Dynatrace
JULY 24, 2023
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.
Percona
OCTOBER 3, 2023
The concept of HugePages in Linux has existed for many years, first introduced in 2007. However, the inclusion of the HugePages feature allows the Linux kernel to efficiently handle substantial memory pages alongside the standard 4KB size.
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Percona
DECEMBER 21, 2023
The efficiency of database queries in MySQL can make all the difference in the performance and responsiveness of applications. While sorting may seem simple, it’s important to understand how to do it efficiently and effectively to ensure your queries are optimized and use better indexing.
Percona
JANUARY 14, 2019
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?? ?
High Scalability
NOVEMBER 25, 2019
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.
The Netflix TechBlog
JANUARY 10, 2024
The Netflix video processing pipeline went live with the launch of our streaming service in 2007. Reloaded was well-architected, providing good stability, scalability, and a reasonable level of flexibility. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process.
The Netflix TechBlog
FEBRUARY 13, 2023
We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. As the catalog grew and users adopted streaming, so did the opportunities for creating and improving our recommendations.
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