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Common use-cases for AWS Lambda in the enterprise (and how to get observability for them)

Dynatrace

AWS Lambda is enormously popular amongst our customers and while it was once perceived as just a new toy for startups who wanted to be at the cutting edge of technology, we’ve seen that many enterprise customers are now adding Lambda functions to their stacks. A quick primer on Lambda functions. Dynatrace news. Auto scaling.

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Common use-cases for AWS Lambda in the enterprise (and how to get observability for them)

Dynatrace

AWS Lambda is enormously popular amongst our customers and while it was once perceived as just a new toy for startups who wanted to be at the cutting edge of technology, we’ve seen that many enterprise customers are now adding Lambda functions to their stacks. A quick primer on Lambda functions. Dynatrace news. Auto scaling.

Lambda 179
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. 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.

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Dynatrace SaaS release notes version 1.231

Dynatrace

Sometimes the Python virtual machine crashes. Infrastructure Monitoring. Settings > Anomaly detection > Database services. Settings > Anomaly detection > Infrastructure. Infrastructure Monitoring. Infrastructure Monitoring. Extension logs display errors. Extension-specific advisory.

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What is Azure Functions?

Dynatrace

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Consider using virtual machines or specialized frameworks for these types of tasks.

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Weighing a microservices approach means covering all architecture bases

Dynatrace

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. Additionally, typical SOA models use larger relational databases. Each individual service could use a VM to host a specific feature.

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Platform Engineering Teams Done Right…

Adrian Cockcroft

The virtualization and networking platform could be datacenter based, with something like VMware, or cloud based using one of the cloud providers such as AWS EC2. Above that there’s a deployment platform such as Kubernetes or AWS Lambda. Netflix made many contributions to open source projects by it’s cloud platform team.