April 2025 Summaries

AI is significantly reshaping engineering teams' approach to velocity, security, and resilience in the software delivery lifecycle, prompting the need for updated tools like Harness's Engineering Excellence Maturity Assessment. The revised assessment helps organizations evaluate their DevOps readiness by reflecting changes brought by AI-powered development tools, increased regulatory demands, and evolving development environments. It features a maturity model aligned with the software development lifecycle (SDLC), focusing on areas such as Velocity, Resilience, Security & Governance, and Optimization to provide actionable insights for improvement. Notably, it includes a new section on AI integration, emphasizing the need for thoughtful governance and clear guidelines to realize productivity gains without compromising security. Additionally, the assessment addresses regulatory pressures, such as NIS2 and the DORA framework, by evaluating security integration across all SDLC phases. Martin Reynolds, the thought leader behind this initiative, draws on over 30 years of experience to offer practical insights and inspire organizations to enhance their DevOps, DevSecOps, and Developer Experience (DevEx) practices, promoting a culture of collaboration and continuous improvement.

In the fast-paced world of software development, achieving a balance between rapid releases and informed, data-driven product decisions is essential. Engineers utilize feature flags to ensure safe and efficient deployment, allowing them to manage rollouts and quickly address issues without redeploying code. Meanwhile, product managers focus on testing hypotheses and measuring the impact of new features through experimentation to ensure they align with business objectives and improve user experience. However, the complexity of setting up and analyzing experiments often poses a challenge, especially for non-technical team members. Harness Feature Management & Experimentation (FME) addresses these challenges by offering a unified platform that caters to the distinct needs of both engineers and product managers. By providing a streamlined and intuitive experimentation workflow, Harness FME empowers product teams to independently run tests and make data-driven decisions, while allowing engineers to concentrate on core development tasks. This integrated yet distinct approach enhances the development lifecycle, enabling teams to not just release features, but genuinely understand and optimize their value, ultimately fostering better products and outcomes.

Harness has reached a milestone by issuing its 3000th certification in the Harness Certified Expert series, which was introduced two years ago alongside the launch of the Harness Developer Hub. This certification program is designed to be attainable, challenging, and rewarding, providing structured learning paths and multiple levels of validation across the platform's numerous modules. The Harness University offers a variety of training options, from free self-paced webinars to paid instructor-led sessions, catering to different learning paces and time constraints. The program recently introduced a Certified Implementation Engineer track for partners, culminating in a capstone exercise and panel interview with Harness architects. Despite the rise of AI, foundational software delivery skills remain indispensable, and Harness offers a wide array of resources and tutorials for both novices and those seeking to enhance their expertise.

In the evolving landscape of software engineering, modern leaders must transition from instinct-based decisions to data-driven insights, as highlighted by Adeeb Valiulla. The Harness Software Engineering Insights (SEI) tool provides critical visibility into team dynamics, identifying bottlenecks, trade-offs, and areas of overcommitment, thereby enabling leaders to make informed decisions and improve productivity. SEI shifts focus from traditional output metrics to more nuanced storytelling of engineering activities, aligning efforts with business value and enhancing efficiency over growth. This approach not only streamlines processes and reduces administrative burdens but also preserves the creative space necessary for innovation and developer satisfaction. By connecting engineering efforts to tangible outcomes, SEI fosters a better developer experience and leadership model, preparing engineering leaders to excel with data, empathy, and strategic clarity in a time when efficiency and impact are paramount.

Integrating feature flags with Open Telemetry enhances observability by allowing developers to trace the impact of these flags on application behavior through span attributes, enabling the querying of traces based on specific flag states. The article discusses the benefits of this integration and provides a practical example using a Java-based Threaded Echo Server, demonstrating how feature flags can introduce new spans and affect performance. Honeycomb.io is used to track and display these effects, showing how feature flags can be linked to specific trace sessions, thus aiding in troubleshooting and performance analysis. The article also highlights that while feature flags are not ideal for bytecode instrumentation, they can be manually wrapped with spans to leverage Open Telemetry analytics, suggesting a future where spans could become synonymous with flags, allowing for dynamic control over live application code.

