Operations | Monitoring | ITSM | DevOps | Cloud

“If I have to pull this car over, there will be trouble!” Does this evoke childhood memories of summer adventures in the family car? It’s the same sort of dread we get when the IT budget holder turns around and threatens to pull over on our journey to the cloud or hybrid cloud. The family summer road trip may be filled with great expectations, but the last thing we want is an unforeseen disruption along the way. And migration to the cloud is no different.

Today, we made an important announcement that builds on and extends our category leadership in Continuous Intelligence. This blog is to put that announcement into context for our customers, partners and the broader industry. In 2017, we shared our strategy to democratize machine data by building a cloud-native, Continuous Intelligence Platform™ to 1) unify modern application and machine data; 2) support the ongoing proliferation of users and access; and 3) leverage cloud-scale economics.

As more and more applications move to the cloud, the complexity of application architectures inevitably increases. It is a burden we willingly take on because the benefits—flexible deployment, technology diversity, independent scaling, and much more— tend to far outweigh the costs. But along this transition, most organizations face a dilemma, to divert resources to the necessary tooling for effective monitoring and troubleshooting of these systems – i.e.

Alongside five popular software projects, we recently launched a new initiative called Ubuntu Appliances. A portfolio of software that allows users to turn a Raspberry Pi or an Intel NUC into a secure, self-hosted device. The initial launch included the Nextcloud Ubuntu Appliance. An application that enables you to host your own cloud, on your own hardware. In this blog, we discuss the benefits of the Nextcloud Appliance, and the addition of Collabora Online for use on the Intel NUC.

While working on multiple projects, it is always a hassle to monitor the progress of your team members. Also, assigning tasks and tracking their status, keeping up with timelines, planning future tasks, etc. can sometimes get too messy. Tools like Trello emerge as one-stop solutions to such issues. In a world where people struggle to organize their tasks, Trello increases productivity while providing various ways to collaborate.

Isn’t all logging pretty much the same? Logs appear by default, like magic, without any further intervention by teams other than simply starting a system… right? While logging may seem like simple magic, there’s a lot to consider. Logs don’t just automatically appear for all levels of your architecture, and any logs that do automatically appear probably don’t have all of the details that you need to successfully understand what a system is doing.

We’re living history. We’ve heard it uttered in everything from news reports to conversations with loved ones. And it’s true — the tragedy and uncertainty of COVID-19 is shaping history and policy as we know it. But there’s something else newsworthy, too. Amid the pandemic, we’ve seen beacons of hope, humanity and progress. People have banded together to solve monumental problems at record pace.