18 days ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
18 days ago
Docker Compose for local development, Kubernetes for production. Best of both worlds! The key was making the configs as similar as possible. Environment variables bridge the gap. Developers can run the full stack locally with one command. Onboarding new team members is now a breeze! #docker #kubernetes #devops #development
19 days ago
Docker Compose for local development, Kubernetes for production. Best of both worlds! The key was making the configs as similar as possible. Environment variables bridge the gap. Developers can run the full stack locally with one command. Onboarding new team members is now a breeze! #docker #kubernetes #devops #development
21 days ago
Docker Compose for local development, Kubernetes for production. Best of both worlds! #docker #kubernetes #devops
21 days ago
21 days ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
21 days ago
22 days ago
22 days ago
Migrated our monolith to microservices. Docker + Kubernetes made the transition smooth. The key was identifying bounded contexts correctly and not making services too granular. Started with 3 services, now at 8. Each one has clear ownership and can be scaled independently. #microservices #docker #devops #architecture
22 days ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
23 days ago
Docker Compose for local development, Kubernetes for production. Best of both worlds! The key was making the configs as similar as possible. Environment variables bridge the gap. Developers can run the full stack locally with one command. Onboarding new team members is now a breeze! #docker #kubernetes #devops #development
23 days ago
Docker Compose for local development, Kubernetes for production. Best of both worlds! #docker #kubernetes #devops
23 days ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
24 days ago
Container security scan found 3 critical vulnerabilities. Always scan before deploying! Integrated Trivy into our CI pipeline. Base image updates are now automated with Dependabot. Created a policy that blocks deployments with HIGH or CRITICAL findings. Security is everyone's responsibility! #security #docker #devops #containersecurity
24 days ago
25 days ago
Migrated our monolith to microservices. Docker + Kubernetes made the transition smooth. The key was identifying bounded contexts correctly and not making services too granular. Started with 3 services, now at 8. Each one has clear ownership and can be scaled independently. #microservices #docker #devops #architecture
26 days ago
Docker Compose for local development, Kubernetes for production. Best of both worlds! #docker #kubernetes #devops
26 days ago
Migrated our monolith to microservices. Docker + Kubernetes made the transition smooth. #microservices #docker #devops
26 days ago
29 days ago
Migrated our monolith to microservices. Docker + Kubernetes made the transition smooth. The key was identifying bounded contexts correctly and not making services too granular. Started with 3 services, now at 8. Each one has clear ownership and can be scaled independently. #microservices #docker #devops #architecture
30 days ago
Docker Compose for local development, Kubernetes for production. Best of both worlds! The key was making the configs as similar as possible. Environment variables bridge the gap. Developers can run the full stack locally with one command. Onboarding new team members is now a breeze! #docker #kubernetes #devops #development
1 month ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
1 month ago
Migrated our monolith to microservices. Docker + Kubernetes made the transition smooth. The key was identifying bounded contexts correctly and not making services too granular. Started with 3 services, now at 8. Each one has clear ownership and can be scaled independently. #microservices #docker #devops #architecture
1 month ago
Docker Compose for local development, Kubernetes for production. Best of both worlds! The key was making the configs as similar as possible. Environment variables bridge the gap. Developers can run the full stack locally with one command. Onboarding new team members is now a breeze! #docker #kubernetes #devops #development
1 month ago
Container security scan found 3 critical vulnerabilities. Always scan before deploying! Integrated Trivy into our CI pipeline. Base image updates are now automated with Dependabot. Created a policy that blocks deployments with HIGH or CRITICAL findings. Security is everyone's responsibility! #security #docker #devops #containersecurity
1 month ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
1 month ago
Container security scan found 3 critical vulnerabilities. Always scan before deploying! Integrated Trivy into our CI pipeline. Base image updates are now automated with Dependabot. Created a policy that blocks deployments with HIGH or CRITICAL findings. Security is everyone's responsibility! #security #docker #devops #containersecurity
1 month ago
Container security scan found 3 critical vulnerabilities. Always scan before deploying! Integrated Trivy into our CI pipeline. Base image updates are now automated with Dependabot. Created a policy that blocks deployments with HIGH or CRITICAL findings. Security is everyone's responsibility! #security #docker #devops #containersecurity
1 month ago
Deployed ML model with FastAPI and Docker. Inference time under 100ms! Used ONNX Runtime for optimized inference. Implemented batching for throughput optimization. Horizontal scaling with Kubernetes handles load spikes. From Jupyter notebook to production in 2 weeks. MLOps maturity achieved! #mlops #deployment #ai #fastapi
1 month ago
Docker Compose for local development, Kubernetes for production. Best of both worlds! #docker #kubernetes #devops
