Percona

DECEMBER 5, 2023

Inspired by David’s insights, I embarked on a journey to explore logical replication from a different perspective – within the realm of on-premises server databases. Also, it is a helpful method for version upgrades since the target database can run on a different (minor or major) PostgreSQL version. to PostgreSQL v15.4.

Database 80

Database Traffic C++ Servers 80

Percona

AUGUST 8, 2023

Or worse yet, sometimes I get questions about regaining normal operations after a traffic increase caused performance destabilization. But we can discuss common bottlenecks, how to assess them, and have a better understanding as to why proactive monitoring is so important when it comes to responding to traffic growth.

Traffic 92

Traffic Cache Monitoring Database 92

The Morning Paper

NOVEMBER 14, 2019

Taiji: managing global user traffic for large-scale internet services at the edge Xu et al., It’s another networking paper to close out the week (and our coverage of SOSP’19), but whereas Snap looked at traffic routing within the datacenter, Taiji is concerned with routing traffic from the edge to a datacenter. SOSP’19.

Traffic 42

Traffic Internet Internet Latency 42

Dynatrace

MAY 28, 2020

While Google’s SRE Handbook mostly focuses on the production use case for SLIs/SLOs, Keptn is “Shifting-Left” this approach and using SLIs/SLOs to enforce Quality Gates as part of your progressive delivery process. This will enable deep monitoring of those Java,NET, Node, processes as well as your web servers.

Engineering 189

Engineering Performance Metrics Best Practices 189

SQL Performance

JUNE 10, 2020

This month and the next I’m going to cover the physical processing aspects of derived tables. In my coverage of the physical treatment of named table expressions in the series I focus on the treatment in Microsoft SQL Server and Azure SQL Database. The physical treatment in other database platforms can be quite different.

C++ 109

C++ Database Servers Code 109

SQL Performance

JUNE 10, 2020

This month and the next I’m going to cover the physical processing aspects of derived tables. In my coverage of the physical treatment of named table expressions in the series I focus on the treatment in Microsoft SQL Server and Azure SQL Database. The physical treatment in other database platforms can be quite different.

C++ 93

C++ Database Servers Code 93

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. A resilient system continues to operate successfully in the presence of failures.

Latency 52

Latency Engineering Systems Hardware 52