#IAC Productions

[bkenber]

Rachel Nichols Talks About the Making of 'Alex Cross'

Rachel Nichols Talks About the Making of ‘Alex Cross’

RACHEL NICHOLS stars in ALEX CROSS WRITER’S NOTE: This article was originally written back in 2012. She has had memorable roles in movies like “P2,” “Star Trek” and “G.I. Joe: The Rise of Cobra,” but it’s going to be hard to forget about Rachel Nichols after watching her in “Alex Cross.” As Detective Monica Ashe, partner to Cross and lover to Detective Tommy Kane (Ed Burns), Nichols is a strong…

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#2012 Movies #Acting #Alex Cross #Beverly Hills #Detroit #Detroit Police Department #Ed Burns #Emmett/Furia Films #Envision Entertainment Corporation #Four Seasons Hotel #IAC Productions #James Patterson #Monica Ashe #Police #QED International #Rachel Nichols #Rob Cohen #Summit Entertainment #Tyler Perry

[starsoforionwrites]

if I have to learn one more thing about aws bucket access policies I'm going to fucking explode

#stars boring life #work bullshit #somehow iac gets sold as a productivity aid l #which is in fucking sane #please let me stop learning new things for one day im exhausted

[vulpixhoney]

people keep comparing the WatcherTV move to Dropout (for obvious reasons) but I cannot emphasize enough how vastly different the circumstances between the companies is. like astronomically different

• Watcher does not have the years of experience that Dropout/CollegeHumor did. CH as a company formed in 1999. They've been doing sketch comedy since the early 2000s. they were a company, like an actual company with offices and departments and everything. Watcher hasn't even existed for 5 years

• Because CH has been established for that long, not only do they have an established connection to the industry, but they have an established fan base already. People that knew about and were fans of CH for over a decade, before Dropout was even a thought in someone's head.

• When Dropout was in its infancy, CH was still under their parent company IAC, they weren't roughing it completely on their own the way that Watcher is. They were later dropped by IAC, but having that connection and funding in the vulnerable start was important

• CH was still posting sketches and skits on YouTube for free while filling out Dropout's catalog. They didn't hard shift into exclusively subscription based, they continued doing both for the first couple years in order to help get Dropout established. Even now, they still occasionally post full episodes for free on YouTube, including whole seasons of Dimension 20

• They have a large rotating cast that they move between multiple shows. They have a variety of content and a variety of entertainers to be guests on shows. Watcher has 3 guys which the occasional guest

• A big part of this transition is because Watcher's episodes have a high production cost. That's what they claim. That it costs hundreds of thousands of dollars to film one episode of Ghost Files. but why?? why does it cost that much?? I get cost of travel for talent and crew but hundreds of thousands of dollars per episode?

• When IAC dropped CH and they went bankrupt in 2020, they only had 7 employees. When Sam Reich bought the company, they only had 7 employees. not twenty five. I'm not advocating for laying off people, but maybe they shouldn't be payrolling more people than they can afford

• also. Sam Reich is very vocal about how Dropout surviving and succeeding was nothing short of a miracle. They didn't get that success because the business model works, they got that success from years of networking, hard work, and pure luck

#watcher #dropout

[annajade456]

The DevOps Lifecycle: Building, Testing, and Deploying with Confidence

DevOps, a combination of "Development" and "Operations," has emerged as a game-changer in the software development landscape. It represents a comprehensive approach that fosters collaboration between development and operations teams, emphasizes automation, and cultivates a culture of continuous improvement. In this blog post, we will delve deeper into the world of DevOps, exploring its principles, practices, and how it works. 

The Essence of DevOps: 

DevOps is more than just a buzzword; it's a mindset that aims to break down silos and bridge the gap between traditionally isolated development and operations teams. At its core, DevOps promotes collaboration, automation, and a relentless focus on delivering high-quality software faster and more efficiently.

Collaboration: DevOps encourages close collaboration and communication between development and operations teams. By working together from the initial stages of a project, teams can align their goals, streamline processes, and reduce conflicts.

Automation: Automation is the backbone of DevOps. It involves using tools and scripts to automate repetitive tasks, such as code building, testing, and deployment. This not only speeds up development but also reduces the risk of human error.

The DevOps Lifecycle: 

DevOps introduces a structured lifecycle that encompasses various stages, ensuring a seamless flow from code development to deployment and beyond.

Continuous Integration (CI): In this phase, developers frequently integrate their code into a shared repository. CI tools automatically build and test the code with every change, ensuring it remains functional and error-free.

Continuous Delivery (CD): Building on CI, CD automates the deployment process, allowing for the continuous delivery of tested code to production or staging environments. This enables rapid and reliable releases.

Monitoring and Feedback: DevOps teams continuously monitor applications and infrastructure in production. They collect feedback on system performance, user experience, and any issues that arise. This feedback loop is crucial for making improvements and responding to issues promptly.

Infrastructure as Code (IaC): IaC is a DevOps practice that involves managing infrastructure using code. It enables the automated provisioning, scaling, and configuration of infrastructure resources, ensuring consistency and reproducibility.

Version Control: Version control systems like Git are essential for tracking code changes, enabling collaboration, and ensuring code integrity.

The Cultural Shift: 

DevOps isn't just about tools and processes; it's also about fostering a cultural shift within an organization.

Shared Responsibility: DevOps promotes a culture of shared responsibility, where both development and operations teams take ownership of the entire software delivery process. This reduces blame-shifting and encourages problem-solving.

Accountability: DevOps encourages accountability for code quality, security, and performance. Team members are responsible for the outcomes of their work, from development to deployment.

Trust and Collaboration: Open communication and trust between teams are essential. DevOps encourages cross-functional teams to work together, breaking down traditional barriers.

DevOps is not just a trend but a transformative approach to software development and deployment. Its principles of collaboration, automation, and cultural transformation are reshaping the industry. ACTE Technologies, through its training and consulting services, plays a pivotal role in preparing professionals and organizations for success in the DevOps-driven world. Embracing DevOps and partnering with ACTE Technologies can lead to faster, more reliable software delivery and a competitive edge in today's dynamic tech landscape. Start your DevOps journey today and reap the benefits of this revolutionary approach.

#devops #devops course #devops training #tech

[sravyaaa]

Azure DevOps Training

Azure DevOps Training Programs

In today's rapidly evolving tech landscape, mastering Azure DevOps has become indispensable for organizations aiming to streamline their software development and delivery processes. As businesses increasingly migrate their operations to the cloud, the demand for skilled professionals proficient in Azure DevOps continues to soar. In this comprehensive guide, we'll delve into the significance of Azure DevOps training and explore the myriad benefits it offers to both individuals and enterprises.

Understanding Azure DevOps:

Before we delve into the realm of Azure DevOps training, let's first grasp the essence of Azure DevOps itself. Azure DevOps is a robust suite of tools offered by Microsoft Azure that facilitates collaboration, automation, and orchestration across the entire software development lifecycle. From planning and coding to building, testing, and deployment, Azure DevOps provides a unified platform for managing and executing diverse DevOps tasks seamlessly.

