Evolution of the Software Development Lifecycle and DevOps Tools
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The document discusses the evolution of the software development lifecycle (SDLC) and DevOps tools. It describes how rapid increases in processing power necessitated more agile development approaches like iterative development and continuous integration. This prompted a proliferation of DevOps tools to facilitate new processes. Factors like cloud adoption, security integration, and diverse use cases are driving continued growth in the DevOps tools market. The document analyzes the competitive landscape and advises evaluating tools based on integration capabilities, ease of adoption, ROI demonstration, and cross-functionality.
![2
What is the Software Development Lifecycle?
Moore’s Law is the observation that overall processing power doubles every two years, leading to
exponential growth with a diminishing cost basis
Sources: [1] Stackify
Requirement
Analysis
Planning
Architectural
Design
Development
Testing
Deployment
Processing power’s rampant growth has had significant
implications, including catalyzing growth among other
enabling technologies (e.g., cloud computing) and forcing
more rapid innovation and greater agility from participants
across the technology ecosystem
• In response, independent software vendors (ISVs) have
had to rethink how they approach the software
development lifecycle (SDLC)
The SDLC is a methodology for creating and deploying
software through defined processes, which includes the
following phases (in some form): requirement analysis,
planning, architectural design, development, testing and
deployment[1]
• ISVs have adopted a variety of new approaches and
tools that promote the rapid development and
production of high-quality software](https://image.slidesharecdn.com/sdlcanddevopstoolsjun-20vexternal-200623012238/85/Evolution-of-the-Software-Development-Lifecycle-and-DevOps-Tools-2-320.jpg)
![3
Process Evolution
Demand for rapid innovation has forced DevOps teams to rethink everything from the way they approach the
process to the tools they use
Sources: [2] Shea & Co
From a process perspective, teams have fundamentally changed the way they approach developing and deploying software,
migrating from the traditional waterfall method to any number of new, iterative techniques that have emerged
• Iterative methods prioritize agility, which is enabled by continuous everything[2]: development, testing, integration,
delivery, and monitoring
• A proliferation of DevOps tools has followed, accompanying these new, agile methods and enabling this idea of
continuous everything
“Old Guard” “New Wave”
Analyze
Plan
Design
Develop
Test
Deploy
Analyze
Plan
Design
Develop
Test
Deploy
Analyze
Plan
Design
Develop
Test
Deploy](https://image.slidesharecdn.com/sdlcanddevopstoolsjun-20vexternal-200623012238/85/Evolution-of-the-Software-Development-Lifecycle-and-DevOps-Tools-3-320.jpg)
![4
Proliferation of DevOps Tools
Refined processes only get teams so far; a new set of tools was required to facilitate the adoption of these
new approaches while accelerating each step of the process
Sources: [3] IDC; [4] ICONIQ
Lower barriers to adoption, manifesting themselves through credit
card sign-up options for developers and increased interoperability
with other tools via open APIs, has caused the number of tools used
by DevOps teams to skyrocket
• IDC estimates that the DevOps software tools market reached
$5.2B in 2018 and expects it to grow to $15.0B by 2023, citing
CI/CD, infrastructure provisioning, DevSecOps, and monitoring and
analytics for both production and testing as key value drivers[3]
Within the SDLC, DevOps tools are concentrated in the development,
testing, and deployment stages, and typically fall in one of the
following categories:
Number of Tools Used by DevOps Teams[4]
Development
Testing / Review
CI/CD
Deployment
Monitoring
Security
Project Management
Apple
Stripe
Google
Docker
Datadog
Microsoft
Zendesk
Amazon
Pluralsight
Sentry
Shopify
Facebook
Heroku
Chime
GitLab
Square
LaunchDarkly
Instacart
Airbnb
Uber
Asana
Delivery Hero](https://image.slidesharecdn.com/sdlcanddevopstoolsjun-20vexternal-200623012238/85/Evolution-of-the-Software-Development-Lifecycle-and-DevOps-Tools-4-320.jpg)
![5
Tailwinds Driving Growth
While the DevOps tools market is not new, the evolution of software development, deployment and its
enabling technologies have created market tailwinds that are accelerating both usage and adoption
Many of these tailwinds are relatively new to the market and
have yet to manifest themselves in tools that have reached
mass adoption, implying that there is significant runway for
sustained growth in the DevOps tools market
• For example, survey results indicate that only 22% of
organizations have fully integrated security into their
software development process[5]
Sources: [5] Puppet, CircleCI, Splunk
Level of Security Integration Within SDLC [5]
6%
12% 12%
17%
22%
No Integration Minimal Integration Selective Integration Significant Integration Full Integration
n = 2,949
Some of the specific trends we have observed driving growth in the DevOps tools market are as follows:
• AI Automation of the SDLC has enabled faster innovation by providing greater leverage to DevOps teams
• Low-code/no-code development platforms have democratized the application development process
• Cloud-native apps have driven the adoption of containers/microservices, serverless computing, etc.
• Security awareness has led to the integration of security at every stage of the SDLC
• Continuous integration/delivery has reduced time to production and allows for continuous application uptime
• Device/infrastructure growth has increased the importance of cross platform development tools
• Diverse use cases have led to the emergence of new languages, frameworks, databases, etc.
