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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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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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Revisiting “Serverless Architectures”

The Symphonia

I started writing “ Serverless Architectures ” in May 2016. Fast forward to two years later and the article has had more than half a million visits, regularly appears in the top five Google search results for “Serverless”, and helped launched Symphonia ?—?my Serverless is a highly dynamic area and two years is a lifetime in this world.

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AWS serverless services: Exploring your options

Dynatrace

For many companies, the journey to modern cloud applications starts with serverless. While these serverless services provide strong business benefits due to their flexible on-demand usage and pricing model, they also introduce new complexities for observability. Amazon Web Services (AWS), offers a wide range of serverless solutions.

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Installing WordPress 5 on ZEIT Now with MySQL Hosting

Scalegrid

Our friends over at ZEIT’s Now global serverless deployment platform whipped up a great tutorial for WordPress5-on-Now using cheap MySQL hosting instances from ScaleGrid. Powered by `php-fpm` (soon as a Lambda layer directly). ? Want to deploy WordPress 5.0 on the Now platform by ZEIT ? pic.twitter.com/WwyNBg4q30.

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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

Which I’m quite happy to see as my most recent data pipeline is based around Lambda, S3, and Athena, and it’s been working great for my use case. For query executors that can be frequently started and stopped the authors explore performance with cold and warm caches (where applicable), and also the horizontal and vertical scaling performance.

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Continuous Integration / Continuous Delivery on AWS

The Symphonia

we help people create a Continuous Deployment pipeline before they start getting into the nitty-gritty of Serverless Architecture. It’s all in AWS, which means that’s its performance is decent, you can integrate all the other AWS services (IAM, customization with Step Functions and Lambda, use CloudTrail events for monitoring, etc.)

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