Dynatrace

DECEMBER 22, 2021

For example, in 2005, Dynatrace introduced a distributed tracing tool that allowed developers to implement local tracing and debugging. A database could start executing a storage management process that consumes database server resources. The case for an integrated observability platform.

Artificial Intelligence 190

Artificial Intelligence Metrics Architecture DevOps 190

All Things Distributed

AUGUST 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. If you have a largely static site you can rely on the enormous power of S3 to make serving your content highly scalable and storing it extremely durable. I have regenerated all pages since 2005, the pages before that can be found in the "/historical" section.

Servers 112

Servers Social Media AWS Website 112

KeyCDN

MARCH 28, 2019

They are responsible for the implementation of database systems, ensuring proper communication between various web services, generating backend functionality, and more. Laravel also offers its own database migration system and has a robust ecosystem. Backend developers work with a wide range of libraries, APIs, web services, etc.

Programming 77

Programming Website Scalability Design 77

Adrian Cockcroft

JANUARY 31, 2023

Their database model later become known as NoSQL, although it was implemented on top of Oracle, each database held one table and indexes, and there were many sharded Oracle databases for each data set so it could be scaled horizontally as well. The whole company was a few hundred people.

Google 52

Google Transportation Programming Innovation 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

SQL Server According to Bob

JUNE 3, 2016

My development collogues and I are starting a regular blog series, outlining the vast range of scalability improvements, allowing SQL Server 2016 to run across a wide array of hardware configurations, faster and better than previous releases of SQL Server. SQL 2016 – It Just Runs Faster: In-Memory Optimized Database Worker Pool.

Hardware 40

Hardware Software Engineering Transportation Scalability 40