Operations | Monitoring | ITSM | DevOps | Cloud

In this episode, we chat with Omar Marrero, Chaos and Performance Engineering Lead at Kessel Run, a company at the forefront of delivering “combat capability that can sense and respond to any conflict in any domain, anytime, anywhere.” To say that Omar and Kessel Run are at the forefront is an understatement.

If you’re anywhere in the Queensland region of northern Australia, look out. There’s an eight-foot-nine-inch-long (2.65 meters) crocodile, deceptively named Danny-Boy, who might be looking for a snack. Specifically, if you’re anywhere near -12.975388, 141.987344, you should stay on your toes. That’s the last place Danny-Boy was sighted. So unless you want your pipes to be calling, keep your eyes peeled.

A variance analysis report is used to measure actual performance against your budgeted or planned performance. From a finance perspective, it’s essentially a way to measure your organization’s planning effectiveness. While there are a number of reasons you might be surprised by your variance analysis, it can be a signal that something went wrong along the way and you have not been collaborating with your team, are using the wrong tools, or have ineffective processes.

The widespread adoption of the cloud has transformed the way applications are developed just as much as it has transformed the way they are deployed and consumed. In this blog we look at how Network-as-a-Service (NaaS) can help developers support the complete application lifecycle by unlocking the value of PaaS (Platform-as-a-Service).

Load balancers play an important role in distributed computing. With load balancers, you can distribute heavy work loads across multiple resources, which allows you to scale horizontally. Since they are placed prior to computing resources, they need to endure heavy traffic and allocate it to the right resources fast. For this to happen, monitoring the health and performance of load balancers is key. In monitoring, visualization helps users to view various metrics quickly.

In monitoring, a target system or device is a deciding factor in designing your monitoring stack. You will have to consider various aspects starting from how you want to collect data in what frequency to how you want to surface metrics to end users. You will have to take this strategic approach when you want to monitor your network infrastructure. In this article, we will discuss how Grafana, an open-source visualization tool, can help you to monitor network switches.

We often talk about migrating applications to THE cloud, or running workloads in THE cloud, as if the cloud is one, homogenous environment. The reality is, of course, far more complex. There are private clouds and public clouds—and different public cloud service providers (CSPs) that each have their own particular capabilities and strengths. Modern, digitally transformed businesses usually leverage a combination of these clouds.

This is the second article in our series regarding FIPS 140 and Ubuntu. The first part of this series, this article, covers running FIPS 140 applications on Ubuntu while this part is focused on the development of FIPS 140 applications on Ubuntu.