Why Azure DevOps Training Matters:

With Azure DevOps emerging as the cornerstone of modern DevOps practices, acquiring proficiency in this domain has become imperative for IT professionals seeking to stay ahead of the curve. Azure DevOps training equips individuals with the knowledge and skills necessary to leverage Microsoft Azure's suite of tools effectively. Whether you're a developer, IT administrator, or project manager, undergoing Azure DevOps training can significantly enhance your career prospects and empower you to drive innovation within your organization.

Key Components of Azure DevOps Training Programs:

Azure DevOps training programs are meticulously designed to cover a wide array of topics essential for mastering the intricacies of Azure DevOps. From basic concepts to advanced techniques, these programs encompass the following key components:

Azure DevOps Fundamentals: An in-depth introduction to Azure DevOps, including its core features, functionalities, and architecture.

Agile Methodologies: Understanding Agile principles and practices, and how they align with Azure DevOps for efficient project management and delivery.

Continuous Integration (CI): Learning to automate the process of integrating code changes into a shared repository, thereby enabling early detection of defects and ensuring software quality.

Continuous Deployment (CD): Exploring the principles of continuous deployment and mastering techniques for automating the deployment of applications to production environments.

Azure Pipelines: Harnessing the power of Azure Pipelines for building, testing, and deploying code across diverse platforms and environments.

Infrastructure as Code (IaC): Leveraging Infrastructure as Code principles to automate the provisioning and management of cloud resources using tools like Azure Resource Manager (ARM) templates.

Monitoring and Logging: Implementing robust monitoring and logging solutions to gain insights into application performance and troubleshoot issues effectively.

Security and Compliance: Understanding best practices for ensuring the security and compliance of Azure DevOps environments, including identity and access management, data protection, and regulatory compliance.

The Benefits of Azure DevOps Certification:

Obtaining Azure DevOps certification not only validates your expertise in Azure DevOps but also serves as a testament to your commitment to continuous learning and professional development. Azure DevOps certifications offered by Microsoft Azure are recognized globally and can open doors to exciting career opportunities in various domains, including cloud computing, software development, and DevOps engineering.

Conclusion:

In conclusion, Azure DevOps training is indispensable for IT professionals looking to enhance their skills and stay relevant in today's dynamic tech landscape. By undergoing comprehensive Azure DevOps training programs and obtaining relevant certifications, individuals can unlock a world of opportunities and propel their careers to new heights. Whether you're aiming to streamline your organization's software delivery processes or embark on a rewarding career journey, mastering Azure DevOps is undoubtedly a game-changer. So why wait? Start your Azure DevOps training journey today and pave the way for a brighter tomorrow.

#azure #azure devops #devops tools #devops course

[tiltedsyllogism]

ao3 stats game!

tagged by @reginaldbright . ao3 is back up (bless), let's do this.

Rules: Give us the links to your wonderful words with the Most hits, Most kudos, Most comments, Most bookmarks, Most words, and Least words.

Most hits, most words and most bookmarks: All Our Gifts at Once, or, the Young Sea-Man, a Sherlock/John Victorian AU that is also a realist retelling of The Little Mermaid. I started it almost exactly ten years ago (one week from today!) and finished it in late 2014, but I'm still very proud of this one -- it had several layers of ambition and I think I mostly pulled them all off. (It's also my only proper multichapter, which is surely part of the hit count.)

Most kudos: The Thought That Counts, also Sherlock, written for an exchange and much fluffier than my usual. I remain convinced the reason this one took off is that @moonblossom reblogged it right after I posted it.

Most comments: God Rest Ye Sleuthy, Gentlemen, an advent collection of drabbles and 221bs. (Also Sherlock.)

fourth-most hits and kudos (yes this is extremely stupid, but I would like to get at least one [1] fic on here that is not Sherlock): The Words That Other People Say. Jessica Jones, Jessica/Trish. This is a precanon story about the year Trish goes away to college. I wrote it post S1 and it was profoundly jossed by S2 (which, like: is that supposed to happen with precanon stuff? anyhow)

Least words: So the thing about being in Sherlock fandom for so long is that I have many, many fics that are 221 words. My shortest fic that it not the product of deliberate formal constraints is Foiled, a silly little holiday-ish gen fic about John Watson trying to pick up a Jewish police officer and getting razzed by Sherlock when he mucks it up.

winner in all categories in my current (tiny) fandom: Always In This Twilight, Margo/Sergei, minor canon divergence, set at the 1991 IAC. (technically The Path is about 150 words longer, but AITT is way out ahead in all the other categories.)

If anyone else is interested in doing this, please consider yourself tagged, and tag me so that I see it! I love this shit. I am also deliberately tagging @porcupine-girl , @destinationtoast , @nicehatgeorgia, @a-still-small-vox , @daerienn , @clydethistles , @discordantwords , @nakedmonkey, and @kedgeree11 .

#fic ask meme #about the author

[abiyaabi]

Demystifying DevOps: Harmonizing Development and Operations

DevOps Essentials: DevOps serves as a conduit for collaboration and heightened productivity between software development and IT operations teams. At its core, DevOps aims to streamline the software development lifecycle, ensuring the continuous delivery of top-tier software. Key tenets include automation, collaboration, and the implementation of continuous integration/continuous deployment (CI/CD) processes.

Unveiling the Core Tenets:

Collaboration: Breaking down silos to create a shared culture and responsibilities between development and operations teams.

Automation: Leveraging automated processes to eliminate manual tasks, reduce errors, and enhance efficiency.

CI/CD: Emphasizing continuous integration and deployment for swift and reliable software releases.

Diverse Career Paths in the DevOps Realm

1. DevOps Engineer: Role: Implementation and management of tools and processes for streamlined software development, testing, and deployment. Responsibilities: Collaborate across teams, optimize CI/CD pipelines, and ensure the efficiency of software delivery.

2. Site Reliability Engineer (SRE): Role: Concentration on ensuring the reliability, availability, and performance of systems through automation, monitoring, and incident response. Responsibilities: Implementation of robust monitoring solutions, automation of recovery processes, and improvement of system reliability.

3. Cloud Engineer: Role: Specialization in designing, implementing, and maintaining cloud infrastructure, often involving Infrastructure as Code (IaC) tools and cloud provider services. Responsibilities: Optimization of cloud environments, ensuring scalability, and managing infrastructure through code.

4. Automation Engineer: Role: Development of scripts and tools to automate manual processes, enhancing efficiency and minimizing human errors. Responsibilities: Identification of areas for automation, script creation, and monitoring of automated processes.

5. Release Manager: Role: Coordination of the release process, ensuring efficient and reliable software delivery with minimal disruptions. Responsibilities: Collaboration with development and operations teams, planning of release schedules, and overseeing deployment processes.

