Lambda Latency Scalability Storage 
All Things Distributed
NOVEMBER 13, 2014
Capital-intensive storage solutions became as simple as PUTting and GETting objects in Amazon S3. Our answer is a new compute service called AWS Lambda. AWS Lambda makes building and delivering applications much easier by giving you a simple interface to upload your Node.js
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. For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. The design space. Key findings. Query restrictions.
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Highly Scalable
AUGUST 20, 2013
This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. Marz, “Big Data Lambda Architecture”.
The Morning Paper
FEBRUARY 6, 2020
The key ingredients of Cloudburst are a highly-scalable key-value store for persistent state ( Anna ), local caches co-located with function execution environments, and cache-consistency protocols to preserve developer sanity while data is moved in and out of those caches. Updates should be allowed at any function invocation site.
All Things Distributed
APRIL 9, 2015
Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Amazon Lambda. Details on the AWS Blog. The Amazon Elastic File System.
All Things Distributed
OCTOBER 12, 2016
Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency. This allows for faster failover times while minimizing latency. Amazon’s enhancements address many day-to-day challenges with running Redis.
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. The opposite is true.
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