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Merging Business Logic and DevOps

I remember recently sitting with one of our application owners, trying to figure out why automation initiatives felt perennially stuck. Everyone on the infrastructure side had scripts that handled tedious tasks, and our development teams had pipelines that delivered code faster than ever — yet executives remained stuck on why automation wasn’t creating the kind of business impact they had expected. The answer was simple: We had never articulated our work in terms of the goals they focus on. In other words, I saw that bridging the gap between DevOps and business logic was the way past the buy-in ceiling.

Where DevOps Hits the Business Wall

DevOps started as a way to merge the needs of developers and infrastructure engineers so code could flow from commit to production in a seamless pipeline. That approach dramatically cut the time it took us to deploy new features, and it reduced environment inconsistencies that usually caused failure. Those early gains were dramatic — fewer manual handoffs, more frequent releases and far less friction between dev and ops.

Yet I kept noticing that DevOps alone didn’t help me answer bigger questions like, “How does this release improve our margins?” or “Where do we see profitable opportunities for automation?” Developers focused on bug fixes and features, and infrastructure folks prioritized stability and performance. Neither side was accountable for tying these deployments to corporate growth or profit goals. The impact is there. A study examining DevOps implementations found that organizations that embedded business-facing roles into DevOps practices saw measurable financial benefits, including revenue increases and faster time-to-market, reinforcing the importance of aligning development efforts with corporate objectives.

That misalignment is also what prevents organizations from moving beyond departmental automation into business-driven outcomes. It’s one thing to automate code deployments; it’s quite another to automate an entire client onboarding process with cost controls, compliance reviews and marketing triggers baked right in.

The Business Logic Layer

Rather than hoping that new features alone — fancier CI/CD tools, or better infrastructure monitoring — will deliver a business advantage, it means threading revenue goals, product metrics, compliance thresholds and even marketing feedback loops into the same pipeline that developers use. When the pipeline can incorporate these upstream needs, a new product launch automatically triggers finance approvals, governance checks and environment provisioning without manual sign-off. That’s when my scripts stop looking like pure tech solutions and start looking like measurable ROI. This alignment is what separates DevOps as an efficiency tool from DevOps as a revenue enabler.

The Critical Role of Application Owners and Product Managers

An application owner is usually close enough to the code to understand how it’s built and close enough to the business to know why it’s built. The same is true of product managers who have to balance feature sets with market demand. They are the natural bridge between a pure DevOps mindset and the more complex perspective an executive might have.

I’ve seen these roles act as the translation layer. They take business requirements and shape them into tasks that developers can automate. They also bubble up constraints — like compliance or security standards — that infrastructure teams enforce. When these roles gain a say in how the pipeline itself operates, we can stop limiting our automation to low-level tasks and start automating real business workflows. Companies that have taken this approach have reduced financial processing errors by 80%, demonstrating the power of automation when applied beyond deployment workflows.

Automation as a Business Force Multiplier

Once product and application owners map out key business outcomes, we can embed them in DevOps pipelines. Many of us start with a string of scripts that manage simple chores like environment provisioning. That’s Stage 1 or 2 in the typical automation maturity model. By the time we’re hitting Stage 4 or 5, an entire product release or a client onboarding becomes a single automated workflow. It touches CRM entries, compliance gating, network segmentation, and deployment to production without anyone having to do it manually.

I’ve watched this reduce wait times for new product deployments from weeks to hours, save operating costs by ensuring we’re not over-provisioning resources, and improve a sales team’s close rates because they can promise faster delivery. Without strong ties to business logic, those same DevOps practices remain restricted to IT cost savings. With business integration, they become revenue and margin drivers. BMW’s process automation efforts in their supply chain demonstrate this impact at scale — shorter production cycles and substantial cost savings directly resulted from enterprise-wide automation.

Empowering Non-Technical Teams

It’s tempting to assume that only developers or infrastructure engineers benefit from pipeline insights. When business logic provides a bridge to marketing, HR, finance, or support teams, they suddenly see ways to automate their own workflows — like a marketing campaign that syncs with staging releases to gauge new features for promotional materials, or an HR system that automatically spins up application access for new hires.

Some of the hardest transitions happen here because non-technical teams may not see their goals as targets for automation. I show them that well-designed DevOps toolchains can be configured to automate tasks in plain language. If finance has to do an audit or a compliance check, we can embed it as a pipeline gate that no new product feature can bypass. That standard keeps us secure, and it keeps finance engaged in real-time. Organizations that introduce automation broadly across teams not only see efficiency gains but also a significant boost in employee satisfaction, with 65% of knowledge workers crediting automation for reducing stress and improving workflows. And in this way, it’s only by adopting the enterprise-wide language of business that DevOps can deliver its full value.

June 17, 2025
Why Validated DevOps is the Path Forward for Regulated Software
Imagine if the life-saving medical devices you rely on — such as pacemakers, insulin pumps, or advanced surgical robots — were developed faster and more efficiently, all while maintaining the highest safety standards. Wouldn’t you trust v.50 of a pacemaker over v.2? That’s the promise of validated DevOps, a groundbreaking approach that combines the speed of modern software development with the rigorous validation required for safety-critical product compliance. 

Traditional software development often prioritizes speed, which can conflict with the stringent validation and risk management processes demanded by regulators such as the FDA, leading to delays in delivering life-saving devices. Validated DevOps bridges this gap by enabling software teams to work with the efficiency of unregulated sectors while adhering to strict safety requirements. It’s that behind-the-scenes engine that drives medical breakthroughs, transforms healthcare and sets a new standard for other safety-critical sectors.

Validated DevOps Brings Together CI/CD and Compliance

At its core, validated DevOps brings together continuous integration and continuous delivery (CI/CD) with compliance-by-design principles. This means that every software update, whether a bug fix or a new feature, is automatically tested and documented to meet FDA requirements. Instead of waiting weeks or months for manual validation, medtech companies can move forward in hours or days, accelerating the pace of innovation without compromising safety or quality. 

Automated testing tools are typically a part of a CI/CD pipeline, detecting bugs early and preventing costly errors from progressing further down the pipeline. With rapid feedback to developers, organizations can iterate faster with more reliable software releases.

