Cache Lambda Performance Scalability 
Dynatrace
NOVEMBER 28, 2022
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?
InfoQ
MARCH 15, 2024
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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Dynatrace
OCTOBER 7, 2021
Scalability. Finally, there’s scalability. Lambda functions can be written in the language of your choice, and the service also supports container tools. Amazon EventBridge: EventBridge to bridges the data gap between your applications and other services, such as Lambda or specific SaaS apps. Data Store.
The Morning Paper
FEBRUARY 6, 2020
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).
Dynatrace
APRIL 8, 2020
— Excerpt from How Garbage Collection works in the Dynatrace Performance eBook) . However, garbage collection is one of the main sources of performance and scalability issues in any modern Java application. Somewhere within the lambda call, the code allocated about 80 GB and 1.27 So what’s going on here?
The Morning Paper
JUNE 23, 2019
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.
The Morning Paper
AUGUST 29, 2019
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. InS does now offer an NVMe variant too, and the authors perform limited testing on that as well. Query performance. Query performance is measured from both warm and cold caches.
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