#Google Cloud Platform
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Mastering Network Connectivity: Google Cloud Platform's Robust Networking Solutions
Unlock seamless connectivity with GCP's networking prowess! 🌐 Discover global load balancing, VPC security, and more. #GCP #CloudNetworking #HybridCloud
In today’s digital era, there’s nothing more crucial than seamless and reliable network connectivity for businesses thriving in the cloud. And when it comes to meeting these needs, Google Cloud Platform (GCP) truly stands out. With its comprehensive suite of networking solutions, GCP is tailor-made to address the diverse requirements of modern enterprises. In this captivating technical blog,…
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#aws#cloud#Cloud Computing#Cloud Interconnect#Cloud Networking#Cloud Router#Cloud VPN#gcp#GCP Networking Solutions#google cloud platform#Hybrid cloud#load balancing#Network Intelligence Center#Networking#technology#Virtual Private Cloud#VPC
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Google Associate Cloud Engineer: A Beginner's Guide
Google Cloud Platform (GCP) is one of the leading cloud computing platforms in the world, and the Google Associate Cloud Engineer certification is a highly sought-after credential for those who want to build a career in cloud computing. This certification demonstrates an individual's proficiency in deploying applications, monitoring operations, and managing enterprise solutions in the Google Cloud.
To become a Google Associate Cloud Engineer, one must pass a single certification exam. The exam covers a broad range of topics, including the core GCP services, deploying applications, and managing resources. The certification is designed for individuals who have hands-on experience with GCP and are familiar with basic cloud computing concepts.
The benefits of obtaining a Google Associate Cloud Engineer certification are numerous. It validates an individual's skills and knowledge in cloud computing, and demonstrates their ability to use Google Cloud Platform to build, deploy, and manage applications. It also opens up new career opportunities and can lead to higher salaries.
To prepare for the Google Associate Cloud Engineer exam, there are numerous online resources available, including practice exams, tutorials, and training courses. Additionally, Google provides free, hands-on labs and tutorials to help individuals gain practical experience with GCP.
In conclusion, the Google Associate Cloud Engineer certification is a valuable asset for anyone looking to build a career in cloud computing. With the increasing demand for cloud computing professionals, this certification can help individuals stand out in the job market and achieve their career goals.
#Google Associate Cloud Engineer#certification#cloud computing#Google Cloud Platform#GCP#exam#deployment#monitoring#enterprise solutions#career opportunities#salary#online resources#practice exams#tutorials#training courses#hands-on labs#job market
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Pelican, your one-stop solution for streamlined data validation in large-scale data warehouse migrations. Our innovative data validation tool offers:
Automated Checks: Ensure data accuracy with pre-built rules and custom configurations, eliminating manual scripting.
Zero-Factor Validation: Minimize network strain and security risks by validating data without needing to move it.
Scalability for Massive Datasets: Handle petabytes of data efficiently, guaranteeing comprehensive validation without compromising speed.
Focus on modernization, not manual validation. Get Pelican and migrate with confidence!
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85/366
29 Maret 2024
Berawal dari coba coba. dan berlanjut sampai keterusan.
Kemarin, kepikiran aja. Ada GCP tapi mau buat apa?
Akhirnya, dahlah bikin server kecil kecilan sekalian buat pengalaman kalau pernah bikin server berbasis cloud (bukan on-premise yang di cloud-in).
Walhasil, punya ide, gimana kalau nyoba pake nextcloud untuk penyimpanan aja. kan lumayan bisa di buat nyadangin file sementara (walaupun kadang juga sementahun).
Setelah oprek yang sekitaran waktu istirahat siang sampai ashar. Barulah bisa launching aplikasinya. tapi dengan catatan aplikasi berbasis web yang di akses dengan IP yang not secure (karena ngga dilapisin ama SSL/TLS.
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Unlocking AI’s Potential with Vertex AI: A Comprehensive Guide
Vertex AI, Google Cloud’s comprehensive machine learning (ML) platform, is designed to accelerate the development and deployment of AI models. It stands out in the tech industry by offering an integrated toolset that allows data scientists and ML engineers to streamline the entire ML lifecycle, from data preparation to model training, deployment, and management. This platform is engineered to promote both efficiency and scalability, enabling users to rapidly prototype and iterate on ML models while managing them with ease across various scales.
One of the key features of Vertex AI is its ability to automate the training of machine learning models with AutoML. This capability allows even those with limited ML expertise to build high-quality models tailored to their business needs. Additionally, Vertex AI provides a unified user interface for all your ML models, whether they are custom-trained models using TensorFlow, PyTorch, and other ML frameworks, or models built with AutoML.