In addition to automating processes such as test case execution, validated DevOps tools also streamline documentation generation and version control, reducing human error and ensuring that no critical step is overlooked. By embedding compliance checks into the development process, validated DevOps ensures:
- End-to-End Traceability and Documentation: Every change made to the software is logged and traceable, creating a clear audit trail that simplifies compliance efforts. This step ensures teams can easily demonstrate regulatory adherence and accountability, which is critical for AI-powered products in regulated environments.
- Enhanced Collaboration: Validated DevOps fosters better collaboration among development, quality assurance and regulatory teams. Instead of working in silos, these groups operate within a unified platform where data, updates and approvals are accessible in real time. This effort not only reduces miscommunication but also provides a single source of truth for audits and FDA submissions.
The Promise — and Challenge — of AI/ML in Regulated Software

You can’t read about healthcare today without mention of artificial intelligence and machine learning (AI/ML) offering smarter, more personalized solutions for patients. But AI’s inherent statistical nature introduces unique challenges for validation and safety. Ensuring compliance in AI/ML-based systems requires subject matter expertise (SME), purpose-built tools and frameworks such as validated DevOps to enforce rigorous standards while enabling innovation. Key considerations include:
- Statistical Nature of AI Models: AI systems often produce varying results because they rely on probabilities rather than fixed outcomes. Validated DevOps helps ensure these systems meet stringent safety requirements by providing frameworks for rigorous testing, validation and monitoring.
- Faster Updates for Smarter AI: AI/ML models often rely on real-world data to improve performance. Validated DevOps enables teams to update these models rapidly while maintaining compliance, ensuring that products such as diagnostic tools or wearable health devices deliver the most accurate results without delay.
- Trust and Transparency: Regulatory agencies demand detailed explanations of how AI models are trained, tested and deployed. Validated DevOps provides tools for documenting these processes, helping companies build trust with regulators and users alike.
- Cost Efficiency and Scalability: Traditional regulatory processes are time-consuming and costly, making it difficult for startups or resource-limited companies to innovate. Validated DevOps streamlines these processes, enabling organizations to scale AI-powered products efficiently without sacrificing quality or compliance.
The emerging platform category of connected lifecycle management (CLM) is considered the best practice for implementing validated DevOps. It enables MedTech teams to manage every phase of the software lifecycle — from development to postmarket surveillance — for a faster and more compliant release process. A CLM platform connects different development tools and quality systems, automating the enforcement of quality SOPs and documentation across those tools. While built to support modern cloud, mobile and embedded software development, CLM is particularly well-suited to the unique complexities of AI/ML-powered applications.

For the first time, with validated DevOps, companies in highly regulated markets can take advantage of the benefits DevOps provides to more traditional software developers, including:
- Faster Time-to-Market: Automated testing and documentation eliminate bottlenecks, allowing organizations, from startups to large enterprises, to release software updates in days rather than months.
- Improved Software Quality: Continuous testing catches issues early, reducing the risk of recalls and ensuring safer, more reliable devices.
- Cost Efficiency: Streamlined processes and fewer manual tasks cut costs, making it easier for startups to compete in a resource-intensive industry.
- AI/ML Integration: Purpose-built tooling enables the safe, compliant use of advanced AI/ML technologies.
The impact goes beyond healthcare, delivering safer, more reliable and faster-to-market innovations in industries, from medical devices to automotive and energy. Whether it’s an AI-powered diagnostic tool, autonomous vehicle software, or critical infrastructure systems, validated DevOps ensures these technologies are developed with the precision and speed required to improve lives and outcomes globally.
January 30, 2025
Ready or Not: U.S. Tech Companies Must Be Ready for EU Accessibility Compliance Rules
On June 28, 2025, the European Union’s Accessibility Act (EAA) will take effect, and the ripple effects will be felt far beyond Europe’s borders. U.S. companies that do business in Europe or serve European customers online must comply, or risk facing steep penalties, reputational damage and lost revenue. With 1.3 billion people worldwide living with disabilities (16% of the global population), including 87 million in Europe, the EAA represents a massive market opportunity for businesses willing to embrace accessibility.

On the other hand, for those who drag their feet, the cost of non-compliance could be devastating.

The EAA impacts a wide range of industries, from e-commerce and banking to telecommunications and transportation. U.S. companies that sell products or provide digital services to European customers must ensure their offerings meet stringent accessibility standards by June 2025.

This includes ensuring that digital interfaces are compatible with assistive technologies, providing alternative formats for content and ensuring navigation is intuitive for users with disabilities. For example, a U.S.-based company with a Shopify storefront that ships to Europe must ensure that its e-commerce platform complies with accessibility guidelines. With more than 30% of international travelers to the U.S. coming from Europe, hospitality businesses like hotels and cruise lines must ensure their digital platforms meet EAA standards, especially for European customers who rely on digital bookings.

Steps to Compliance

To comply with the EAA, U.S. companies must start now by taking several concrete steps:
1. Assess and Adapt Digital Offerings: Conduct an audit of current digital products and services. Many websites fall short in accessibility; studies have shown that 96.3% of the top website homepages still have accessibility failures.
1. Implement Accessible Design Principles: Companies must ensure user-friendly interfaces that work for all users, regardless of their abilities. Features like intuitive navigation, keyboard shortcuts and compatibility with screen readers are crucial.
1. Test Continuously for Compliance: Continuous testing is key to maintaining compliance. This involves integrating accessibility testing into product development from the beginning to ensure that digital offerings remain compliant as new features are added.
1. Engage Disabled Users in the Design Process: By involving people with disabilities in product testing, companies can ensure that their digital platforms address real-world challenges.
Implementing these changes will be challenging. Many U.S. companies may find that retrofitting their digital offerings with accessible features requires significant investment or will struggle with balancing accessibility with other operational priorities. For example, overworked development teams must learn and implement new standards while minimally disrupting existing workflows. This underscores that accessibility must be prioritized from the top down, meaning leadership must allocate the necessary resources to comply.

