There are several reasons for creating a highly efficient and performant database in the current web era. RocksDB is an embedded key-value store designed for efficient data storage and retrieval. It is an open-source database engine developed by Facebook, which builds upon the strengths of LevelDB while incorporating several enhancements for durability, scalability, and performance.

Monitoring your instance of MongoDB is important for maintaining optimal database performance, ensuring security, detecting and addressing issues promptly, and planning for future growth and scalability. Database and infrastructure monitoring allows for the early detection of potential problems such as server overload, disk space shortages, or network issues.

Picture this: you step into your dream DBA job, and everything's running like a well-oiled machine. Your monitoring tools show you any hiccups before they become full-blown issues. you've got room to team up with your business counterparts on interesting projects important to the business and place your team in front of leadership. You’re focused on automation and cloud migration and learning Microsoft Fabric so the business can access the data they need directly. Sounds awesome, right?

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.

I began working with database customers back in the day with VividCortex until it was purchased by SolarWinds. Since then, I’ve had the opportunity to work with tons of our database solution customers as an account manager and now lead our DPM renewals initiative. In these roles, I’ve helped our customers transition from VividCortex to Database Performance Monitor (DPM) and now migrate into Database Observability.

Internally, VictoriaMetrics makes heavy use of sync.Pool, a data structure built into Go’s standard library. sync.Pool is intended to store temporary, fungible objects for reuse to relieve pressure on the garbage collector. If you are familiar with free lists, you can think of sync.Pool as a data structure that allows you to implement them in a thread-safe way.

What is a Time Series Data Warehouse? How does it help in your monitoring journey? How does it differ from a Time Series Database? That and more.