6. Security DevOps Engineer (DevSecOps): Role: Integration of security practices into the DevOps pipeline, ensuring security considerations at every stage of development and deployment. Responsibilities: Conducting security assessments, implementing security controls, and educating teams on secure coding practices.

Sustained Demand for DevOps Professionals: Unraveling the Factors

As organizations globally acknowledge the advantages of incorporating DevOps practices, the demand for skilled professionals in this field continues to surge. Several factors contribute to the perpetual demand for DevOps practitioners:

1. Efficiency Gains: DevOps practices significantly enhance efficiency by automating manual tasks, reducing errors, and accelerating software delivery. Organizations seek professionals who can optimize processes for maximum efficiency.

2. Continuous Improvement: The DevOps culture emphasizes continuous improvement. Companies value professionals who embrace a mindset of constant learning, adaptability, and a commitment to refining processes.

3. Collaboration is Key: The collaboration fostered by DevOps is invaluable. Companies are eager to bring in professionals who can bridge the gap between development and operations teams, fostering effective communication and shared goals.

4. Faster Time-to-Market: DevOps enables organizations to release software faster and more reliably. In a competitive landscape, companies strive to minimize time-to-market, making skilled DevOps professionals indispensable.

5. Scalability in the Cloud: The move towards cloud computing amplifies the need for DevOps expertise. Professionals who can navigate cloud environments, implement Infrastructure as Code, and optimize cloud infrastructure are in high demand.

A Roadmap to Success in the DevOps Journey: Navigating Practices and Transformations

1. Instill a DevOps Culture: Commence your journey by fostering a collaborative and innovative culture within your organization. Encourage open communication, shared responsibilities, and a commitment to continuous improvement.

2. Evaluate Existing Processes: Conduct a comprehensive assessment of current development and operations processes. Identify bottlenecks, communication gaps, and areas where automation can bring significant improvements.

3. Embrace the Power of Automation: Implement automation practices across the software development lifecycle. Automate build, testing, and deployment processes to enhance efficiency and reduce manual errors.

4. Establish CI/CD Pipelines: Lay the foundation for robust Continuous Integration and Continuous Deployment (CI/CD) pipelines. Ensure that code changes are seamlessly integrated, rigorously tested, and deployed consistently.

5. Dive into Containerization: Introduce containerization using tools like Docker. Containers ensure consistency across different environments and facilitate scalable and efficient deployment of applications.

6. Embrace Cloud Infrastructure: Contemplate the migration to cloud infrastructure to leverage scalability and flexibility. Familiarize yourself with leading cloud platforms and delve into Infrastructure as Code (IaC) tools.

7. Continuous Monitoring and Feedback Loops: Implement continuous monitoring practices to track the performance of applications and infrastructure. Establish feedback loops for swift issue detection and resolution.

8. Cultivate a Learning Culture: Encourage teams to actively engage in continuous learning. Stay updated on industry trends, participate in training programs, and foster a culture where learning is valued.

9. Cultivate a Robust Skill Set: DevOps professionals should develop a diverse skill set, encompassing automation tools, cloud technologies, security practices, and collaboration techniques.

10. Embrace Adaptability and Innovation: DevOps is a journey of constant evolution. Stay adaptable, experiment with new tools and methodologies, and innovate to meet the evolving needs of your organization.

Thriving in the DevOps Ecosystem: Conclusion

In conclusion, DevOps transcends being merely a set of practices; it's a cultural transformation that empowers organizations to deliver software efficiently and reliably. The diverse job opportunities within the DevOps landscape cater to professionals with skills ranging from automation and cloud engineering to security and collaboration.

Embark on your DevOps journey with the understanding that it's a continuous evolution. Stay curious, stay adaptable, and let your commitment to efficiency and collaboration guide you through the dynamic and rewarding world of DevOps. Best of luck on your path to unlocking the power of DevOps!

#devops #devops training #devops course #tech #technology

[allthebrazilianpolitics]

Brazil: New Tahiti lemon has superior productivity

Brazilian citriculture gains three important new materials, two varieties of orange and one of Tahiti lemon. Limão Tahiti BRS EECB IAC Ponta Firme has a productivity of 80 t/ha, 242% higher than the average for the state of São Paulo, the largest Brazilian producer, while retaining high quality levels. The BRS IAC FCC Alvorada orange tree is versatile and can be used for juice or  fresh consumption. Navelina XR is the first orange tree resistant to the bacterium that causes yellowing (citrus variegated chlorosis, CVC).

The three citrus varieties are the result of research in partnership between Embrapa, the Coopercitrus Credicitrus Foundation ( FCC ) and the Sylvio Moreira Citriculture Center ( CCSM ), linked to the Agronomic Institute ( IAC ).

Source.

#brazil #politics #brazilian politics #economy #farming #mod nise da silveira #image description in alt

[ammg-old2]

It was a simpler time. A friend introduced us, pulling up a static yellow webpage using a shaky dial-up modem. A man stood forth, dressed in a dapper black pinstriped suit with a red-accented tie. He held one hand out, as if carrying an imaginary waiter’s tray. He looked regal and confident and eminently at my service. “Have a Question?” he beckoned. “Just type it in and click Ask!” And ask, I did. Over and over.

With his steady hand, Jeeves helped me make sense of the tangled mess of the early, pre-Google internet. He wasn’t perfect—plenty of context got lost between my inquiries and his responses. Still, my 11-year-old brain always delighted in the idea of a well-coiffed man chauffeuring me down the information superhighway. But things changed. Google arrived, with its clean design and almost magic ability to deliver exactly the answers I wanted. Jeeves and I grew apart. Eventually, in 2006, Ask Jeeves disappeared from the internet altogether and was replaced with the more generic Ask.com.

Many years later, it seems I owe Jeeves an apology: He had the right idea all along. Thanks to advances in artificial intelligence and the stunning popularity of generative-text tools such as ChatGPT, today’s search-engine giants are making huge bets on AI search chatbots. In February, Microsoft revealed its Bing Chatbot, which has thrilled and frightened early users for its ability to scour the internet and answer questions (not always correctly) with convincingly human-sounding language. The same week, Google demoed Bard, the company’s forthcoming attempt at an AI-powered chat-search product. But for all the hype, when I stare at these new chatbots, I can’t help but see the faint reflection of my former besuited internet manservant. In a sense, Bing and Bard are finishing what Ask Jeeves started. What people want when they ask a question is for an all-knowing, machine-powered guide to confidently present them with the right answer in plain language, just as a reliable friend would.

With this in mind, I decided to go back to the source. More than a decade after parting ways, I found myself on the phone with one of the men behind the machine, getting as close to Asking Jeeves as is humanly possible. These days, Garrett Gruener, Ask Jeeves’s co-creator, is a venture capitalist in the Bay Area. He and his former business partner David Warthen eventually sold Ask Jeeves to Barry Diller and IAC for just under $2 billion. Still, I wondered if Gruener had been unsettled by Jeeves’s demise. Did he, like me, see the new chatbots as the final form of his original idea? Did he feel vindicated or haunted by the fact that his creation may have simply been born far too early?

