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Seamless AI-powered observability for multicloud serverless applications

Dynatrace

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Dynatrace news. recent blogs.

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What is Google Cloud Functions?

Dynatrace

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? GCF is part of the Google Cloud Platform. How Google Cloud Functions works.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. So what exactly does “serverless” mean, and how can your organization benefit from it?

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Dynatrace Perform 2022 delivers software intelligence as code, real-time attack blocking

Dynatrace

Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. Dynatrace has extended the platform’s deep and broad observability and advanced AIOps capabilities to all major serverless architectures. Dynatrace Advances Application Security with Real-Time Attack Detection and Blocking.

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Weighing a microservices approach means covering all architecture bases

Dynatrace

In fact, giants like Google and Microsoft once employed monolithic architectures almost exclusively. Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Serverless platforms.

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Aurora vs RDS: How to Choose the Right AWS Database Solution

Percona

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

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Platform Engineering Teams Done Right…

Adrian Cockcroft

If you are running serverless with AWS Lambda, you’ve also bypassed the need for a platform team to run it, the serverless platform takes care of those concerns. Mobile app platforms are much more standardized around iOS and Android, with Apple and Google providing the platform.