Vertex AI also emphasizes security and governance, offering tools that ensure your ML projects comply with industry standards and policies. Its integration with Google Cloud services enhances its appeal, providing seamless access to data analytics and storage solutions.
In essence, Vertex AI democratizes ML, making it more accessible and manageable for businesses of all sizes. Its blend of automation, scalability, and integration capabilities positions it as a pivotal tool in leveraging AI to solve complex business challenges and drive innovation.
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Google Cloud advances AI with Vertex AI Search, empowering companies to create advanced search tools using Generative AI. New Vertex AI capabilities cater to healthcare, allowing providers to search clinical info and review patient records.
#google cloud solutions#google cloud platform#google cloud services#cloud solutions#digital workplace#google workspace#google cloud premier partner
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#Hire the best Google Cloud Platform Developers#Google Cloud Platform Developers#Google Cloud Platform#GCP
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Cloud & Devops Services | Nitor Infotech
In today's fast-paced digital landscape, cloud technology has emerged as a transformative force that empowers organizations to innovate, scale and adapt like never before. To know more about Nitor Infotech's services click on - https://bitly.ws/Zyt3
#nitorinfotech#blog#nitor#software development#software engineering#digital transformation#cloud computing#cloud software#clouds#cloudcore#cloud storage#cloud storage services#cloud computing trends#google cloud console#google cloud platform#google cloud#ascendion#gcp cloud vision#pillars of cloud#cloud engineering services#aws cloud migration services#what is cloud data storage#cloud pillar
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Amazon Web Services, Microsoft Azure, Google Cloud Platform — the Indian Cloud Trinity
Rajneesh De, Consulting Editor, APAC News Network
Most Indian enterprises, from the large ones to those in the mid-market, have undergone some form of digital transformation especially post the pandemic. This digital transformation journey has primarily been led by the cloud driven approach. In fact most enterprises today have adopted a hybrid multi cloud strategy.
Nearly 88% Indian enterprises today acknowledge that cloud technology is a critical enabler for their digital transformation. Especially with the biggies like AWS, Microsoft Azure and Google dominating the market, the public cloud services sector in India has been growing at close to 30% in the last few years.
In the Infrastructure-as-a-service (IaaS), these three cloud provider biggies have dominated the show among enterprises. Selecting the right cloud computing platform from these three has been subjective for these enterprise CIOs. Normally the CIOs have depended on the following criteria for selecting their preferred cloud provider.
Find a reliable cloud computing platform. While all three of AWS, Microsoft Azure and Google are reliable names, CIOs need to emphasize on security and check feedbacks from enterprises similar in nature.
Evaluate stability. CIOs must check whether regular releases, continuous performance, dispersed platforms, and load balancing are available from their selected cloud provider.
Compare pricing. CIOs must compare the ratio between the cost of running an in-house server versus the available resources of an enterprise cloud
Look for standardized service. The CIOs must check if the cloud service provider offers cost-effective bundles of apps and the resources. Bundled services can save 40% over buying individual services such as IaaS, SaaS, and other digital products.
Evaluate flexibility. Lastly CIOs must check for a flexible and adaptable cloud computing platform that boosts growth and scalability.
Read More - https://apacnewsnetwork.com/2023/11/amazon-web-services-microsoft-azure-google-cloud-platform-the-indian-cloud-trinity/
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The Evolution of Google: From Past to Future - A Comprehensive Overview of Google's Services
Section 1: Introduction – The Google Story Unveiled
As we step into the realm of Google, we embark on a journey through time. This journey takes us from the past, where a humble search engine emerged, to the present, where it has become an integral part of our lives. We’ll also gaze into the future, where the tech giant is poised to reshape our world with its cutting-edge services.
