Database Troubleshooting built for humans. Finally.

Dealing with database issues is something most of us have experienced. Databases can become slow, unreliable, or even crash soon after deployments, impacting business operations and diminishing customer satisfaction. It's no wonder we strive to resolve these issues as quickly as possible. But what if we could sidestep these problems altogether? Imagine having databases that can self-heal and automatically resolve issues - or better yet, prevent them before they happen. Keep reading to discover how Metis can help your databases remain resilient and automatically address any problems.

The database domain is constantly evolving, with innovations emerging rapidly and today’s cutting-edge systems becoming tomorrow’s legacy. Despite our best efforts, issues can still arise in production. Faulty code may be deployed, slow schema migrations may occur, or unexpected surges in traffic may overwhelm our systems. Here, we explore three key trends in the database landscape that can help us maintain optimal database reliability.

DevOps Engineers often aim to take ownership of the tools and systems they manage, which brings significant advantages: they can streamline communication, set their priorities, and implement improvements through optimized tools and processes. However, it becomes challenging for them to work effectively without full ownership. This issue frequently arises with databases - DevOps Engineers typically don't control the database engines, which hinders their ability to move quickly amid their many responsibilities. But what if they did own their databases? What if they could operate independently without relying on other teams? Read on to explore how this can become a reality.