#googlecloud | Explore Tumblr Posts and Blogs

discountcoupon548 · 7 months

Text

Google Cloud Professional Cloud Architect Certification. Become a GCP Cloud Architect, Latest GCP Exam and Case Studies.

Google Cloud Platform is one of the fastest-growing cloud service platforms offered today that lets you run your applications and data workflows at a 'Google-sized' scale.

Google Cloud Certified Professional Cloud Architect certification is one of the most highly desired IT certifications out today. It is also one of the most challenging exams offered by any cloud vendor today. Passing this exam will take many hours of study, hands-on experience, and an understanding of a very wide range of GCP topics.

Luckily, we're here to help you out! This course is designed to be your best single resource to prepare for and pass the exam to become a certified Google Cloud Architect.

Why should do a Google Cloud Certification?

Here are few results from Google's 2020 Survey:

89% of Google Cloud certified individuals are more confident about their cloud skills

GCP Cloud Architect was the highest paying certification of 2020 (2) and 2019 (3)

More than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at work

Why should you aim for Google Cloud - GCP Cloud Architect Certification?

Google Cloud Professional Cloud Architect certification helps you gain an understanding of cloud architecture and Google Cloud Platform.

As a Cloud Architect, you will learn to design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.

The Google Cloud Certified - Professional Cloud Architect exam assesses your ability to:

Design and architect a GCP solution architecture

Manage and provision the GCP solution infrastructure

Design for security and compliance

Analyze and optimize technical and business processes

Manage implementations of Google Cloud architecture

Ensure solution and operations reliability

Are you ready to get started on this amazing journey to becoming a Google Cloud Architect?

So let's get started!

Who this course is for:

You want to start your Cloud Journey with Google Cloud Platform

You want to become a Google Cloud Certified Professional Cloud Architect

5 notes · View notes

inextures · 5 months

Text

Interactive and Conversational Search with Google Cloud and Elasticsearch

These days, where we have such a lot of online information, it’s truly essential to find what you really want rapidly and precisely. That is the very thing that this blog post is about. We will discuss a better approach for looking and searching online, utilizing something many refer to as interactive and conversational search.

This method makes searching more like having a chat, and it uses some cool tools from Google Cloud and Elasticsearch. We’ll take a gander at how these better approaches for looking are unique in relation to the old ones, and how Google Cloud’s most recent tech improves looking through even. We’re likewise going to look at Elasticsearch, which is a search engine web index, and perceive how it cooperates with Google Cloud to make your searches fast and simple.

What is Interactive and Conversational Search?

A flow method for looking for information that goes beyond the usual practice of inputting keywords into a search engine is interactive and conversational search. All things being equal, it empowers clients to communicate with the search system in a more normal and conversational manner, using text or voice.

This technology utilizes progress in artificial intelligence, especially in natural language processing and machine learning, to comprehend, interpret, and answer client inquiries in a way like that of a human. The objective is to further develop the search experience by making it more automatic, productive, and easy to understand.

Users can get clarification on pressing issues or make demands in natural language, and the system is intended to comprehend the context and intent behind these searches, resulting in more accurate and relevant replies.

This technology is particularly helpful in applications requiring fast and exact information retrieval, such as customer service bots, personal digital assistants, and sophisticated data analysis tools.

Google Cloud – Powering Advanced Search Capabilities

What is Google Cloud?

Google Cloud is a Google cloud computing service that provides a variety of server and computation choices for web applications. It offers computing, storage, and Application Development Services that are provided on Google hardware, allowing developers and organizations to develop, test, and roll out applications on Google’s highly scalable and dependable infrastructure.

Let’s discuss various aspects of Google Cloud

The AI and Machine Learning Edge of Google Cloud

At its core, Google Cloud uses the force of power of artificial intelligence (AI) and machine learning (ML) to offer extraordinary abilities in information handling and analytics. These technologies are significant in understanding and interpreting the vast amount of data generated day to day. Google Cloud’s sAI and ML services are intended to be available and adaptable, making them reasonable for organizations, all things considered.

The strength of Google Cloud lies in its complex calculations and neural networks, which are continually learning and evolving. This consistent improvement considers more precise expectations and insights, essential for making a proficient and intelligent search experience.

