Operations | Monitoring | ITSM | DevOps | Cloud

Kubecost and Cast AI promise real-time Kubernetes cost monitoring. Both deliver this to a good extent. For example, Kubecost provides cost data from within and outside a K8s cluster. It also shares the data in a granular format, such as cost by Kubernetes concepts like namespaces, pods, and custom labels. Cast.ai offers several similar capabilities, including cost savings recommendations, and is currently available for AWS, Google Cloud, Azure, and on-prem Kubernetes.

In the world of container orchestration, Kubernetes has become the de facto standard. Despite its simplicity in some respects, it has also introduced new levels of complexity in the deployment and management of distributed applications and services. To assist you with understanding the most common kubectl commands & plugins, we've created a cheat sheet as a reference for operations engineers, software engineers, and cloud infrastructure managers who use Kubernetes primarily.

Have you ever wished that software development could be faster and focused on quality? Then DevOps may be the answer for your organization. DevOps is a set of practices that combine software development and IT operations to facilitate collaboration between teams. The industry is constantly evolving, and new tools are being introduced daily. With so many options, it can take time to determine which ones are worth your time and money.

Bringing the power of quantum encryption to the cloud, we take a look at the emerging technology that’s changing how we protect our data.

The automotive industry is facing one of its biggest revolutions since the advent of automation. In this post, we will go through the Industry 4.0 aspects and how OEMs can turn these challenges into opportunities. To put it simply, the first Industrial Revolution relied on steam power, the second one on electricity and the third one on computers. What about the fourth Industrial Revolution everyone is talking about? I would describe it as a data-driven revolution.

Testing in production carries a lot of risk, like possibly causing downtime for users. However, the advantages of using real user traffic are many, which has led to the popularity of traffic mirroring. Mirroring can be implemented as part of pre-deployment testing, as well as other parts of the developer experience like the development itself. But, how do you get started with it?

We’ve written a ton of content about how to unlock the value of frequent deployments for your database as well as applications, from improved coding patterns to strategies for architecting smaller deployments. But the multi-million-dollar question for you and your business is something else entirely: what is the real business value of frequent deployments? That’s the question I’m going to address in this series of three posts.

Most SaaS products have nice, organic growth when they work well. Employees log in, they click around and make stuff, then they share links with others who do the same. After a few weeks or months, there are thousand of objects. Some are abandoned, and some are mission-critical. Different people also bring different perspectives, so they name things that are relevant to their role and position in the team, which may be confusing to others outside their realm.