On this episode of Exception Perceptions, GitHub Community Engineer Bex Warner stopped by to chat about Probot, a framework for automating GitHub. Watch the episode, and then read what else Bex has to say about the magic of Probot. Also, check out this example of what Sentry has built with Probot.
It’s essential to monitor server vitals such as CPU utilisation, memory usage and free disk space to spot the warning signs of impending doom (hands up those that have run out of disk space on a production server before. Many turn to Application Performance Monitoring (APM) software for help. But APM solutions can be expensive, require software to be installed and require system access that some people may not be comfortable with.
New Streaming & Inquiries Apps in the Web UI, Orquesta second beta, Helm Chart for running StackStorm in HA mode on Kubernetes, new Windows runners, and plenty of fixes and improvements: StackStorm 2.9 is ready to go! Here’s all the details.
New users of APM software often believe their company has hundreds of critical business transactions that must be monitored. But that’s not the case. In my role as Professional Services Consultant (EMEA) at AppDynamics, I’ve worked at dozens of customer sites, and the question of “What to monitor?” is always foremost in new users’ minds.
Do any of these sound familiar? One of your best engineers just put in notice that they are taking a job elsewhere because the on-call load while working for you is destroying their personal life—but you honestly thought things were fine.
How about starting with an introduction? We will attach links to articles already published that expand on each concept or topic in order to keep our journey as compact as possible.
Deriving meaningful insights from third-party logs has always been a difficult yet necessary task. Most analysis occurs after-the-fact, when something has gone wrong. Very few tools allow real-time monitoring of logs, so SREs have become accustomed to backfilling log data into various analysis tools. Postmortem log analysis is the de facto standard, yet should it be? Why shouldn’t you be able to monitor your server logs in real-time?
This week we share articles covering Grafana’s alpha Explore UI, the many ways Logicify uses Grafana, building your own centralized monitoring stack, and more.
When there’s an incident, Grafana is often the starting point for figuring out a response. Users look at a time series panel and form a hypothesis. And in many situations, they’d like to dive deeper. To help make that easier, Grafana Labs has created the Explore UI, which allows you to iterate quickly through Prometheus queries, while leaving your dashboards intact.
One more article in Logicify Monitoring Tools series talks about Grafana, a software we use both for internal and external projects to visualize and analyze the data. The article could be of interest to CTOs, developers and DevOps, system administrators and Project Managers, and everyone interested.