Enhancing Search Functionalities with Google Cloud

Google Cloud significantly enhances search functionalities in several ways, most notably through natural language processing (NLP). NLP is a branch of AI that focuses on the interaction between computers and human language. It enables machines to understand, interpret, and respond to human language in a useful and meaningful way.

One of the key applications of NLP in search is understanding the context and intent behind user queries. Traditional search engines might struggle with complex or conversational queries, but with Google Cloud’s NLP capabilities, search engines can interpret these queries more effectively. This means users can ask questions in natural, conversational language and receive more accurate and relevant results.

For example, if a user searches for “best strategies for online marketing in 2023,” Google Cloud’s NLP tools can analyze the query to understand the specific intent – in this case, looking for recent and effective online marketing strategies. The search engine can then prioritize content that is not only relevant to online marketing but also current and strategy-focused.

Real-World Applications and Future Potential

The applications of Google Cloud’s search capabilities are vast and varied. From powering sophisticated recommendation engines in e-commerce platforms to enabling efficient document search in large corporate databases, the potential is limitless. The real power lies in its adaptability and how businesses can leverage these tools to meet their specific needs.

As we look to the future, the integration of AI and ML in search is only set to deepen. With advancements in AI and machine learning, particularly in areas like deep learning and predictive analytics, Google Cloud is well-positioned to lead this charge. The potential for creating even more personalized, intuitive, and intelligent search experiences is immense, paving the way for a new era in digital information access and management.

Elasticsearch – The Backbone of Search Engines

Elasticsearch stands out as a pivotal technology. Originally released in 2010, it has rapidly grown to become a key player in the search engine landscape, renowned for its speed, scalability, and robust set of features.

What is Elasticsearch?

Elasticsearch is an open-source, distributed search and analytics engine, designed for horizontal scalability, reliability, and easy management. It is built on top of Apache Lucene, a high-performance, full-text search engine library. This foundation enables Elasticsearch to not only perform complex searches but also to handle large volumes of data in real time.

Also Read: Explore Elasticsearch and Why It’s Worth Using?

Core Features of Elasticsearch

Full-Text Search: At its core, Elasticsearch excels in full-text search. It breaks down texts into individual terms or phrases and allows for complex query types including fuzzy matching, wildcard searches, and synonym handling. This makes it extremely powerful for searching through large volumes of text-heavy data.

Scalability: One of the most amazing elements of Elasticsearch is its capacity to scale. It can deal with petabytes of structured and unstructured information, and its appropriate nature implies that it can develop with your necessities. Whether you’re a little startup or a huge endeavor, Elasticsearch adjusts to your data requirements without compromising on performance.

Real-Time Data and Analytics: Elasticsearch works progressively. As soon as a document is indexed, it’s searchable. This feature is critical for applications that require immediate insights from their data, like monitoring tools, financial analysis, and e-commerce platforms.

Distributed Architecture: Its distributed architecture ensures that your data is always available and accessible. Elasticsearch automatically replicates data to ensure resilience and high availability, meaning that even in the case of hardware failure, your search system remains operational.

Powerful API and Ecosystem: Elasticsearch comes with a rich set of APIs that allow for seamless integration with numerous languages such as Java, Python, PHP, JavaScript, and more. The Elastic Stack, which includes Kibana for data visualization and Logstash for data processing, complements Elasticsearch to provide a comprehensive search and data analysis solution.

Applications of Elasticsearch

Elasticsearch is used across various industries for different purposes:

E-commerce: For product searches and personalized recommendations.

Logging and Monitoring: For analyzing and visualizing logs in real-time.

Security Information and Event Management (SIEM): For threat hunting and security analytics.

Search Applications: As the underlying engine for custom search applications across websites and enterprise systems.

Integrating Google Cloud with Elasticsearch

Integrating Google Cloud with Elasticsearch represents a significant advancement in search and data analysis. This integration combines Google Cloud’s cutting-edge artificial intelligence and machine learning capabilities with Elasticsearch’s robust, scalable search engine framework.

The result is a powerful synergy that enhances search functionalities, enabling more intuitive, accurate, and real-time responses to complex queries. Businesses can leverage this integration to analyze large datasets, gain actionable insights, and provide users with an unmatched search experience.

Whether it’s processing natural language queries, delivering personalized search results, or offering predictive analytics, the combination of Google Cloud and Elasticsearch paves the way for innovative and efficient data-driven solutions.