Section 2:…
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#Gmail#google#Google Ads#Google Chrome#Google Cloud Platform#Google Docs#Google Drive#google maps#Google Play#Google Translate#YouTube
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Maximizing Network Performance: A Comprehensive Guide to GCP's Network Intelligence Center
Discover, monitor, and optimize your network with GCP's Network Intelligence Center! 🔍✨ #GoogleCloud #NetworkMonitoring #CloudOptimization
In today’s fast-paced digital world, a reliable and finely-tuned network infrastructure is absolutely vital for the triumph of any organization. As cloud environments grow more intricate, the task of overseeing and enhancing network performance can seem overwhelming. Yet fear not, for the Google Cloud Platform (GCP) presents an extraordinary solution: the Network Intelligence Center. Join us on…
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#azure#cloud#Cloud network management#Connectivity tests#Cybersecurity#Firewall insights#GCP Network Intelligence Center#google cloud platform#Internet intelligence#network monitoring#Network optimization#Network topology#Network troubleshooting#Networking#Packet mirroring#Performance dashboard#Reachability tests#Routing visibility#Security#VPN insights
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From Siloed Systems to Scalable Agility: A Financial Services Company's Journey Migrating Teradata and Hadoop to Google Cloud Platform
For many financial services companies, managing data sprawl across disparate systems like Teradata and Hadoop can be a significant hurdle. This was the case for one such company, facing challenges with:
Limited Scalability: Traditional on-premises infrastructure struggled to handle the ever-growing volume and complexity of financial data.
Data Silos: Siloed data across Teradata and Hadoop hindered a holistic view of customer information and market trends.
High Operational Costs: Maintaining and managing separate systems proved expensive and resource-intensive.
Seeking a Modernized Data Architecture:
Recognizing the need for a more agile and scalable solution, the company embarked on a strategic migration journey to Google Cloud Platform (GCP). This migration involved:
Teradata to GCP Migration: Leveraging GCP's data warehousing solutions, the company migrated its data from Teradata, consolidating it into a central and scalable platform.
Hadoop Migration to GCP: For its big data processing needs, the company migrated its Hadoop workloads to Databricks on GCP. Databricks, a cloud-native platform, offered superior scalability and integration with other GCP services.
Benefits of Moving to GCP:
Migrating to GCP yielded several key benefits:
Enhanced Scalability and Agility: GCP's cloud-based infrastructure provides the scalability and elasticity needed to handle fluctuating data volumes and processing demands.
Unified Data Platform: Consolidated data from Teradata and Hadoop within GCP enables a holistic view of customer information, market trends, and risk factors, empowering data-driven decision-making.
Reduced Operational Costs: By eliminating the need to maintain separate on-premises infrastructure, the company achieved significant cost savings.
Advanced Analytics Capabilities: GCP's suite of data analytics tools allows the company to extract deeper insights from their data, driving innovation and improving risk management strategies.
Lessons Learned: Planning and Partnership are Key
The success of this migration hinged on two crucial aspects:
Meticulous Planning: A thorough assessment of the existing data landscape, along with a well-defined migration strategy, ensured a smooth transition.
Partnership with a Cloud Migration Expert: Collaborating with a Google Cloud Partner provided the necessary expertise and resources to navigate the migration process efficiently.
Conclusion:
teradata to databricks migration and Hadoop to Databricks Migration provided financial services company achieved a more scalable, agile, and cost-effective data architecture. The consolidated data platform and access to advanced analytics empower them to make informed decisions, optimize operations, and gain a competitive edge in the ever-evolving financial landscape. Their story serves as a testament to the transformative power of cloud migration for the financial services industry.
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80/366
24 Maret 2024
Penasaran dengan fitur Import VM. Mayoritas VM yang running di controller kan dari virtualbox ya. Harus diformat begimana nih?
---
Namun sebelum itu, setelah ulik ulik dari level VM secara on-premise lalu pindah ke cloud. sampailah pada satu kesimpulan :
Kalau pendekatannya sama dengan on-premise kayak yah ini namanya cuma pindah tempat doank
Banyak fitur yang bisa diulik lagi. Ntar kalau ada waktu. Bisa ku update.
Sementara ini aku cuma bisa install apache2 trus kumasukkin lah github.page nya kesana, dan ubah address default apachenya. Dah.
Lalu ku stop dulu instancenya.
Sekian
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Certainly! Duet AI in Google Workspace is like a dynamic duo for productivity. It combines the power of Google's Workspace tools with advanced AI capabilities to open up a world of new possibilities for businesses.
Imagine having an intelligent assistant seamlessly integrated into your familiar Google Workspace apps. Duet AI can help you automate repetitive tasks, analyze data more efficiently, and uncover valuable insights. This not only saves time but also enhances the overall functionality of your workspace.
In a nutshell, Duet AI in Google Workspace is like having a tech-savvy sidekick that enhances your workflow, allowing you to discover new capabilities and reap the rewards of improved business processes.
#google cloud solutions#google cloud platform#google cloud services#digital workplace#google cloud#google workspace#google cloud partners#Youtube
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