• Hybrid and public cloud deployments have highlighted the importance of infrastructure provisioning](https://image.slidesharecdn.com/sdlcanddevopstoolsjun-20vexternal-200623012238/85/Evolution-of-the-Software-Development-Lifecycle-and-DevOps-Tools-5-320.jpg)
Evolution of the Software Development Lifecycle and DevOps Tools
- 1. 1 Evolution of the Software Development Lifecycle and DevOps Tools June 2020 Kyle Howard-Johnson & Todd Clapp
- 2. 2 What is the Software Development Lifecycle? Moore’s Law is the observation that overall processing power doubles every two years, leading to exponential growth with a diminishing cost basis Sources: [1] Stackify Requirement Analysis Planning Architectural Design Development Testing Deployment Processing power’s rampant growth has had significant implications, including catalyzing growth among other enabling technologies (e.g., cloud computing) and forcing more rapid innovation and greater agility from participants across the technology ecosystem • In response, independent software vendors (ISVs) have had to rethink how they approach the software development lifecycle (SDLC) The SDLC is a methodology for creating and deploying software through defined processes, which includes the following phases (in some form): requirement analysis, planning, architectural design, development, testing and deployment[1] • ISVs have adopted a variety of new approaches and tools that promote the rapid development and production of high-quality software
- 3. 3 Process Evolution Demand for rapid innovation has forced DevOps teams to rethink everything from the way they approach the process to the tools they use Sources: [2] Shea & Co From a process perspective, teams have fundamentally changed the way they approach developing and deploying software, migrating from the traditional waterfall method to any number of new, iterative techniques that have emerged • Iterative methods prioritize agility, which is enabled by continuous everything[2]: development, testing, integration, delivery, and monitoring • A proliferation of DevOps tools has followed, accompanying these new, agile methods and enabling this idea of continuous everything “Old Guard” “New Wave” Analyze Plan Design Develop Test Deploy Analyze Plan Design Develop Test Deploy Analyze Plan Design Develop Test Deploy
- 4. 4 Proliferation of DevOps Tools Refined processes only get teams so far; a new set of tools was required to facilitate the adoption of these new approaches while accelerating each step of the process Sources: [3] IDC; [4] ICONIQ Lower barriers to adoption, manifesting themselves through credit card sign-up options for developers and increased interoperability with other tools via open APIs, has caused the number of tools used by DevOps teams to skyrocket • IDC estimates that the DevOps software tools market reached $5.2B in 2018 and expects it to grow to $15.0B by 2023, citing CI/CD, infrastructure provisioning, DevSecOps, and monitoring and analytics for both production and testing as key value drivers[3] Within the SDLC, DevOps tools are concentrated in the development, testing, and deployment stages, and typically fall in one of the following categories: Number of Tools Used by DevOps Teams[4] Development Testing / Review CI/CD Deployment Monitoring Security Project Management Apple Stripe Google Docker Datadog Microsoft Zendesk Amazon Pluralsight Sentry Shopify Facebook Heroku Chime GitLab Square LaunchDarkly Instacart Airbnb Uber Asana Delivery Hero
- 5. 5 Tailwinds Driving Growth While the DevOps tools market is not new, the evolution of software development, deployment and its enabling technologies have created market tailwinds that are accelerating both usage and adoption Many of these tailwinds are relatively new to the market and have yet to manifest themselves in tools that have reached mass adoption, implying that there is significant runway for sustained growth in the DevOps tools market • For example, survey results indicate that only 22% of organizations have fully integrated security into their software development process[5] Sources: [5] Puppet, CircleCI, Splunk Level of Security Integration Within SDLC [5] 6% 12% 12% 17% 22% No Integration Minimal Integration Selective Integration Significant Integration Full Integration n = 2,949 Some of the specific trends we have observed driving growth in the DevOps tools market are as follows: • AI Automation of the SDLC has enabled faster innovation by providing greater leverage to DevOps teams • Low-code/no-code development platforms have democratized the application development process • Cloud-native apps have driven the adoption of containers/microservices, serverless computing, etc. • Security awareness has led to the integration of security at every stage of the SDLC • Continuous integration/delivery has reduced time to production and allows for continuous application uptime • Device/infrastructure growth has increased the importance of cross platform development tools • Diverse use cases have led to the emergence of new languages, frameworks, databases, etc. • Hybrid and public cloud deployments have highlighted the importance of infrastructure provisioning
- 6. 6 Investment Considerations When evaluating opportunities in the DevOps tools market, it is important to consider the following aspects when assessing the long-term viability and value of a solution: Competitive landscape: there are certain tools that have become the de facto standard across the software development community for their respective function, which has increased the barriers to entry for certain segments of the DevOps tools ecosystem and made it difficult for new entrants to gain traction Integrations with other tools (APIs): agile development methodologies are predicated upon short feedback cycles, which is only possible if the tools used at each stage of the software development lifecycle are able to communicate with one another and streamline processes for DevOps teams Ease of use / adoption: tool adoption is often driven through a bottoms-up approach, with management soliciting input and requiring developer buy-in before making a purchasing decision; this can manifest itself in tiered pricing packages with an option geared towards credit card sign-ups that developers can use in a trial capacity Demonstrable ROI: while tool adoption tends to be driven through a bottoms-up approach, final selection criteria is still defined in a top-down manner by key decision makers; the cost of more expensive tools can be overcome by demonstrating meaningful and tangible ROI Cross-functional capabilities: as the number of application variables continues to expand, it is important to understand the specific capabilities of the tool, where applicable, with respect to factors such as application type (web vs. mobile), operating system (e.g., iOS, Android, Windows), and language (e.g., Java, C++, Python)
- 7. 7 DevOps Tools Landscape Sources: Company websites Note: This landscape is intended to be a representative sampling and is not an exhaustive list. Please direct inquiries to kyle@catalyst.com. Deployment CI/CDTesting/Review Monitoring Security Development Project Management
- 8. 8 Please send any inquiries to kyle@catalyst.com