The Future of DevOps in the Enterprise: Trends & Predictions
summary
Enterprises face measurable pressure: average infrastructure failure costs ~$100,000/hour and mission‑critical outages $500k–$1M/hour, so tooling and process changes aim to cut that. Analysts and vendors flag application release automation as the top DevOps investment (Gartner: 10%→50% enterprise adoption by 2020) and report high performers deploy 200× more often with 24× faster recovery. Adoption of containers and microservices hits ~25% production by end‑2016, driving hybrid pipelines. Vendor responses include Electric Flow 7.1 with an abstraction over Kubernetes/ECS/Docker, shift‑left testing, service virtualization, test acceleration and predictive analytics.
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chapters (23)
- 0:00Intro
- 0:19Who is Electric Cloud
- 1:04Why is DevOps important
- 3:05Business disruption is rampant
- 4:04Cost of not changing
- 5:51Trends Predictions
- 6:47DevOps Adoption
- 7:34Enterprise Challenges
- 9:38Broad Enterprise Adoption
- 10:12Gartner DevOps Survey
- 10:47Why Application Release Automation
- 11:03gartner report
- 12:55Containers Microservices
- 13:44What do you need
- 16:06Electric Flow 71
- 17:29Shifting Left
- 19:34Secure DevOps
- 20:16Best of Breed Tools
- 21:16Predictive Analytics
- 22:21Organization Process
- 22:38Culture
- 23:41Agile DevOps
- 24:43Breaking down silos
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