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A global telco struggles with the performance of its mission-critical applications. Databases are strained under high loads, and latency impacts user experience. The solution? Apache Ignite – a distributed database and caching platform. Now, amplify its power by integrating it with Kubernetes for seamless scalability and fault tolerance. In this session, I will share a real-world implementation story of how my team and I tackled these challenges. Get a deep dive on the architecture we used to integrate Apache Ignite with Kubernetes. Learn how we leveraged Ignite’s distributed computing capabilities and Kubernetes’ orchestration features to achieve robust performance, resilience, and efficiency. Apache Ignite is a game-changer, but when paired with modern cloud technologies, it reaches new levels. This session bridges the gap between Ignite's raw capabilities and practical implementation in enterprise-grade, cloud-native setups. Come to this session to learn about: Setting up Ignite clusters in Kubernetes with a focus on deployment, monitoring, and scaling. Integrating Ignite with technologies like Kafka and Istio service mesh. Optimizing Ignite’s in-memory computing for cloud environments with Kubernetes to ensure high availability and disaster recovery. Practical tips and tricks to overcome pitfalls when deploying Ignite in a containerized ecosystem. Learn more about the upcoming events: https://ignite-summit.org/ Slides: https://23545599.fs1.hubspotuserconte...