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DevOps, containers &
microservices:
Separating the hype from the reality
Donnie Berkholz, Ph.D.
Research Director — Development, DevOps, & IT Ops
HP Discover London, Dec 2015
2
microservices
Today’s roadmap
3
Flickr: maguisso
The new
reality
DevOps Containers Microservices
Real-world
examples
Minimizing risk, maximizing agility
4
Source: Various custom 451 studies
The need
for speed
5
Source: 451 DevOps study, Q3 2014
Technology
adoption
is increasingly
bottom-up
6
Wikipedia: G.dallorto
App-dev workloads are quickly moving to the cloud
7
Current Future
59.0%
7.9%
14.2%
5.2%
6.6%
7.1%
On-Premises, Non-Cloud
Off-Premises, Non-Cloud
On-premises Private Cloud
Hosted Private Cloud
Infrastructure-as-a-Service
(IaaS)/Public Cloud
Software-as-a-Service (SaaS)
n = 146
37.3%
6.1%
19.1%
9.9%
15.2%
12.4%
n = 134
Source: 451 VotE Cloud, Q2 2015
App-dev workloads are quickly moving to the cloud
8
Current Future
59.0%
7.9%
14.2%
5.2%
6.6%
7.1%
On-Premises, Non-Cloud
Off-Premises, Non-Cloud
On-premises Private Cloud
Hosted Private Cloud
Infrastructure-as-a-Service
(IaaS)/Public Cloud
Software-as-a-Service (SaaS)
n = 146
37.3%
6.1%
19.1%
9.9%
15.2%
12.4%
n = 134
Source: 451 VotE Cloud, Q2 2015
App-dev workloads are quickly moving to the cloud
9
Current Future
59.0%
7.9%
14.2%
5.2%
6.6%
7.1%
On-Premises, Non-Cloud
Off-Premises, Non-Cloud
On-premises Private Cloud
Hosted Private Cloud
Infrastructure-as-a-Service
(IaaS)/Public Cloud
Software-as-a-Service (SaaS)
n = 146
37.3%
6.1%
19.1%
9.9%
15.2%
12.4%
n = 134
Source: 451 VotE Cloud, Q2 2015
The new stack?
10
An infinite array of possible stacks.
DevOps:
Putting IT into high gear
11
12
What in the world
is DevOps, anyhow?
13
Agile, truly tip to tail
Business to customer
3 pillars of DevOps
14
Culture
Automation
Measurement
15
Culture:
Tear down all the silos
Flickr: kalandrakas
16
Flickr: respresFlickr: hartvig, snapeverything, roymaloon
Automation:
Pets vs Cattle
Automation: Infrastructure as code
17
Wikipedia: Magnus Manske
Knight Capital and the $460 million bug
18
Wikipedia: Jericho
Continuous delivery
19
Source: continuousautomation.com
Measurement: #monitoringsucks/monitoringlove
20
3 pillars of DevOps
21
Culture
Automation
Measurement
Enter containers:
The future of virtualization
23
Aren’t they just like VMs? No.
Source: 451 Research, “Now Shipping: The Docker and containers ecosystem rapidly takes shape”
Automation, agility, empathy
24
Container-native OSs
25
Snappy Ubuntu
Developers love Docker
26
But it’s not just a toy
27
21%}
Source: 451 VotE Cloud, Q1 2015; n=991
3.1%
19.8%
56.1%
10.7%
3.9%
4.2%
2.1%
Unfamiliar
No Plans
Discovery and Evaluation
Running Trials/Pilot Projects
Used for Test and Development
Environment
Initial Implementation of Production
Applications
Broad Implementation of
Production Applications
Today, early adopters. Tomorrow, the majority.
28
11.2%
47.8%
34.5%
6.6%
We are early adopters on the leading edge
We are pragmatic about new technology, but
will act sooner rather than later
We are conservative about new technology
and take a wait and see approach
We are skeptical and are usually late to the
game
Source: 451 VotE Cloud, Q2 2015; n=975
Fragmentation
drives microservices —
enabled by containers
29
30
Loosely coupled services
Loosely coupled teams
“ One of the biggest changes is that we no longer have
an official ‘architecture’ team. Instead, we have made
‘architecture’ an ‘ingredient’ on each of our teams.”
31
http://tech.gilt.com/post/102628539834/making-architecture-work-in-microservice
– Lauri Apple, Gilt Groupe, 14 Nov 2014
The foundation of microservices
32
Four real-world examples
33
The exemplar
34
Real-world example #2
35
http://www.softwareag.com/blog/reality_check/index.php/integration-insights/microservices-fan-help-adopt/
Real-world example #3
36
http://www.slideshare.net/nathariel/scaling-microservices-architecture-on-aws
Real-world example #4: REA (realestate.com.au)
37
Flickr: linhrom
http://techblog.realestate.com.au/a-microservices-implementation-retrospective/
Minimizing risk, maximizing agility
Architecture: Microservices, composable monitoring
Code: Continuous integration, feature flags
Servers: Continuous delivery, infrastructure as code
Services: Rolling updates, resilience engineering
Product: Continuous deployment, restricted audience
38
Change management
“Leading Change” by John Kotter
39
How? DevOps
What? Microservices
Why? Survival
40
41
Thank you!
Donnie Berkholz
Twitter: @dberkholz
donnie.berkholz@451research.com
Some content from this presentation
is Creative-Commons licensed.
https://creativecommons.org/licenses/by-sa/
https://creativecommons.org/licenses/by/
42

