May 2024 Summaries

DevOps is a cultural approach that fosters collaboration between development and operations teams, while CI/CD (continuous integration and continuous delivery) is a set of practices for automating code integration and deployment. Both rely on automation for efficiency and reliability in software delivery. DevOps emphasizes a culture of collaboration, whereas CI/CD focuses on continuous integration and deployment tools. Integrating DevOps and CI/CD can transform how an organization delivers software, but it requires overcoming challenges such as cultural resistance, technical complexity, and initial investment. Implementing best practices like automation, continuous feedback loops, and feature flags can help organizations successfully adopt these approaches.

Smoke testing is an initial pass to evaluate basic functionality and stability in software development after new builds or code changes. It focuses on critical test cases and workflows to verify that the major functions of the software are operating as expected. The goal is to determine if the build is stable enough to proceed with more in-depth testing. Smoke tests can be functional, non-functional, or integration-based depending on the stage of software development and release testing objectives. Automating smoke tests provides several benefits such as increased speed, improved consistency, enhanced coverage, earlier defect detection, and reduced costs. Key metrics to track include time to execute, defects detected, test coverage, and test pass percentage.

LaunchDarkly, an innovation platform, has released new features aimed at improving software delivery speed and safety while ensuring value is delivered. These include a major UI update for easier navigation, support for AI development with automatic remediation features, developer-friendly workflows, and more. The platform also offers advanced experimentation capabilities to measure the business impact of every feature release. With these updates, LaunchDarkly aims to help teams innovate faster while minimizing risk and ensuring value delivery.

In October 2023, Release Assistant was introduced to help engineering leaders define their team's best practices as an enforceable workflow applied to every single flag and release. Since its introduction, users have requested more automation and guided workflows for ensuring success in each kind of release. To address these requests, several improvements have been made to the Release Assistant. These include automating the rollout process and monitoring the impact with Release Guardian, making it easier to create and manage release pipelines, defining audiences for each phase's rollout, adding more control through approvals, requirements, notifications, and flag cleanup, and providing documentation on how to get started with Release Assistant.

LaunchDarkly is a platform that helps companies measure the impact of their software features and optimize them for better business outcomes. It enables teams to run experiments on every release, ensuring positive impacts on businesses. The platform offers increased power and flexibility in metric setup, statistical methodologies for running rigorous experiments, and visualization tools to understand experiment results faster. Additionally, LaunchDarkly's AI-powered experiment builder assists in optimizing experiment designs. By integrating experimentation into the feature release workflow, companies can deliver winning product experiences and drive progress against key business initiatives.

LaunchDarkly has introduced two new versions of its GitHub Copilot extension aimed at improving developer workflows tied to feature management. The first extension, available on Visual Studio Marketplace, allows developers to interact with Copilot to manage the feature flag lifecycle within VS Code. This includes boolean flag creation and flag summarization. The second extension, in limited public beta on GitHub Marketplace, enables developers to ask questions about LaunchDarkly documentation using GitHub Copilot Chat, receiving helpful answers directly from their best practices and documentation corpus.

LaunchDarkly introduces Release Guardian, a new capability that helps software delivery teams mitigate risks and reduce mean time to recovery (MTTR). By monitoring critical metrics on every release, Release Guardian prevents performance issues and de-risks software changes. It addresses the challenge of balancing fast development with seamless performance by closing the gap between application performance management (APM) tools and feature management systems. With features like automatic risk mitigation and resolution, precise audience exposure control, proactive issue monitoring and real-time risk mitigation, Release Guardian enables teams to deliver better software with confidence while maintaining high engineering velocity.

LaunchDarkly introduces a new command-line interface (CLI) called ldcli to streamline the process of managing feature flags for high-velocity engineering teams. The CLI is designed to integrate seamlessly with developers' everyday workflows, making it easier to use LaunchDarkly as part of their daily tasks. It includes a setup command that guides first-time users through creating a flag, installing an SDK, and toggling the flag on/off without needing access to the UI or documentation. The CLI also provides direct access to APIs for powerful feature management, allowing users to toggle flags, create, update, search for various elements, and query data about contexts that have evaluated feature flags in their applications. LaunchDarkly CLI is now available for all users and can be installed using Homebrew, npm, or Docker.

LaunchDarkly has introduced a major update with a new navigation system, multi-environment views, and an overall refreshed look. The updated navigation offers clear categories for commonly used features and an organization settings area. Multi-environment views allow users to pick and reorder environments, save them as favorites, and access keys and settings easily. Flag dashboards now support multi-environment views, providing full visibility into flag statuses across environments. Users can also save filtered views as shortcuts for quicker access. Additionally, contextual change history is available for all resources, including previously unsupported ones like Experiments. The new experience will be applied to all user profiles on July 17th.

Feature flag management is crucial in modern software development, enabling gradual feature rollouts, testing in production, and revert changes without redeployment. While Split is a popular platform for this purpose, it may not meet everyone's needs. LaunchDarkly offers superior performance, scale, and security, making it ideal for large organizations with demanding environments and services. Optimizely excels in enhancing user experiences and increasing conversion rates through detailed A/B testing and personalization. Statsig focuses more on product experimentation and insights, offering a more in-depth analysis of how to optimize user experiences. Unleash is an open-source platform with both on-prem and cloud deployment options, providing developers with feature flag capabilities. Harness is a Continuous Integration and Continuous Delivery (CI/CD) platform that automates software deployments. PostHog is an open-source product analytics platform aimed to help product and growth teams understand user behavior so they can build better products. GrowthBook is an open-source platform for feature flagging and A/B testing built for data teams, product managers, and engineers.

LaunchDarkly has expanded its data privacy compliance options by becoming an active participant in the EU-US Data Privacy Framework (DPF), DPF UK extension, and Swiss-US DPF. This move demonstrates their commitment to safeguarding customers' personal data shared during service usage. The DPF ensures secure transfer and handling of personal data between the European Union and the United States, offering additional options for compliance with data privacy laws such as GDPR. LaunchDarkly's Data Processing Addendum now encompasses the requirements of the DPF and other widely accepted mechanisms like SCCs to ensure customers' data transfers meet high standards of privacy and security.