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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

7 Trends in Database DevOps & Monitoring - Download the infographic

Earlier this year, we surveyed over 5,700 global IT professionals and asked them what the most pressing challenges they faced in Database DevOps and Monitoring are. We also asked specific questions to gauge what trends we could spot in the industry and compared the responses to the last 3-5 years of data we have.

Why observability is the way to go w/ Georg Höllebauer (APA-Tech) | The StackPod EP #2

Welcome to the second episode of the StackPod! For the second episode, we invited Georg Höllebauer. Georg is an enterprise metrics architect at APA-Tech. APA-Tech is responsible for all IT services within the Austrian Press Agency - Austria's national and largest press agency - and other customers.

Your First Shipa Webhook - Microsoft Teams Integration

One more “ops” phoneme like DevOps is ChatOps; or conversation-based development/operations. ChatOps has been growing in popularity as communication platforms such as Slack is ingrained in our day-to-day engineering lives. A team lead once told me “if it didn’t happen in Slack, it didn’t happen” showing the emphasis of communication platforms as a system of record.

TL;DR InfluxDB Tech Tips - Visualizing Uptime with Flux deadman() Function in InfluxDB Dashboards

A common DevOps use case involves alerting when hosts stop reporting metrics, aka a deadman alert. This can be done using the monitor.deadman() Flux function. One can easily create a deadman (or threshold) check in the InfluxDB UI Alerts section or craft a custom task to alert as well. Check out InfluxDB’s Checks and Notifications system post for more details. It’s also possible to use the monitor.deadman() function directly in a dashboard cell.

Superfast Troubleshooting of Network User Performance Issues

In our first edition of our Work From Anywhere series, we look at the value of troubleshooting end-user hardware and application issues. Exploring the granular detail that the solution provides, we look at how understanding information around the end-users hardware can help reduce mean-time-to-resolution and increasing productivity of service/support desk teams.