The original conception for Jeeves, Gruener told me, was remarkably similar to what Microsoft and Google are trying to build today. As a student at UC San Diego in the mid-1970s, Gruener—a sci-fi aficionado—got an early glimpse of ARPANET, the pre-browser predecessor to the commercial internet, and fell in love. Just over a decade later, as the web grew and the beginnings of the internet came into view, Gruener realized that people would need a way to find things in the morass of semiconnected servers and networks. “It became clear that the web needed search but that mere mortals without computer-science degrees needed something easy, even conversational,” he said. Inspired by Eliza, the famous chatbot designed by MIT’s Joseph Weizenbaum, Gruener dreamed of a search engine that could converse with people using natural-language processing. Unfortunately, the technology wasn’t sophisticated enough for Gruener to create his ideal conversational search bot.

So Gruener and Warthen tried a work-around. Their code allowed a user to write a statement in English, which was then matched to a preprogrammed vector, which Gruener explained to me as “a canonical snapshot of answers to what the engine thought you were trying to say.” Essentially, they taught the machine to recognize certain words and provide really broad categorical answers. “If you were looking for population stats for a country, the query would see all your words and associated variables and go, Well, this Boolean search seems close, so it’s probably this.” Jeeves would provide the answer, and then you could clarify whether it worked or not.

“We tried to discern what people were trying to say in search, but without actually doing the natural-recognition part of it,” Gruener said. After some brainstorming, they realized that they were essentially building a butler. One of Gruener’s friends mocked up a drawing of the friendly servant, and Jeeves was born.

Pre-Google, Ask Jeeves exploded in popularity, largely because it allowed people to talk with their search engine like a person. Within just two years, the site was handling more than 1 million queries a day. A massive Jeeves balloon floated down Central Park West during Macy’s 1999 Thanksgiving parade. But not long after the butler achieved buoyancy, the site started to lose ground in the search wars. Google’s web-crawling superiority led to hard times for Ask Jeeves. “None of us were very concerned about monetization in the beginning,” Gruener told me. “Everyone in search early on realized, if you got this right, you’d essentially be in the position of being the oracle. If you could be the company to go to in order to ask questions online, you’re going to be paid handsomely.”

Gruener isn’t bitter about losing out to Google. “If anything, I’m really proud of our Jeeves,” he told me. Listening to Gruener explain the history, it’s not hard to see why. In the mid-2000s, Google began to pivot search away from offering only 10 blue links to images, news, maps, and shopping. Eventually, the company began to fulfill parts of the Jeeves promise of answering questions with answer boxes. One way to look at the evolution of big search engines in the 21st century is that all companies are trying their best to create their own intuitive search butlers. Gruener told me that Ask Jeeves’s master plan had two phases, though the company was sold before it could tackle the second. Gruener had hoped that, eventually, Jeeves could act as a digital concierge for users. He’d hoped to employ the same vector technology to get people to ask questions and allow Jeeves to make educated guesses and help users complete all kinds of tasks. “If you look at Amazon’s Alexa, they’re essentially using the same approach we designed for Jeeves, just with voice,” Gruener said. Yesterday’s butler has been rebranded as today’s virtual assistant, and the technology is ubiquitous in many of our home devices and phones. “We were right for the consumer back then, and maybe we’d be right now. But at some point the consumer evolved,” he said.

I’ve been fixated on what might’ve been if Gruener’s vision had come about now. We might all be Jeevesing about the internet for answers to our mundane questions. Perhaps our Jeevesmail inboxes would be overflowing and we’d be getting turn-by-turn directions from an Oxford-educated man with a stiff English accent. Perhaps we’d all be much better off.

Gruener told me about an encounter he’d had during the search wars with one of Google’s founders at a TED conference (he wouldn’t specify which of the two). “I told him that we’re going to learn an enormous amount about the people who are using our platforms, especially as they become more conversational. And I said that it was a potentially dangerous position,” he said. “But he didn’t seem very receptive to my concerns.”

Near the end of our call, I offered an apology for deserting Jeeves like everyone else did. Gruener just laughed. “I find this future fascinating and, if I’m honest, a little validating,” he said. “It’s like, ultimately, as the tech has come around, the big guys have come around to what we were trying to do.”

#history #technology #digital technology #computing #internet #ask jeeves #google

[incarnateirony]

forgive my illiteracy if my understanding of this is fucked up, I have brain melt from chronic lack of sleep - are you saying you worked at or have connections with people in ew/people mag? not sure how much weight that even has because I thought you were the one who always said not to buy into gossip rags but….

Adjacent. Not one in the same. The list you see is honestly partial. Most of those have many like. Sub acquisitions and partners and shit that all lead up into the master company. They're basically the leading media content provider you've never heard of because they don't brandish branding or own individual major networks, but most search sites, most utility sites, most marketing and news sites, etc lead into it. Is it google or amazon? No. Then it's IAC, basically.

Basically. There's NBC, ABC, CBS, Fox, CW, cable and The Internet And Marketing. IAC is the silent God Of The Internet And Marketing.

...Also EW isn't a gossip rag. Apparently this fandom has a truly, genuinely, deeply fucked up idea of what good sources are. Even Daily Beast, which was one of IAC's, is just commentary nonsense when it comes to media. EW is a paid, targeted thing that coordinates its messaging in sync with the productions working on it. Its interviews are measured and agreed on in advance, swept over multiple times in agreement, they get custom photo shoots as prime stuff, they get screeners direct, they get advanced marketing information, press packets, you name it.

Hence livestream interviews with the actors in key moments, which is a VERY DANGEROUS FUCKING THING honestly and is a great amount of business trust in the screening and professionality of the interviewers. Actually, EW is one of the only venues to ever do livestreams, most others are recorded, even like TVLine and shit, because they aren't trusted enough to handle livestreams. That's an EW exclusive. This isn't the same as being a dipshit posting an opinion on screenrant dot com. What the fuck. Come on yall. Catch a clue. Are you kidding me. You can't tell the difference???? Are you high, perhaps.

Like, shit. My small hobby livestreams with the Arrowstorm crew for The Outpost only happened because Jennifer, the owner's wife, was a good friend of mine along with a bunch of the crew and knew I would protect everyone there like family. Generally actors don't DO live streams, because they can get fucked, even by mistake. If you angle a question wrong someone can slip up and say the wrong shit by mistake just due to freudianism, and weird shit can burn down creatives careers. Hell, I was following instructions to hide a near full leg cast on Sonalii for about half a year so it wouldn't damage her work prospects. Which is why I raged on and on about being pissed at CW beyond Deancas, and saying a friend got injured badly on a CW set. But it's just as much protecting her to hide that as it is the company, because that shit can assfuck careers.

