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

Dynatrace

This means that there is no need to provision or manage servers (or even containers). So, a well architected Lambda architecture can save a lot of costs. Also, “serverless” means more than just Lambda functions. These served as our benchmark when creating our Lambda monitoring extension. Auto scaling. Failure retries.

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

Dynatrace

This means that there is no need to provision or manage servers (or even containers). So, a well-architected Lambda architecture can save a lot of costs. Also, “serverless” means more than just Lambda functions. These served as our benchmark when creating our Lambda monitoring extension. Auto scaling. Failure retries.

Lambda 179
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What is infrastructure monitoring and why is it mission-critical in the new normal?

Dynatrace

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

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A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Dynatrace

Since its introduction by AWS in 2014, AWS Lambda has revolutionized the compute space and boosted the entire serverless movement. Gartner predicts that by 2025, 50% of all global enterprises will have deployed serverless function platforms as a service (fPaaS), up from only 20% today. Dynatrace news. What’s next.

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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! ASPLOS’19.

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

Percona

Multi-Availability Zone (AZ) Deployment Aurora’s Multi-Availability Zone (AZ) deployment offers remarkably high availability and fault tolerance by automatically replicating data across multiple availability zones using its distributed storage architecture to eliminate single points of failure. It’s Aurora Serverless.

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