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Managing data and deriving actionable insights from it are essential functions of modern business. enables organizations to scale through in-memory access to data. Complex, back-end infrastructure, geographically distributed teams, and critical up-time requirements make microservices architecture a highly viable approach, but in order to take advantage of microservices, you need dynamic, scalable tools to manage your infrastructure. IBM and Hazelcast have partnered to offer a management solution that decomposes complex systems into smaller pieces allowing services to be deployed or replaced in isolation backed by an elastically scalable data grid so networks can dynamically cluster and pool memory and processors to accelerate application performance.
Join us to see how IBM and Hazelcast make your inter-operating services more resilient and give you the ability to put data to work for your business.
Dale Kim is the senior director of technical solutions at Hazelcast, and is responsible for product and go-to-market strategy for the in-memory computing platform. His background includes technical and management roles at IT companies in areas such as relational databases, search, content management, NoSQL, Hadoop/Spark, and big data analytics. Dale holds an MBA from Santa Clara, and a BA in computer science from Berkeley.
Matt is a Program Director of Offering Manager for IBM Cloud. In his 20 years at IBM Matt has worked in Development, Advanced Technology Group, and Offering Management. These roles have covered many parts of the IBM's Management Portfolio including Security, Application Performance Management, Cloud Management, Operations Analytics. Currently, Matt is focused on multicloud management capabilities.