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Forbes
23-05-2025
- Business
- Forbes
DevOps As A Competitive Advantage: Measuring The True Business Impact
Sai Sandeep Ogety, Director of Cloud & DevOps Engineering and DevOps Institute Ambassador at PeopleCert, specializes in Cloud & CI/CD. In the modern landscape of fiercely competitive markets, DevOps has transformed from an IT practice into a distinctly strategic business differentiator. Despite the fact that a majority of business leaders comprehend the concept of DevOps, most have difficulty framing its worth in anything other than technical terms. This creates a gaping chasm between value understanding and the enactment of executive sponsorship where strategic advantage is either seized or forfeited. In the business world, particularly in the C-suite, metrics like lead time and deployment frequency do not garner much attention. Even though 99% of organizations acknowledge the advantages of DevOps, most still face challenges articulating that value in straightforward business language. The challenge is not whether some value is obtained from DevOps; the problem is how to communicate it so that it impacts strategic choices. Companies that excel in this domain gain a unique market advantage with better resource distribution, quicker responses to market shifts and overall improved customer satisfaction. The estimated revenue of the worldwide DevOps industry will reach $25.5 billion by 2028, growing from $10.4 billion in 2023. This strong projection demonstrates how the market perceives value in DevOps. Additionally, an untapped opportunity to invest in this space exists. Companies can only take advantage of it when they can firmly articulate how precise business targets are met beyond the improved efficiency of the IT department. Successful organizations track the ROI of DevOps within an organization by using measurable metrics that directly impact business profitability: 1. Time-To-Market Acceleration: Apart from observing the frequency of deployment, gauge revenue earned from surpassing industry players in market access. Amazon is likely able to outearn its competitors due to its ability to deploy code changes every 11.6 seconds. To retail and financial services firms, every week's head start in accelerated delivery translates to millions in market opportunity seized. 2. Customer Experience Impact: Determine the relationship between deployment dependability and customer satisfaction ratings. Companies incorporating DevOps as a culture report an average of 61% improvement in the quality of deliverables, positively impacting retention and customer lifetime value. Each percentage point improvement in retention typically contributes 5% value growth. 3. Innovation Capacity: Track the share of engineering resources that have moved from maintenance to innovation. Typical high-performing DevOps organizations allocate 25%-30% more resources to innovation than their peers. This is a major advantage in feature development because it means a mid-sized development team can complete 15-20 additional innovation cycles each year. 4. Risk Reduction Value: Estimate the costs avoided from downtime. Delta Air Lines lost $150 million in revenue from the 2016 systems crash. This figure is important when trying to justify spending on stability and recovery capabilities investments alongside DevOps. Financial service organizations report even greater costs, with trading platforms losing as much as $9 million for every hour during an outage. 5. Talent Efficiency: Monitor the metrics related to the retention and productivity of developers. Advanced DevOps teams report 33% greater time improving infrastructure relative to time spent troubleshooting, which equates to almost $40,000 of productivity regained per developer per year, assuming a $120,000 salary. Implementing an effective measurement approach requires three foundational elements: 1. Establish Clear Baselines: Prior to adopting DevOps methodologies, capture current performance measurements on both a technical and business level. This baseline serves as the foundation for the comparison that will illustrate demonstrable improvement. Important baseline measurements considered to be the most critical include: 2. Implement Tiered Metrics: Develop a hierarchy of metrics that connect technical DevOps outcomes to business results: The DORA (DevOps Research and Assessment) framework provides a validated approach to measuring these outcomes across organizational tiers. 3. Create Executive Dashboards: Develop real-time visibility tools that translate DevOps performance into business impact metrics. These dashboards should focus on KPIs that directly address C-suite priorities rather than technical details. Effective dashboards combine: Organizations leveraging DevOps as a competitive advantage share common approaches to value measurement. Alaska Airlines' strategic focus lies on innovation velocity and customer experience metrics. Its focus on DevOps allowed it to reduce outages by 60%. Target enhanced DevOps by reclassifying core company events as ROI-centric milestones, thereby improving metrics. This change helped Target overcome retail slowdowns during the pandemic and become a leader in digital transformation. For executives seeking to leverage DevOps as a competitive advantage, three actions are critical: 1. Commission a DevOps value assessment that documents current performance in business terms and identifies specific opportunities for competitive differentiation. 2. Implement a balanced scorecard approach that measures both tangible ROI (cost reduction, revenue growth) and intangible benefits (collaboration, innovation capacity). 3. Create accountability by assigning business outcomes—not just technical metrics for DevOps initiatives. The pathway of DevOps features three phases: adopt a technology, optimize a process, implement a strategic differentiation. Leading practitioners do not stop at simply executing; they track the metrics of DevOps maturity and relate them to business results. In today's volatile markets, the competitive edge is not in adoption alone but in treating DevOps as a strategic asset fostering agility, customer value and market leadership. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Forbes
08-04-2025
- Business
- Forbes
The Future Of DevOps: Platform Engineering And Autonomous Systems
