The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
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SLOs—or Service Level Objectives—can be pretty powerful. They provide a safety net that helps teams identify and fix issues before they reach unacceptable levels and degrade the user experience. But SLOs can also be intimidating. Here’s how a lot of teams feel about them: We know we want SLOs, we’re not sure how to really use them, and we don’t know how to debug SLO-based alerts. Don’t worry, we’ve got your answer—observability!
Telegraf is a very powerful open source plugin-based agent that gathers data from stacks, sensors, and systems and sends it to a database. It collects data from an input and sends it to an output, and gives you the option to transform data with aggregators and processors before it reaches its endpoint.
With the Grafana 8.5 release, we introduced the concept of service accounts. Now with the Grafana 9.1 release, we’re making service accounts generally available. This is a project that came out of technical necessity, but it has given us the opportunity to reflect on API tokens and machine-to-machine interaction across Grafana Labs.
Earlier this year, Job Snijders and I published an analysis that estimated the proportion of internet traffic destined for BGP routes with ROAs. The conclusion was that the majority of internet traffic goes to routes covered by ROAs and are thus eligible for the protection that RPKI ROV offers. However, ROAs alone are useless if only a few networks are rejecting invalid routes.
The financial services industry has been under increasing pressure during the past several years to view operational resilience and their risk management postures as being symbiotic in the wake of rising operational incidents and increasingly frequent security threats.
When troubleshooting an incident, DevOps teams often get bogged down searching for errors and unexpected events in an ever-increasing volume of logs. The painstaking nature of this work can result in teams struggling to resolve issues before new incidents appear, potentially leading to an incident backlog, longer MTTR, and a degraded end-user experience.