6 posts

100 days of MLOps

10 min read
Model Monitoring in MLOps: Tools, Metrics, and Best Practices
Nimesha Jinarajadasa
Nimesha Jinarajadasa
Nimesha Jianrajadasa is a DevOps & Cloud Consultant, K8s expert, and instructional content strategist-crafting hands-on learning experiences in DevOps, Kubernetes, and platform engineering.
Jun 7, 2026 • 100 days of MLOps • MLOps • DevOps Monitoring Tools
11 min read
How to Automate ML Workflows with GitHub Actions and Jenkins
Nimesha Jinarajadasa
Nimesha Jinarajadasa
Nimesha Jianrajadasa is a DevOps & Cloud Consultant, K8s expert, and instructional content strategist-crafting hands-on learning experiences in DevOps, Kubernetes, and platform engineering.
Jun 7, 2026 • 100 days of MLOps • Jenkins • github actions
13 min read
CI/CD for Machine Learning: Best Practices and Tools (2026 Guide)
Nimesha Jinarajadasa
Nimesha Jinarajadasa
Nimesha Jianrajadasa is a DevOps & Cloud Consultant, K8s expert, and instructional content strategist-crafting hands-on learning experiences in DevOps, Kubernetes, and platform engineering.
Jun 6, 2026 • 100 days of MLOps • CI/CD Pipeline • github actions
15 min read
Deploying Machine Learning Models with Docker and Kubernetes: The Complete 2026 Guide
Nimesha Jinarajadasa
Nimesha Jinarajadasa
Nimesha Jianrajadasa is a DevOps & Cloud Consultant, K8s expert, and instructional content strategist-crafting hands-on learning experiences in DevOps, Kubernetes, and platform engineering.
Jun 4, 2026 • 100 days of MLOps • Docker and Kubernetes • MLOps
13 min read
Using Kubernetes for MLOps
Nimesha Jinarajadasa
Nimesha Jinarajadasa
Nimesha Jianrajadasa is a DevOps & Cloud Consultant, K8s expert, and instructional content strategist-crafting hands-on learning experiences in DevOps, Kubernetes, and platform engineering.
May 29, 2026 • Kubernetes • MLOps • 100 days of MLOps
13 min read
Top MLOps Tools in 2026
Nimesha Jinarajadasa
Nimesha Jinarajadasa
Nimesha Jianrajadasa is a DevOps & Cloud Consultant, K8s expert, and instructional content strategist-crafting hands-on learning experiences in DevOps, Kubernetes, and platform engineering.
May 22, 2026 • ML Ops • DevOps • Kubeflow