Operations | Monitoring | ITSM | DevOps | Cloud

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How to visualize SurrealDB data with Grafana

Whether your data is on the moon or in your basement, Grafana has got you covered. As the go-to platform for monitoring and observability, Grafana has been your trusty sidekick for data visualization for years, in part because we’re always looking for new ways to support our users, no matter where they keep their data. That’s why we’re excited to tell you about our latest supported data source — SurrealDB.

How to make a chatbot: Dos and don'ts for developers in an AI-driven world

Every day the world is becoming increasingly powered by artificial intelligence. In fact, you’d struggle to find tech companies that have not announced AI integrations into their tech stack in one way or another. Cynics might say this is a passing phase, but the reason AI is so popular is that it’s a versatile set of capabilities that can help solve a lot of problems.

How to Collect IoT Data Through Cribl Stream and Cribl Search

Cribl’s suite of products excel at collecting and organizing your IT and security event data. Did you know it can also help with IoT data collection and analysis? If you can get the text of the data into Cribl, in most cases, we can process it, transform it, and send it to where you want it to go. A few years ago, I bought a weather station. I immediately hooked up some home automation gear to show me the temperature, humidity, and air quality. But the geek in me wants more.

What's New at Kentik, Episode 4

Kenik NMS and AI are the big news this month! Join Leon Adato as he unveils the groundbreaking Kentik NMS (Network Monitoring System) and Kentik AI, designed to enhance network observability with advanced metrics and intelligent, natural language query capabilities. This episode introduces these powerful tools and shares insights into their significance in modern network monitoring. Discover how Kentik is redefining network management with these innovations, promising "phenomenal cosmic power" to IT professionals!

Beyond APM: What Datadog Won't Tell You with Leon Adato of Kentik

APM tools promise a unified observability platform, yet they inherently focus on internal metrics, traces, and logs. This internal focus, while valuable, misses critical dimensions of the user experience and network performance that are essential for a complete understanding of application behavior in real-world scenarios. With Kentik you can dive deep into your network performance and find problems before they affect your users.

We've launched incident.io On-call

It’s 3am. You wake up to a blaring alarm, the sound burned into your soul from countless sleepless nights. You reach for your phone, ‘press 4 to acknowledge’ and bleary eyed, you open your laptop, grab a coffee and get to work. The next hour is a whirlwind—bringing services back online, keeping colleagues in the loop, maintaining a list of action items, updating a status page that will be seen by millions of customers. Potentially for the fifth time this month.

Your reliability scorecard: How to measure and track service reliability

If your organization asked you to report on the reliability improvements you’ve made over the past 90 days, would you be able to pull up a report? If you’re like many engineers, this question might make you anxious. Reliability is a difficult metric to quantify in a meaningful way, let alone measure.

DNS troubleshooting for Kubernetes applications with Calico DNS dashboards

Within Kubernetes, the Domain Name System (DNS) plays a pivotal role in facilitating service discovery, allowing pods to effectively locate and interact with other services within the cluster. For organizations transitioning their workloads to Kubernetes, establishing connectivity with services external to the cluster is equally important.

PostgreSQL for AI applications

If you’re working with AI, you’re working with data. From numerical data to videos or images, regardless of your industry or use case, every AI project depends on data in some form. The question is: how can you efficiently store that data and use it when building your models? One answer is PostgreSQL, a proven and well-loved database that, thanks to recent developments, has become a strong choice to support AI.