I’m delighted to announce that Honeycomb has raised $20M in Series B funding, led by e.ventures Growth, with participation from existing investors Scale Venture Partners, Storm Ventures, Next World Capital, and Merian Ventures, and joined by Industry Ventures. Honeycomb has led the conversation and momentum behind observability for years, and now we’re poised to scale the product, community, and practice even further.

In this article, we will build a CI/CD pipeline with the AWS Cloud Development Kit (CDK) and debug a test it using Dashbird’s observability tool. In 2021, continuous integration and continuous delivery, or short CI/CD, should be part of every modern software development process. It helps deliver new features and bug fixes much faster.

Some of you may have seen recently that we are trying to commoditize machine learning through our MLTK smart workflows. Here I’d like to outline another example of an MLTK smart workflow, designed to help improve the usability of the predictive capabilities in ITSI.

Back in October, we announced the Splunk OpenTelemetry Collector Distribution, which offered the industry’s first production-ready support for OpenTelemetry. This distribution is the recommended way that customers of Splunk’s award-winning observability products capture metrics and traces.

In part one of the "Visual Analysis with Splunk" blog series, "Visual Link Analysis with Splunk: Part 1 - Data Reduction," we covered how to take a large data set and convert it to only linked data in Splunk Enterprise. Now let’s look at how we can start visualizing the data we found that contains links. Why, you may ask, when we just developed a nice table of data that shows us links? Tables of data don’t always work well if you have more than one page of data.

You’ve just received a notification—a major network issue has occurred. Hoping it’s a false positive, you complete an initial triage. Dang it! It’s the real thing. If you’re like me, your mind likely turns to one thing: fixing the issue as fast as you can. But hold on! Before you turn completely to fixing it, there’s another important aspect to any incident that you can’t forget, and that’s incident communication.

Everyone knows that automation is set to have a profound impact on the world of work in the coming years. Often called the ‘fourth industrial revolution,’ the impact is widely expected to be as profound as the industrial revolution itself. Just as mechanical systems replaced the works of human hands in the 19th century, artificial intelligence is expected to significantly supplant human brainpower in the 21st century, with equally profound impact on our personal and professional lives.

My personal experience with HAProxy dates back to my work with a previous company, where we used HAProxy to do load balancing between pairs of servers with specific roles. Those servers are the core of the major payment gateway in Uruguay, where thousands of users use them every day to pay their bills, recharge their mobile phones, pay parking fees, and even play lottery numbers.

Downtime Monkey now logs more than 4 million website responses each day. We analysed these to see how fast websites respond in practice. View the full results below or skip to the sound bites.

Sensu creator and CTO Sean Porter recently wrote about “monitoring as code” and his perspectives on where the next generation of monitoring and observability workflows is headed. That post did a great job of outlining the concepts; this post will put theory into practice with SensuFlow, a new prescriptive monitoring as code workflow for Sensu Go, and its accompanying GitHub Action.