Embracing Docker simplicity - while harnessing platform power
summary
Builds an API and web image, uses Docker Compose networking to connect them, pushes images to Docker Hub with CI auto-builds, and runs a demo on Azure Container Instances and App Service. Spins up a Swarm cluster (1 manager, 3 agents), tries a 5GB memory constraint and shows scheduling failures when resources are exhausted, then scales a DC/OS service to 4 instances via Marathon load balancer. Shows ECS self‑healing (failed rollout retries until corrected) and GKE/Kubernetes live vs ready probes, runs a million‑request load test that triggers container density and node autoscaling.
AI-written summary · about
chapters (20)
- 0:00Start
- 1:30How Do I Choose the Right Approach or Platform
- 3:47Docker 101
- 4:40Docker File
- 5:14Docker Build
- 17:28Pushing to the Registry
- 26:28Pre Container Platform Deployments
- 27:22App Services
- 34:44Core Features
- 35:01Auto Scaling
- 40:59Scheduling
- 44:53Orchestration Ui
- 48:57Marathon Load Balancer
- 58:45Amazon and Google Container Engine
- 1:00:51Health and Recovery
- 1:05:14Auto Scale
- 1:09:52The Load Test
- 1:12:45Health Checks
- 1:13:46Kubernetes Dashboard
- 1:16:54Business Value
related talks
01h 06mSo many Docker platforms, so little time...
01h 07mDocker Containers on Azure - let me count the ways
01h 03mScaling Docker Containers using Kubernetes and Azure Container Service
44mFrom single container to applications at scale
37mContainer Service: Not Only
56mResilient Java based microservices with Kubernetes
35mBuilding Apps with Containers, Functions and Managed Services
34mRunning a DevOps style production Docker cluster using the Microsoft platform