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DevOps by examples
Giulio Vian
http://blog.casavian.eu/
giulio.dev@casavian.eu
@giulio_vian
http://www.getlatestversion.it/
1990
1992 1999 2014
2010 2016
1995
freelance
2014 2015
TFS Aggregator
?
Most recent project
© 2016 IMG Universe, LLC.
All Rights Reserved
3
This Session
100/200-level
Grasp the essentials of the DevOps approach.
(well …, some essentials)
Leave open questions to the end
Something Olde, Something New, Something Borrowed, Something Blue
4
What we will talk about?
DevOps intro
Demos
Environment hosting the app
The Application itself
Deployment
Dynamic configuration
Monitoring
Wrap-up
5
OpsDev
Your turn
Azure
Visual Studio Team
Services (VSTS)
ASP.NET
Linux (Ubuntu)
Developers
Infra Engineers
Architects
Managers
6
«Appetizer»
7
DevOps is a job?
8
DevOps is a product?
9
DevOps is a culture, movement or practice
DevOps is a term used to refer to a set of practices that
emphasizes the collaboration and communication of
both software developers and other information-
technology (IT) professionals while automating the
process of software delivery and infrastructure changes.
DevOps represents a change in IT culture, focusing on rapid IT service delivery through the
adoption of agile, lean practices in the context of a system-oriented approach. DevOps
emphasizes people (and culture), and seeks to improve collaboration between operations and
development teams. DevOps implementations utilize technology — especially automation tools
that can leverage an increasingly programmable and dynamic infrastructure from a life cycle
perspective.
DevOps is the union of people, process, and products to
enable continuous delivery of value to our end users.
Wikipedia (2017)
Gartner
Microsoft (Donovan Brown)
10
Continuous Delivery evolution…
Source: Jez Humble © 2010
11
…rooted in Agile Principles
Individuals and interactions
over processes and tools
Working software
over comprehensive documentation
Customer collaboration
over contract negotiation
Responding to change
over following a plan
http://agilemanifesto.org/
«Main course»
Where? Infrastructure-as-Code
What? Build & Package
How? Deploy
13
Execution environment
Operating System
O.S. Modules
Local Services, Libraries
Application
Network & External Services
Data
14
Execution environment (alt)
Base container
Custom Container
Application
(in container)
Network & External Services
(e.g. Kubernetes)
Data
15
Execution environment – Comments
Setup times vs. launch times
Capacity planning
Running costs (Buy vs. Make)
16
Infrastructure-as-
Code
Azure Resource Manager
• Code
• Automation
17
Infrastructure-as-Code – Comments
Declarative vs. Imperative
Version Control
Continuous Integration
Dynamic vs. Static
Azure Resource Manager
Declarative Json-based
Extensible (script, DSC)
Entire infrastructure
AWS CloudFormation
Declarative Json-based
Terraform
Docker
Not much declarative
Single container
Swarm, Kubernetes, Mesos, …
Ansible, Puppet, Chef, CFEngine, …
18
Application
Web page showing DB data
• Environment
• Configuration
19
Build & Packaging
Collect everything
20
Build & Packaging – Comments
Version Control
Continuous Integration
Semantic Versioning
Artifacts
Images (Docker, AMI, Azure VM images)
21
Deploy
VSTS Release Management
• Controlled Automation
22
Secrets
Build time
Signing
Deploy time
Credentials
Run time
Tokens
Avoid exposures
git push hook
Static analysis
.gitignore
Centralized Version Control
Distinct repositories
Azure Key Vault,
AWS Key Management Service,
etc.
23
Deploy – Comments
Category
Dev / QA / Prod
Integrated (dynamic)
Release cadence
Feature toggles
24
Source: Pete Hodgson
Dynamic
Configuration
Feature Toggle
25
So far
26
OpsDev
Application Monitoring
Errors
Performance
Availability
Scalability
Analytics
App Insight
HockeyApp
ELK
ElasticSearch+LogStash+Kibana
Splunk
BugSense
Fabric
Firebase
New Relic
…
27
Monitoring
App Insight
28
Troubleshooting & Feedback loop
Access to production
Read-only
Debug
Sensitive production data
Design/architecture
Quality of data
Those Precious PDBs
29
More VSTS – Azure Links
DevTest labs
Deployment
Load testing
30
