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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. What is Lambda? What is Lambda SnapStart?

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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.

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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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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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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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Cloudburst: stateful functions-as-a-service

The Morning Paper

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

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How to Avoid Vendor Lock In

IO River

‍Think of a situation where you're asked to build a service in AWS that distributes static content to your users. Your first option is to use its native CDN - Amazon CloudFront, as it seamlessly integrates with all of your other AWS Services that you're using to build your service.‍For What is vendor lock-in?‍Think

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