Cache Design Lambda Scalability 
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.
Dynatrace
OCTOBER 7, 2021
Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Scalability. Finally, there’s scalability. The first benefit is simplicity. Data Store. AWS offers four serverless offerings for storage.
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The Morning Paper
FEBRUARY 6, 2020
.’ Stateless is fine until you need state, at which point the coarse-grained solutions offered by current platforms limit the kinds of application designs that work well. On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access.
All Things Distributed
JULY 14, 2015
Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. DynamoDB Streams simplifies and improves this design pattern with a distributed systems approach.
The Morning Paper
JUNE 23, 2019
Why are developers using RInK systems as part of their design? Generally to cache data (including non-persistent data that never sees a backing store), to share non-persistent data across application services (e.g. We argue that RInK stores should not be used when implementing scalable data center services. Oh, you mean a cache?
All Things Distributed
JUNE 21, 2018
As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. Purpose-built databases.
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. The design space. Query performance is measured from both warm and cold caches. Scalability. Query restrictions.
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