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Implementing AWS well-architected pillars with automated workflows

Dynatrace

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. But this workflow can also help you implement your applications according to each of the AWS Well-Architected pillars.  Beyond efficiency, validating performance thresholds is also crucial for revenues.

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AWS serverless services: Exploring your options

Dynatrace

Amazon Web Services (AWS), offers a wide range of serverless solutions. To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. AWS serverless offerings. Common use cases for AWS serverless services.

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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Dynatrace is proud to be an AWS launch partner in support of Amazon Lambda SnapStart. For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. Users can take advantage of the platform features immediately.

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Dynatrace Support for AWS Lambda Functions Powered by x86 and AWS Graviton2

Dynatrace

Dynatrace is proud to partner with AWS to support AWS Lambda functions powered by x86-based processors and Graviton2 Arm-based processors announced earlier this year. According to the official AWS announcement, Graviton2-based Lambda functions offer up to 34% better price-performance improvement. Dynatrace Data explorer.

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Hashnode Creates Scalable Feed Architecture on AWS with Step Functions, EventBridge and Redis

InfoQ

The company used serverless services on AWS, including Lambda, Step Functions, EventBridge, and Redis Cache. Hashnode created a scalable event-driven architecture (EDA) for composing feed data for thousands of users. The solution leverages Step Functions' distributed maps feature that enables high-concurrency processing.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Compute: Titus Whereas open-source users of Metaflow rely on AWS Batch or Kubernetes as the compute backend , we rely on our centralized compute-platform, Titus. We have talked about the importance of a production-grade workflow orchestrator in the context of Metaflow when we released support for AWS Step Functions years ago.

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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

REDIS for caching. AWS EKS for Integration and Production. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). 4 AWS EFS monitoring. Their technology stack looks like this: Spring Boot-based Microservices.

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