Operations | Monitoring | ITSM | DevOps | Cloud

It is impossible to overestimate the importance of a strong development environment when scaling your team’s capacity. Nowadays, most organizations use Git, and one of the popular and successful development models used by many organizations is Gitflow. When making use of such models, continuous integration (CI) is key as it enables faster project delivery and offers reduced risk and expenses thanks to self-managed and easy-to-control dedicated teams.

Every minute of server downtime can cost you serious revenue. 98% of organizations revealed that a single hour of downtime costs them over $100,000. The good news is that you can effectively prevent such losses with server monitoring software. Being a critical piece of your technical infrastructure, servers must be continuously tracked for their performance, and health. Efficient server monitoring lets you resolve issues before they become too critical.

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.

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.

"A long time ago in a data centre far, far away.... Our first episode takes us back to the early days of launching Civo, where we had a fledgling Ceph cluster with a bunch of SSDs in each. Those were darker times, in the early days of OpenStack. As time went by the cluster grew, new bigger nodes were added along with bigger disks.