The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Baking a delicious pizza in a wood-fired oven requires a combination of skill, experience and the right tools. The same is true for achieving optimal observability in a Kubernetes environment. In this post, we'll explore some of the lessons learned from baking pizza in a wood-fired oven and apply them to the world of Kubernetes observability.
When you are designing and building applications, you should consider how to monitor them once they become live. You do not want to be blindsided by errors and degrading performances as you operate them. When your applications fail to provide optimal performance, it can broadly impact your business. Engineers will often be distracted to investigate and fix the issues. Customers will complain. It can eventually hit your bottom line.
If you pick a random SaaS company out of a jar and go to their website, chance are they integrate with another tool. Typically, the end goal of integrations is to meet users in the middle by working with other tools they’re already using on a day-to-day. Put another way, integrations are a strategic business decision. But the question remains: why don’t companies just build a tool with similar functionality in order to make the product stickier?
When people hear ‘containers,’ they don’t immediately think about an IT solution that helps businesses create and distribute applications seamlessly. However, the container concept has been around for a long time, helping companies in various industries globally. Containers continue to change the landscape of app development and deployment. This guide below will help you understand containerization and the best orchestration tools to manage containers.
While AI seems to be the topic of the moment, especially in the tech industry, the need to make it happen in a reliable way is becoming more obvious. MLOps, as a practice, finds itself in a place where it needs to keep growing and remain relevant in view of the latest trends. Solutions like ChatGPT or MidJourney dominated internet chatter last year, but the main question is…What do we foresee in the MLOps space this year and where is the community of MLOps practitioners focusing their energy?
Azure native services are cloud-based solutions that are developed, managed, and supported by Microsoft. These services are designed to help organizations build and deploy applications on the Azure cloud platform, and take advantage of the scalability, security, and reliability of the Azure infrastructure. In this blog post, we’ll take a look at some of the key Azure native services that are available, and how they can be used to build and run cloud-based applications.
