Microservices are being used every where and for good reasons. They do provide you with many benefits especially improved focus and cutting the time to market. Microservices do bring complexities too. Monitoring microservices is complex because of simply the number of them. Monitoring a user transaction requires monitoring many microservices. Correlating the data from them to identify the root cause manually is a nightmare especially in a complex environment with 100s or 1000s of microservices.
To improve reliability, we need to measure it, and to measure it we use SLOs (Service Level Objectives). Or at least, that’s what Google SRE has popularized. In practice, it can be difficult and time-consuming to identify the right things to measure, to get to the right data, and to surface the results in a way that engages the stakeholders and teams involved. And all this is especially hard as we scale our teams and applications across multiple technology stacks.
Observability is a very important aspect of software that’s often taken for granted. You need to have visibility into what your application is doing at different levels to better understand an issue when it occurs. There are multiple open-source tools and initiatives to help you achieve improved visibility. When we talk about observability, there are three parts to consider: logs, traces and metrics.
Microservice architecture is an application system design pattern in which an entire business application is composed of individual functional scoped services, which can scale on demand. Each team focuses on an individual service and builds it according to their skillset or language of choice. In addition to flexibility, this pattern provides: These features have made microservices architecture a popular choice for enterprises.
Mickael Alliel 5 Min read September 20th, 2022 DevOps Kubernetes