On August 30th CenturyLink/Level3 faced major IP outages across its Global Network. This incident adversely impacted all their customers, ISPs, and other digital services around the world.

Those of you, who’ve already tried out the Web Interface for Icinga DB might have noticed the redesigned layout of the check execution statistics section in a monitoring object’s detail view. For all the others: Learn about it in this post. On first hand we wanted to make the informations more compact and put them in relation with each other, where possible. We aimed to keep all the information of the old one, though.

When you build your application on top of Lambda, AWS automatically scales the number of “workers” (think containers) running your code based on traffic. And by default, your functions are deployed to three Availability Zones (AZs). This gives you a lot of scalability and redundancy out of the box. When it comes to API functions, every user request is processed by a separate worker. So the API-level concurrency is now handled by the platform.

This is the first in a series of posts we’ll be publishing on trends we’re seeing in the retail industry and how IT organizations tasked with deploying and maintaining flawless digital customer experiences can take advantage of PagerDuty to ensure always-on reliability. It’s been a tough year for retail.

At Honeycomb, we talk a lot about eating our own dogfood. Since we use Honeycomb to observe Honeycomb, we have many opportunities to try out UX changes ourselves before rolling them out to all of our users. UX doesn’t stop at the UI though! Developer experience matters too, especially when getting started with observability. We often get questions about the difference between using our Beeline SDKs compared with other integrations, especially OpenTelemetry (abbreviated “OTel”).

We love maps at Elastic. In the Elastic Stack, there is one core component of all data we visualize using maps: Location. Location can mean reporting real-time positions of fleet vehicles, using a geofence for limiting search results, gauging application performance metrics from a geographic area, or identifying security threats by attaching geographic coordinates to IP addresses.

In two previous posts, we covered structuring data with grok and building custom grok patterns. But what happens if you just can’t get your grok patterns to work? In this article, we’re going to use Kibana’s Grok Debugger to help us debug a broken grok pattern. The divide-and-conquer method described below should help you to quickly find the reason that a given grok pattern is not matching your data.

What’s the buzz around AIOps? According to Gartner, “AIOps is the application of machine learning (ML) and data science to IT operations problems.” Though the terms AI and ML conjure images of almost magical capabilities, devoid of connection to the domain in which it’s applied, actually the reality is far different.

Fiserv, the Fortune 500 payments and financial technology provider, needed to streamline and automate its IT incident management process to detect and fix issues earlier and more quickly. The incident management workflow was complex, primarily because mergers and acquisitions over the years had made Fiserv’s IT environment very heterogeneous. “The challenges we were facing were enormous,” IT Director Chris Kreps says.

Bobby McCullough is a Sales Engineer with Flycast, an IT service provider specializing in service management, asset management, security and IT operations management. Flycast uses OpsRamp internally and also resells the platform to its customers. He spoke with us about trends in ESM, ITSM and IT operations.