Operations | Monitoring | ITSM | DevOps | Cloud

Legacy monitoring tools fall short for SRE teams and DevOps pros tasked with maintaining uptime of key applications in modern, cloud-based IT systems. To have visibility and control over these environments, these teams must collect and analyze more granular, underlying system information — observability data. This article explains why the only way for SRE teams and DevOps pros to extract the necessary insights from this data is through the application of AI capabilities.

As part of Rancher 2.5, we are excited to introduce a new, simpler way to install Rancher called RancherD. RancherD is a single binary you can launch on a host to bring up a Kubernetes cluster bundled with a deployment of Rancher itself. This means you just have one thing to manage: RancherD. Configuration and upgrading are no longer two-step processes where you first have to deal with the underlying Kubernetes cluster and then deal with the Rancher deployment.

Amazon EKS is the most popular managed Kubernetes solution. DevOps teams can quickly spin up clusters in the cloud and get started with Kubernetes in a few clicks. As organizations embrace Kubernetes in the cloud, the challenge becomes managing clusters across multiple regions or accounts. At that point, organizations struggle to visualize all of their clusters.

Despite the lockdown restrictions of the last six months, I'm delighted to announce that we've released Rancher 2.5 on schedule today. This latest release represents another major milestone of Rancher's "Computing Everywhere" strategy by delivering management capabilities that match the extraordinary popularity of Amazon EKS and our lightweight Kubernetes distribution, K3s.

The ability of Kubernetes to easily deploy and manage containerized software has given organizations tremendous capabilities in their cloud services, with clusters multiplying into the hundreds or thousands and extending out to the edge for any number of purposes. But its growing popularity has also led to challenges in managing complexity in an environment that is conducive to cluster sprawl.

In this article, you will learn how to add inline image scanning to a Google Cloud Build pipeline using the Sysdig Secure DevOps platform. We will show you how to create a basic workflow to build your container image, scan the image, and push it to a registry. We will also customize scanning policies to stop the build if a high-risk vulnerability is detected.

Use the HAProxy load balancer to redirect users from HTTP to HTTPS automatically. For decades, our lives have become increasingly dependent on sending and receiving data from across the Internet. Now, with more people working, studying, and hanging with friends remotely, that trend is showing an uptick. Yet, adversaries seem to be grasping at that communication from every direction.

Continuous integration and continuous delivery (CI/CD) pipelines have become fundamental to modern software development and code deployment. Implementing CI/CD practices can let teams deploy code more quickly and efficiently. But with these methods come a number of new challenges: bad code deploys are a major source of downtime and can lead to a loss of revenue and customer trust.

The move to a multi-cloud environment brings with it many new considerations for an enterprises. Among those is a new approaching to networking. In our recent webinar, Jay Turner, Vice President of Development and Operations, and Neil Templeton VP, Marketing at PCCW Global, looked at some of the common challenges facing enterprises as they connect to more clouds, and identified some new ways to manage these connections more effectively. Here’s some of the tips you might have missed…