They're also behind the recent resurgence of Atlanta, by releasing the meredith local group stations to Gray, making Atlanta self owned, them one of the largest market providers, and giving them the monetization they needed to build the Assembly that is becoming Studio City. And why all the WB shit ran to the gulf. lmfao.

Basically someone told the acquisition-acquisition to sell to Gray because it would be the most they get for the stations they were already struggling with and the value wouuld only decline and compound losses since they didn't have the means to actually elevate the performance nor the leverage to enforce it against larger syndicates. and it shifted media mass and pulled alllllll the gravity into atlanta, even catching WBD tumbling down into the Assembly. While it loses its airspace. And is suddenly dependent on syndicates for CW. And basically, due to one seemingly insignificant sale of some stations, in tandem with a nicely timed boycott that broke CW, WB, and CBS' kneecaps, miraculously timed by coinkidink or whatever fandom wants to think, TBS came in and kidnapped CW back, and you can read my posts about that history.

Geezus.

No seriously. Welcome to hell. What you're digging at is the hellacious lovecraftian beast that is the entertainment industry. Everyone owns everything in a fucked up web that pulls invisible strings you guys haven't even computed existing. You gotta understand at all times there's like a turf war of the gods going on invisibly overhead that you guys never even processed until I started talking about it. You know, when I was talking about the Meredith acquisition by Gray, and the Assembly. Before everything else I said about CW lined up. So before trying to decide what you qualify as a gossip rag, start tracking who accesses what, who owns what, and where those strings go.

[spacetimewithstuartgary]

Molecules precursors to life discovered in the Perseus Cloud The scientists Susan Iglesias-Groth, of the Instituto de Astrofísica de Canarias (IAC) and Martina Marín-Dobrincicof the Polytechnic University of Cartagena have discovered the presence of numerous prebiotic molecules in the star formation region IC348 of the Perseus Molecular Cloud, a young star cluster some 2-3 million years old. Some of these biological molecules are considered essential building bricks for the construction of more complex molecules such as the amino acids, which formed the genetic code of ancient micro-organisms, and brought about the flourishing of life on Earth. Getting to know the distribution and the abundances of these precursor molecules in regions where planets are very probably forming, is an important challenge for astrofphysics. The Perseus Cloud is one of the star forming regions closest to the Solar System. Many of its stars are young, and have protoplanetary discs where the physical processes which give rise to planets can take place. “It is an extraordinary laboratory of organic chemistry” explains Iglesias-Groth who in 2019 found fullerenes in the same cloud. These are complex molecules of pure carbon which often occur as building blocks for the key molecules of life. Now new research has detected in the inner part of this region common molecules such as molecular hydrogen (H2), hydroxyl (OH), water (H2O), carbon dioxide (CO2) and ammonia (NH3) as well as several carbon bearing molecules which could play an important role in the production of more complex hydrocarbons and prebiotic molecules, such as hydrogen cyanide (HCN), acetylene (C2H2), diacetylene (C4H2), cyanoacetylene (HC3N), cyanobutadiyne (HC5N), ethane (C2H6), hexatrine (C6H2) and benzene (C6H6). The data also show the presence of more complex molecules such as the polycyclic armoatic hydrocarbons (PAH) and the fullerenes C60 and C70. “IC 348 seems to be very rich and diverse in its molecular content” states Iglesias-Gorth. “The novelty is that we see the molecules in the diffuse gas from which stars and protoplanetary discs are forming.” The presence of prebiotic molecules at interstellar sites so close to this star clusters suggests the possibility that accretion processes are taking place onto young planets which could contribute to the formation of complex organic molecules. These key molecules could have been supplied to the nacent planets in the protoplanetary discs and could in this way help to produce there a route towards the molecules of life” stresses Marina-Dobrincic. The detection by the two researchers is based on data taken wth NASA’s Spitzer satellite. The next step will be to use the powerful James Webb Space Telescope (JWST). “The spectroscopic capacity of the JWST could provide details about the spatial distribution of all these molecules, and extend the present search to others which are more complex, giving higher sensitivity and resolution which are essential to confirm the very probable presence of amino acids in the gas in this and in other star forming regions” concludes Iglesias-Groth. IMAGE....Artistic composition of a “soup” of prebiotic molecules around a protoplanetary disc. CREDIT Gabriel Pérez Díaz (IAC)

#space #science #Astronomy #physics #news #astrobiology

[usafphantom2]

Indian Navy officially receives aircraft carrier "Vikrant"

Diego Alves By Diego Alves 08/04/2022 - 15:00 in Military, War Zones

The Indian Navy made history by receiving the "prestigious" Aircraft Carrier (IAC) 'Vikrant' from its builder Cochin Shipyard Limited (CSL), Kochi.

Designed by the Directorate of Naval Design (DND) of the Indian Navy and built by CSL, a Public Sector Shipyard under the Ministry of Navigation (MoS), the aircraft carrier was named after its illustrious predecessor, India's first aircraft carrier to play a vital role in the 1971 war. Coinciding with the celebrations to commemorate the 75th anniversary of India's independence 'Azadi Ka Amrit Mahotsav', the reincarnation of Vikrant is a true testimony to the country's zeal and fervor in the search for capacity to increase maritime safety.

The 262-meter-long aircraft carrier has a total displacement of about 45,000 tons, much larger and more advanced than its predecessor. The ship is powered by four gas turbines totaling 88 MW of power and has a maximum speed of 28 knots. Built at a total cost of about Rs. 20,000 Crs (US$252MI), the project progressed in three phases of a contract between MoD and CSL, concluded in May 2007, December 2014 and October 2019, respectively. The ship's keel was "beated" in February 2009, followed by launch in August 2013. With about 76% of local technology, Vikrant is a perfect example of the country's search for "Aatma Nirbhar Bharat" and provides a boost to the Indian government's 'Make in India'.

The Vikrant aircraft carrier leaves Cochin Shipyard in Kochi, India, after its launch on August 12, 2013. Reuters Photo

The Vikrant was built with a high degree of automation for machine operation, navigation and survivability, and is designed to accommodate a variety of fixed-wing and rotary aircraft. The ship is capable of operating an air wing composed of 30 aircraft composed of MIG-29K fighters, Kamov-31, MH-60R multifunction helicopters, as well as advanced light helicopters (ALH) and domestically manufactured light combat aircraft. Using a new mode of operation for aircraft launch known as STOBAR (Short Take-Off but Arrested Landing), the IAC is equipped with a "ramp" for launching aircraft and a set of 'retention cables' for their recovery on board.

The ship has a large number of locally manufactured equipment and machines, involving the main industrial companies in the country. The efforts also led to the development of auxiliary industries, as well as the generation of employment opportunities and reinforcement of the return effect on the economy.