Risks for Non-Compliant Companies

Failure to comply with the EAA comes with substantial risks, both financial and reputational. Non-compliant companies could face fines that vary by EU member state or even see their websites or services temporarily shut down. The exact penalty can vary — for example, a smaller e-commerce site that isn’t compatible with screen readers could face fines up to $16,500, while larger corporations may incur penalties as high as $22,000 for each non-compliant store in their network. These fines can quickly add up, especially for businesses with extensive digital operations

The reputational and brand cost of being labeled inaccessible should not be overlooked. Given that 70% of consumers say a poor digital experience affects their purchasing decisions, companies that fail to prioritize accessibility may find themselves losing market share.

And keep in mind that the EU has a track record of strict enforcement of digital regulations, as seen with the GDPR and the EAA will likely follow suit. As of March 2024, the CMS enforcement tracker database recorded 2,086 fines for GDPR violations, totaling over €4 billion.

The Benefits of Compliance

However, the benefits of achieving EAA compliance are substantial. By making digital products accessible, U.S. companies can unlock a huge market totaling over $6 trillion. Accessibility offers a path to increased market share and improved user satisfaction. Additionally, accessible design tends to enhance the user experience for all users, improving website usability and boosting customer retention. By investing in accessible technologies such as AI-driven content adaptation and voice recognition, US businesses can further improve their customer experience while ensuring compliance. Companies that embrace inclusive design can see significant improvements in customer loyalty, reduced bounce rates and better overall brand perception.

The time to act is now. The EU’s Accessibility Act is more than a compliance issue — it is a call to action for U.S. companies to rethink how they design and deliver digital experiences. With a deadline that is fast approaching, companies that begin early will not only avoid penalties but also position themselves as leaders in inclusive design.

In the long run, accessibility is not just the right thing to do — it is a business imperative that levels the playfield and opens up new markets that will benefit everyone.
January 23, 2025
Understanding Liability in Software Development: Minimizing Legal Risks
As software’s importance in modern life and business has grown, so has the responsibility on developers’ shoulders. Creating a reliable, well-functioning and original piece of programming is no longer simply a matter of competitiveness. Development today also carries significant legal implications.

Types of Software Liability Concerns

Software liabilities can stem from many areas. Developers must understand how they may be legally responsible for their products’ outcomes to remain compliant and avoid hefty penalties.

Intellectual Property

One of the most obvious legal software concerns is the issue of intellectual property (IP). While any original code is developers’ own IP, many programs borrow frameworks and tools from others. Up to 90% of modern software solutions use open-source resources, which can complicate ownership.

Despite being open by definition, many open-source tools rely on proprietary expressions of this code. Consequently, formal disclosure or licensing may be necessary to use and profit from it. AI-generated code introduces additional concerns, as it may unintentionally take from open-source but licensed libraries.

Data Privacy

Any program that gathers or uses people’s information may also be liable under privacy regulations. These laws vary by location and scope but typically require software to instill proper protections against breaches and allow users to opt out of some data collection.

California has the strictest privacy laws in the U.S. right now, but developers in other states may need to comply with them if they have Californian customers. Similar situations apply to other nations’ regulations, too.

Cybersecurity

Similarly, developers must ensure their software has sufficient cybersecurity protections. While user error accounts for many attacks, the fault can fall to developers if courts deem they did not meet a reasonable standard of protection. Regulations in this area will likely grow increasingly stringent as cybercrime becomes a more prominent issue.

Software Reliability

How well a program serves its intended purpose can also introduce liability concerns. For example, industrial control software that fails and leads to equipment damage could leave developers responsible for the fallout.

What this category entails and how high the standards are vary by industry and use case. In general, developers should be careful to ensure their products are as functional as possible.

Steps to Minimize Software Liability Risks

Developers should take steps to minimize liability risks across all these categories. While specific measures vary between applications, here are five universal best practices to implement.
1. Document Everything
One of the most important steps is to keep detailed records of the entire development process. Failure to prove how a business complied with given regulations can introduce transparency concerns. Considering how litigation through the False Claims Act has resulted in $44.7 billion in judgments for misleading practices, it is best to avoid these gaps.

This documentation should include specific compliance steps developers take, what software libraries and tools they use and how they protect user data. Organizations should always review applicable regulations to see what other evidence they may need to compile to remain compliant.
1. Standardize Contracts and Disclosures
Similarly, developers should use standard contract formats under whichever regulations apply to them. These may include end-user agreements, licensing documents, privacy policies and warranties. Standardization will make it easier to ensure documentation is legally sound and streamline the compliance process between different products.

The same should apply to disclosures, such as those about what data a program collects. Many privacy regulations require such transparency, and it is best to include them even when laws do not mandate it, just to be safe.
1. Test Software Thoroughly
Rigorous testing is crucial during development. Unpatched faults and glitches can lead to significant liability issues, especially when the problem concerns user safety. Consider how Tesla had to recall 158,000 models after a system error took important car features offline.

While it is impossible to prevent every potential bug, the law generally requires companies to do all they can to address potential problems before a product’s launch. A DevSecOps approach can help by integrating regular testing into the development process, making it easier to find and fix issues.
1. Maintain Ongoing Legal Research
Ongoing adjustment is also necessary. Laws and regulations change frequently — seven states passed data privacy legislation in 2023 alone — so developers must stay on top of regulatory changes to remain compliant.

Partnering with legal experts is critical. Businesses should review their legal standings and emerging trends that may affect them at least once a year. Automated compliance software can help with this, but it is not a reliable replacement for human professionals.
1. Consider Liability Coverage
Developers may want to see if liability insurance is necessary. While this coverage does not make organizations immune to legal challenges, it can mitigate the costs if an incident arises. Not every business has enough liability to warrant such insurance, but larger organizations or those dealing with particularly stringent laws may benefit from it.

Developers Must Take Software Liability Seriously

Software liability will only become more important as digitization increases. Developers must take the time today to review where they fall under applicable regulations and how they can minimize their legal risk. Failure to manage such issues before an incident can result in massive fines and penalties.
January 21, 2025
Succeeding at DevSecOps Requires a Rubric for SDLC Governance
In January 2024, the New York Times experienced a significant breach due to an exposed GitHub token, resulting in the theft of 270GB of sensitive data, including IT documentation and infrastructure tools. This incident is just one of many examples that underscores the urgent need for robust security measures throughout the software development lifecycle (SDLC).