«Dessert»
31
People
(Photo: DoD)
32
Automation
(Photo: Alexander Dummer)
33
Resources
34
(Photo: Elya)
Call to action
35
(Photo: Francesco Canu)
Bibliografy & References
https://github.com/giuliov/DevOps-by-examples
http://www.slideshare.net/giuliov/presentations
http://martinfowler.com/articles/feature-toggles.html
https://leanpub.com/build
https://launchdarkly.com/
http://agilemanifesto.org/
https://azure.microsoft.com/en-us/services/application-insights/
https://github.com/tfsaggregator/tfsaggregator
https://github.com/aspnet
https://azure.microsoft.com/en-us/services/key-vault/
https://aws.amazon.com/kms/
https://blogs.msdn.microsoft.com/buckh/2016/09/30/controlling-exposure-through-feature-flags-in-vs-
team-services/
36
To know more
Continuous Delivery: Reliable Software
Releases through Build, Test, and
Deployment Automation — J.Humble,
D.Farley (Addison-Wesley)
https://www.amazon.com/Continuous-
Delivery/dp/0321601912/
The Phoenix Project — G.Kim, K.Behr,
G.Spafford (IT Revolution Press)
https://www.amazon.com/Phoenix-Project-
DevOps-Helping-Business/dp/0988262509/
37
To know more (cont’d)
The DevOps Handbook — G.Kim,
P.Debois, J.Willis, J.Humble (IT
Revolution Press)
https://www.amazon.com/DevOps-
Handbook-World-Class-Reliability-
Organizations/dp/1942788002/
Continuous Delivery with Visual Studio
ALM 2015 — M.Olausson, J.Ehn (Apress)
http://www.amazon.com/Continuous-
Delivery-Visual-Studio-2015/dp/1484212738/
38
Partial checklist
Where is configuration stored?
How is configuration updated?
Is production configuration isolated and secured?
Where are the secrets and who can access them?
How versions are tracked?
Who authorizes changes and how?
How data is preserved on updates?
How data schema and module interfaces updates?
Using environment images or scripts?
How big is the deploy window?
How are the tracked activities and errors?
How are operational data is collected from production?
39
End of transmission
40
Demo Screenshots
41
Infrastructure-as-Code
Azure Portal
Resource Groups
Resulting Resource Group
Visual Studio Team Services – Project home
46
Visual Studio Team Services Release Management
Create/Update Resource Group
Install packages
Environment creation in progress
Resulting Environment
51
Application
52
Version Control
Home page
54
Query “C”
55
Build & Packaging
56
Continuous Integration
Semantic Versioning
App build script
Deploy
60
App deploy script – Database
App deploy script – Copy files to Target
App deploy script – Run final setup script
App deploy – configuration data
App deploy – source packages
Deploying the app
Deploying the app – pick a version
App deploy log
App deployed
69
Dynamic Configuration
70
Toggle feature script – generate new config files
Toggle feature deploy script – deploy config changes
New configuration data

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DevOps by examples - Azure Meetup Frankfurt 06-2017

Editor's Notes

  1. http://www.gartner.com/it-glossary/devops/ DevOps is a term used to refer to a set of practices that emphasize the collaboration and communication of both software developers and information technology (IT) professionals while automating the process of software delivery and infrastructure changes. It aims at establishing a culture and environment, where building, testing, and releasing software can happen rapidly, frequently, and more reliably. Wikipedia (2017)
  2. The 1975 book _Algorithms + Data Structures = Programs_ of Turing Award winner Niklaus Wirth is still relevant.
  3. http://martinfowler.com/articles/feature-toggles.html
  4. Nota con VSTS cloud non significa pubblico!
  5. Nota con VSTS cloud non significa pubblico!
  6. http://www.gartner.com/it-glossary/devops/ DevOps is a term used to refer to a set of practices that emphasize the collaboration and communication of both software developers and information technology (IT) professionals while automating the process of software delivery and infrastructure changes. It aims at establishing a culture and environment, where building, testing, and releasing software can happen rapidly, frequently, and more reliably. Wikipedia (2017)