Operations | Monitoring | ITSM | DevOps | Cloud

In recent years, data science, AI and software development have become a key focus area for organisations operating in every sector of the economy. This creates a pressing need to adopt Linux desktops in the enterprise, as research clearly shows a growing number of data scientists and developers prefer operating systems like Ubuntu.

With support for Bitbucket Server ending in February 2024, we're seeing more and more of our enterprise customers moving their code to the cloud. To enable a smooth migration to cloud for our Bitbucket Server and Data Center customers and to enable our existing cloud customers to scale, we are continuing to build features around security, compliance, and scale in Bitbucket Cloud.

When your incident response process is centered around a service catalog, responders are able to more quickly pinpoint the service or functionality that’s down, bring in the team or experts, and then get to solving the problem faster. Saving even a few minutes can have a big impact on decreasing the costs around incidents and outages, so having up-to-date service details at your fingertips can make all the difference.

Does it not strike you as strange that even after the world has coped with the COVID crisis, work from home did not end? We shall not examine the reasons behind the continuation of work-from-home culture. However, it is important to be cognizant of the fact that work-from-home is here to stay, and organizations need to adapt to it quickly. One of the major concerns for organizations today is onboarding new work-from-home employees.

Just about everything you interact with digitally is enabled by the cloud. Whether you’re doom-scrolling on Instagram, binge-watching on Netflix, ride-hailing on Uber, or downloading super-cool cloud podcasts (hint, hint) on Spotify, you’re using the cloud. But most people don’t have any idea what the cloud is, where it came from, or what we, as a species, spend on it.

For Amazon to survive, they needed the cloud. But they had to invent it — and creating the cloud meant overcoming obstacles fundamental to the nature of software development at the time.

An easy way to understand what the early cloud did is to think of it like a public utility. The same way buildings depend on a common set of utilities — gas, electricity, and water — software projects depend on a common set of services: compute, storage, and database. “Compute” refers to the power it takes to run the software.

DevOps teams are used to working with data that is spread out across lots of different systems and environments. In organizations that have achieved tight collaboration with security teams to transition to DevSecOps, this is even more true! Log management is part of how all these teams keep track of information and make vital business decisions. It’s important to take a moment to understand what is meant by log management.

While network automation tools can help infrastructure and operations (I&O) teams improve their agility, lower their costs, and reduce the risk of manual errors, network management stubbornly remains a largely manual process. According to a recent Gartner report, less than 35% of enterprise network activities are automated today, forcing enterprises to run largely using a ClickOps model.