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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

However, serverless applications have unique characteristics that make observability more difficult than in traditional server-based applications. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing.

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Driving your FinOps strategy with observability best practices

Dynatrace

For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services. Are there rogue servers running in the environment where ITOps, CloudOps, or another team can’t assign or identify who’s financially responsible for it? Suboptimal architecture design.

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What is container as a service? How CaaS compares to PaaS, IaaS, and FaaS

Dynatrace

Because container as a service doesn’t rely on a single code language or code stack, it’s platform agnostic. The emergence of Docker and other container services enabled companies to transport code quickly and easily. IaaS provides direct access to compute resources such as servers, storage, and networks.

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What is function as a service? App development gets FaaS and furious

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Function as a service is a cloud computing model that runs code in small modular pieces, or microservices. Cloud providers then manage physical hardware, virtual machines, and web server software management. In a FaaS model, developers can write code functions on demand, without being hindered by dependencies on existing applications.

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What is serverless computing? Driving efficiency without sacrificing observability

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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. Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. Pay Per Use.

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Weighing a microservices approach means covering all architecture bases

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In fact, giants like Google and Microsoft once employed monolithic architectures almost exclusively. One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build. With monolithic architecture, components all coexist in a single deployment.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices. Just as people use Xerox as shorthand for paper copies and say “Google” instead of internet search, Docker has become synonymous with containers. What is Docker?