Operations | Monitoring | ITSM | DevOps | Cloud

I bet we all have heard so much about eBPF in recent years. Data shows that eBPF is quickly becoming the first choice for implementing tracing and security applications, and Elastic is also working relentlessly on supercharging our security solutions (and more) with eBPF. However, one major challenge is that the eBPF ecosystem lacks tooling to make developers' lives easier. eBPF programs are written in C but compiled for a specific ISA later executed by the eBPF Virtual Machine.

Yes! While data is data (and tools exist on a continuum, and can and often are reused or repurposed to answer questions outside their natural domain), observability and BI/data warehouses typically exist on opposite ends of the spectrum in terms of time, speed, and accuracy, among others.

Whether you are a DIY ace or a master at roast beef, a decorated luthier or the best seamstress in the neighborhood, we all love to work with good tools, right? This includes, of course, good IT professionals. Because IT monitoring tools are fundamental when it comes to supervising a network infrastructure and applying the corresponding policies and security measures. Even so, not every monitoring tool is perfect, in fact some could even get to the point of harming us. Let’s take a look!

If I had a penny for each time someone asked for a single pane of glass view across my 20 years in the application monitoring (now observability) space, and I would be retired instead of writing this blog. But, on the other hand, I’d be in big trouble if I paid out each time we failed we finished that ask.

Jay V is one of the founders of Serverless Stack (SST), an open-source framework that makes it easy to build serverless apps. He spends his time trying to figure out what the future of the cloud will look like. And liking memes on Twitter.

If you’re even the slightest bit familiar with how Grafana dashboards work, you’ve probably realized that the time range selector is one of the most important features. After all, when you’re using Grafana to visualize time series and logs, defining a time range is required for metrics and logs queries.