Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Observabilty for complex systems and related technologies.

KMC - Observing and Optimizing Your Rancher Env (with Datadog)

Kubernetes has exploded in popularity due to its versatility, ease of use, and powerful autoscaling abilities. With Rancher, teams can seamlessly manage their Kubernetes and cloud-native workloads. Getting observability into such a dynamic technology, however, remains challenging.

Turning Telemetry into Actionable Insight with Moogsoft Observability Cloud

Under the hood, Moogsoft Observability Cloud extends AI-based intelligence so that it starts with raw observability data analysis. It discovers your infrastructure services to collect and analyze the time-series metrics locally, along with turning time-series metrics and event data from your existing tools into actionable insights.

ObservabilityCON Day 4 recap: a panel discussion on observability (and its future), the benefits of Chaos Engineering, and an observability demo showcase

Over the past four days, Grafana Labs' ObservabilityCON 2020 brought together the Grafana community for talks dedicated to observability. We hope you enjoyed all of the sessions, which are available on demand now. (Link to them from the schedule on the event page). The conference wrapped up with predictions and advice from observability experts, lessons in failure, and Grafana Labs team members showcasing ways Grafana and other tools fit into an observability workflow.

The Future of Ops Careers

Have you seen Lambda: A Serverless Musical? If not, you really have to. I love Hamilton, I love serverless, and I’m not trying to be a crank or a killjoy or police people’s language. BUT, unfortunately, the chorus chose to double-down on one of the stupidest and most dangerous tendencies the serverless movement has had from day one: misunderstanding and trash-talking operations.

Modernization Starts With Infrastructure

Today, every company is a software company and digital business is a core strategy for many organizations. To gain the much-needed agility and efficient scalability, companies in all verticals are modernizing their infrastructure by moving to hybrid, multicloud and cloud-native environments. Realizing that modern applications run on modern infrastructure, IT leaders are prioritizing infrastructure modernization initiatives.

New Product Updates What Does it Mean to Observe and Debug in 'Hi Res'

A number of Honeycomb features have been released throughout spring 2019 that, collectively, we like to say deliver “hi-res” across the Engineering and DevOps lifecycle. What do we mean? First, hi-res with Honeycomb means you get clearer visibility about how your production is behaving in real time, as you release new code. Secondly, it means once you have those insights (thanks to granular event data stored in Honeycomb), you can debug and resolve more efficiently. So, how do we do it?

Eaze into Observability

On-call teams use Honeycomb’s analytics to discover exactly what is happening with code in production. While incident response is a key reason engineers rely on Honeycomb, observability also delivers unique value during the development process. Eaze takes observability a step further and uses Honeycomb to prioritize what’s needed to stabilize their existing service while informing how they build their new Go and Node.js microservices platform all at the same time.

Why Is Designing an Effective Application Logging Strategy Important?

Observability is made up of metrics, logs, and traces. These pillars help us understand the behavior of applications under normal execution, which further accelerates identifying anomalies in case of application failure or deviation from normal execution. Logging is not about tracing each and every operation, it is about sensible, consistent, and machine-readable log messages that expose the application behavior.