Discover how unchecked API sprawl creates critical security blind spots for fast-growing fintech startups, leading to data breaches and operational inefficiencies. Learn how Beagle Security's API discovery feature automatically uncovers and tests all APIs within Kubernetes or Istio environments, ensuring complete visibility and proactive vulnerability management.

Explore the true costs of penetration testing in 2025, breaking down pricing by scope (web, mobile, API, cloud, network, IoT) and methodology (black box, grey box, white box). Discover key factors influencing costs and learn how AI-powered solutions like Beagle Security offer a faster, more affordable alternative to traditional pen tests.

Uncover the pivotal role of PostgreSQL's extensions ecosystem, its historical context, and why it remains indispensable for modern data needs, including AI and analytics. Dive into key extensions like TimescaleDB, PostGIS, and pgvector, and learn how a managed service, like Aiven, mitigates risks and enhances reliability.

Many teams rely on “skeleton pipelines” that get code to production but haven’t been improved in months—or ever. This article urges software teams to treat their delivery pipelines as critical, evolving parts of their product. It highlights the importance of ownership, accountability, and continuous improvement in the software delivery process to avoid bottlenecks, reduce deployment pain, and enable faster, more reliable releases.

Kyverno is quickly becoming the preferred choice for Kubernetes policy management, offering a Kubernetes-native, YAML-based alternative to OPA/Gatekeeper. With features like intuitive policy writing, built-in resource generation, mutation, policy exceptions, and retroactive enforcement, Kyverno simplifies governance and security in Kubernetes environments. Learn why DevOps and platform teams are making the switch.

Policy as Code (PaC) is transforming platform engineering by embedding security, compliance, and governance directly into developer workflows. It empowers developers with faster feedback, enables secure self-service, ensures consistent environments, and automates policy enforcement—boosting efficiency and scalability. By shifting policy management to code, teams gain transparency, reduce errors, and streamline compliance, paving the way for more secure, scalable, and developer-friendly platforms. The future of internal developer platforms is Policy as Code.

Discover how fintech leader Rapyd partnered with PerfectScale to close observability gaps in their Kubernetes environment, achieving a projected 35-40% reduction in K8s costs while simultaneously improving performance and proactively resolving critical issues across their extensive AWS EKS infrastructure.

Discover how Riftweaver, an innovative gaming studio with a one-person DevOps team, leveraged PerfectScale to reduce CPU throttling by nearly 59% in critical APIs, improve user experience, and enable efficient scaling of their AWS EKS Kubernetes environment, even on a free plan.

Discover how cybersecurity leader Cynet, with a focus on simplicity, leveraged PerfectScale to gain unprecedented visibility into pod costs, streamline Kubernetes cost optimization, and proactively identify and resolve resiliency issues across their multi-cluster AWS EKS environment, ensuring a stable and cost-effective solution for their customers.

Discover how Trax, a leader in retail technology, leveraged PerfectScale to overcome manual Kubernetes optimization roadblocks, achieving an astounding 75% cost reduction in one cluster (saving over 6-figures annually) and significantly improving their "cost per processing" metric by gaining granular visibility and actionable insights across their multi-cloud, multi-cluster AWS EKS environment.

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.

Unpack the concept of cost seasonality in Kubernetes, explore the factors that drive its fluctuations, and discover effective strategies—including right-sizing, autoscaling optimization, and leveraging tools like PerfectScale—to manage and predict your cloud spend while maintaining performance.