Vikrant during the tests at sea in September 2021. Photo Cochin Shipyard Limited

A major offshoot of this is the development and production of treated steel, for use on warships through a partnership between the Navy, DRDO and the Steel Authority of India (SAIL), which allowed the country to become self-sufficient with respect to the steel used on the ship. Today all the warships that are being built in the country are being manufactured with 100% local steel.

Several design iterations, including the use of 3D Virtual Reality models and advanced engineering software, have been used by the Naval Design Directorate to shape the design of the aircraft carrier. CSL has also updated its shipbuilding infrastructure, as well as improving productivity skills during ship construction.

Photo of the delivery ceremony. Photo MoD India.

The delivery of Vikrant was marked by the signing of acceptance documents on behalf of the Indian Navy by the Designated Commander of Vikrant, representatives of the Naval Headquarters and the Warship Supervision Team (Kochi), and by the President and Administrative Director on behalf of Cochin Shipyard Ltd., in the presence of senior officers of the Indian Navy and Cochin Shipyard.

Vikrant was delivered to the Indian Navy by CSL after extensive user acceptance tests carried out between August 2, 2021 and July 20, 2022, during which the ship's performance, including hull, main propulsion, auxiliary equipment, aviation facilities, weapons and sensors, as well as the maintenance and maneuvering capabilities at sea, proved satisfactory according to the test protocols and system parameters.

Indian Navy service members with representatives of Cochin Shipyard on the flight deck of Vikrant. Indian Marine Photo.

The delivery of Vikrant is the culmination of a long phase of design, construction and testing, during which the Indian Navy and CSL had to overcome a multitude of unprecedented technical and logistical challenges, including the COVID-19 pandemic and the altered geopolitical scenario. The successful delivery of the Indian aircraft carrier, in addition to an important activity and a historic event, testifies to the dedicated efforts of a large number of stakeholders in the Indian Navy, shipyard, industry, OEMs and M SMEs for more than two decades.

The aircraft carrier will soon be commissioned into the Indian Navy as Indian Naval Ship (INS) Vikrant, which will strengthen India's position in the Indian Ocean Region (IOR) by consolidating the Indian Navy as a local and global leader.

Tags: INS VikrantIndian NavyWar Zones - India/Pakistan

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[flentas]

Cloud Infrastructure Automation: Streamlining Operations for IT Teams 

In the ever-evolving landscape of technology, businesses are continually seeking ways to optimize their operations and stay ahead of the competition. Cloud infrastructure automation has emerged as a game-changer, enabling organizations to streamline their IT operations, enhance scalability, and improve overall efficiency. Flentas, an AWS consulting partner, understands the significance of cloud infrastructure automation and offers comprehensive managed services to assist businesses in harnessing their full potential. This blog will delve into the benefits and best practices of cloud infrastructure automation, highlighting its transformative impact on IT teams. 

The Evolution of IT Operations: 

No longer do IT teams have to deal with manual, time-consuming tasks. In the past, routine activities such as provisioning servers, configuring networks, and managing storage were carried out manually, leading to human errors, delays, and inefficiencies. However, IT teams can automate these repetitive tasks with cloud infrastructure automation and focus on more strategic initiatives. 

Benefits of Cloud Infrastructure Automation: 

Enhanced Efficiency: By automating routine tasks, IT teams can eliminate manual errors, accelerate deployment processes, and improve overall efficiency. With automation tools, infrastructure provisioning, configuration management, and software deployments can be carried out swiftly and consistently.

Scalability and Flexibility: Automating cloud infrastructure enables businesses to adjust their resources according to demand and easily adapt their scale as required. With the ability to automate resource provisioning and de-provisioning, organizations can quickly adapt to changing workloads, ensuring optimal performance and cost efficiency.

Cost Optimization: Traditional IT infrastructure often involves substantial upfront costs and ongoing maintenance expenses. Cloud infrastructure automation allows businesses to optimize costs by paying only for their consumed resources. With automation, organizations can dynamically adjust their infrastructure based on actual requirements, eliminating the need for overprovisioning and reducing wastage.

Increased Reliability: Automation minimizes human errors and ensures consistent configurations across infrastructure components. This leads to enhanced reliability and reduced downtime, as changes and updates can be applied precisely and quickly. Furthermore, automated backups and disaster recovery processes protect critical data and applications.

Best Practices for Cloud Infrastructure Automation: 

Define Clear Goals: Before embarking on cloud infrastructure automation, it is essential to define clear goals and objectives. Identify the tasks and processes that can be automated to boost productivity and align with your business goals.

Adopt a Holistic Approach: Rather than automating individual tasks in isolation, take a holistic approach to automation. Consider the end-to-end workflow and identify opportunities for automation across the entire infrastructure stack, including provisioning, configuration management, monitoring, and security.

Use Automation Tools: Take advantage of the vast array of automation tools and frameworks available in the market. Cloud service providers like AWS offer complete services such as AWS CloudFormation, AWS OpsWorks, and AWS Systems Manager, enabling easy and efficient infrastructure resource automation.

Embrace Infrastructure as Code (IaC): It allows you to define your infrastructure requirements using code, making it easily repeatable, version-controlled, and auditable. Tools like AWS CloudFormation, HashiCorp Terraform, and Ansible provide powerful capabilities for implementing IaC.

Continuous Monitoring and Optimization: Automation should not be a one-time effort; it requires continuous monitoring and optimization. Regularly evaluate your automated processes' effectiveness, identify improvement areas, and incorporate feedback from IT teams to ensure ongoing efficiency gains.

Cloud infrastructure automation has emerged as a vital enabler for IT teams, empowering them to focus on strategic initiatives rather than being bogged down by routine tasks. Flentas, as an AWS consulting partner, recognizes the immense value cloud infrastructure automation brings to businesses. Our managed services provide comprehensive support in implementing and optimizing automation, ensuring organizations can leverage the full potential of their cloud infrastructure. By embracing automation, businesses can enhance efficiency, scalability, cost optimization, and reliability, ultimately gaining a competitive edge in today's fast-paced digital landscape.

For more details about our services, please visit our website – Flentas Technologies 

#cloud managed services #Managed cloud services #aws managed services

[sigmasolveinc]

Streamlining Machine Learning Workflow with MLOps

Machine Learning Operations, commonly known as MLOps, is a set of practices and tools aimed at unifying machine learning (ML) system development and operations. It combines aspects of DevOps, data engineering, and machine learning to enhance the efficiency and reliability of the entire ML lifecycle. In this article, we will explore the significance of MLOps and how it streamlines the machine learning workflow and deployment process.

Benefits of MLOps:

Increased Collaboration: MLOps breaks down silos between different teams, fostering collaboration and knowledge sharing. Cross-functional teams can work together more seamlessly, leading to a holistic understanding of the machine learning pipeline.

Improved Reproducibility: Version control and containerization contribute to the reproducibility of machine learning experiments. This is essential for validating and reproducing results, especially in research or highly regulated industries.

