Persistence tips and best practices
For an observability system, the database layer is central to its architecture. Two key factors to consider for a successful deployment are its performance and scalability. It’s important that the system can expand to meet your infrastructure’s growing needs. Managing these systems can be challenging and risky if not done properly. Therefore, adopting standardized best practices and automation can mitigate many of these risks, making management less daunting and more efficient.
Performance and scale
As the core of the observability stack, it’s vital for the data storage layer to be performant and scalable. It needs to handle substantial amounts of data optimally, managing thousands or even millions of time series and log events. If these systems are slow, users will avoid them and seek other ways to get the information they need. Reliable performance is also important for timely alerts and incident management in critical...
