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.

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.

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.

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.

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.

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.

Learn how Aviatrix identifies Kubernetes as a central element in ensuring cloud-native security.

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.

The data science and machine learning (DSML) landscape is exploding with innovation, but it's also bringing new complexities! Organizations are grappling with the critical need to manage intricate AI development lifecycles, ensure robust governance and security for open-source components, and scale deployments without a hitch. The article dives into how these escalating challenges demand more than just tools—they require comprehensive, secure, and flexible solutions to truly unleash AI's full potential! It's an exciting time, and the focus is squarely on building a trusted foundation for the future of AI.

Say Goodbye to Setup Headaches: Anaconda Unleashes Quick Start Environments! Every data scientist, ML engineer, and developer knows the agony of environment setup – hours lost to dependency conflicts instead of actual analysis. Anaconda is revolutionizing this pain point with its new Quick Start Environments for Jupyter Notebooks within the Anaconda AI Platform! Imagine expert-assembled toolkits, meticulously pre-configured with the optimal mix of tested, compatible packages, ready to launch with a single click. From a Python Starter for beginners to a comprehensive Anaconda Distribution, specialized Finance, and focused AI/ML Starter Environments, these solutions eliminate frustration and supercharge productivity. Discover how these game-changing environments standardize workflows, accelerate onboarding, and free you to focus on innovation, not infrastructure!

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.