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Understanding Cost Seasonality in Kubernetes
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.
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FinOps in 2025: The 6 Phases of FinOps Evolution
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.
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Kubernetes Cost Optimization: From Roadblocks to Results
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.
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Optimizing K8s Cost to Strengthen Competitive Advantage
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.
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How PerfectScale Helps a DevOps Team of One Scale Riftweaver
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.
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Anaconda + OpenEye Scientific
OpenEye Scientific, a leader in computational molecular design, has integrated its advanced tools into Orion®, the only cloud-native molecular design platform. To ensure seamless operation and access to vital scientific libraries, OpenEye partnered with Anaconda. Managing Python environments and complex dependencies has historically challenged the scientific community. OpenEye chose Anaconda for its reliability and established leadership in Python package management, enabling straightforward access to numerous scientific libraries that would otherwise be difficult to utilize. Anaconda's embedded solution allows scientific developers to leverage the entire Python ecosystem within Orion, facilitating novel scientific calculations on the cloud. This partnership creates a seamless, powerful experience for Orion users, making advanced molecular design more accessible than ever.
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Visma Proceedo Migrates to MariaDB unlocking more than 2x better response times and cost savings
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.
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Samsung SDS Cuts Database Costs in Half by Moving from Oracle to MariaDB
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.
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Ingenico Financial Solutions provides high availability e-Money solutions with MariaDB
Ingenico Financial Solutions, an e-Money provider, sought a robust, high-availability database solution and flexible support for its fast-growing business. Already using MariaDB, they faced downtime issues and needed a scalable partner. MariaDB provided a comprehensive solution, including a health check, infrastructure validation, performance optimizations, and assistance in setting up MariaDB Galera Cluster for high availability. This partnership resulted in a secure, scalable, and reliable database environment, ensuring business continuity and supporting Ingenico's growth.
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Greetz's successful migration from Oracle RAC to MariaDB Galera Cluster
Greetz, an online greeting card service, faced high costs and management complexity with their Oracle RAC database. Seeking a more affordable, highly available, and performant solution for their e-commerce platform, they partnered with MariaDB. The migration to MariaDB Enterprise Server with Galera Cluster resulted in a faster, more stable online store and significantly reduced Total Cost of Ownership by eliminating expensive licensing and SAN storage. MariaDB now provides a reliable and scalable foundation for Greetz's critical operations.
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Why Top Spanish Business School Esade Migrated from MySQL to MariaDB Enterprise Server
Esade Ramon Llull University, a top business school, sought a robust database solution to support their critical eLearning platform, Moodle, and its 7,000 students and 1,000 daily concurrent users. Facing poor performance and low availability with MySQL community edition, they chose MariaDB Enterprise Server with Galera Cluster for its high query speed, robust clustering, and comprehensive support, drastically improving Moodle's performance and student experience.
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Simplify Database Management with the MariaDB Enterprise Kubernetes Operator
The MariaDB Enterprise Kubernetes Operator simplifies managing MariaDB Enterprise Platform on Kubernetes. Acting as an embedded DBA, it leverages Kubernetes Custom Resource Definitions (CRDs) to automate deployment and operation of complex MariaDB topologies, including high-availability Galera clusters and MaxScale setups, using simple YAML files. Key features include effortless deployment, seamless rolling upgrades with minimal downtime, automated backups and recovery, and enhanced security. This operator enables advanced high availability with Galera and integrated load balancing with MaxScale, unlocking enterprise-grade features. Certified for Red Hat OpenShift, it reduces operational complexity, ensures data availability and security, and is available with a MariaDB Enterprise Platform Plus subscription.