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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?

Lambda 221
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Hashnode Creates Scalable Feed Architecture on AWS with Step Functions, EventBridge and Redis

InfoQ

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

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AWS serverless services: Exploring your options

Dynatrace

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. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

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Revisiting “Serverless Architectures”

The Symphonia

I started writing “ Serverless Architectures ” in May 2016. I was a little restricted in my thinking the first time around and I’ve come to see FaaS as something not quite stateless, since caching state in a Lambda instance that might stick around for 5 hours is a perfectly reasonable idea. I rewrote the “ State ” section?—?I

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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

REDIS for caching. MaaSS for Cloud Architects: Deployment and Architecture Validations. Validate correct architecture, configuration and deployment by looking at Service Flow! In the event that there’s a problem, Dynatrace will automatically highlight the hotspot and root cause in the different Dynatrace views.

AWS 127
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Fast key-value stores: an idea whose time has come and gone

The Morning Paper

Generally to cache data (including non-persistent data that never sees a backing store), to share non-persistent data across application services (e.g. ” Even re-reading that today, the letter of the law there is surprisingly strict to me: you can use the local memory space or filesystem as a brief single transaction cache, but no more.

Cache 79
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An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

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! Smaller microservices demonstrated much better instruction-cache locality than their monolithic counterparts. Application and programming framework implications.