LMA 2: Reimaginging observability with MicroK8s and Grafana, Prometheus and Grafana Loki

See the full post here ➡️ https://ubuntu.com//blog/lma-2-modern-observability-with-juju-by-charming-the-grafana-ecosystem

Excerpt below:

Note: This post is co-authored by Jon Seager. Jon Seager is an engineering director at Canonical with responsibility for Juju, the Charmed Operator Framework, and a number of charmed operator development teams which operate across different software flavors including observability, data platform, MLOps, identity and more.

Juju re-imagines the world of operating software securely, reliably, and at scale. Juju realizes the promise of model-driven operations. Excellent observability is undeniably a key ingredient for operating software well, which is why the Charmed Operator ecosystem has long provided operators the ability to run a variety of open source monitoring software. We collectively refer to these operators as the Logs, Metrics, and Alerts (LMA) stack.

With the advent of cloud native software and microservices, and the resulting increase in complexity of systems, we decided it was time to create the next generation of LMA running on Kubernetes. It needed to be capable of monitoring workloads running on Kubernetes, virtual machines, bare metal, or the edge. Going back to the drawing board, we also reassessed which components would be part of this new cloud native LMA. The resulting design is composed of open source projects led or very heavily contributed to by Grafana Labs. Let us tell you why.

There’s something about Juju …

Juju takes a fundamentally different approach to building and operating infrastructure. Rather than a focus on the low-level components, such as virtual machines, subnets, or containers, Juju focuses the user on operating applications while it takes care of the

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