AWS Data Engineering Database 
The Netflix TechBlog
MARCH 5, 2019
All these micro-services are currently operated in AWS cloud infrastructure. As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. Give us a holler if you are interested in a thought exchange.
The Netflix TechBlog
MARCH 25, 2019
We adopted the following mission statement to guide our investments: “Provide a complete and accurate data lineage system enabling decision-makers to win moments of truth.” Netflix’s diverse data landscape made it challenging to capture all the right data and conforming it to a common data model.
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O'Reilly
FEBRUARY 18, 2020
The results for data-related topics are both predictable and—there’s no other way to put it—confusing. Starting with data engineering, the backbone of all data work (the category includes titles covering data management, i.e., relational databases, Spark, Hadoop, SQL, NoSQL, etc.).
The Netflix TechBlog
DECEMBER 21, 2020
By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. Some of the optimizations are prerequisites for a high-performance data warehouse. Transparency to end-users.
All Things Distributed
OCTOBER 7, 2015
However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift.
The Netflix TechBlog
OCTOBER 18, 2022
As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits. increasing at > 100% a year, the need for a scalable data workflow orchestrator has become paramount for Netflix’s business needs. Meson was based on a single leader architecture with high availability.
InfoQ
DECEMBER 29, 2023
Zendesk reduced its data storage costs by over 80% by migrating from DynamoDB to a tiered storage solution using MySQL and S3. The company considered different storage technologies and decided to combine the relational database and the object store to strike a balance between querybility and scalability while keeping the costs down.
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