In today’s world, software developers are our source of product; they are the workhorses in a booming digital economy. However, the productivity demands placed on developers often lead to a deprioritization of SDLC security measures. For example, when VPs of Engineering give large developer teams broad permissions across a code repository in the interests of speed, they may inadvertently create a large attack surface vulnerable to a single compromised account.

DevSecOps, a term that encompasses the combined efforts of development, security and operations acting as one unit, is an urgent security requirement for any CISO. By breaking down DevSecOps into four essential pillars – identity governance, CI/CD governance, code governance and SDLC compliance – organizations are provided with a rubric for preventing SDLC breaches. This framework also helps define a new category of security for development environments, referred to as SDLC governance.

The Four Pillars of SDLC Governance

Securing an SDLC is a monumental task. It’s not a simple shift left from the cloud infrastructure. Rather, an SDLC environment includes code repositories, run time environments, artifact repositories, open-source code scanners, secret managers, CI/CD tools and much more. These are four pillars to comprehensively wrap our heads around the SDLC Governance problem set:
- Identity Governance: Ensure that each developer and service account has the entitlements needed to do their job – no more, no less. Implementing strict identity governance policies limits access to only what is necessary, reducing the risk of unauthorized access that can lead to breaches. Additionally ensuring that Insider risk and external identity risky behavior are rapidly detected and contained is critical to mitigate SDLC identity risks.
- CI/CD Governance: Maintain consistent security postures for integration and deployment tools based on the context in which the application is being deployed. This means understanding the bespoke needs of each application that CI/CD tools apply tailored integration and deployment procedures.
- Code Governance: Assign an identity, date and time for the import of every package in the repository. This includes monitoring for secret leakage, static application security testing (SAST) vulnerabilities and performing infrastructure as code (IaC) Terraform scans.
- Compliance: Automate continuous compliance detection and remediation according to the relevant standards. By automatically detecting compliance failures and remediating them in real-time, organizations can meet industry standards and avoid potential fines or penalties.
Before implementing an effective SDLC Governance model, engaging stakeholders across the organization is critical. CISOs should collaborate with engineering leaders, AppSec leaders, DevOps leaders and compliance officers on SDLC security and governance policies to ensure that all aspects of security are considered and addressed.

Framework Implementation and Overcoming Challenges

Strong leadership from the CISO is essential to successfully implement this framework. However, many of the challenges CISOs face are not technology problems—they are cultural problems. As the primary advocate for security, the CISO must conduct thorough research to understand the organization’s specific security needs and challenges. Engaging staff and functional heads, the CISO must present evidence of potential threats and develop policies that balance productivity with robust security measures.

One major challenge is a culture where CISOs may defer to functions where IT is a core competency, often presuming that they understand the security risks the teams are taking. Another challenge stems from the nature of high-growth technology companies, where aggressive growth targets push engineering teams to prioritize speed over security. This “go, go, go” mentality leads to governance and security measures becoming secondary concerns.

Embracing SDLC Governance for a Secure Future

While the challenges of implementing SDLC Governance can be daunting, the successes CISOs have achieved in securing cloud infrastructure demonstrate what’s possible. Consider the rapid evolution from on-premise security, which took decades to perfect, to the seamless adoption of public and private cloud solutions in just a few years. CISOs have been instrumental in this transition, bringing in numerous developer tools and helping push products quickly. Not to mention, CISOs never get credit for all the breaches that don’t happen, yet they remain on their toes and are willing to talk to innovators to find solutions. Because of their work, I truly believe this industry can solve anything.

As businesses across all industries now rely heavily on software development, the urgency to integrate security into the DevOps process has never been greater. The nefarious attacker continues to experiment and exploit weaknesses in critical infrastructure. The recent battery of SDLC-focused attacks highlights the need for robust security measures in the manner in which software is built. It’s no longer sufficient to only protect the cloud in which the application is hosted.

If you’re waiting for the ASPM market to shift left, I’d offer that SDLC Governance is too complex for it to be done comprehensively by a typical cloud security provider. DevSecOps is its core competency and requires specialty tools and services to secure. Now is the time to engage your SDLC stakeholders and begin the journey of securing your development pipelines — the future of your organization’s security depends on it. Implementing an SDLC Governance framework that encompasses identity, CI/CD and code governance, as well as compliance will ensure that security is an integral part of your development process, safeguarding critical assets and fostering a culture of shared responsibility.
July 26, 2024
Survey Surfaces Troubling Signs of Software Supply Chain Insecurity

A global survey of 1,224 software engineering professionals working at organizations with more than 1,000 employees suggests a significant gap has emerged between what senior executives believe is being done to improve application security and what might actually be occurring.

Conducted by Atomik Research on behalf of JFrog, a provider of a DevSecOps platform, the survey finds that 67% of the 331 executives and managers surveyed believe code-level security scans are conducted regularly but only 41% of the developers concurred.

A full 88% of executives also said they believe artificial intelligence AI and machine learning tools are being used for security scanning and remediation processes. However, only 60% of DevSecOps teams reported they are actually using these tools. Just over 90% of executives also believe they are using machine learning models in their software applications, whereas only 63% of developers confirm that is true.

Similarly, 92% of executives claim their organizations possess tools to detect malicious open-source packages, while only 70% of developers agreed.

JFrog Field CISO Paul Davis said the disconnect between executives and rank-and-file developers most likely stems from the simple fact many organizations are still on the journey when it comes to re-engineering DevSecOps workflows. The challenge is each organization is starting that journey from a different place and as such they are progressing at different paces that are often difficult to quantify.

Making matters more challenging, however, is the fact that only 30% of all survey respondents identified the need to address vulnerabilities in their software supply chain as a top security concern. It’s not exactly apparent why less than a third of respondents are concerned about vulnerabilities despite their prevalence but the survey results suggest there is either a level of potential overconfidence or that other more pressing issues might be taking precedence.

Securing Software Supply Chains With or Without Regulation

It’s not clear how much influence regulations might have on spurring organizations to better secure their software supply chains. The European Union (EU), for example, is advancing the Cyber Resilience Act (CRA) that requires organizations to secure the software supply chain for any software that is sold, but other countries have yet to follow suit. In the absence of an actual regulation, it’s up to each organization to determine how best to secure its software supply chain against cyberattacks.

