Database Lambda Storage Systems 
The Netflix TechBlog
JULY 30, 2019
The Netflix Media Database (NMDB) is one such example. External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore. This was another great addition that stemmed from our collaboration with GitHub.
Dynatrace
SEPTEMBER 30, 2021
AWS Certified SysOps Administrator – Associate: Do you already deploy, manage, and operate AWS system resources and want to learn how to perform those duties even more effectively? Then this one’s for you. Machine learning.
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The Morning Paper
AUGUST 29, 2019
We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. As it is infeasible to test every OLAP system runnable on AWS, we chose widely-used systems that represented a variety of architectures and cost models. The design space. Key findings.
Dynatrace
SEPTEMBER 17, 2019
PostgreSQL & Elastic for data storage. With the existing notification integrations for tools such as Slack, xMatters, ServiceNow, Lambda, JIRA, you can also pro-actively notify people in case there’s a problem: Dynatrace auto detected a problem with 3 kube proxies. NGINX as an API Gateway. REDIS for caching.
Dynatrace
OCTOBER 7, 2021
This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.
The Netflix TechBlog
MAY 21, 2019
Solution We built a system called Lerner that consists of a set of microservices and a python library that allows scalable agent training and inference for test case scheduling. To maintain the quality of Lerner APIs, we are using the server-less paradigm for Lerner’s own integration testing by utilizing AWS Lambda.
Highly Scalable
AUGUST 20, 2013
In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apache Spark, and Apache Tez appeared and joined the army of Big Data and NoSQL systems. The system should deliver performance of tens of thousands messages per second even on clusters of minimal size.
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