The waiting can be intensely stressful. You are mid-way through a critical production upgrade during the weekend. The schedule is tight. Suddenly there is an unexpected problem you aren’t able to resolve. You need help. So, you call in a support ticket. And that’s when the waiting starts. While you’re waiting for the support team to review and get back to you, questions race through your mind: How quickly will they respond to the ticket?

Severity and priority can be challenging for a company to nail. When an incident is declared, it's essential to have a system to define the impact and how urgently it should be handled. Incident severity and priority are the two knobs teams can leverage to define scope and urgency, and eventually, the appropriate process to take action. But how should we define them, and what are the differences?

Change is critical to growth. Especially if you’re running a business in today’s volatile market. The silver lining is that we are at the peak of innovation, moving forward from a decade filled with disruptions, catalysing transformations. Over the years, enterprise IT has evolved to play a more significant role in business. Innovation, macro-economic factors, unexpected disruptions, and other internal and external factors have caused the change.

Software development no more emphasizes “final delivery” or deployment of a project. It is more about “continuous delivery and integration” today. The market also demands rapid delivery and updates without missing out on elements like ‘quality’ and ‘innovation.’ So, instead of building a super-robust well-tested product at once, developers focus on faster and bug-free releases to create a reliable product over time.

Today we are going to explore getting started using Argo CD. This post is going to assume you know a bit about containers, and that you already have an empty cluster in place (or know how to create one). If any of this is unfamiliar, head over to Understanding the Basics to get a bit of practice. Before we get started, let’s talk about GitOps.

Running Apache Spark applications on Kubernetes has a lot of benefits, but operating and managing Kubernetes at scale has significant challenges for data teams. With the recent addition of Ocean for Apache Spark to Spot’s suite of Kubernetes solutions, data teams have the power and flexibility of Kubernetes without the complexities. A cloud-native managed service, Ocean Spark automates cloud infrastructure and application management for Spark-on-Kubernetes.

Over the last five years, Redgate’s annual State of Database DevOps Report has provided valuable insights into how and why DevOps is being adopted, along with the drivers for introducing it for both application and database development, and the obstacles businesses and organizations face.

The simplest way to manage and organize your Go dependencies is with a Go Repository. You need reliable, secure, consistent and efficient access to your dependencies that are shared across your team, in a central location. Including a place to set up multiple registries, that work transparently with the Go client. With the JFrog free cloud subscription, including JFrog Artifactory, Xray and Pipelines, you can set up a free local, remote and virtual Go Registry in minutes.