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From siloed software development focused around individual applications, to DevOps and collaborative sharing through GitHub, to the modern era of DevSecOps, Cloud Operations, SRE and Platform Engineering, each phase has brought its own set of challenges and opportunities for developers undertaking software projects.
Traditionally, developers, IT operations, and security teams worked separately. Code was written, tested, deployed, and only then checked for vulnerabilities. Any issues found required starting the process over. This linear approach to software development was slow and frustrating.
Lack of collaboration and communication.
Long lead times for development and deployment.
Difficulty in scaling systems and applications.
Limited ability to quickly respond to changes.
With the introduction of DevOps in the early 2000s, the software development process underwent a significant change. Instead of the traditional siloed approach, DevOps brought these teams together, enabling them to work collaboratively from design to deployment. This approach enabled teams to quickly respond to changes in the business or market, and increased the overall efficiency and effectiveness of operations.
Improved
collaboration and communication.
Reduced lead times for development and deployment.
Enhanced scalability and ability to quickly respond to changes.
Increased efficiency and effectiveness of operations.
GitHub, the widely popular web-based platform for version control and collaboration, has played a significant role in the success of DevOps. The platform allows development teams to work together in a centralized location, streamlining the software development process.
With GitHub, teams can easily share code, track changes, and collaborate on projects in
real-time.
GitHub integration with other tools such as CI/CD pipelines, allows for streamlined and automated delivery of code changes.
GitHub’s open-source community enables development teams to leverage the latest technologies and best practices.
DevSecOps is a methodology that integrates security practices into the software development process, from design to deployment. It is an evolution of DevOps, which was designed to identify and address security issues while bringing development and operations teams together to work more efficiently and therefore increase the overall security of the software.
Improved security integration in development.
Reduced breaches by identifying vulnerabilities early.
Better compliance with security standards.
Synergy between Development, Security, and Operations.
Cloud Operations emerged as an overarching discipline that brings together various areas such as data, machine learning, and artificial intelligence with the DevOps approach. The goal of Cloud Operations is to optimize the entire software development and operations process, from design to deployment, by embracing the principles of DevOps and extending them to other areas, including observability.
Observability is a critical component of Cloud Operations as it enables teams to gather and analyze telemetry data from various components and services in a distributed system, allowing for more effective monitoring and troubleshooting of complex systems.
Machine Learning Ops (MLOps) introduces a set of collaboration and communication practices between data scientists and operations teams.
Observability is the process of collecting and analyzing data from different parts of a system to monitor its performance and behavior. It helps teams troubleshoot and improve complex systems by providing visibility into their inner workings.
FinOps optimizes cloud spending by analyzing usage, idenifying cost-saving opportunities, and settingfinancial guardrails to prevent overspening, promoting financial accountability.
Site Reliability Engineering (SRE) was created to fill the gap between software engineering and system operations. Its main goal is to create scalable and highly reliable software systems. Combining release speed (required by development teams), quality control (required by QA teams) and system stability (required by operations teams) is the core of what SRE is about.
Minimising downtime, increasing availability.
Improving incident management, faster resolution.
Enhancing system scalability.
Reducing costs with automation.
Platform Engineering is a game-changer in software development. The methodology focuses on the design and maintenance of reusable software components, frameworks and libraries. Platform Engineering enables teams to share and reuse these components across multiple projects, reducing duplication of effort and increasing productivity. It also allows for better collaboration and communication between teams, and enables faster development and deployment of software.
Helping teams to quickly develop and deploy software.
Enabling teams to manage and optimize resources more effectively.
Deploying systems that are easy to update and maintain.
Enabling teams to align their work with goals and objectives of the business.
By adopting a Platform Engineering approach, companies can see significant reductions in deployment time, with some reporting a reduction of up to 90%.
As time moves on, new disciplines come to the fore: There’s always a ‘next big thing’. However, this does not mean previous disciplines are eliminated! Instead, with a true DevOps culture & mindset implemented, the new & old can interact seamlessly in contributing to a truly reliable & agile infrastructure.
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