The most common form of those attacks typically involves stealing the credentials needed to access an application development environment. Once cybercriminals gain access, they will over an extended period attempt to embed malware into a workflow in the hopes that malware will find its way into multiple downstream applications. At the same time, cybercriminals are also targeting open-source software repositories by pretending to be interested contributors, before similarly injecting malware into a tool or software component that might be used by thousands of organizations.

Hopefully, advances in artificial intelligence (AI) will soon make it easier to identify and remediate these types of threats. In the meantime, however, the level of disconnect between developers and managers concerning what is being done to ensure software supply chains are secure is, at the very least, disconcerting.

July 19, 2024
SEC Introduces Enhanced Climate-Related Disclosure Rules
The Securities and Exchange Commission (SEC) has adopted new rules to enhance and standardize climate-related disclosures by public companies and in public offerings. These rules aim to meet investor demands for consistent, comparable, and reliable information on the financial effects of climate-related risks on companies’ operations and their risk management strategies.

The Importance of Transparency

According to SEC Chair Gary Gensler, the initiative is based on the principle that investors should be able to make informed decisions based on companies’ complete and truthful disclosures. The regulations introduce comprehensive requirements for disclosure of significant climate-related risks and their efforts to address them.

Key Aspects of the SEC Rules:
- Mandatory disclosure of climate-related risks that significantly affect or are likely to affect a company’s strategy, operations, or financial condition.
- Details on efforts to mitigate or adapt to climate-related risks, including financial expenditures.
- Disclosure requirements for climate-related targets or goals and their impacts on the company.
- Requirements for certain companies to report Scope 1 and Scope 2 emissions, with an accompanying assurance report. (Scope 1 emissions are direct emissions from owned or controlled sources, while Scope 2 emissions are indirect emissions from the generation of purchased electricity, steam, heating, and cooling consumed by the reporting company.)
Phased Implementation and Review Process

Set to become effective 60 days after publication in the Federal Register, the rules will be implemented in phases based on the filer status of registrants.

Strategic Implications for DevOps and Cloud Computing

The new SEC rules could catalyze a strategic pivot in DevOps and cloud computing towards more sustainable practices. Specifically, they may further incentivize the development of tools and methodologies for accurately measuring and managing Scope 1 and Scope 2 emissions. New roles or teams may be dedicated to environmental impact analysis within IT departments. These shifts would ensure sustainability becomes a core consideration in tech deployment strategies.

Driving Innovation for Greener Technology

Software solutions that automate the tracking of energy consumption and emissions data across cloud and on-premises environments may see increasing demand. Particularly as organizations seek actionable insights for reducing carbon footprints.

This emphasis on detailed climate-related disclosures may also serve to drive innovation in cloud infrastructure design and management. For example, cloud service providers might introduce new features or services that enable customers to more easily assess and optimize the environmental impact of their cloud usage.

This could lead to the adoption of more energy-efficient computing resources, such as serverless architectures. Dynamically allocating resources could be prioritized to reduce unnecessary energy consumption

Advancing Eco-friendly Solutions with AI

These new rules amplify the global lean into AI for faster and more effective solutions. Utilizing predictive analytics and machine learning, AI can accurately forecast computing demand and make changes in real-time. This ensures that energy consumption closely matches actual usage, minimizing waste and reducing both operational costs and environmental impact.

Balancing AI’s Energy Demand

The flip side, though, is the high energy demands of AI. The new SEC rules will likely place an increasing focus on creating and implementing AI algorithms that are both potent and energy-efficient.

Look for greater focus on AI-driven cooling systems for data centers and the use “lightweight” AI models that require less data and computing power for training and

operation. Such models aim to maintain high efficiency while drastically cutting down the energy needed for their training and inference phases. All striving towards the broader goal of making AI more environmentally friendly.

Sustainability and Innovation: The Path Ahead

With the implementation of the SEC’s new rules, the landscape of corporate reporting and technology development is poised for significant change, emphasizing the importance of sustainability and environmental considerations in business strategies and operational practices.
March 6, 2024
Hybrid Cloud in 2024: Trends and Predictions

Hybrid cloud environments are becoming increasingly pivotal for DevOps teams, primarily due to their ability to bridge the gap between the rapid deployment of public cloud resources and the security and control of private cloud infrastructure. This blending of environments provides DevOps teams with flexibility and scalability, which is crucial for operating continuous integration and continuous deployment (CI/CD) in large enterprises.

In a hybrid cloud setup, DevOps teams can swiftly deploy and test new applications in a cost-effective and scalable public cloud environment. Once the applications are ready for production, they can be seamlessly transitioned to a private cloud or on-premises environment, where they benefit from enhanced security and control. This allows DevOps teams to optimize their workflows, reduce time to market, and respond more effectively to business needs.

The hybrid cloud also enables a more collaborative and agile working environment. DevOps teams can leverage various tools and platforms available in the public cloud while ensuring that sensitive data and critical applications are securely managed in the private cloud. This both enhances operational efficiency and improves compliance with data governance and regulatory requirements. These benefits will make hybrid cloud an indispensable asset for DevOps teams in 2024 and beyond.

What is a Hybrid Cloud?

Let’s start with a brief definition. A hybrid cloud is a computing environment that combines a public cloud and a private cloud by allowing data and applications to be shared between them. This combination allows businesses to enjoy the best of both worlds, leveraging the scalability and cost efficiencies of public cloud platforms while enjoying the security and control offered by private cloud infrastructure.

This hybrid cloud model provides businesses with more deployment options and greater flexibility to scale computing resources. It also helps in reducing capital expenditure and improving security by allowing sensitive data to be stored on a private cloud. A hybrid cloud strategy enables businesses to allocate resources efficiently, keeping less critical applications on the public cloud, while mission-critical applications run on the private cloud.

Current State of Hybrid Cloud Computing

The hybrid cloud market is in a state of rapid growth and evolution. As businesses increasingly recognize the benefits of a hybrid approach, the adoption of hybrid cloud strategies is on the rise.

