Operations | Monitoring | ITSM | DevOps | Cloud

When evaluating CI/CD platforms, it can be easy to view them as commodities — interchangeable tools that accomplish the same basic tasks. But as development teams scale, small differences in platform performance can be compounded, significantly impacting development velocity and resource utilization. To better understand these differences, we conducted a head-to-head comparison between CircleCI and GitHub Actions, focusing specifically on performance at enterprise scale.

These two types of peering relationship may seem similar at first glance, but there are a few considerations you should make to get the most out of your connection to an IX. When you join an internet exchange, the first thing you’ll need to do after physically connecting is establish some BGP sessions in order to get traffic flowing and to start enjoying the benefits of peering at an IX.

In the early days, people debated how safe it was to store their money in the bank; now, we debate running databases on Kubernetes. Over the years, Kubernetes has evolved significantly, transforming into a capable platform for handling various workloads, including stateful ones. In this blog, I will consolidate some of the best arguments from both sides and provide you with some points to discuss with your team lead in your next conversation. It's an interesting topic with varying answers.

Jenkins is the backbone of many CI/CD pipelines, automating builds, tests, and deployments at scale. However, when handling high-traffic workloads, such as during peak development hours, large-scale deployments, or parallel builds and pipelines, Jenkins can quickly become a resource hog, leading to slow builds, queue backlogs, and even system crashes. Optimizing resource usage is essential to ensure smooth, efficient, and scalable performance.

One of the biggest causes of outages and incidents is good old-fashioned human error. Despite all of our best intentions, we can still make mistakes, like forgetting to change defaults, making small typos, or leaving conflicting timeouts in the code. It’s why 27.8% of unplanned outages are caused by someone making a change to the environment. Fortunately, reliability testing can help you catch these errors before they cause outages.

AWS cost monitoring tools enable you to track your resource consumption and costs associated with running operations on the AWS platform. These tools vary in capabilities but typically offer customizable reporting, dashboarding, data analytics, built-in automation, and cost alerting. Keep in mind that AWS monitoring differs from AWS management in that monitoring provides usage and cost data without necessarily offering optimization tools.