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.

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.

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.

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.

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 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.

Is speed more important than security in DevOps? With Checkmarx, you don’t have to choose. Learn how AI-powered security integrates seamlessly into your workflows.

Learn how JProfiler helps deal with issues like memory leaks, thread contention, CPU bottlenecks, and more.

Explore how network-based observability helps enterprises tackle agent-based and shadow AI risks. Trevor Welch of Witness AI shares insights on securing sensitive data and enforcing AI policies.

Samsung SDS, a Samsung subsidiary, needed to modernize its Knox Portal, an internal collaboration platform with almost half a million users, by moving to a microservices architecture and open-source software. Facing high operating costs with Oracle, they migrated over 80% of their databases for this critical application to MariaDB Enterprise Server. This transition achieved zero-downtime upgrades, global real-time data synchronization, and a more than 50% reduction in operating costs, ensuring service continuity and stability for 80 Samsung affiliates worldwide. MariaDB's transparency and performance proved to be a cost-effective choice, enhancing developer and DBA capabilities.

DBS Bank, Southeast Asia's largest bank, sought to modernize its technology and reduce reliance on costly proprietary database solutions. They successfully migrated over 30 mission-critical applications, including corporate banking and payment engines, to MariaDB. This strategic move delivered 30 to 70 percent cost savings, enhanced flexibility, enabled real-time data streaming via MaxScale, and provided comprehensive monitoring with Monyog, all while ensuring compliance with strict financial regulations. DBS now champions open-source technology, sharing its success with MariaDB in the financial industry.

Visma Proceedo, a critical purchase-to-pay cloud solution in the Nordic region serving nearly a million users and processing 12 million invoices yearly with over 20TB of data, faced limitations and rising costs with its legacy proprietary database. After a two-year migration project, Visma successfully transitioned to MariaDB Enterprise Server. This move significantly improved average response times from 1.5-2 seconds to under 700 milliseconds and achieved roughly 10% annual savings in license and support costs. MariaDB's support and proactive improvement proposals also exceeded expectations.