A List of critical #AWS services and their limitations 👇
1. EC2 – Instance limits by region, instance type restrictions. 2. RDS – Max database storage limits, instance size restrictions. 3. S3 – Max object size is 5TB, bucket policies can limit access. 4. EBS – Volume size max of 64TB, 20,000 IOPS for io1/io2 volumes.
5. IAM – Max 5,000 roles per account, policy size limits. 6. Lambda – Max execution timeout of 15 minutes, memory max 10GB. 7. DynamoDB – Partition throughput limits, item size max of 400KB. 8. CloudFormation – 200 resources limit per stack.
🧵 Mastering Docker Troubleshooting: 15 Key Tips for Developers and DevOps Engineers!
A Thread 👇👇
1/ 🐳 Check Container Status
Use docker ps -a to view all containers and their statuses. A container may have exited unexpectedly.
Look at STATUS and RESTART policies to identify potential issues.
2/ 🔍 Inspect Logs
Run docker logs <container_name> to see the container logs.
This helps troubleshoot crashes, errors, or other issues within the app or service.
🌐 Control traffic flow between pods using Network Policies. Limit communication to what's needed, reducing the attack surface.
Example: A policy that only allows inbound traffic from specific pods:
1️⃣ Kubernetes Overview:
K8s is like the conductor of an orchestra, managing containerized apps across multiple machines. 🎻
Example: You have a web app, API, and database, all in different containers—K8s ensures they play in harmony. 🎶
2️⃣ Nodes & Clusters:
A Cluster is like a city, with Nodes as buildings. The Master node is City Hall 🏛️, directing Worker nodes (buildings) 🏢 that run containers (apps).
Example: The cluster ensures all apps have power and connectivity! ⚡