In a world where digital transformation is the norm, hybrid cloud computing has emerged as a key enabler. It offers the flexibility needed to adapt quickly to changing business conditions, the scalability to handle sudden increases in workload, and the security to protect sensitive data. These benefits have made hybrid cloud a cornerstone of digital transformation strategies.

However, the journey to hybrid cloud is not without its challenges. Businesses are grappling with issues related to data security, compliance, integration, and management. There are also complexities related to workload portability, interoperability, and the need for skilled resources. Despite these challenges, the adoption of hybrid cloud continues to grow as businesses seek to leverage its benefits to drive innovation and competitive advantage.

Emerging Trends in Hybrid Cloud for 2024

Increased Adoption Across Industries

Many industries, including the banking and finance sector, healthcare, retail, manufacturing, and even the government sector, are seeing increased adoption of hybrid cloud strategies. This trend is driven by the need for greater agility and flexibility, better cost management, and improved security and compliance.

In the healthcare sector, for example, hybrid cloud is enabling the integration of disparate systems, facilitating the sharing of patient data, and supporting telehealth initiatives. In the banking sector, it is helping to manage risk, improve customer experiences, and drive innovation. In retail, hybrid cloud is supporting omnichannel strategies, personalizing customer experiences, and improving supply chain efficiency.

Advancements in Cloud Technology

The hybrid cloud landscape in 2024 will be shaped by advancements in cloud technologies. Technologies like containers and Kubernetes are simplifying the deployment and management of applications, making it easier for businesses to adopt a hybrid cloud strategy. The rise of serverless computing is also contributing to the growth of hybrid cloud by eliminating the need to manage servers and allowing developers to focus on writing code.

Furthermore, advancements in networking technologies are making it easier to connect and integrate public and private clouds. The emergence of 5G is expected to further accelerate the adoption of hybrid cloud by providing the high-speed connectivity needed to support real-time applications.

Integration of AI and Machine Learning

The integration of artificial intelligence (AI) and machine learning (ML) into hybrid cloud environments is a trend that is rapidly gaining momentum. One key aspect of this integration is the ability to use AI for better resource management within the hybrid cloud. AI algorithms can analyze patterns in data usage and application performance, allowing for more efficient allocation of resources across public and private cloud environments.

Furthermore, AI and ML are also facilitating better data management and analytics. Cloud-based services are making AI/ML more accessible to businesses of all sizes. By integrating these technologies, businesses can unlock insights from vast amounts of data stored across different cloud environments.

Predictions for Hybrid Cloud in 2024

Growth in Edge Computing Integration

By 2024, the integration of edge computing with hybrid cloud architectures is expected to grow significantly. Edge computing brings data processing closer to the location where it is needed, optimizing response times and saving bandwidth.

In a hybrid cloud context, this means that organizations can process critical data at the edge, in real-time, while still leveraging the cloud for less time-sensitive tasks. This integration is particularly beneficial for industries like manufacturing and autonomous vehicles, where real-time data processing is crucial. The combination of edge and hybrid cloud computing enables businesses to harness the power of cloud computing while maintaining the speed and efficiency of edge processing.

Improved Security and Compliance Measures

In 2024, we anticipate significant advancements in the security and compliance aspects of hybrid cloud environments. As these environments become more complex, the need for robust security measures that span both public and private clouds is crucial. Enhanced encryption techniques, more sophisticated identity and access management systems, and advanced threat detection tools will become standard.

Additionally, we expect to see the development of more streamlined compliance benchmarks and frameworks designed specifically for hybrid cloud architectures, simplifying the process of adhering to various regulatory standards and ensuring data privacy and protection across multiple platforms.

Innovations in Cloud Management Platforms

The year 2024 is likely to witness substantial innovations in cloud management platforms, driven by the need to manage complex hybrid cloud environments more efficiently. These platforms will offer enhanced capabilities in terms of automation, orchestration, and unified management across multiple cloud services.

The use of AI and machine learning for predictive analysis, resource optimization, and proactive problem resolution will become more prevalent. These platforms will also provide better tools for cost management and analytics, giving businesses a more granular understanding of their cloud usage and enabling more cost-effective decision-making.

Customizable and Flexible Cloud Solutions

As hybrid cloud environments continue to evolve, 2024 will likely see a rise in more customizable and flexible cloud solutions tailored to specific business needs. Providers will offer a range of options that allow businesses to mix and match services from both public and private clouds, creating highly personalized cloud environments.

This customization will extend to aspects like security, performance, and compliance, allowing businesses to fine-tune their cloud infrastructure to their specific requirements. Such flexibility will be particularly beneficial for businesses in niche markets or those with unique operational needs, enabling them to leverage the power of cloud computing without compromising on their specific requirements.

Conclusion

By 2024, hybrid cloud computing will have significantly evolved, becoming a critical component in the digital transformation strategies of various industries. This technology offers a blend of public and private cloud benefits, crucial for DevOps teams in terms of flexibility, scalability, and security. The integration of advanced technologies like AI, machine learning, and edge computing will enhance resource management, data analytics, and real-time data processing. Additionally, the hybrid cloud’s role in ensuring agility, better cost management, and compliance is expected to drive its wider adoption across sectors like healthcare, banking, retail, and government.

The landscape will also see advancements in security and compliance, with sophisticated measures spanning both cloud types and cloud management platforms will evolve to include AI and machine learning for more efficient operations. Customizable and flexible cloud solutions will become prevalent, allowing businesses to tailor their cloud environments according to specific needs. Overall, hybrid cloud in 2024 will be a strategic enabler, equipping businesses with the necessary tools and capabilities to thrive in an increasingly digital world.

December 20, 2023
DevOps Strategies for Connected Car Development

The concept of smart, connected vehicles is no longer science fiction but a day-to-day reality. These vehicles, empowered by internet connectivity and a suite of digital technologies, offer unprecedented convenience, safety and entertainment features.

But as the cars on our roads become smarter and more interconnected, the complexity of developing their software systems multiplies. DevOps is emerging as an indispensable strategy for organizations in the connected car industry, bringing together software development and IT operations to streamline, optimize and accelerate the development life cycle.