Faster Time to Market: Automation and continuous deployment reduce the time it takes to move from model development to production. This agility allows organizations to respond quickly to market changes, gain a competitive edge, and deliver value to customers more efficiently.

Enhanced Scalability: Containerization and orchestration enable the seamless scaling of machine learning applications. This is crucial for handling varying workloads and ensures that models perform consistently, regardless of the deployment environment.

Robust Monitoring and Maintenance: MLOps emphasizes continuous monitoring, making it easier to detect issues such as model drift or degradation in performance. Proactive monitoring ensures that models remain effective and reliable throughout their lifecycle.

Key Components of MLOps: 

Collaboration and Communication:

MLOps facilitates better collaboration among cross-functional teams, including data scientists, engineers, and operations. By breaking down silos and fostering communication, MLOps ensures that everyone involved in the ML pipeline is on the same page. Tools such as version control systems and collaborative platforms enable seamless sharing of code, data, and models, leading to increased efficiency and faster development cycles. 

Automated Model Training and Testing: 

One of the key aspects of MLOps is automation. Automated processes for model training and testing reduce manual errors and speed up the development cycle. Continuous integration and continuous deployment (CI/CD) pipelines automate the testing and deployment of models, allowing teams to iterate on models quickly and confidently. This process automation also ensures that the deployed models are always based on the latest data and code, enhancing the overall accuracy of predictions. 

Versioning and Model Tracking: 

MLOps provides robust versioning and model tracking capabilities. Just as code versions are tracked in traditional software development, MLOps tools enable the versioning of models, datasets, and configurations. This ensures reproducibility and traceability, allowing teams to understand how a model was developed, what data it was trained on, and which parameters were used. This is crucial for compliance, auditing, and debugging, especially in regulated industries. 

Infrastructure as Code (IaC): 

MLOps leverages Infrastructure as Code principles to manage and provision the necessary computing resources for ML workloads. IaC enables teams to define and version infrastructure configurations, making it easier to scale resources up or down as needed. This approach ensures consistency between development, testing, and production environments, reducing the likelihood of deployment-related issues and making it simpler to manage complex ML infrastructure. 

Continuous Monitoring and Model Governance: 

Once models are deployed, MLOps ensures continuous monitoring and governance. Monitoring tools track the performance of deployed models, detecting anomalies and drift in real-time. Model governance frameworks help in enforcing policies related to model behavior, data usage, and compliance. This proactive approach to monitoring and governance enhances the reliability of ML systems and allows for prompt intervention in case of issues. 

Scalability and Resource Optimization: 

MLOps addresses the challenges of scaling ML workflows. By leveraging containerization and orchestration tools like Docker and Kubernetes, teams can scale their ML applications seamlessly. This ensures that models can handle varying workloads, from development and testing to production deployment. MLOps practices also optimize resource usage, preventing over-provisioning and reducing infrastructure costs. 

Feedback Loops and Model Iteration: 

MLOps promotes the establishment of feedback loops between model performance in production and the development environment. This allows data scientists to receive insights into how well models are performing in real-world scenarios. The feedback loop facilitates continuous model iteration, enabling teams to adapt models to changing conditions and improve their predictive accuracy over time. 

Challenges and Considerations:

While MLOps brings numerous benefits, its implementation comes with challenges. Ensuring proper governance, addressing ethical considerations, and managing the complexity of evolving machine learning models are critical aspects that organizations must carefully navigate during the adoption of MLOps. 

Conclusion: 

MLOps is a transformative approach that streamlines the machine learning workflow and deployment processes, fostering collaboration, automation, and reliability. By combining the best practices from DevOps and data science, MLOps accelerates the delivery of machine learning models to production, ensuring that they perform optimally and adapt to changing business needs. As organizations increasingly recognize the value of MLOps, its adoption will likely continue to grow, shaping the future of machine learning development and operations.

Original Source: Here

#machine learning #machine learning services #ml development company

[annajade456]

Breaking Barriers With DevOps: A Digital Transformation Journey

In today's rapidly evolving technological landscape, the term "DevOps" has become ingrained. But what does it truly entail, and why is it of paramount importance within the realms of software development and IT operations? In this comprehensive guide, we will embark on a journey to delve deeper into the principles, practices, and substantial advantages that DevOps brings to the table.

Understanding DevOps

DevOps, a fusion of "Development" and "Operations," transcends being a mere collection of practices; it embodies a cultural and collaborative philosophy. At its core, DevOps aims to bridge the historical gap that has separated development and IT operations teams. Through the promotion of collaboration and the harnessing of automation, DevOps endeavors to optimize the software delivery pipeline, empowering organizations to efficiently and expeditiously deliver top-tier software products and services.

Key Principles of DevOps

Collaboration: DevOps champions the concept of seamless collaboration between development and operations teams. This approach dismantles the conventional silos, cultivating communication and synergy.

Automation: Automation is the crucial for DevOps. It entails the utilization of tools and scripts to automate mundane and repetitive tasks, such as code integration, testing, and deployment. Automation not only curtails errors but also accelerates the software delivery process.

Continuous Integration (CI): Continuous Integration (CI) is the practice of automatically combining code alterations into a shared repository several times daily. This enables teams to detect integration issues in the embryonic stages of development, expediting resolutions.

Continuous Delivery (CD): Continuous Delivery (CD) is an extension of CI, automating the deployment process. CD guarantees that code modifications can be swiftly and dependably delivered to production or staging environments.

Monitoring and Feedback: DevOps places a premium on real-time monitoring of applications and infrastructure. This vigilance facilitates the prompt identification of issues and the accumulation of feedback for incessant enhancement.

Core Practices of DevOps

Infrastructure as Code (IaC): Infrastructure as Code (IaC) encompasses the management and provisioning of infrastructure using code and automation tools. This practice ensures uniformity and scalability in infrastructure deployment.

Containerization: Containerization, expressed by tools like Docker, covers applications and their dependencies within standardized units known as containers. Containers simplify deployment across heterogeneous environments.

Orchestration: Orchestration tools, such as Kubernetes, oversee the deployment, scaling, and monitoring of containerized applications, ensuring judicious resource utilization.

Microservices: Microservices architecture dissects applications into smaller, autonomously deployable services. Teams can fabricate, assess, and deploy these services separately, enhancing adaptability.

Benefits of DevOps

When an organization embraces DevOps, it doesn't merely adopt a set of practices; it unlocks a treasure of benefits that can revolutionize its approach to software development and IT operations. Let's delve deeper into the wealth of advantages that DevOps bequeaths:

1. Faster Time to Market: In today's competitive landscape, speed is of the essence. DevOps expedites the software delivery process, enabling organizations to swiftly roll out new features and updates. This acceleration provides a distinct competitive edge, allowing businesses to respond promptly to market demands and stay ahead of the curve.

