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Blog posts tagged
"LMA"

Andreea Munteanu
6 July 2023

ML Observability: what, why, how

AI Article

Note: This post is co-authored by Simon Aronsson, Senior Engineering Manager for Canonical Observability Stack. AI/ML is moving beyond the experimentation phase. This involves a shift in the way of operating because productising AI involves many sophisticated processes. Machine learning operations (MLOps) is a new practice that ensures ML ...

Michele Mancioppi
28 October 2021

Canonical Observability Stack: Reimagining observability with MicroK8s and Grafana, Prometheus and Grafana Loki

Charms Article

Note: This post is co-authored by Jon Seager. Jon Seager is the Vice President of Enterprise Engineering at Canonical with responsibility for Juju, the Charmed Operator Framework, and several charmed operator development teams which operate across different software flavors, including observability, data platform, MLOps, identity, and mor ...

Michele Mancioppi
17 September 2021

Model-driven observability: Embedded Alert Rules

Charms Article

Learn does’, dont’s and gotchas of Prometheus alert rules, and how to embed alert rules in your Juju charms. ...

Michele Mancioppi
30 August 2021

Model-driven observability: Taming alert storms

Charms Article

Model-driven observability and its strong notion of topology provide easy-to-apply alert management capabilities to avoid alert storms and help find root causes faster. ...

Michele Mancioppi
22 August 2021

Model-driven observability: the magic of Juju topology for metrics

Charms Article

Learn how model-driven observability with Juju can drastically improve the quality of the insights you get from your monitoring telemetry. ...