Highly Scalable

AUGUST 20, 2013

The engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters. Thus, on a conceptual level, an efficient query engine in a distributed database can act as a stream processing system and vice versa, a stream processing system can act as a distributed database query engine. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

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. A real-time user experience analytics engine for live video, that looked at all users rather than a subsample.

Serverless 145

Serverless Lambda Best Practices Traffic 145

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

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

JUNE 21, 2018

We are increasingly seeing customers wanting to build Internet-scale applications that require diverse data models. Tinder is one example of a customer that is using the flexible schema model of DynamoDB to achieve developer efficiency. Purpose-built databases.

Database 167

Database AWS Games Latency 167

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. 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