Optimizing observability costs with a DIY framework

Global spending on observability is over 2.4 billion USD in 2024 and expected to reach 4.1 billion by 2028. The growth of observability costs is driven by factors like microservices, ephemeral servers, and SRE/Chaos Engineering practices. To reduce observability costs, companies can consider implementing a DIY approach by categorizing data, optimizing storage options and minimizing data generation. When considering off-the-shelf observability solutions, companies should look for vendors with clear pricing models and cost optimization tools.