Operations | Monitoring | ITSM | DevOps | Cloud

In this fourth session in our DevOps 101 series, we’re going to delve into Database DevOps specifically. But before we get going, I just want to do a quick check to make sure we’re all on the same page. Donovan Brown’s definition of DevOps seems to have been adopted by almost everyone nowadays because it’s very clear: “DevOps is the union of people, process, and products to enable continuous delivery of value to our end users”.

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.

Implementing change in an organization always has its challenges, and for it to be successful it requires support from executive management. For one of our large Managed Service Provider (MSP) clients, their new CIO was focused on making their customer’s cloud consumption more efficient, with the outcome being cost savings.

Audit Logs automatically record all user activities across all of your applications and team members. Audit Logs provide all the information you need to assess changes made to your account, such as IP address, date and time (displayed in your timezone), geo-location (accurate to the city), and the team members involved.