Dammam aws user group meetup
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This document provides an agenda and materials for a presentation on containerizing applications. The agenda includes check-in and updates, a presentation on why to containerize apps, demos and container labs, and a discussion of next steps. The presentation materials explain what containers are, their advantages over virtual machines like improved resource utilization and portability. Open source tools for containers like Docker and Kubernetes are also discussed. There are demos of building Docker images and running containers, as well as how orchestration tools can automate deployment and management of containerized apps.
Dammam aws user group meetup
- 1. Agenda : 6:00 – 6:15 Check-in and networking 6:15 – 6:20 Updates 6:20 – 6:50 Why Containerize your app Break 7:05 - 7:30 Demos, Container labs Break 7:35 - 8:00 What's Next? More labs
- 7. What is a Container? Packaged Software into Standardized Units for Development, Shipment and Deployment.
- 8. Dev vs Ops
- 9. Shared Host vs VM & Container Shared Host Virtual Machines Containers No Isolation Common libraries Highly coupled with OS Isolation No Common libraries Expensive & inefficient Hard to manage Isolation No Common libraries Less overhead Less dependency of OS
- 10. Look at this anther way … with RAM 2GB4GB Total RAM assigned to VMs: 33GB Total RAM actually used in the VM: 21.5GB RAM wasted, 11.5GB Virtual Machine Total RAM actually used: 21.5GB RAM available for other containers: 11.5GB, or can RAM wasted, 0GB Containers 1GB5GB 2.5GB3.5GB 2GB3GB 4GB6GB 4GB 5GB 3.5GB 3GB 6GB If 1 GB of RAM is 10$ per month, you are wasting 1380$ per year
- 11. So why containerization? Resource utilization Easily Scalable & Updatable PortabilityFast Lightweig ht
- 12. Open Source Tools Docker Engine Docker Registry Portainer KubernetesOKD PodMan
- 13. Grafana File, image & container
- 14. Discussio n
- 15. Grafana Dockerfile docker build -t image_name:tag_name .
- 16. Grafana File, image & container
- 17. Grafana Update Images Images can be updated by editing the existing Dockerfile. rebuild a new image with a new version. Re run a container. Dockerfile-v2 Image-v2 Edit Rebuild
- 18. Demo
- 19. The Orchestrator will take care Master Node Worker Node Worker Node Worker Node A tool that automates the deployment, management, scaling, networking, and availability of container-based applications. Replicas Restart Which node? Resources? Scaling Health Check
- 21. Grafana CD & Containers Triger / Pull Git push Build Image Deploy
- 22. Thank you