By Laine Campbell, Charity Majors
If you’re an IT expert trying to develop your wisdom of database management, this functional ebook takes you thru each one component to web site reliability and operations in the context of database engines. IT staffers with minimum database operations event can use this information as a beginning of the structure and operations inside of a selected database. This booklet makes use of open-source engines akin to MySQL, PostgreSQL, MongoDB, and Cassandra as examples all through.
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Extra info for Database Reliability Engineering Designing and Operating Resilient Database Systems
This is why you should gradually develop a library of comprehen‐ sive high-level metrics about the health of the service. Health checks, error rates, latency. Anything that materially impacts and Bootstrapping your Monitoring | 37 disrupts your customer experience. And then? Go work on some‐ thing else for a while and see what breaks. We are almost entirely serious. As discussed in Chapter 3, Risk Management, there is only so much to be gained by sitting around trying to guess how your service is going to break.
As you work towards fulfilling the “esteem” state, you start by monitoring other symptoms that you have identified that corre‐ late with real problems, such as connection counts, or lock percen‐ tages. One common progression looks like: • Monitor if your databases are up or down (pull checks) • Monitor overall latency/error metrics and end-to-end health checks (push checks) • Instrument the application layer to measure latency/errors for every database call (push checks) 34 | Chapter 2: Operational Visibility • Gather as many metrics as possible about the system, storage, db and app layers, whether you think they will be useful or not.
Connection attempts and failures Corruption warnings and errors Database restarts Configuration changes Deadlocks Core dumps and stack traces Some of this data can be aggregated and pushed to your metrics sys‐ tems. Others should be treated as events, to be tracked and used for correlations. Wrapping Up Well, after all of that, I think we all need a break! Hopefully you’ve come out of this chapter with a solid understanding of the impor‐ tance of operational visibility, how to start an opviz program, and how to build and evolve an opviz architecture.
Database Reliability Engineering Designing and Operating Resilient Database Systems by Laine Campbell, Charity Majors