Development operations, CI/CD, and automation
Found 288 articles
Securing the ingress layer in AKS is crucial; combining Application Gateway and WAF offers effective protection against north-south traffic vulnerabilities.
KEDA enhances autoscaling for AI workloads in Kubernetes by prioritizing workload demands over resource usage, improving efficiency and responsiveness.
Data engineers face unique challenges in local and cloud environments; here's how Docker can bridge that gap for a better lakehouse experience.
Open source projects are essential for software engineers to refine hard skills and develop the expertise necessary for effective technical leadership.
Tail-based sampling improves trace selection by evaluating completed traces, ensuring critical data is preserved while filtering out less relevant information.
Examine the hidden operational costs of cloud-native architecture and learn to evaluate platform components for better efficiency and value.
Strategic skills—not just frameworks—define the success of AI engineers in delivering reliable systems that scale effectively.
Transform your meeting recordings into actionable knowledge with Microsoft Foundry's integrated transcription and querying tools.
On-prem Kubernetes networking demands careful planning to address routing challenges and optimize troubleshooting, ensuring efficient operations in data centers.
Explore effective strategies for minimizing cloud costs while maximizing the value of cloud-native technologies, ensuring financial efficiency in your organization.
Effective leadership isn't reserved for managers; software engineers can amplify their impact through technical influence and collaboration.
Explore the security implications of using Docker Hub versus private registries, and find effective strategies for mitigating risks in container management.
Docker is transforming its role from a packaging tool into a vital platform for AI development, streamlining onboarding and reducing setup issues.
Efficient deployment of containerized LLMs requires distinct strategies to tackle size and speed challenges inherent in AI workloads.
Red Hat introduces an open-source MCP server allowing AI integration for intuitive Kubernetes management through natural language processing.
Docker Engine version discrepancies can subtly degrade traffic in Swarm clusters, impacting performance for heavy-load applications.
Session persistence issues can plague multi-replica Model Context Protocol servers, but a shared session store can provide effective solutions.
Base images are critical to the security of software supply chains in Kubernetes. Organizations must prioritize proper image management to mitigate risks.
Examining common pitfalls in load balancing within multi-AZ Kubernetes setups, highlighting latency and cost impacts of inefficient traffic distribution.
Many AI quality assurance tools falter in production due to insufficient engineering practices. Systematic rigor is essential for reliability.