
Explore strategies to make DevOps more accessible and developer-friendly, enhancing collaboration and efficiency in software development teams.

Practical strategies for rapid and secure software development, addressing challenges in modern engineering organizations and emphasizing rugged software practices.

Automating security in CI/CD: Learn about Threadfix-Centric Application Security Architecture, challenges in AppSec testing, and leveraging QA regression for enhanced coverage.

Explore innovative approaches to product security, emphasizing automation, cloud deployment, and engineering enablement. Learn how Netflix balances security impact with developer productivity.

Practical implementation of dynamic application security testing in enterprise DevOps, showcasing CI/CD pipeline integration and large-scale scanning methods for enhanced security coverage.

Explore containerized application pipelines: build minimal images, scan and sign, enforce compliance, and learn best practices for enterprise container registries and Kubernetes orchestration.

Learn to deploy software containers on diverse IoT devices using Docker, exploring fog computing, Docker Swarm, and strategies for handling resource constraints and device heterogeneity.

Explore security vulnerabilities in cloud-based CI/CD and container build environments. Learn about potential attack scenarios, remediation strategies, and best practices for securing the software supply chain.

Comprehensive guide to enhancing GitHub Actions security, covering access control, secrets management, containerization, and best practices for protecting CI/CD pipelines and workflows.

Explore advanced Blazor features with its architects, covering server-side streaming, Razor Class Libraries, APIs, build systems, and compiler internals for a deeper understanding of the framework.

Explore benefits and practical examples of testing in production, including early feedback, faster releases, improved quality, and better control over applications in modern cloud and DevOps environments.

Overview of major components in ML connected fitness system using Akka and Spark. Includes infrastructure, continuous deployment, monitoring, and live demos. Offers lessons learned and tips to avoid pitfalls in complex Akka & Spark systems.

Learn effective strategies for testing Kubernetes Custom Resource Definitions (CRDs), controllers, and webhooks. Discover Go libraries, best practices, and tools for stable system tests in CI/CD environments.

Integrating DevOps practices into ML pipeline development using Kubeflow and Tekton, focusing on workflow orchestration, CI/CD, and overcoming challenges in the process.

Learn to build a custom PaaS using cloud-native tools, focusing on Crossplane. Explore architecture, platform APIs, composition, and continuous deployments with a practical demonstration.

Automate database deployments and testing using SSDT, Docker, and Azure DevOps. Learn to accelerate feature deployment, catch regression issues, and implement CI/CD practices for database development.

Discover how smoke tests ensure production environment functionality, enhance deployment processes, and improve overall system reliability in PHP applications.

Strategies for breaking down a large monolithic system into independent services, focusing on database decentralization, team autonomy, and continuous deployment.

Explore building a serverless DevOps pipeline for Spark/BigData applications using Jenkins, Kubernetes, and on-demand resources, enabling true DevOps lifecycle in enterprise environments.

Explore Google's open-source tools for seamless Kubernetes development, including Skaffold for continuous deployment, Kaniko for secure image building, and Jib for faster builds.

Explore real-time ML model deployment at Auto Trader UK, featuring automated retraining, robust testing, and integration with existing infrastructure for efficient experimentation and reduced time-to-live.