Use Cases and Applications

The integration of Google Cloud and Elasticsearch significantly enhances search capabilities across various sectors. In e-commerce, it improves product discovery through natural language queries, enhancing both user experience and sales.

Customer service benefits from AI-powered conversational bots that can handle complex inquiries efficiently. In healthcare, it streamlines access to patient records and medical information, aiding in faster decision-making.

Additionally, for data analytics, this combination simplifies extracting insights from large datasets, making the process more intuitive and efficient. This synergy of Google Cloud’s AI and Elasticsearch’s search functionality marks a leap in creating more user-friendly, intelligent search experiences across diverse industries.

Conclusion

The integration of Google Cloud and Elasticsearch marks a transformative step in search technology. More than a technical feat, it’s a portal to a future where search engines evolve into intelligent partners, adept in processing natural language and delivering precise, efficient results.

This synergy heralds a new wave of innovation across sectors, making our interactions with the digital world more intuitive, responsive, and centered around user needs. As we advance, this blend of Google Cloud’s AI and Elasticsearch’s search prowess promises to redefine not just how we search, but also how we experience the digital landscape. The future of search is conversational, intelligent, and here to revolutionize our digital interactions.

Originally published by: Interactive and Conversational Search with Google Cloud and Elasticsearch

#InteractiveSearch #ConversationalSearch #GoogleCloud #Elasticsearch #IntelligentSearchSolutions

2 notes · View notes

economizecloud · 1 year

Text

An Introduction to GCP Pricing: Understanding the Basics

Google Cloud Platform (GCP) is one of the leading cloud computing platforms in the world, offering a wide range of services such as compute, storage, networking, and security, among others. With Economize, you can easily calculate GCP pricing for your business to efficiently manage expenses. Contact us now!

#GCP Pricing #Google Cloud Platform pricing #gcp #googlecloud #google cloud services #google #cloud services #cloud services online

2 notes · View notes

qualitythought · 1 year

Text

Explore Our Exclusive Instructor-Led-Live Online Training Program by Quality Thought (Transforming Dreams ! Redefining the Future !)

What is Google Cloud Key Management Service?

🌐Register for the Course: https://www.qualitythought.in/registernow 📲 Contact: 73373 44490 📩 Telegram Updates: https://t.me/QTTWorld 📧 Email: [email protected] Facebook: https://www.facebook.com/QTTWorld/ Instagram: https://www.instagram.com/qttechnology/ Twitter: https://twitter.com/QTTWorld Linkedin: https://in.linkedin.com/company/qttworld Youtube: https://www.youtube.com/qualitythought ℹ️ More info: https://www.qualitythought.in/

#google #googleapp #googlecloudkeyManagementservice #GoogleCloudPartner #GoogleCloud #googlecloudplatform #googleclouddata #googledevelopers #googleclouddataengineer #clouddataengineer #clouddatabase #cloudengineer #CloudDataManagement #qualitythoughttechnology #Qtt #qualitythought

3 notes · View notes

ihubtalent · 2 years

Photo

#Happystudent Your feedback is important to us! Thank you!

Explore Our Job Oriented Intensive Program by iHub Talent (Transforming Dreams ! Redefining the Future!)

Reach out to us: Contact no: +91 9515856058 Web: https://ihubtalent.com/

2 notes · View notes

govindhtech · 3 days

Text

Hyperdisk Storage Pools: A Guide to Block Storage Management

Hyperdisk Storage Pools, the first block storage solution from a hyperscale cloud provider to allow thin-provisioning, data reduction, and capacity pooling, will be generally available, as Google cloud revealed at Google Cloud Next 2024. By reducing your Total Cost of Ownership (TCO) by up to 30–50%, Hyperdisk Storage Pools enable you to streamline block storage management, modernise SAN-based operations, and increase efficiency. Storage Pools are available right now via the Google Cloud console. Let’s examine Hyperdisk Storage Pools’ operation and integration into your environment in this blog post.

Hyperdisk Storage Pools can store big amounts using Compute Engine. A Hyperdisk Storage Pool provides pre-purchased capacity, throughput, and IOPS to applications as needed. Create, manage, and use discs in pools with Hyperdisk Storage Pools for multiple workloads. Manage discs in bulk to save money and increase capacity and performance. By employing exactly the storage you need in Hyperdisk Storage Pools, you simplify capacity forecasts and decrease management by going from hundreds of discs to one pool.

