Beschreibung
Optimize your software development lifecycle with DevOps! In this project-driven, practical guide, DevOps expert Sujeevan Vijayakumaran will teach you all you need to know about this methodology. Walk through each phase of an IT project—from planning and coding to deployment and monitoring—to see how DevOps tools and techniques help streamline modern application development. Witness the trials of an example company to understand how a DevOps work culture creates calm out of chaos—and use the lessons learned to implement DevOps in your own organization. Highlights include:1) CALMS framework 2) Project management 3) Code collaboration 4) Continuous integration and continuous delivery5) Quality assurance6) Testing 7) Operations8) Monitoring9) Security10) GitHub11) GitLab
Highlights:
CALMS framework
Project management
Code collaboration
Continuous integration and continuous delivery
Quality assurance
Testing
Operations
Monitoring
Security
GitHub
GitLab
Jenkins
Inhalt
1.1 ... Culture ... 16
1.2 ... Technology ... 17
1.3 ... My Path to DevOps and to This Book ... 17
1.4 ... Target Audience ... 19
1.5 ... The Structure of the Book ... 20
1.6 ... Feedback ... 20
1.7 ... Thank You! ... 21
2.1 ... DevOps: The Big Picture ... 23
2.2 ... Misunderstandings about DevOps ... 36
2.3 ... The DevOps Software Development Lifecycle ... 42
2.4 ... Summary ... 45
3.1 ... nicely-dressed.com ... 48
3.2 ... The Development Model ... 48
3.3 ... The Business Team: Requirements Analysis ... 49
3.4 ... The Architecture Team: Design of the Application ... 50
3.5 ... The Development Teams ... 50
3.6 ... The Quality Assurance Team ... 52
3.7 ... The Operations Team: The Ops in DevOps ... 53
3.8 ... The Infrastructure Team ... 56
3.9 ... The Security Team ... 57
3.10 ... Summary ... 58
4.1 ... The First Steps: The Agile Mindset ... 61
4.2 ... Project Management for Everyone? ... 64
4.3 ... Summary ... 72
5.1 ... Typical Problems with Managing the Source Code ... 73
5.2 ... Improve the Organization of the Code ... 81
5.3 ... There Is No Way around Git ... 83
5.4 ... Code Reviews and Pair Programming ... 91
5.5 ... Inner Sourcing: Sharing Code within the Company ... 102
5.6 ... Summary ... 111
6.1 ... Typical Problems in the Build Process ... 113
6.2 ... Modern Build Management ... 119
6.3 ... Continuous Integration ... 122
6.4 ... The Continuous Integration Server and the Pipelines ... 126
6.5 ... Efficient Pipeline Authoring ... 132
6.6 ... Overview of Continuous Integration Servers ... 134
6.7 ... Summary ... 152
7.1 ... Typical Problems with Testing ... 153
7.2 ... Testing as Part of the DevOps Process ... 158
7.3 ... Summary ... 171
8.1 ... Typical Release Management Problems ... 173
8.2 ... Implementing Continuous Delivery and Deployment ... 179
8.3 ... Build Management for Deployments ... 191
8.4 ... Rollbacks, Canaries, and Feature Flags ... 198
8.5 ... Deployment Targets ... 205
8.6 ... Summary ... 219
9.1 ... Typical Problems with Operating Services ... 221
9.2 ... Breaking Up the Highly Coupled Infrastructure Architecture ... 226
9.3 ... Cloud Computing ... 233
9.4 ... Stronger Collaboration between Development and Operations ... 243
9.5 ... Configuration Management: Everything as Code ... 249
9.6 ... Chaos Engineering ... 258
9.7 ... Reliability Engineering ... 262
9.8 ... Summary ... 265
10.1 ... No Visibility at nicely-dressed.com ... 268
10.2 ... With Insight Comes Foresight ... 275
10.3 ... Tools for Monitoring, Observability, and Tracing ... 282
10.4 ... Availability ... 300
10.5 ... Summary ... 304
11.1 ... Security Disrupts the Agile Waterfall ... 308
11.2 ... DevOps with a Separate Security Team ... 310
11.3 ... DevSecOps: Building Security into DevOps ... 314
11.4 ... Tools for Higher Security ... 321
11.5 ... Supply Chain Security ... 329
11.6 ... Compliance ... 335
11.7 ... Summary ... 345
12.1 ... Introducing a DevOps Culture ... 347
12.2 ... Making DevOps Success Measurable with DORA Metrics ... 362
12.3 ... Value Stream Mapping ... 368
12.4 ... Summary ... 375
13.1 ... Toolchain Complexity ... 378
13.2 ... DevOps Platforms at a Glance ... 384
13.3 ... Summary ... 387
14.1 ... The Role of AI in DevOps ... 389
14.2 ... DataOps, MLOps, and AIOps ... 397
14.3 ... DevOps as a Job ... 399
14.4 ... Summary ... 410
... The Author ... 411
... Index ... 413
