Eco-DevOps - Building a Greener Future
summary
Claims concrete savings: 73% of cloud workloads can be optimized by rightsizing, autoscaling and spot instances, and Cloud Carbon Footprint metrics enable datadriven tradeoffs. Practical fixes include query and code optimisation, caching and compression to cut network and CPU use, increasing container density over VMs, trimming CI agents and tests, and using data centers powered by renewable energy which Google reports can halve carbon footprints. Infrastructure as code and hardware reuse round out measurable actions.
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chapters (10)
- 0:00Introduction and background
- 0:35The environmental impact
- 1:05Defining eco-devops
- 1:20Assessment and optimization
- 1:50Efficient coding and pipelines
- 2:20Containerization and monitoring
- 2:50Green data centers and open source
- 3:20Operational best practices
- 3:50Infrastructure and circularity
- 4:20Scaling impact and conclusion
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