DevOps tools streamline automation, but tool overload causes chaos. Discover why tool simplicity, seamless integration, and usability matter—and how tool sprawl is becoming a major DevOps challenge.

AI-assisted development is no longer a futuristic concept; it's the present reality. With AI accelerating the development velocity, can your legacy and fragmented tooling help you sustain the frequent code deployments?

Learn how Devtron helps DevOps teams with monitoring and logging to solve Kubernetes performance and troubleshooting.

Discover KIP-1150 Diskless Topics now live in Aiven Kafka BYOC, enabling Apache Kafka on AWS, Google Cloud, and Azure to write directly to object storage. Learn how this innovation slashes costs by up to 80%, eliminates operational toil, and maintains 100% Apache Kafka compatibility, ensuring zero vendor lock-in and a single logical cluster for all streaming workloads.

Easy access to Docker container logs is essential for effective development and debugging. This guide explores how to view and manage Docker logs using the docker logs command, Docker Compose, and Docker Desktop. It also covers where logs are stored, how to clear them, and best practices for centralized logging, log rotation, and structured output. Whether you're just starting with Docker or optimizing a production setup, this article will help you tailor container observability to your needs.

In the 2025 State of FinOps report, workload optimization and waste reduction once again top the list of priorities—but this time, it's about action, not just visibility. As FinOps matures, the focus is shifting from simply identifying inefficiencies to systematically fixing them through built-in workflows, context-rich insights, and tighter engineering integration. This article explores how governance, automation, and cultural alignment are shaping the next frontier of FinOps—where every dollar saved is tracked, verified, and sustained at scale.

Discover how Edera is redefining container isolation with a hypervisor-based approach that blends security and efficiency without hardware virtualization. 

As software supply chain security becomes a top priority, organizations are turning to Software Bill of Materials (SBOM) generation and analysis to gain visibility into the composition of their software and supply chain dependencies in order to reduce risk.

As AI adoption surges across industries, organizations face critical decisions about how to manage innovation, risk, and control. Open source AI offers enterprises the ability to “own their destiny” — providing transparency, flexibility, and customization that proprietary models often lack. However, with these benefits come challenges: security vulnerabilities, model drift, and cultural shifts in AI literacy. To succeed, businesses must build secure infrastructure, foster cross-functional collaboration, and establish governance pathways that empower safe innovation. The future belongs to cybernetic businesses — and those that proactively shape their AI strategies today will lead tomorrow.

Explore the six evolving phases of FinOps, from the initial "Observational" data collection to "Automated" and the future of "Integrated FinOps," revealing how organizations learn to manage cloud spend and optimize infrastructure efficiently over time.

This leading financial services technology company has significantly improved auditability and traceability, streamlined its security technology tool stack, and strengthened its end-to-end software supply chain security by adopting JFrog Advanced Security.

A multinational financial technology firm improved security and compliance by adopting the JFrog Platform for software releases. Using immutable release bundles and controlled promotion, they minimized risks while maintaining strict regulatory standards. JFrog’s Release Lifecycle Management (RLM) capabilities reduced manual intervention, allowing teams to focus on innovation.