Next Level Automation

DevOps for Machine Learning, or MLOps, is new on the scene. The differences between MLOps and mainstream DevOps practices are not yet widely understood. We can understand MLOps practices better by looking at the needs that drive them. Let’s consider what we see in advanced MLOps projects and what needs...
Sep 
9, 
2020

Database as a service roundup: AWS vs Azure vs Google Cloud

<div style="text-align: justify;">Today’s data landscape is overflowing with complex and sophisticated architectures, which can help you dynamically customize your digital ecosystem according to your project requirements and needs. Unfortunately, managing complex cloud architectures can be a difficult task, especially if you are trained to use one cloud vendor and not...
May 
13, 
2020

Silos are dead. Long live Silos

DevOps stresses the importance of breaking down silos. The truth is that you can’t actually get rid of silos; you can only realign them. Much of the anxiety caused by controversial topics such as “Enterprise DevOps” and “DevOps teams” reflects an incomplete understanding of the nature of large, complex organizations.

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Business & Company Culture

Navigate the Human Side of DevOps.

Cloud Platforms

Scale Your Cloud Apps with Terraform, Serverless & beyond.

DevSecOps & Cloud Security

Secure DevOps from code to cloud with shift-left practices and AI.

Containerization & the Kubernetes ecosystem

Kubernetes: from fundamentals to advanced edge deployments.

Continuous Integration & Continuous Delivery

Automate Your Processes: Build High-Performance CI/CD Pipelines.

System Design & Software Architecture

Build scalable microservices with cutting-edge tools and patterns.

Observability & Service Mesh

Discover how tools like Grafana, Cilium, and OpenTelemetry can transform app data.