Operations | Monitoring | ITSM | DevOps | Cloud

ArgoCD is widely recognized for its GitOps-based approach to continuous delivery on Kubernetes. It provides powerful features for managing Kubernetes deployments, but its complexity can be daunting. If you’re looking for an alternative that offers a more opinionated, user-friendly approach with enough flexibility for custom configurations, Qovery might be the solution you need. Here’s why many DevOps engineers prefer Qovery over ArgoCD.

In the article, we demonstrate using the Devart Python Connector for Snowflake how to connect to the Snowflake database within the Anaconda tool.

As the digital age progresses, businesses are increasingly turning to artificial intelligence (AI) to stay competitive and innovative. Among the various branches of AI, Generative AI (GenAI) has been rapidly adopted due to its immense potential to transform business operations.

You’re not alone if you’ve had trouble understanding Amazon DynamoDB pricing. Getting a handle on DynamoDB costs can be complex and tedious. But with the right tools and resources, it doesn’t have to be. In this bookmarkable guide, we’ll break it down step-by-step so you can tell what drives DynamoDB costs.

When it comes to reliability, cloud providers use a Shared Responsibility Model. In essence, they’ll keep the infrastructure reliable, while you’re responsible for architecting reliability into your systems. To help make this easier, they’ve published a variety of best practice guides, such as the AWS Well-Architected Framework. These lengthy documents are filled with recommendations to help you architect a more secure, more reliable system.

Michal Vaško is a DevOps engineer at cloudWerkstatt, with a passion for open source technology and a deep love for observability. While operations or platform teams have long relied on visibility into metrics to react swiftly, the idea of doing the same thing with logs was once just a dream. Thankfully, Grafana Loki has revolutionized the logging stack, giving you the same level of visibility with logs that you get with metrics.

As a full-stack developer working on complex web applications, I often face challenges with tracking code changes, understanding commit histories, and managing branches. GitLens for VS Code has completely changed how I handle these tasks. It helps me quickly identify who made changes, when they were made, and why, all without leaving my editor, saving me countless hours of digging through commit logs and trying to piece together a project’s history.

Ths single most important thing to get better at your software monitoring journey.