Latest blog posts by Tomasz Stachera

Discover how the Airflow Celery Executor enables scalable, efficient data pipelines by distributing tasks across multiple workers. Learn about its benefits, challenges, and how the new CeleryKubernetes Executor in Airflow 2.0 combines the strengths of Celery and Kubernetes for even greater flexibility in workflow orchestration.

Kubernetes and Rancher are complementary tools for container management. Kubernetes orchestrates workloads within clusters, while Rancher simplifies the management of multiple clusters, offering centralised control, security, and automation. Combining both solutions boosts efficiency and scalability for enterprise DevOps teams.

Apache Airflow’s SLA feature helps teams monitor task and workflow performance by sending alerts when execution times exceed set limits. This ensures efficient, reliable data pipelines and enables quick responses to issues.

Apache Airflow is a powerful, open-source workflow orchestration tool for managing data pipelines, automated reporting, and machine learning workflows. This article explains its features, use cases, and why it’s a key component in modern data engineering and DevOps environments.

Kubernetes streamlines cloud-native application deployment, scaling, and management. This article details its business benefits, key features, and why Kubernetes is a top choice for efficient, flexible, and cost-effective digital product development.

Facing Docker removal as a Kubernetes runtime? Discover why Kubernetes is deprecating Docker support, how CRI and Containerd replace Dockershim, and learn migration steps to maintain seamless container orchestration.