Operations | Monitoring | ITSM | DevOps | Cloud

Since 2018, Watchdog has provided automatic anomaly detection to notify you of performance issues in your applications. Earlier this year, we introduced Watchdog for Infra, enhancing Watchdog to also monitor your infrastructure. We’re pleased to announce the latest enhancements to Watchdog, which now provides more visibility and greater context around the full scope of each application issue.

This is the third blog post in a series on “Smart Cities and Urban Environments” and the implications for networks & telecoms. About 55% of the world’s population lives in urban areas; for developed OECD countries the figure is about 80%. Urbanisation is good for economic and even environmental reasons, but brings challenges for transport, roads and personal mobility*.

With any huge task, more helpers make it go faster. That’s the solution large organizations increasingly seek for deploying large applications to hundreds of nodes. When others pitch in, many hands make light work. JFrog is pleased to introduce Peer-to-Peer (P2P) Distribution to help deliver content to huge K8s cluster runtime environments efficiently and at scale.

DevOps and SRE teams are under intense pressure to reduce the mean time to recovery (MTTR) when resolving incidents. With the proliferation of cloud services and the increasing complexity of DevOps toolchains, engineers today need to not only learn how to use these services, but also troubleshoot them when an incident is raised at 2 a.m. The problem is, many incident response processes are still manual today—cobbling together runbooks and ad hoc scripts and orchestrating people to respond.

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.