By implementing document-level parallelism and pipelined bulk operations, I significantly improved ClusterSync’s performance, delivering up to 18× higher replication throughput.
Making Percona ClusterSync for MongoDB Replicating Data up to 18x Faster Read More »
Just like knowing the basics about how operating system works and/or how memory or CPU work, knowing the basics about database internals will, especially a backend developer, make you a more complete and competent programmer. In the video I’m gonna try to go over some basic about database internals and architecture.
What Every Developer Should Know About Databases Read More »
Running databases on Kubernetes is becoming more prevalent with big and small companies running their data workloads on Kubernetes clusters. Arguably, the best way to deploy and run them is with database Kubernetes operators.
What is a Database Kubernetes Operator? Read More »
There are a bunch of good books about Go, but the one I talk about in this video is the most valuable, to learn the language, and as a reference in your daily programming.
Most Useful Book for a Go Programmer? Read More »
Data race and race condition bugs are not the same thing. I tried to explain them and the difference between the two in Go.
Data Races vs Race Conditions in Go Read More »
Hello folks, in the video I want to show you a much better way to switch your applications on MacOS (Windows or Linux). Using CMD+Tab (or ALT+Tab on Win/Linux) is inefficient and distracting, to say the least.
The Ultimate Way to Switch Your Applications on MacOS (Windows or Linux) Read More »
Deploying database infrastructure on Kubernetes is only getting more important, especially if you already have your infra running on some k8s cluster. Learn how to deploy them properly with ease using Kubernetes operators.
Database Infrastructure with Open Source Kubernetes Operators Read More »
See how we make Percona Kubernetes operators more secure with the Trivy security scanner.
Making Percona Kubernetes Operators More Secure With Trivy Read More »
Every sharded-data system (a distributed datastore) has (or aims for) three fundamental properties: data consistency, data availability, and that it is tolerant to a network partition (a subset of nodes not being able to reach the rest of the cluster). But due to simple laws of physics it is impossible to have all of these.
CAP is Only Part of the Story, we need PACELC Read More »
I’m pretty sure we all know what technical debt is, attributed to Ward Cunningham in 1992, it basically states that there is no free lunch. But I love it. It makes us ship things quickly, validate them then refine them later. But it comes with a condition…
I Love Technical Debt Read More »