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Improving our video encodes for legacy devices

The Netflix TechBlog

we announced our intention to stream video over 13 years ago, in January 2007?—?and and thus fall back to less efficient encode families. Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families. Further tuning of pre-defined encoding parameters.

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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

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Should You Use ClickHouse as a Main Operational Database?

Percona

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. created_utc?? ?

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The service also provides options that allow fine-tuning latency, throughput, etc., Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. depending on the use case.

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. In 2007, businesses had started to become more distributed; customers were using multiple devices to access their files and there was a need to make this experience as smooth as possible.

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The Netflix Cosmos Platform

The Netflix TechBlog

The first generation of this system went live with the streaming launch in 2007. Our goals are to make Cosmos easier to use, more resilient, faster and more efficient. Stay tuned to learn more details of how Cosmos works and how we use it. The second generation added scale but was extremely difficult to operate.