Operations | Monitoring | ITSM | DevOps | Cloud

AIOps is a DevOps strategy that brings the power of machine learning to bear on observability and system management. It’s not surprising that an increasing number of companies are now adopting this approach. AIOps first came onto the scene in 2015 (coincidentally the same year as Coralogix) and has been gaining momentum for the past half-decade. In this post, we’ll talk about what AIOps is, and why a business might want to use it for their log analytics.

Ever since Google made Kubernetes open-source in 2014, it has enjoyed incredible growth, helping businesses of all sizes to successfully manage their containers and ultimately make the most of all that our cloud native world has to offer. Individual users certainly initially led the charge with Kubernetes, identifying issues, and generally exploring the best ways to intelligently test, manage, and deploy workloads.

DORA metrics come from an organization called DevOps Research and Assessment. This was a team put together by Google to survey thousands of development teams across multiple industries, to try to understand what makes a high performing team different than a low performing team. What they ended up settling on are these four metrics.

A couple of days ago, I was pleasantly surprised to suddenly see a tweet come in from Viktor Farcic. Viktor now works at upbound.io who developed Crossplane, and he also runs his own popular YouTube channel and co-hosts DevOps Paradox podcast. He’s well respected in the cloud native community. When I saw the tweet and noticed that Viktor had recorded a review of Civo on YouTube, I was just hoping he was kind to us...and I am pleased to say he was!

As organizations look to adopt Kubernetes, they are being confronted with a growing number of Kubernetes distributions, services, and products to choose from. Navigating the Kubernetes landscape can be incredibly challenging, especially because there is no “one size fits all” solution. To help streamline the process, we compare Red Hat OpenShift and D2iQ Kubernetes Platform (DKP) across the top production-grade capabilities to consider while evaluating an enterprise Kubernetes solution.

With DevOps teams moving at ever greater speed, it’s vital for security teams to be deeply involved at all stages of the software development and delivery lifecycle. Breaking down silos between development, operations, and security teams ensures that security considerations are not overlooked, that vulnerabilities are caught early, and that security checkpoints do not slow down the delivery process.

Get ready to collaborate with your team on a whole new level. While Git is amazing at tracking changes over time and giving us insight into the past, it’s not so great at helping you see what changes others are currently making or who is assigned to work on what parts of the code on any given project. Wouldn’t it be great to get better insight into what others on your team are actively working on, without ever switching applications? We could not agree more! Announcing GitKraken v7.7.

For a successful cloud migration, creating (and later refining), a cloud migration strategy tailored to your organization’s goals, available resources, workloads, and priorities is an absolute necessity. So here, we’ll take a look at a simple list of the areas you’ll need to quantify and understand to build that strategy and then improve it as you move forward through the cloud migration process.