This article briefly reviews connected car technology and explores several DevOps strategies that can support connected car development. We’ll discuss how DevOps can manage the complexity of automotive software, accelerate development speed without compromising safety and provide the essential tools for efficient building, testing and deployment in a highly regulated environment.

What Are Connected Cars?

Connected cars are vehicles equipped with internet access, allowing them to share data with devices both inside and outside the car. Essentially, they offer a multitude of features that make the driving experience more convenient, safe and enjoyable. While this technology is still in its nascent stages, it’s rapidly evolving, and soon, connected cars will become a staple on our roads.

These hyper-connected vehicles are part of a broader ecosystem that encompasses a network of physical objects—everything from other vehicles and traffic lights to pedestrian crosswalks and parking spaces—all connected by technology.

The potential of connected cars is immense. They promise to transform our lives in numerous ways, from reducing traffic congestion to improving road safety and revolutionizing the way we travel.

Key Features and Systems of Connected Cars

Infotainment Systems

An integral part of connected cars is the infotainment system. This comprehensive system provides both entertainment and information tailored to the driver’s needs. From navigation and music streaming to voice commands and hands-free phone calls, these systems are designed to enhance the driving experience while ensuring safety.

Infotainment systems also offer a wide range of services, such as real-time traffic updates, weather forecasts, and points of interest. They can connect with a smartphone, allowing users to access apps, make calls and send messages without taking their eyes off the road.

Telematics

Telematics uses GPS and onboard diagnostics to record and transmit data about the car’s performance, location and usage. It allows for real-time tracking of the vehicle, making it particularly useful in fleet management and stolen vehicle recovery.

Telematics data can also be used to assess driver behavior, monitor fuel efficiency, and predict maintenance needs. For instance, if the car’s engine starts showing signs of trouble, the telematics system can alert the driver and recommend a nearby service center.

Advanced Driver-Assistance Systems (ADAS)

Advanced driver-assistance systems (ADAS) are systems that help the driver in the driving process. These systems use sensors, cameras and radar to monitor the vehicle’s surroundings and assist the driver in various ways.

ADAS can provide features like adaptive cruise control, lane-keeping assist and automatic emergency braking. These systems not only enhance driver comfort but also significantly improve road safety by reducing the risk of accidents.

Vehicle-to-Everything (V2X) Communication

Vehicle-to-everything (V2X) communication is a key technology in connected cars. It enables vehicles to communicate with any entity that may affect the vehicle and vice versa. This includes other vehicles (V2V), infrastructure (V2I), pedestrians (V2P) and networks (V2N).

V2X communication can improve traffic flow, reduce accidents and enhance fuel efficiency. For instance, connected cars can receive information about road conditions, traffic jams or accidents ahead in real-time, allowing the driver to take appropriate action.

Over-the-Air (OTA) Updates

Over-the-air (OTA) updates are another key feature of connected cars. Similar to how you receive updates on your smartphone, OTA updates allow car manufacturers to update software, fix bugs or add new features remotely.

OTA updates can improve vehicle performance, enhance security and extend the vehicle’s lifespan. They can also add new functionality, allowing the car to stay up-to-date with the latest technology without the need for a physical visit to a service center.

Why DevOps is Essential for Connected Car Development

Addressing the Complexity of Car Software Systems

The connected car is a complex ecosystem of software systems. These vehicles have numerous systems that communicate with each other, the driver and the outside world. Managing the development of these systems can be a daunting task, and this is where DevOps strategies come in.

DevOps aims to shorten the system development life cycle and provide continuous delivery with high software quality. This methodology is particularly suited to the complex software systems of connected cars, as it encourages a holistic view of the development process, ensuring that all components work together seamlessly.

Moreover, DevOps helps to manage the complexity of car software systems by automating tasks, reducing errors and improving efficiency. The use of automated tools for configuration management, deployment and monitoring means less manual work, fewer mistakes, and quicker problem resolution.

Enhancing Development Speed Without Compromising Safety

One of the greatest challenges in connected car development is the need for speed. In this fast-paced industry, companies are under pressure to develop and deploy new features quickly to stay competitive. However, this must not come at the expense of safety, as any faults in the system can have dire consequences.

With DevOps strategies for connected car development, it’s possible to enhance speed without compromising safety. The DevOps approach emphasizes a culture of rapid and frequent deployments, coupled with rigorous testing to ensure quality. By integrating development and operations, it enables teams to work together more effectively, leading to faster development cycles.

Furthermore, the use of automation in DevOps allows for quicker detection and resolution of issues. Automated testing tools can run thousands of tests in a fraction of the time it would take a human, ensuring that any faults are identified and fixed before they can cause harm.

Building, Testing and Deploying Efficiently in a Regulated Environment

The automotive industry is heavily regulated, with strict safety and emission standards that must be met. These regulations add an extra layer of complexity to the development process, as they must be considered at every stage of design, testing, and deployment.

DevOps strategies for connected car development are well-equipped to handle this challenge. By implementing a continuous integration/continuous deployment (CI/CD) pipeline, teams can ensure that all changes are tested and validated against regulatory requirements before they are deployed. This not only ensures compliance but also saves time and resources by preventing issues from reaching production.

Additionally, DevOps encourages transparency and visibility across the development process, making it easier to demonstrate compliance to regulators. Through the use of version control systems, every change can be tracked and traced, providing a clear audit trail.

DevOps Strategies for Connected Car Development

Version Control for Connected Car Development

In any software development project, version control is vital. It allows developers to track and manage changes to their code, making it easier to collaborate and preventing conflicts. In the context of connected car development, version control becomes even more critical due to the complex and interconnected nature of automotive software systems.

Version control enables multiple teams to collaborate on projects without stepping on each other’s toes, using techniques like branching and merging. Furthermore, version control systems provide a history of changes, which is invaluable for debugging and understanding how the system has evolved over time. This can be particularly useful in a regulated industry like automotive, where there may be a need to provide an audit trail.

Continuous Integration and Continuous Deployment (CI/CD)

CI/CD is a core DevOps practice that involves integrating changes to the project regularly and automatically testing those changes to detect and fix problems early. The aim is to provide rapid feedback so that if a defect is introduced into the code base, it can be identified and corrected as soon as possible.

