What does DevOps look like in the future? An attempt to talk about DevOps and its future. The presentation takes a pragmatic view around DevOps in next few years

1. DevOps for Tomorrow
14-OCT-2017

2. What is DevOps ?
This is a two year old question….

3. • Amazon, the leader in public cloud infrastructure, releases on average twice per second
• Etsy, the leading peer-to-peer e-commerce marketplace, went from deployments that took
hours to deploying changes 50 times per day
• Ticketmaster, the world’s leading ticketing company and one of the world’s top 10 e-
commerce sites, deploys to production at the end of every sprint or multiple times per sprint
• Netflix, disrupter of the entire cable and TV industry and responsible for about 30% of North
American internet traffic, deploys thousands of times daily
• Nordstrom, a leading fashion specialty retailer with 323 stores in the U.S., increased the pace
of releases to monthly from just twice per year
• Allstate, the largest publicly held personal lines property and casualty insurer in the U.S, is
now delivering new applications in half the time it took to deploy a single new feature
• Coca-Cola, the world’s third most valuable brand, has accelerated project delivery by up to
50% and cut defects in production by up to half
Today

4. State of
DevOps
Report 2016

5. Popular Frameworks say “DevOps is not optional”

6. Today
DevOps is no longer a mere fad or buzzword, but an
understood set of practices and cultural patterns.
People turn to DevOps not just to improve daily
working life and get time back for family, friends and
beer, but to improve their organisation’s performance,
revenues, profitability and other measurable outcomes.
Source : 2016 State of DevOps Report

7. What Next?

8. • Investments in DevOps will begin to yield higher
returns
• DevOps practices will become better defined, and
there will be less confusion across industries about
exactly what DevOps is
• DevOps becomes more industrialised, we will see
DevOps incorporated into formalised training and
integrated into university curriculums
Today & Tomorrow

9. • Big Data and DevOps together takes a step
forward in predictive analysis
• AI and deep learning algorithms will create data
management challenges for DevOps
• More security issues will crop up
Tomorrow

10. In few years, we may not be using the term
“DevOps”