Operations | Monitoring | ITSM | DevOps | Cloud

Last week we finally had our first virtual Icinga Meetup. Since we had some trouble at our very first try, we were even more excited and nervous about this. This time, after a couple of minutes it was clear that everything will go well from the technical perspective. We were prepared content-wise as well and almost all of the registered attendees showed up. Experiencing the first couple of minutes going so well was a huge relief and, in the end, the whole meeting was a great event.

If you want to skip ahead to see the MITRE ATT&CK eval round 2 results visualized in an easy-to-configure Kibana dashboard, check it out here.

To achieve unified observability, we need to gather all of the logs, metrics, and application traces from an environment. Storing them in a single datastore drastically increases our visibility, allowing us to monitor other distributed environments as well. In this blog, we will walk through one way to set up observability of your Kubernetes environment using the Elastic Stack — giving your team insight into the metrics and performance of your deployment.

Six months ago we celebrated the joining of forces between Endgame and Elastic under the banner of Elastic Security and announced the elimination of per endpoint pricing. Simultaneously, while the newest members of Elastic Security were getting acquainted with the Elastic SIEM team, a few of our analysts were locked away in an office at MITRE HQ for round 2 of MITRE’s APT emulation.

If you’ve been operating in the cloud for some time now, chances are your business has changed since you first made that move. Has your cloud usage grown considerably—and your OpEx costs? Is that just the cost of doing business in the cloud? It doesn’t have to be. Here’s how you can rationalize your infrastructure and determine if there are cloud expenses you can reclaim and even if it makes sense to move some of your cloud deployments into co-location.

Data classification can be broadly defined as the process of organizing and tagging data by categories so that collected data may be used and protected in the most efficient way possible. Sumo Logic is an analytics platform that can ingest almost any type of machine data. This data can be structured or unstructured, come in the form of event logs and messages or as time-series metrics. Once the data has been ingested into the platform, it can be leveraged for a wide variety of use cases.

Close your eyes for a moment and think of the least tech-savvy person in your family. Ok, open them. This person, even with their limited tech skills, probably understands that the farther you stray from your Wi-Fi router, the worse your connection will be. Incredibly, Chris and I can count between us over a dozen customers whose IT support teams failed to consider this one factor. How could something so simple fly under the radar of enterprise IT?

Creating a new release of Ubuntu is always a complex undertaking. At Canonical, delivering Ubuntu is our core mission, and each new version represents the culmination of months of effort from colleagues throughout our organisation – not to mention the contributions from our wider, open source community. And as our Bionic Beavers and Trusty Tahrs race towards their release dates, one of the final steps is to bring them to life with a mascot.

In recent reports, it is stated that datacenter-based GPU deployments is the fastest sector, and again, that’s no surprise. The cloud has had its own incredible growth over the years, and it’s only natural that these two technologies are starting to work in harmony. As a matter of fact, most public clouds have GPU offerings, which leads us to the meat of this blog post: Oracle Cloud.

In December 2019, we asked you what you thought were the most important things for us to include in Ubuntu 20.04 LTS. 21,862 people took the survey, and have since become a part of our decision-making processes. We would like to thank each and everyone who spent their time to take this survey, upon its close, the results were taken to the relevant engineering teams to support, or discourage, 20.04 decisions. Going forward, the results will remain a source of information for what the community wants.