Operations | Monitoring | ITSM | DevOps | Cloud

Imagine having the ability to instantly know when a Kubernetes compliance or security violation occurs. Now you can with Shipa Insights. Coupling Shipa Insights with the robust notification and alerting capabilities of PagerDuty makes this very possible. Shipa has the capability of sending fine-grained events externally e.g to PagerDuty. Now with the power of Shipa Insights, you have the capabilities to alert on policy violations. Let’s take a look at gettings started.

I recently published a couple of blog posts about what happens when you invest in a thoughtful incident management strategy and three first steps to take to do so. What I’m getting at in these posts is that we need a shift toward proactivity in the software operators community. I’d wager most of the world is responding to incidents as they happen, and nothing more.

Amazon Web Services (AWS) provides three types of Elastic Compute Cloud (EC2) instances; On-Demand Instances, Reserved Instances (RIs), and Spot Instances. EC2 On-Demand instances are the default and most expensive instances. RIs and Spot instances offer discounts of up to 72% and 90% on On-Demand instances, respectively. The Reserved Instances are long-term commitments that guarantee you compute power for a year or three. Spot instances fluctuate in price and availability constantly.

A month ago, we introduced unsupervised ML & Anomaly Detection in Netdata, the Anomaly Advisor. Today, we’re happy to announce that we’re bringing anomaly rates to every chart in Netdata Cloud. Anomaly information is no longer limited to the Anomalies tab and will be accessible to you from the Overview and Single Node View tabs as well. This will make your troubleshooting journey easier, as you will have the anomaly rates for any metric available with a single click.

When we came across Dotan’s article “Observability Is a Data Analytics Problem” on LinkedIn, he got our full attention. We totally agree with his views on observability and data analytics.

CI/CD systems follow a multi-tiered environments pattern: development, testing, staging, and production release are all part of this process. Each setting in this cycle could have a variety of set ups and configurations. As a result, having to set up separate configurations for different environments could be inconvenient and burdensome. In this tutorial, we will take a look at what Docker is and how it has freed developers from set-up problems and port clashes.

The gap between top and low-performing engineering teams is dramatic, whatever angle you look at it from. Whether you analyze their tech stacks and architecture choices, performance metrics, or cultural and team elements, the delta tends to be quite impressive. Despite the wide range of approaches, a few indicators paint a clear picture of the typical characteristics of a well-oiled setup.