2. Improved Quality: DevOps places a premium on automation and continuous testing. This relentless pursuit of quality results in superior software products. By reducing manual intervention and ensuring thorough testing, DevOps minimizes the likelihood of glitches in production. This improves consumer happiness and trust in turn.

3. Increased Efficiency: The automation-centric nature of DevOps eliminates the need for laborious manual tasks. This not only saves time but also amplifies operational efficiency. Resources that were once tied up in repetitive chores can now be redeployed for more strategic and value-added activities.

4. Enhanced Collaboration: Collaboration is at the heart of DevOps. By breaking down the traditional silos that often exist between development and operations teams, DevOps fosters a culture of teamwork. This collaborative spirit leads to innovation, problem-solving, and a shared sense of accountability. When teams work together seamlessly, extraordinary results are achieved.

5. Increased Resistance: The ability to identify and address issues promptly is a hallmark of DevOps. Real-time monitoring and feedback loops provide an early warning system for potential problems. This proactive approach not only prevents issues from escalating but also augments system resilience. Organizations become better equipped to weather unexpected challenges.

6. Scalability: As businesses grow, so do their infrastructure and application needs. DevOps practices are inherently scalable. Whether it's expanding server capacity or deploying additional services, DevOps enables organizations to scale up or down as required. This adaptability ensures that resources are allocated optimally, regardless of the scale of operations.

7. Cost Savings: Automation and effective resource management are key drivers of long-term cost reductions. By minimizing manual intervention, organizations can save on labor costs. Moreover, DevOps practices promote efficient use of resources, resulting in reduced operational expenses. These cost savings can be channeled into further innovation and growth.

In summation, DevOps transcends being a fleeting trend; it constitutes a transformative approach to software development and IT operations. It champions collaboration, automation, and incessant improvement, capacitating organizations to respond to market vicissitudes and customer requisites with nimbleness and efficiency.

Whether you aspire to elevate your skills, embark on a novel career trajectory, or remain at the vanguard in your current role, ACTE Technologies is your unwavering ally on the expedition of perpetual learning and career advancement. Enroll today and unlock your potential in the dynamic realm of technology. Your journey towards success commences here. Embracing DevOps practices has the potential to usher in software development processes that are swifter, more reliable, and of higher quality. Join the DevOps revolution today!

#devops #tech #devops training

[prince2agileprojectmanagement]

Certification Program for DevOps: A Comprehensive Guide to Unlocking the Future of IT

Introduction:

In today's fast-paced digital landscape, businesses are constantly striving to innovate, scale, and deliver products and services faster than ever before. This need for agility and efficiency has given rise to DevOps, a cultural and professional movement that emphasizes collaboration, automation, and integration between software development and IT operations teams. As organizations embrace DevOps principles, the demand for skilled professionals who can navigate this paradigm shift continues to grow. This is where DevOps certification training courses come into play.

 What is the DevOps course?

DevOps course is designed to equip professionals with the knowledge, skills, and tools needed to implement DevOps practices within their organizations successfully. From understanding the fundamental principles of DevOps to mastering advanced techniques in automation and continuous integration/continuous deployment (CI/CD), these courses cover a wide range of topics essential for aspiring DevOps engineers.

 DevOps Certification: Why It Matters

In the competitive job market, DevOps certification can give professionals a competitive edge by validating their expertise and commitment to mastering DevOps principles. Employers often look for candidates with recognized certifications, such as:

DevOps Foundation Certification: This certification validates a candidate's understanding of core DevOps principles, terminology, and practices.

AWS Certified DevOps Engineer: Offered by Amazon Web Services (AWS), this certification demonstrates proficiency in implementing and managing DevOps practices on the AWS platform.

Docker Certified Associate: Docker is a popular containerization platform widely used in DevOps environments. This certification validates proficiency in Docker's core concepts and practices.

Certified Kubernetes Developer (CKA): Kubernetes is an open-source container orchestration platform. CKA certification demonstrates expertise in Kubernetes installation, configuration, and management.

Microsoft Certified: Azure DevOps Engineer Expert: This certification validates skills in designing and implementing DevOps practices on Microsoft Azure, including CI/CD pipelines, version control, and infrastructure as code (IaC).

 Benefits of DevOps Certification Training Course

 1. Enhanced Career Opportunities:

DevOps professionals are in high demand across industries, ranging from technology and finance to healthcare and retail. By obtaining DevOps certification, individuals can position themselves as sought-after candidates for roles such as DevOps engineer, automation architect, site reliability engineer (SRE), and more.

 2. Up-to-date Knowledge:

DevOps certification training courses are continuously updated to reflect the latest trends, tools, and best practices in the industry. By enrolling in a reputable course, professionals can stay ahead of the curve and ensure that their skills remain relevant in a rapidly evolving IT landscape.

 3. Hands-On Experience:

Many DevOps certification training programs offer hands-on labs, case studies, and real-world projects that allow participants to apply their learning in practical scenarios. This experiential learning approach not only reinforces theoretical concepts but also helps learners build confidence in their abilities.

 4. Networking Opportunities:

Joining a DevOps certification training course provides professionals with the opportunity to connect with peers, industry experts, and potential employers. Networking within the DevOps community can lead to valuable collaborations, mentorship opportunities, and job referrals.

 5. Increased Salary Potential:

According to industry reports, DevOps professionals command lucrative salaries compared to their counterparts in traditional IT roles. By investing in DevOps certification training, professionals can position themselves for higher-paying roles and greater earning potential over time.

 Choosing the Best DevOps Certification Course

With numerous DevOps certification training courses available both online and in-person, selecting the right one can be challenging. Here are some factors to consider when evaluating different options:

- Accreditation: Look for courses offered by reputable organizations or training providers that are accredited by recognized bodies in the industry.

- Curriculum: Review the course curriculum to ensure that it covers the topics and skills relevant to your career goals. Ideally, the course should include a mix of theoretical knowledge and practical, hands-on experience.

- Instructor Expertise: Check the qualifications and experience of the course instructors. They should have extensive practical experience in DevOps and be able to effectively communicate complex concepts to learners.

- Flexibility: Consider the flexibility of the course in terms of scheduling, delivery format (online, in-person, or hybrid), and access to course materials and resources.

- Reviews and Testimonials: Read reviews and testimonials from past participants to gauge the quality of the course content, instruction, and overall learning experience.

- Cost: While cost is an important factor, it should not be the sole determinant. Evaluate the value provided by the course in terms of the knowledge gained, career advancement opportunities, and return on investment (ROI).

 Conclusion:

In conclusion, DevOps certification training courses play a crucial role in preparing professionals for success in today's dynamic IT landscape. Whether you're looking to advance your career, enhance your skills, or stay competitive in the job market, investing in DevOps certification can open doors to exciting opportunities. By carefully selecting the right course and committing to continuous learning and improvement, you can embark on a rewarding journey toward becoming a certified DevOps expert.

#DevOps certification #DevOps Course #DevOps Training