Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes has been around for nearly 10 years now. In the past five years, we’ve seen a drastic increase in adoption by engineering teams of all sizes. The promise of standardization of deployments and scaling across different types of applications, from static websites to full-blown microservice solutions, has fueled this sharp increase.

Metrics are closely associated with cloud infrastructure monitoring or application performance monitoring – we monitor metrics like infrastructure CPU and request latency to understand how our services are responding to changes in the system, which is a good way to surface new production issues. As many teams transition to observability, collecting metric data isn’t enough.

In our first blog post, we introduced the concept of cloud unit economics—a system to measure cost and usage metrics. It helps maximize cloud value for better outcomes per dollar spent. We reviewed what cloud unit economics is, why it’s crucial to FinOps success, and how it enables organizations to unlock the full business value potential of cloud computing.

What are the current options to migrate from OpenSearch to Elasticsearch®? OpenSearch is a fork of Elasticsearch 7.10 that has diverged quite a bit from itself lately, resulting in a different set of features and also different performance, as this benchmark shows (hint: it’s currently much slower than Elasticsearch).