Operations | Monitoring | ITSM | DevOps | Cloud

Elasticsearch provides a powerful set of options for querying documents for various use cases so it’s useful to know which query to apply to a specific case. The following is a hands-on tutorial to help you take advantage of the most important queries that Elasticsearch has to offer. In this guide, you’ll learn 42 popular query examples with detailed explanations, but before we get started, here’s a summary of what the types of queries we’ll tackle.

In February we released the first version of our new Icinga for Windows monitoring. Within a short amount of time we received a lot of feedback from different test and customer environments. Thanks to your testing, feedback and reports we were able to track down additional issues on the framework itself. Today we are happy to announce Icinga for Windows v1.0.1 – fixing issues especially with service user handling and one issue with the Icinga Director Self-Service API.

Yesterday, we released our earnings during an unprecedented time for society and the market. One of the things I noticed was the collective empathy we experienced as we talked to different teams and companies in preparation, and in our analyst call backs, where to a person, everyone kicked off their call by wishing each other good health and safety. It reminded me that when we are all in this together, not only are great things possible, but it also feels less daunting and more manageable.

Andreessen Horowitz recently published a blog about the Heavy Cloud Costs and Scaling Challenges of The New Business of AI, in which they describe how AI companies are facing cloud cost challenges, which are impacting their margins. As someone who used to manage a fully home-grown on-site distributed speech recognition platform for an industry leader, I know firsthand that ML can be expensive and challenging to maintain. However, it doesn’t have to be.

The work of an admin or network administrator may seem ordinary, that type of work that just follows a guide, but right now, you could not be further from truth. Here I bring you network scanning, a task that could take a lot of your time… or little, if you have Pandora FMS by your side and with the help of one of those free software applications included in GNU / Linux. Let’s take a look!

Elastic Workplace Search is rooted in a simple, but powerful mission: bringing information, content, and files from every corner of your organization into a singular, centralized source of truth. Thanks to its portfolio of first-party integrations, Workplace Search easily connects to a variety of popular content platforms.

When I read Greg Ferro’s infamous “Why I hate ITIL so much” blog back in 2015, I have to admit that I agreed with many (albeit not all) of what he said. Maybe it’s the issues that I have with authority in general, or maybe it’s my many years of working within the constraints of ITIL and ITSM in operating systems and services – but I truly believed (and still do) that well-educated, experience and consensus-based pragmatism is what actually gets things done.

IT operations pros worldwide are in wartime. They’ve got to support a mass number of people transitioning to remote work overnight. This is putting a severe strain on networks and servers and security policies. They may also be dealing with major traffic jams on customer-facing websites, especially for consumer-facing businesses in retail, healthcare and financial services. If you haven’t done a lot of pre-planning, things might be a little rough in your business right now.

By now you’ve likely been flooded with dozens of client requests to set their employees up to work remotely. While it sounds like a simple request, it’s often easier said than done as many clients are missing the resources they need to effectively work from home. During COVID-19, if you’re searching for ways to quickly enable your clients to work and collaborate remotely while keeping their networks stable and secure, you’ve found it.

The first means to collect security-relevant information at Cloud SIEM Enterprise (CSE) was our Network Sensor. It was built to analyze network traffic and provide visibility beyond traditional SIEM's down to the network-level. Beyond organizing packets into flows, the sensor supports more advanced features such as decoding of common protocols, file carving, SSL certificate validation, OS fingerprinting, clustered deployment and more.