Dynatrace

AUGUST 1, 2022

Dynatrace news. Kubernetes was initially designed with a strong focus on stateless workloads, meaning these workloads do not need to store any persistent data. Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). Famous examples include Redis , PostgreSQL , MySQL, and MongoDB.

Storage 195

Storage Database Network Tuning 195

DZone

AUGUST 1, 2022

If you’ve used Prometheus in the past for metrics collection/monitoring, then you’re probably familiar with Prometheus recording rules. As the Prometheus documentation says, recording rules allow you to precompute frequently needed or computationally expensive expressions and save their result as a new set of time series. Recording rules are the go-to approach for speeding up the performance of queries that take too long to return, and they are also commonly used to alias complex or repetitive P

Speed 130

Speed Metrics Monitoring Performance 130

SQL Performance

AUGUST 1, 2022

Recently I covered some of the T-SQL improvements in SQL Server 2022 here , and Aaron Bertrand covered additional improvements here. Those improvements were introduced in CTP 2.0. Microsoft just announced the release of SQL Server 2022 CTP 2.1. This release includes a number of additional interesting T-SQL improvements, which include: The distinct predicate.

Servers 142

Servers Testing C++ Code 142

Adrian Cockcroft

AUGUST 1, 2022

Weymouth and Chesil Beach viewed from Portland Heights?—?photo by Adrian I gave a talk at Monitorama in Portland Oregon in June, which set out the idea that carbon is just another metric to monitor, and that in a few years most of the monitoring and performance tuning tools are going to be reporting and optimizing for carbon alongside latency, throughput, availability and cost.

AWS 52

AWS Virtualization DevOps Latency 52

The Netflix TechBlog

AUGUST 1, 2022

Data Mesh?—?A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users. Our previous generation of streaming pipeline solution Keystone has a proven track record of serving multiple of our key business needs.

Processing 272

Processing Transportation Entertainment Tuning 272