Adrian Cockcroft

MAY 6, 2023

Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. They state in the blog that this was quick to build, which is the point.

Serverless 145

Serverless Lambda Best Practices Traffic 145

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 engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters. Efficient lineage tracking is not a trivial problem.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

JULY 14, 2015

In just three short years, Amazon DynamoDB has emerged as the backbone for many powerful Internet applications such as AdRoll , Druva , DeviceScape , and Battlecamp. An AWS Lambda function is a simpler option that you can use, as it only requires you to code the logic, set it, and forget it. Lambda and DynamoDB take care of the rest.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JUNE 21, 2018

We are increasingly seeing customers wanting to build Internet-scale applications that require diverse data models. Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. Purpose-built databases.

Database 167

Database AWS Games Latency 167

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. ElastiCache for Redis Multi-AZ capability is built to handle any failover case for Redis Cluster with robustness and efficiency.

Scalability 130

Scalability Analytics Cache AWS 130