Traceable Cloud WAAP, developed by the merged entities of Harness and Traceable, represents a significant advancement in web application and API protection, designed specifically for cloud-native environments. Unlike traditional Web Application and API Protection (WAAP) solutions that focus on static perimeter defenses, Traceable Cloud WAAP offers real-time, behavior-based detection and unified protection throughout the software lifecycle. This innovation addresses the security challenges posed by modern, distributed applications, which rely heavily on APIs and evolve rapidly, often leaving legacy solutions inadequate. Key features include comprehensive API discovery, sensitive data flow mapping, and real-time runtime protection, all integrated seamlessly into existing environments for maximum deployment flexibility. By providing deep context and intelligence, Traceable Cloud WAAP helps security teams detect and respond to threats more effectively, ensuring consistent protection without hindering development speed. This launch underscores the unified vision of Harness and Traceable to create a seamless, AI-powered DevSecOps platform, enabling teams to defend against complex threats like bot attacks and API abuse while maintaining the agility and innovation essential for modern applications.

Harness Database DevOps addresses the challenges of managing database changes, which are inherently risky and complex compared to application code, by automating schema management, enforcing governance, and integrating changes into CI/CD workflows. It bridges the Developer-DBA divide by embedding database change policies and approvals into CI/CD pipelines, allowing developers to propose changes while DBAs maintain oversight, thus balancing speed and stability. Harness ensures safe schema migrations with automated rollback strategies and standardizes database deployments across environments to prevent production failures and ensure compliance. By treating database changes as code, Harness enforces governance without hindering innovation, using policy-as-code enforcement, role-based access control, and automated compliance checks to streamline the process while maintaining security standards. This approach enables teams to make database changes quickly, safely, and at scale, supporting modern software delivery practices.

Harness has been recognized as a Leader in the 2025 GigaOm Radar Report for GitOps, earning the highest scores across all key evaluation criteria, which underscores its comprehensive and enterprise-grade GitOps solution. This recognition highlights Harness's ability to enhance workflow automation, scale beyond open-source tooling, and maintain robust security and governance through features like AI-powered verification and advanced multi-cluster management. GigaOm Radar reports provide forward-looking assessments of technology vendors, and Harness's position as a Leader emphasizes its capability to deliver exceptional value in the GitOps sector. GitOps represents a Kubernetes-native approach to continuous delivery, using Git repositories as the single source of truth, and while traditional tools focus primarily on deployment activities, Harness integrates and manages these tools at scale, filling in missing elements like security checks and tests. The report suggests that Harness's advanced features make it a compelling choice for organizations looking to streamline Kubernetes deployments while ensuring security and compliance.

Harness has introduced a suite of new features designed to enhance the efficiency and simplicity of software deployments, focusing on empowering developers and DevOps teams. Key updates include improvements in Helm deployments with a Helm Delete Step, support for anonymous authentication for OCI-based Helm repositories, and enhanced management capabilities for Kubernetes and AWS deployments. The latest enhancements also feature improved failure detection and retry mechanisms for ECS rolling deployments and traditional deployments, offering greater flexibility in serverless and cloud deployments through automatic runtime image updates and expanded Azure and Google Cloud Functions support. Additionally, Harness has contributed a Go template CLI library to open source, improved usability features like clickable URLs in approval messages, and enhanced integration with Rancher. These updates underscore Harness's commitment to continuous delivery innovation, providing powerful automation tools to streamline deployment workflows.

Harness simplifies GitOps onboarding by providing powerful, ready-to-use pipeline samples that facilitate automated rollbacks, secure multi-environment deployments, and more. The guide introduces readers to GitOps, where deployments are driven by Git commits, ensuring infrastructure and applications remain declarative, version-controlled, and auditable. Harness enhances this process with built-in automation, verification, and rollback features. Key workflows include PR pipelines for app management, notification systems for pipeline completions, fail-safe deployments with approvals, instant rollbacks, parallel deployments, continuous verification, secure deployments with vulnerability scans, and ApplicationSets for multi-environment deployments. These features aim to streamline deployment processes, ensure application health, and maintain deployment security, setting users on a path to GitOps success.

Engineering leaders must transition from reporting traditional technical metrics to demonstrating business impact to gain executive influence. Harness Software Engineering Insights (SEI) provides the tools to bridge the gap between technical execution and business strategy by transforming engineering metrics into actionable insights that resonate with executive priorities. By aligning their communication with the specific business goals of executives like the CEO, CFO, and CMO, engineering leaders can present metrics in terms of predictability, customer impact, cost efficiency, and revenue acceleration. SEI offers dashboards that highlight efficiency, productivity, and business alignment, allowing for clear, visual, and actionable reporting. This approach enables engineering leaders to influence strategic decisions, improve cross-functional collaboration, and proactively drive business outcomes.