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DevOps, containers & microservices: Separating the hype from the reality

Notes de l'éditeur

  1. Today we’re going to dig deep into the technology, and specifically one of the hottest technologies of the past year – containers.
  2. 0 talks at Glue last year, 12 this year 1 proposal at OSCON last year, 30 this year Intro myself and credibility re containers/microservices
  3. Overall business goals
  4. “Does your company struggle with increased demands for shorter release cycles, with business managers expecting weekly, daily or even hourly releases and updates?” 63% overall
  5. Cathedral, indulgences to bazaar Open source, cloud, DigitalOcean Shadow IT: IT as service provider, as vendor
  6. Future is two years out App dev is 7.8% of workloads, ranked #5 (highest is email/collab at 15.9%) How do you get them to choose your offering? … But how are they building this?
  7. Future is two years out App dev is 7.8% of workloads, ranked #5 (highest is email/collab at 15.9%) How do you get them to choose your offering? … But how are they building this?
  8. Future is two years out App dev is 7.8% of workloads, ranked #5 (highest is email/collab at 15.9%) How do you get them to choose your offering? … But how are they building this?
  9. Languages, databases, frameworks … What’s driving the way we build technology?
  10. OODA loops
  11. Culture: Collaboration, Sharing Automation: Digital Measurement: KPIs
  12. Configuration management CFEngine 1.0: 1993
  13. Release management – quarters to weeks to days to hours Gary Gruver, HP
  14. Nagios (NetSaint): 1999 Community, UX Keep using cattle metaphor
  15. The next step in DevOps How do we cope with these demands for agility, scalability, automation, transience?
  16. VotE shows most orgs are largely moved to virtualization, a minority to automation, few to orchestration/private cloud Vagrant, Packer, Docker
  17. Windows catching up quickly with DevOps and containers No need to leave the Microsoft half of your environment behind
  18. Business-defined separations. Bounded context based on cross-organizational empathy. Steve Yegge memo — Amazon must be SOA, or you’re fired.
  19. DevOps + microservices Bounded contexts, empathy defined DevOps is how you build and run microservices.
  20. Nomad out of HashiCorp, new competitor to Mesos/Kubernetes Azure Container Service, building on Docker & Mesos. Beta by EOY 2015 Also note PaaS providers moving to containers
  21. Amazing stuff, great open-source code But hard for the rest of the world to envision becoming like them Any others?
  22. Launch a multitenant, elastically scalable, componentized cloud integration platform Dynamically launch and run 100s of different demos in AWS Their own customers running hotel kiosks, retail POS
  23. Worked well: template project, resilience, idempotence, automation, exposing verbs Wrote their own testing library to test consumers Problems: right-sizing, code sharing (inheriting from common git repo and adding files worked)
  24. The future of service delivery.