Benefits of storage pools include:

Thin provisioning and data reduction enable Hyperdisk Storage Pools store data efficiently and achieve best-in-class TCO.

Hyperdisk Storage Pools take advantage of thin provisioning and data reduction to maximize resource utilization and minimize TCO.

Management overhead reduced Higher Flexibility – Hyperdisk Storage Pools allow workload owners to provide larger discs and only use what they need, eliminating capacity and performance forecasts and rescaling downtime.

Workloads use Hyperdisk volumes the same way with storage pools. No downtime or workload disruptions are needed.

Data on discs in a storage pool remain isolated as if they were not.

Use storage pools

Storage pools solve these issues:

Trouble predicting resource requirements when transitioning on-premise SAN workloads to Google Cloud.

Estimating application performance and capacity can take weeks and be error-prone, delaying a cloud migration or application rollout.

In Hyperdisk Storage Pools, you can overestimate the capacity needed to make discs and then only use the disc space you write data on.

Underuse of resources

Ensuring volume utilization is difficult and painful. Block storage is often underutilized because peak capacity and performance must be provided to avoid outages and slowdowns. However, few applications reach those levels.

Using Hyperdisk Storage Pools, you establish a pool to meet workload capacity needs. To keep utilization below 80%, the Hyperdisk Storage Pool automatically adds capacity.

Complex workload block storage management

Managing hundreds or thousands of disc volumes takes time and resources away from innovation.

When creating VM discs in a storage pool, you can choose a size bigger than expected workload. Workloads write to discs, reducing storage pool capacity. You only subtract the block storage you use from the storage pool capacity, not the disc creation amount. The disc size you choose limits capacity. Only change the disc size if this limit is reached.

If you build discs in the storage pool and your workload exceeds capacity planning over numerous discs, you can expand capacity. All discs in the storage pool can use the extra capacity.

Hyperdisk Storage Pools options

Features of storage pools include:

Allocating blocks as needed instead of all at once is capacity thin provisioning. This prevents low storage utilisation, where lots of disc space is assigned but not used.

Data reduction: Storage pools improve efficiency with various data reduction technologies. Data type strongly affects data reduction. Data compressed or encrypted before storage in a Hyperdisk Storage Pool won’t reduce.

To prevent failures caused by insufficient capacity, Hyperdisk Storage Pools automatically adds capacity when utilisation surpasses 80% of provisioned capacity.

Hyperdisk Storage Pool operation

A storage pool with the aggregate capacity and performance your workloads need is created, then discs are added. Connect the discs to your VMs. Create discs with a larger size than needed. This allows future growth without disc resizing.

Only the disc space your workloads require after data reduction is withdrawn from the Advanced capacity storage pool if the disc was generated there.

To increase disc capacity, increase the storage pool’s provided capacity. The discs’ disc space can then rise to the size you set when creating them. By generating discs in an Advanced capacity storage pool with a big initial size and allocating additional space, you consolidate disc storage administration and decrease costs.

Storage pool capacity is managed. Increase or decrease a storage pool’s provided capacity to change disc capacity. If the storage pool’s usage capacity or the aggregate capacity of all discs reaches 80% of its specified capacity, an advanced capacity storage pool automatically adds capacity. If auto-grow fails, you can manually add storage pool capacity up to 1 PiB.

If a storage pool achieves 100% utilization and has no free space, writes to all discs fail unless data or discs are deleted. Most commercial software treats full disc write errors like hardware failures.

To avoid out-of-space issues, actively maintain and monitor your storage pool. You should also know how your workload will react to a disc out of space issue in a storage pool.

Hyperdisk Storage Pool provisioning

You can configure a Hyperdisk Storage Pool with Standard or Advanced capacity.

Storage pools standard capacity

Standard capacity provisioning creates discs in the storage pool until all discs exceed the pool’s capacity. Standard capacity storage pool discs use capacity like non-storage pool discs.

Storage pools with high capacity

Advanced storage pools allow thin-provisioning and data reduction for capacity, allowing you to provision discs with more capacity than purchased. Advanced capacity storage pools use capacity based only on bytes written to discs after data reduction, so you can give end users and applications more capacity than you paid.

Advanced capacity lets you build discs in the storage pool that exceed its provisioned capacity by up to 500%. Data written determines storage pool capacity, not disc capacity. Advanced capacity storage pool discs use capacity differently from Standard capacity and non-storage pool discs.

