The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Monitoring the performance of your MySQL database will help identify performance bottlenecks, inefficient queries, and resource-intensive processes. By tracking metrics like query execution times, server load, and resource usage, administrators can optimize configurations and fine-tune the database for better efficiency and speed. Additionally, monitoring any running process allows for the early detection of potential problems such as server overload, disk space shortages, or network issues.
Who could have predicted that 2023 would see such a huge leap forward in Artificial Intelligence (AI)? That this was going to be the year industries decided that, this is the decade, we would solve AI. From the earliest research as far back as the 1940s, we’ve all been holding our breath, wondering when AI will live up to the expectations painted by science fiction writers and futurists. With the arrival of ChatGPT from OpenAI, we’ve been catapulted into the next generation.
When it comes to managing infrastructure resources, striking a balance between rightsizing and cost optimization is crucial. Our cloud infrastructure at Mattermost runs on multiple Kubernetes clusters, RDS clusters, and S3 buckets, all isolated from each other for enhanced security and performance.