Kubernetes 1.18 is about to be released! After the small release that was 1.17, 1.18 comes strong and packed with novelties. Where do we begin? There are new features, like the OIDC discovery for the API server and the increased support for Windows nodes, that will have a big impact on the community. We are also happy to see how some features that have been on Alpha state for too long are now being reconsidered and prepared for the spotlight, like Ingress or the API Server Network Proxy.
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.
If you’re an advanced Kubernetes user, you’ll likely want to configure parameters for specific use cases. While with Kublr, the most flexible Kubernetes platform on the market, literally everything is customizable (except, of course, if you want to replace Kubernetes with a different container orchestrator), a lot of the customization in the previous versions was still done via command line.
As the world tries to battle COVID-19, most of our customers here at Zenduty have started implementing social distancing measures within their companies by asking all their employees, including the NOC, SRE, ITOps, Support, and software engineering teams to work remotely or from home. While that may appear to be a drastic change in your day-to-day operations, it need not disrupt your reliability and support operations.
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.