For connected car development, a robust CI/CD pipeline is essential. It allows for fast-paced development without compromising quality or safety. By automating the build, testing and deployment processes, teams can ensure that new features and updates are delivered quickly and reliably.

Automated Testing and Quality Assurance

Given the complexity of connected car systems and the potential consequences of a malfunction, rigorous testing is of paramount importance. However, manual testing is time-consuming and prone to error. That’s where automated testing comes in.

Automated testing is another key DevOps strategy for connected car development. By writing test scripts that can be run automatically, teams can save time, reduce the likelihood of human error and ensure comprehensive coverage of the system.

Moreover, automated testing tools can be integrated into the CI/CD pipeline, allowing tests to be run every time changes are made. This provides immediate feedback on the impact of those changes and ensures that any issues are identified and addressed as early as possible.

Infrastructure-as-Code (IaC) for Connected Car Environments

The final piece of the DevOps puzzle is infrastructure-as-code (IaC). IaC is the practice of managing and provisioning computing infrastructure through machine-readable definition files rather than physical hardware configuration or interactive configuration tools.

In the context of connected car development, IaC can be a powerful tool. It allows teams to create and manage their development, testing and production environments in a consistent and repeatable way. This not only enhances efficiency but also ensures that the environments are configured correctly and securely.

Moreover, by using IaC, teams can automate the creation and teardown of environments, saving time and reducing the risk of human error. IaC also supports version control, enabling teams to track changes and roll back to a previous state if something goes wrong.

Conclusion

In conclusion, connected cars represent a significant advancement in the automotive industry, but they also bring a host of development challenges. By adopting DevOps strategies for connected car development, companies can navigate these challenges and unlock the full potential of this exciting technology. From managing complex software systems to ensuring rapid and safe development, DevOps offers a robust and flexible approach that is tailored to the needs of the connected car industry.

December 8, 2023
3 Ways to Achieve Faster App Development Without Compromising Security

Bringing products to market quickly, efficiently and safely is key to brand success, and elite DevOps teams minimize the lead time for changes by quickly and efficiently moving new products and software updates from concept to deployment. DevOps teams often measure lead time in hours, not days, weeks or months, which underscores the centrality of speed in today’s hyper-competitive online environment. Customer experience and brand loyalty are constantly changing as new products and services come to market, and DevOps teams are under immense pressure to stay as agile and efficient as possible. Increased technology development velocity can lead to heightened security risks. As of early 2023, as many as nine out of 10 companies have detected security risks in their software supply chain. This is why companies cannot ignore the rising number of attacks targeting software development teams.

High-profile incidents at SolarWinds, NetBeans IDE, Kaseya and Codecov demonstrate the risks facing software development teams at every company.

These threats exploit the continuous integration and continuous delivery (CI/CD) process to sneak harmful software into authentic applications and install risky and harmful components whenever possible.

The risk of code injections makes safeguarding internal and external dependencies crucial. If not appropriately protected, compromised software pipelines can lead to data leaks, code tampering and system exploitations, putting the entire business at a heightened risk.

Simply put, DevOps teams must maximize development speed without compromising security. This is an undoubtedly tall order, but one that’s achievable with the right processes in place. Here are three strategies DevOps teams can implement immediately to reach this goal.

Streamline Privileged Access Management

Streamlining privileged access management is vital for enhancing cybersecurity in DevOps teams, particularly with the growing threats to software supply chains. This requires adopting stringent security practices, including temporary access permissions that can be granted and revoked as needed—a strategy ideal for managing temporary services in DevOps workflows.

This approach facilitates automatic management of access privileges, including revoking password permissions when team members leave the organization or project and thorough scrutiny of who has access to what.

At the same time, enforcing least privilege access, a principle that aims to minimize the attack surface by eliminating unnecessary permissions and adjusting overly broad ones, is also essential, reducing the chances of account hijacking or theft of static API keys.

Similarly, zero standing privileges are also essential, relying on just-in-time access management that ensures minimal active permissions at any given moment, enhancing security by reducing potential vulnerabilities.

Leverage AI Solutions for Security

The cybersecurity AI sector is soaring alongside escalating cybersecurity threats to DevOps teams.

Deloitte expects cybersecurity AI solutions to become a $19 billion market by 2025, as the technology’s “ability to adaptively learn and detect novel patterns can accelerate detection, containment and response, easing the burden on SOC analysts and allowing them to be more proactive.”

AI can help DevOps teams detect and prevent cybersecurity incidents by quickly identifying and monitoring applications at risk, ensuring greater resilience in their DevOps processes through CI/CD, applying analytics to streamline data challenges, and identifying potential hot spots before they escalate and present real risks.

AI can also help combat alert fatigue within security teams, reduce analyst workloads and cut down on false positives, saving valuable time. According to a 2022 IT industry study, 60% of respondents receive more than 500 cloud security alerts every day, and alert fatigue is “causing critical alerts to be missed at an alarming rate.”

By leveraging AI for cybersecurity, DevOps teams can enhance their defensive posture without diluting their team’s impact, allowing them to best balance speed and security in the app development process.

Enable Communication and Collaboration in DevOps Teams

In the realm of DevOps, success relies not only on implementing the right tools and technology but also on fostering an adaptive culture that encourages seamless communication and collaboration among team members.

Effective communication forms the bedrock of this cultural shift. By establishing clear lines of communication, development and operations teams can better understand each other’s challenges and perspectives. Open dialogues can foster mutual respect and create a shared understanding of common goals, thereby encouraging a collaborative problem-solving approach.

Meanwhile, fostering a collaborative culture is equally vital. When teams collaborate effectively, they can identify and resolve issues more quickly, improve the quality of the software, and accelerate delivery times.

Embracing Speed and Security in App Development

Achieving faster app development without compromising security is a complex yet achievable goal in today’s competitive environment.

By investing in streamlining privileged access management, leveraging AI and fostering a culture of effective communication and collaboration, DevOps teams can enhance both speed and security.

To be sure, in the face of escalating cyberthreats, speed and security are not mutually exclusive but, rather, two sides of the same coin. By implementing these strategies, DevOps teams can navigate this delicate balance, accelerating development timelines while ensuring robust security.

September 7, 2023