Operations | Monitoring | ITSM | DevOps | Cloud

Before continuous integration came to be, setting up builds was no fun because the complexity and overhead involved in a release cycle was compounded by inflexible, manual processes. The release cycle was slow and often resulted in breaking changes. Continuous integration and continuous delivery (CI/CD) has changed much of that through pipelines that automate how we build and test software—today, we can deploy, have builds fail, and resolve any errors faster than ever.

In an earlier blog post, we had discussed how server performance monitoring is not just about monitoring CPU, memory, and disk resources anymore. There is more to server performance monitoring than just three resources or metrics. That blog post covered several key performance indicators (KPIs) that IT teams must track to ensure that their servers are performing well. In this blog post, we focus on another KPI – server uptime.

The peering coordinator’s toolbox is a blog series where we dive deep into the peering coordinator workflow and show how the right tools can help you be successful in your role.

In a new episode of the Network AF podcast, your host Avi Freedman interviews Hank Kilmer, VP of IP engineering at Cogent. Hank has been running major internet backbones since the early 90s. He joined Cogent in 2011, and prior to that, held leadership positions with UUNET (now Verizon), Sprint, Digex, Abovenet and Terrapin Communications.

One of the core value propositions of AIOps platforms is to increase IT efficiency & productivity by applying AI & ML techniques to perform Alert Noise Reduction. This in turn translates to direct cost reduction due to savings in IT man-hours. In this approach, the AIOps platform kind of becomes like a gatekeeper for all the IT alerts/events, and it can help effectively, reduce and correlate such events, so as to send meaningful incidents to NOC or Service Desk.

Do you actually know what your customers are looking for? A way to uncover new business opportunities is to analyze your system, collect what you really need, and visualize it through a comprehensive graph! Log traces are a great place to start because they usually contain useful information on your customers' interests. You just need to transform them.