You can fill discs in an Advanced capacity storage pool to their allotted size if the data written to all discs doesn’t exceed the capacity. The auto-grow feature adds capacity to the storage pool if utilization reaches 80% of provisioned capacity. If the storage pool is full, writes to all discs will fail until you delete data or discs to reduce its capacity. Since most software applications treat writes to full discs as hardware failures, it’s important to both:

Monitor your storage pool to minimise disc space shortages.

Know how your workload reacts if it does.

Remember that storage pools can’t see your file system. Deleted data is still in use until your OS marks it unused using DISCARD or TRIM. Most third-party OS images and all Google-provided OS images do this by default, but you should confirm this if you are not using one. Find out how to verify or configure this feature at Disable lazy initialization and enable DISCARD commands.

Hyperdisk Storage Pool Types

The discs you can generate in a Hyperdisk Storage Pool depend on its type.

Hyperdisk Throughput Storage Pool: You choose capacity and throughput while creating the storage pool. Created Hyperdisk Throughput discs in the storage pool use some allotted capacity and throughput.

Hyperdisk Balanced Storage Pool: You set capacity, throughput, and IOPS while constructing the storage pool. You employ some of the storage pool’s capacity and performance to make Hyperdisk Balanced discs with capacity and performance above baseline.

High-throughput storage pools

Storage Pools can manage Hyperdisk Throughput disc utilization.

Performance

Storage pooled discs perform the same as non-pooled discs.

Pricing

Capacity, throughput, and IOPS determine Hyperdisk Storage Pool pricing.

Standard capacity storage pools price capacity like discs. Standard capacity in a Hyperdisk Balanced Storage Pool costs the same as standalone capacity.

Thin provisioning and data reduction cost more, hence advanced capacity is more expensive. Despite this premium, thin-provisioning and data reduction can lower block storage costs by increasing efficiency and utilization.

Read more on govindhtech.com

#hyperdisk #blockstorage #cloudprovider #googlecloud #computer #data #technology #technews #news #govindhtech

0 notes

gravityroom · 3 days

Text

View this post on Instagram

A post shared by Google Cloud (@googlecloud)

instagram

🇺🇸

#Instagram #googlecloud #operate system #ok #ok🟢#ok🟡#ok🔴#glass #glass in a vacuum #𐘐0𐆂

0 notes

project-management-234 · 9 days

Text

https://proejctmanagement.blogspot.com/2024/04/acing-google-cloud-with-gcp.html

#GCP #GoogleCloud #CertificationTraining #CloudComputing #GCPcertification

0 notes

innovativeacademy-blog · 21 days

Text

It's yet another moment of pride for us at Innovative Academy. Another student from the Academy has been placed. Congratulations on your new journey!

https://innovativeacademy.in Call us: +91 9538836216

0 notes

futurride · 27 days

Link

0 notes

shivadmads · 30 days

Text

Naresh i Technologies 🔴 Classroom & Online Training at KPHB Branch 🔴 ✍️Enroll Now: https://bit.ly/4a03SJ0 👉Attend a Free Demo On AWS by Mr.Phani Krishna 📅Demo On: 27th March @ 07:30 AM (IST) 👉Hands-on-Learning - Lab sessions 👉Self-paced Learning Materials 👉Interview Preparation Skills

1 note · View note

qualitythought · 2 years

Link

DevOps automation platform vendor Cloudify is advancing its technology with the latest update to its namesake platform.

Read blog - https://bit.ly/3Tpg2mT

#DevOps #cloud #it #job #techjobs #developer #qualitythought #clouddata #automation #automationtesting #automationengineer #googlecloud #googlecloudplatform #cloudcomputing #cloudapplicationservices #cloudapplication

3 notes · View notes

govindhtech · 5 days

Text

Google Cloud Next 2024: 20 Significant Security Updates

Google Cloud Next 24 Cloud CISO Views: 20 significant Next ’24 security updates. Help outline some of the most significant security product and Google Cloud security enhancement announcements in this update.

Google Cloud Next conference Twenty significant security updates from Next ’24

Earlier this month, they had yearly Google Cloud Next conference. During the opening speech, they focused on how AI is revolutionizing business operations, their remarkable customer growth, and of course, google cloud fantastic lineup of 218 new product releases.

