Apache Airflow 3 has officially reached General Availability (GA) – and it’s ready for production use!
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Apache Airflow 3 has officially reached General Availability (GA) – and it’s ready for production use!
Have you ever wondered why so many people are turning to the Cloud these days? It’s because it helps us work faster and more conveniently, plus we don’t have to worry about managing servers ourselves anymore.
Have you ever found yourself staring at endless Groovy scripts, Terraform configurations, or Ansible playbooks—thousands of lines of complex code—just to manage your CI/CD pipelines and provision infrastructure on AWS or Azure? These tasks can be intellectually stimulating, but they are also time-consuming and energy-draining.
Anyone working in DevOps knows our jobs are full of endless tasks — from complex, brain-intensive work to small, repetitive chores that eat up time but are still necessary. Things like deploying applications, analyzing logs, investigating issues, or monitoring systems.
But today, AI-Powered DevOps is making our working lives so much easier.
Did you know that Jira can also be automated to save time and improve efficiency? By using Jira API together with Webhook, you can cut down on manual work and speed things up significantly…
Everything changed when I learned about Low-Code and No-Code DevOps. It was like having an assistant that makes the difficult tasks much easier and more accessible.
This article describes KEDA, a Kubernetes add-on that scales applications based on actual external workloads, rather than traditional CPU/Memory metrics. It highlights its key features of Proactive Scaling and Scale to Zero to enhance efficiency and optimize costs…
In today’s business landscape, success is not only about increasing sales or expanding into new markets. Companies must also ensure compliance with anti-money laundering (AML) regulations and conduct thorough checks against high-risk entities, such as those listed on Sanction Lists or classified as Politically Exposed Persons (PEPs)…
The initial adoption of AI in software development was primarily characterized by using AI as a coding assistant or as a tool to generate code in response to prompts entered by developers. The AI would create source code or fix errors according to instructions. While this increased coding speed, it lacked deep contextual understanding of the entire project. This approach, known as ‘prompt engineering’ resulted in AI-driven development lacking repeatability and traceability, leading to what’s called ‘vibe coding’ an unstructured development approach that may produce results inconsistent with project standards…
With increasing regulatory scrutiny and stricter compliance requirements in the financial sector, having a robust Automated Name Screening System has become essential for organizations seeking to reduce the risks of doing business with high-risk individuals or entities…
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