Sai Sandeep Ogety, Director of Cloud & DevOps Engineering and DevOps Institute Ambassador at PeopleCert, specializes in Cloud & CI/CD. getty The DevOps landscape is changing very quickly. As companies in various industries pursue relentless attempts to boost operational performance, strengthen security posture and scale, there are two revolutionary movements in platform engineering and autonomous systems that are completely rethinking how software is made, deployed, managed and optimized. Contrary to incremental development revolutions, these trends emerge with significant sea change, promising a profound shift in DevOps practices. Platform engineering is a paradigm departure from traditional DevOps practices. Philosophically, DevOps always required a heroic level of manual management when it came to infrastructure, deployments and tooling—and in the process, enormous amounts of time were taken away from focusing on the business. Platform engineering flips the script on this by creating internal platforms engineered to provide explicit abstraction for hard infrastructure management work, simplifying workflows and boosting the productivity of developers. Platform engineering allows developers to work on their main duties through application creation while avoiding infrastructure complexities. Organizations that use this approach create standard environments and automation tools that their teams can access. These features provide reliable software deployment along with high security standards and efficient delivery at significantly reduced risk of human mistakes, configuration problems and compliance violations. Platform engineering brings concrete advantages to the industry through its implementation at various companies. Through Spotify's Backstage platform, developers obtain quick application development and deployment because they have access to simple self-service portals. Google introduced the Kubernetes and Borg platforms, which transformed container orchestration by offering enterprises unmatched scalability and operational ease. Organizations can leverage these platforms that are made specifically to enhance developer workflows for increased organizational speed. Through platform engineering, organizations can achieve better compliance management alongside standardized operations between different project teams. Businesses should use built-in best practices and risk management tools in their internal platforms to enforce security rules and compliance standards uniformly to prevent manual configuration-related vulnerabilities. The consistent methodology speeds up software development schedules to help organizations preserve their market agility. DevOps development goes beyond automated systems because it further enables autonomous systems. Autonomous systems use artificial intelligence—along with machine learning and advanced data analytics—to bring autonomous self-healing and self-optimizing functions into DevOps operations. The advanced systems decrease the need for operator involvement while actively foreseeing future problems before they arise to achieve a dynamic, continuous optimization of infrastructure. Autonomous systems improve independently through the analysis of operational patterns combined with real-time data processing because they differ from standard automated solutions that need predefined scenarios. These systems have the ability to detect operational problems and then select appropriate solutions while taking control of corrective actions in order to maintain system uptime and operational excellence. Real-world deployments showcase the enormous potential of autonomous systems in modern DevOps environments. The production environment of Netflix benefits from Chaos Monkey, which automatically creates system failures to test system resilience and improve reliability. Advanced analytics integrated into monitoring systems created by Datadog, Dynatrace and Splunk enable proactive risk detection along with automated risk management, which strengthens operational performance and system stability. The self-governing capabilities of DevOps systems extend incident management into predictive failure anticipation. The ability to self-govern and automate daily optimization transforms infrastructure management methods, enabling engineers to transition from problem-solving to strategic innovation and business development. Organizations that combine platform engineering methods with autonomous systems in their DevOps strategies can obtain major strategic benefits. Through advanced methodologies, organizations can accelerate innovation so they reduce the time needed to market new applications and features. When developers no longer need to perform operational duties, they can realize productivity gains. The implementation of autonomous systems creates substantial enhancements to an organization's security efforts. Autonomous functions deliver threat detection in real time with continuous compliance oversight and vulnerability management automation to provide better risk reduction than human-based operations. The implementation of these practices both decreases manual labor overheads and meets all new regulations with strict requirements for IT security systems in complex environments. The system experiences reduced operational expenses together with the simplification of operational complexities. The introduction of autonomous systems can lead to a substantial reduction in operational workload, which typically exists in traditional manual DevOps practices. Operational efficiency improvements reduce operational expenses as well as create additional valuable resource capacity that technology teams can utilize to drive business expansion and innovation. The development of autonomous, platform-based DevOps operations requires businesses to develop strategic transformations. Businesses that adopt these developing technologies in advance will gain solid market advantages to create operational strength and innovative capability along with rapid response capacities. The future of DevOps will inevitably establish smart platforms that operate by themselves. Background-leading organizations that implement platform engineering together with autonomous systems will create the path for software development's future while they adapt their systems to market changes. Organizations that successfully unite these modern DevOps methods will operate effectively through future uncertainties to maintain continuous innovation and sustained expansion in today's competitive world market. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
