Artificial Intelligence for IT Operations – AIOPS
We collect metrics, events, logs and traces (MELT) to attain observability. When we get an event, we assign it to rightful owner, who in turn take a decision to resolve…
Native cloud monitoring tools or observability tools?
Native cloud monitoring tools like AWS CloudWatch offer ease of use and basic free services, yet may lack comprehensive observability, especially in multi-cloud or custom application scenarios, often requiring additional costs. Third-party observability tools provide deeper insights and customization but come with higher costs, longer procurement, and maintenance demands. Choosing between native and third-party tools depends on project requirements, monitoring depth, and budget, without a one-size-fits-all solution for systemic health and performance management.
Getting started with observability
This tutorial explains monitoring cloud infrastructure using eG Innovations' SaaS, detailing steps from signing up for a trial to monitoring AWS cloud instances. The process, utilizing a remote agent, covers discovering cloud resources, installing agents for converged monitoring (Metrics, Events, Logs, Traces), and receiving alerts for anomalies. Observability without writing scripts through Metrics-Events-Logs-Traces (MELT) is emphasized, with the promise to later discuss different monitoring methods.
5 Steps to Monitor Lightsail VM using Amazon Cloud Watch
Amazon Cloud Watch and Azure Monitor are native cloud monitoring tools that can be bundled with cloud subscriptions, sparking debate over their sufficiency for full observability and SRE MELT goals. The post details a five-step process for monitoring AWS Lightsail VMs using Amazon Cloud Watch, covering installation and configuration of the AWS CLI and CloudWatch agent. This process is vital as Lightsail VMs do not natively include AWS CloudWatch agents. Additional metrics, such as memory and network consumption, can also be monitored, though troubleshooting may be necessary for some metrics to appear.
What is MELT? Why is it Essential for Observability?
MELT, an acronym for Metrics, Events, Logs, and Traces, is a framework essential in SRE for comprehensive system performance monitoring. It facilitates observability by providing data on system health, recording events, offering detailed logs, and tracing complex transactions. Through MELT, businesses can proactively manage their systems and enhance user experiences.