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Seamless AI-powered observability for multicloud serverless applications

Dynatrace

In addition to existing support for AWS Lambda , this support now covers Microsoft Azure Functions and Google Cloud Functions as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers. 3 End-to-end distributed trace including Azure Functions. New to Dynatrace? trial page

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Transform log data into actionable metrics and have Davis AI do the work for you

Dynatrace

We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. After a function is executed, Lambda logs both the actual duration of the function and the billed duration of the function. Duration: 163.41

Metrics 220
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Pay Per Use.

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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. Although GCF adds needed flexibility to serverless application development, it can also pose observability challenges for DevOps teams.

Google 227
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Weighing a microservices approach means covering all architecture bases

Dynatrace

A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. Serverless platforms. Service mesh.

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Optimizing CDN Management Using Terraform

IO River

It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion. This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A So, What Exactly is Terraform?‍Terraform

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Optimizing CDN Management Using Terraform

IO River

It enables DevOps teams to manage, configure, and automate infrastructure in a streamlined fashion. This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A Terraform is a revolution in the way we handle infrastructure.