A summary of the keynote address is available here. They made big announcements about how Gemini powers Google Cloud and how Google Cloud powers the next wave of AI firms. additionally talked about how database management, workload-optimized infrastructure, and application development have all improved.

They also put a lot of effort into developing secure and security products, integrating Google into your security team wherever you operate and enhancing your defenses with artificial intelligence.

Organizations require security necessities that can “bring simplicity, streamline operations, and enhance efficiency and effectiveness,” which was stated at Google Cloud Next 2024.

Naturally, at Google Cloud, they want every organization to select us as their security supplier, but our offerings go much beyond what google cloud company can sell. They note that a multi cloud strategy is actually used by 92% of organizations that use at least one cloud provider. They approach is to concentrate on protecting Google Cloud users and their whole environment.

Google Cloud Next Agenda The list of top 20 security announcements from Google Cloud Next 2024 has been divided into sections that concentrate on Gemini for Security, which gives defenders even more ability to recognize and reduce danger.

The end of this month will see the general release of Gemini in Security Operations, a new assisted investigation tool that walks analysts through their workflow in Chronicle Enterprise and Chronicle Enterprise Plus. Now, you can ask Gemini directly in-line for the most recent threat intelligence from Mandiant, along with any signs of compromise discovered in their surroundings. With the public preview of Gemini in Threat Intelligence, you can use conversational search to access Mandiant’s cutting-edge threat intelligence. Additionally, Virus Total now automatically consumes OSINT reports, which Gemini summarizes on the platform; these reports are currently generally accessible. The Security Command Center’s Gemini feature, which summarizes attack routes and delivers summaries of critical and high-priority misconfiguration and vulnerability warnings, allows security teams to search for threats and other security events using natural language in preview. Gemini Cloud Assist also offers the following tools to help with security tasks: Confidential Computing Insights, which can recommend options for adding confidential computing protection to sensitive workloads based on your data and compute usage. Key Insights, which can assist during encryption key creation based on its understanding of your data, your encryption preferences, and your compliance needs and they Recommendations, which can offer clear, contextual recommendations to remove roles from over-permissioned users or service accounts. Google Cloud Next 2024 Here are some more security alerts:

Now that it’s widely accessible, the new Chrome Enterprise Premium combines the well-liked browser with enterprise policy controls, threat and data protection from Google, Zero Trust access controls, security analytics, and reporting. Now publicly accessible, Google Security Operations‘ applied threat intelligence automatically applies global threat visibility and tailors it to the specific environment of each customer. Mandiant Hunt, which is now in preview, is included in Security Command Centre Enterprise, which is now generally accessible. Presenting Isolator: Enabling multi-party, secure collaboration with medical records. In addition to providing Confidential Accelerators for AI workloads, Confidential Computing is a crucial solution for data security and secrecy. It also offers an extended hardware portfolio, help for data migrations, and new partnerships. Management of Identity and Access Just-in-time, time-bound, and approval-based access elevations are provided by Privileged Access Manager (PAM), which is currently accessible in preview. Management of Identity and Access IAM principals are subject to limitations thanks to a new identity-centered control called Principal Access Boundary (PAB), which is currently under preview. Palo Alto Network’s threat prevention is now included in the general availability of Cloud Next-Gen Firewall (NGFW) Enterprise. With a pay-as-you-go strategy that incorporates comprehensive network DDoS protection, web application firewall capabilities, network edge policies, adaptive protection, and threat intelligence, Cloud Armor Enterprise is now widely accessible. Now widely accessible, the Security Command Centre Enterprise risk engine has a thorough integration of Cloud SQL with Sensitive Data Protection. Customer encryption key creation and maintenance is made easier with Auto key’s key management feature, which is currently in preview. (CMEK). There are now more locations where bare metal HSM deployments are possible in PCI-compliant buildings. Regional Controls for Assured Workloads is now accessible in preview across 32 cloud regions across 14 nations. In preview, Audit Manager streamlines control verification for workloads and data on Google Cloud by providing evidence of compliance. Shadow API detection is now available in preview for Apogee API Management’s Advanced API Security. Google have extended the data residency assurances to 11 additional countries: Australia, Brazil, Finland, Hong Kong, India, Israel, Italy, Poland, Spain, Switzerland, and Taiwan for data stored at-rest for the Gemini, Imagen, and Embeddings APIs on Vertex AI.