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The Secrets to Success with Open Source

Rod Cope
Perforce Software

In the age of digital transformation, enterprises are migrating to open source software (OSS) in droves to streamline operations and improve customer and employee experiences. However, to unlock the deluge of OSS benefits, it's not enough for organizations to simply implement the software. They must take the necessary steps to build an intentional OSS strategy rooted in ongoing third-party support and training.

To better understand the current state of OSS and how enterprises' varying levels of support and training efforts correlated with business success, we worked with Forrester Consulting to survey leading open source and cloud adoption decisionmakers at North American enterprises and uncovered an overarching theme: when running open source packages, companies need third-party expertise and skilled resources to fully realize their business goals.

Non-Optimized Support and Lifecycle Management Limit OSS Success

Open source software has emerged as a central pillar of enterprises' efforts to future-proof their IT strategies. When implemented correctly, it delivers tremendous business value, from greater flexibility and innovation to reduced costs and security threats. In fact, an overwhelming 96% of enterprises find OSS mission critical or important to their company's digital transformation initiatives and 97% intend to move at least one aspect of their IT infrastructure to OSS, according to the Forrester study.

Despite this welcome attitude toward open source software adoption, few have taken the necessary steps to embrace it fully, and run it at enterprise scale, securely, with minimized risk and maximized results. The idea of OSS is appealing, but when it comes time to implement, enterprises often don't understand how the individual technologies operate or how to take advantage of OSS in a comprehensive manner. Rather than establishing enterprise-wide policies for overseeing and regulating their open source, they leave it to individual departments or developers to control.

The result? 64% of enterprises report sub-optimal, siloed approaches that fail to factor in the external expertise or skills required of sophisticated OSS. Consequently, these enterprises risk falling behind in maintenance lifecycles, losing out to their modernized competitors, increasing security vulnerabilities and struggling to hire and retain talent that prefer OSS environments.

Even though a majority of organizations reported subpar OSS strategies, they understood the value external skills and support could have on their success and were receptive to change. Areas respondents believe would benefit from greater assistance include initial setup and architecture design, ongoing maintenance of OSS implementations and improved access to training, among others.


Digital transformation requires more than the mere adoption of new technologies; it demands an ongoing, holistic approach. There are a host of OSS factors that, left unchecked, could result in disaster for businesses and their bottom line.

External OSS Guidance Leads to Better Business Outcomes

In the Forrester report, nearly every respondent who adopted open source experienced at least one of its benefits, including greater flexibility, faster product innovation, enhanced employee experiences, lower operational overhead and better customer satisfaction. However, those who added ongoing external support services to their open source strategy were 82% more likely to report that they exceeded business expectations, underscoring the tremendous cost-benefit of third-party support.


Despite these findings, many organizations have not optimized their OSS strategies with enterprise-level support and maintenance — effectively missing out on such benefits as greater flexibility, efficiency and innovation.

For those enterprises that are eager to close this gap, but are unsure of where to start, consider conducting an internal audit of the key areas required of a robust OSS strategy: security, support and maintenance.

Businesses should ask themselves the following questions to help pinpoint their current position:

■ Are the business-critical components you are using supported commercially?

■ Do you oversee or monitor the OSS packages teams are allowed to deploy?

■ How often do you experience expensive service interruptions or outages?

■ Do you find that architectural changes are necessary to resolve production issues?

■ How much time do your developers spend engaging in support roles?

If IT and DevOps teams are spending most of their time fixing bugs, self-supporting or rearchitecting applications, it may be time to tap a third-party support group to manage the many moving parts associated with a fully-realized open source strategy. Not only will added support and skills better position enterprises for long-term IT excellence, but it'll quickly catapult them into the elite 82% of organizations outpacing their business goals.

Rod Cope is CTO of Perforce Software

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The Secrets to Success with Open Source

Rod Cope
Perforce Software

In the age of digital transformation, enterprises are migrating to open source software (OSS) in droves to streamline operations and improve customer and employee experiences. However, to unlock the deluge of OSS benefits, it's not enough for organizations to simply implement the software. They must take the necessary steps to build an intentional OSS strategy rooted in ongoing third-party support and training.

To better understand the current state of OSS and how enterprises' varying levels of support and training efforts correlated with business success, we worked with Forrester Consulting to survey leading open source and cloud adoption decisionmakers at North American enterprises and uncovered an overarching theme: when running open source packages, companies need third-party expertise and skilled resources to fully realize their business goals.

Non-Optimized Support and Lifecycle Management Limit OSS Success

Open source software has emerged as a central pillar of enterprises' efforts to future-proof their IT strategies. When implemented correctly, it delivers tremendous business value, from greater flexibility and innovation to reduced costs and security threats. In fact, an overwhelming 96% of enterprises find OSS mission critical or important to their company's digital transformation initiatives and 97% intend to move at least one aspect of their IT infrastructure to OSS, according to the Forrester study.

Despite this welcome attitude toward open source software adoption, few have taken the necessary steps to embrace it fully, and run it at enterprise scale, securely, with minimized risk and maximized results. The idea of OSS is appealing, but when it comes time to implement, enterprises often don't understand how the individual technologies operate or how to take advantage of OSS in a comprehensive manner. Rather than establishing enterprise-wide policies for overseeing and regulating their open source, they leave it to individual departments or developers to control.

The result? 64% of enterprises report sub-optimal, siloed approaches that fail to factor in the external expertise or skills required of sophisticated OSS. Consequently, these enterprises risk falling behind in maintenance lifecycles, losing out to their modernized competitors, increasing security vulnerabilities and struggling to hire and retain talent that prefer OSS environments.

Even though a majority of organizations reported subpar OSS strategies, they understood the value external skills and support could have on their success and were receptive to change. Areas respondents believe would benefit from greater assistance include initial setup and architecture design, ongoing maintenance of OSS implementations and improved access to training, among others.


Digital transformation requires more than the mere adoption of new technologies; it demands an ongoing, holistic approach. There are a host of OSS factors that, left unchecked, could result in disaster for businesses and their bottom line.

External OSS Guidance Leads to Better Business Outcomes

In the Forrester report, nearly every respondent who adopted open source experienced at least one of its benefits, including greater flexibility, faster product innovation, enhanced employee experiences, lower operational overhead and better customer satisfaction. However, those who added ongoing external support services to their open source strategy were 82% more likely to report that they exceeded business expectations, underscoring the tremendous cost-benefit of third-party support.


Despite these findings, many organizations have not optimized their OSS strategies with enterprise-level support and maintenance — effectively missing out on such benefits as greater flexibility, efficiency and innovation.

For those enterprises that are eager to close this gap, but are unsure of where to start, consider conducting an internal audit of the key areas required of a robust OSS strategy: security, support and maintenance.

Businesses should ask themselves the following questions to help pinpoint their current position:

■ Are the business-critical components you are using supported commercially?

■ Do you oversee or monitor the OSS packages teams are allowed to deploy?

■ How often do you experience expensive service interruptions or outages?

■ Do you find that architectural changes are necessary to resolve production issues?

■ How much time do your developers spend engaging in support roles?

If IT and DevOps teams are spending most of their time fixing bugs, self-supporting or rearchitecting applications, it may be time to tap a third-party support group to manage the many moving parts associated with a fully-realized open source strategy. Not only will added support and skills better position enterprises for long-term IT excellence, but it'll quickly catapult them into the elite 82% of organizations outpacing their business goals.

Rod Cope is CTO of Perforce Software

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While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

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