The latest News and Information on DevOps, CI/CD, Automation and related technologies.
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.
Application developers have a choice between two main categories of database: SQL (Structured Query Language) and NoSQL (Not Only SQL). SQL databases, also known as relational databases, have been in use for over 40 years. Despite their age, SQL databases remain extremely popular with developers. Of the top 10 results on DB-Engines’ list of most popular database management systems in September 2021, six were relational, or SQL-based.
