Operations | Monitoring | ITSM | DevOps | Cloud

This past June, Puppet launched Puppet Practice Labs — free, hands-on, interactive tutorials you work through right in your browser — no downloads required. We launched with four step-by-step how-tos on using Puppet Enterprise and Bolt. Feedback was overwhelmingly positive. The biggest request we heard? More, please. Good news! We have a whole slew of new Puppet Practice Labs in development. We want to give you a sneak peek, but there’s a catch.

Josh Fetcher: “Product Hunt is a community where founders, product enthusiasts, and geeks go to check out the best new products and get attention for tech products that they've built.” If there is one sentence to define me it would be “done is better than perfect”. Saturday morning, after spent the last night released a new major version of our product while fixing bugs I came up with an idea: “Oh! It would be great time to make Qovery featured on Producthunt”.

Data application developers using Snowflake as the data warehouse and who are new to Kubernetes, spinning up a single cluster on their laptop and deploying their first application can seem deceptively simple. As they start deploying data-driven applications using microservices and Kubernetes in production, the difficulty increases exponentially. It quickly throws the developer into a kind of configuration hellscape that drives productivity down for many data engineering teams.

Nowadays, the efficiency of a company’s IT infrastructure is commonly measured in how often it can deploy new versions of the software. Faster, better deployments are one of the main goals of the DevOps mindset. Therefore, to not fall behind the competition, one needs to implement DevOps practices. But DevOps isn’t just about deploying fast and often. DevOps is a set of practices and tools that help deliver better-quality software faster. The “quality” is the key here.

There is no doubt that YAML has developed a reputation for being a painful way to define and deploy applications on Kubernetes. The combination of semantics and empty spaces can drive some developers crazy. As Kubernetes advances, is it time for us to explore different options that can support both DevOps and Developers in deploying and managing applications on Kubernetes?