Harness offers a streamlined solution for deployment rollbacks by enabling users to execute rollbacks with a single API call or through an intuitive user interface, eliminating the need for complex scripts and manual intervention. This approach contrasts with traditional methods, which often involve cumbersome processes like custom scripts and predefined pipeline stages, leading to delays and increased stress during critical recovery periods. With Harness, users can simply provide a few identifiers, such as Environment ID and Service ID, to initiate a rollback, receiving immediate confirmation and tracking details for transparency. This simplified process not only reduces downtime and stress but also empowers users to quickly recover and focus on diagnosing issues, marking a significant shift towards more efficient and reliable deployment management.

Harness Software Engineering Insights (SEI) introduces persona-based metrics to enhance software development productivity by providing role-specific insights tailored to executives, directors, engineering managers, scrum masters, program managers, and product managers. These targeted metrics facilitate strategic alignment, improve workflow efficiency, and optimize agile execution by delivering relevant data points to the right stakeholders, thus avoiding the pitfalls of traditional one-size-fits-all metrics dashboards. The platform integrates with existing tools like GitHub, GitLab, Jira, and Jenkins to automate data collection and create a unified data layer, ensuring consistent and up-to-date metrics across teams. Harness SEI's customizable dashboards offer intuitive visualization options for complex data, enabling engineering leaders to identify patterns and potential delivery risks early. By empowering teams with actionable insights, Harness SEI supports continuous improvement, adapting to evolving metric needs as teams mature, and ensures that metrics remain drivers of business value rather than static measurements.

Developer productivity is crucial in the fast-paced world of software development, impacting an organization's ability to deliver high-quality software efficiently and effectively. Adeeb Valiulla, Director of Engineering Excellence at Harness, discusses the importance of measuring and optimizing developer productivity through metrics such as lead time for changes, deployment frequency, and the commit to done ratio. While generative AI promises to enhance productivity by automating coding tasks, it may also introduce new challenges. Tools like Harness Software Engineering Insights provide actionable insights into productivity by integrating with various software development lifecycle tools. Improving productivity requires a holistic approach that addresses technical and organizational factors, such as reducing build times, fostering collaboration, and minimizing distractions. Real-world examples from industries like gaming and cybersecurity illustrate how focusing on developer engagement and streamlining workflows can significantly boost productivity. Harness emphasizes that enhancing productivity is not just about tools and metrics but also about creating an environment where developers can work without unnecessary friction, fostering autonomy, psychological safety, and continuous learning.

Harness Cloud is a fully managed Continuous Integration (CI) platform designed to streamline development processes through its focus on speed, governance, reliability, and security. It offers 8X faster builds by running them in isolation on pre-configured virtual machines managed by Harness, eliminating the need for teams to maintain their own infrastructure. The platform enhances governance by providing centralized configurations and an auditable process, while also ensuring reliable and consistent builds through managed infrastructure. Security is bolstered by SLSA Level 3 compliance, isolated build environments, and secure connectivity to on-prem services. Harness Cloud supports a wide range of operating systems and programming languages, offering developers a seamless and secure way to integrate on-prem dependencies into their CI workflows. Dewan Ahmed, a Principal Developer Advocate at Harness, emphasizes the platform's capacity to enable efficient and reliable code delivery, drawing on his extensive experience in the tech industry and his commitment to open-source and community advocacy.

Harness has introduced support for Azure Functions, facilitating faster, simpler, and more reliable serverless deployments by eliminating the complexity of manual scripts and configurations. Azure Functions, a serverless service from Microsoft Azure, allows users to execute code in response to specific events without the need to manage servers, simplifying the automation and scalability of applications. Harness enhances this process by automating deployments, ensuring consistency across environments, reducing risks with built-in verification and automatic rollbacks, and freeing up developers' time for more critical tasks. The platform streamlines workflows by providing unified, low-code pipelines that integrate ZIP bundles and Docker containers for Azure Functions, offering real-time deployment monitoring and minimizing manual efforts compared to traditional deployment methods. This transformation enables agile teams to focus on innovation rather than pipeline management, making Azure Functions deployments more efficient and less stressful.