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These provide a different set of motivations for using an event streaming platform than scaling and microservices: specifically, the need to produce analytics results and business insights faster than the next day, which has been the tradition most of us have received since early on in our careers. Batch was good enough.
Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.
This also equates to tremendous growth in complexity, which means continuous learning within DevOps is a must for DevOps teams hoping to realize their business value of digital transformation to provide outstanding value and experiences.
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We have customers like IBM who use us to manage microservices. JM: Logi Analytics is an embedded business intelligence tool. Create, deploy and constantly improve your analytic applications that engage users and drive revenue. Logi Analytics is used by over 1,800 teams, including Verizon, Cisco, GoDaddy and J.P.
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For several years, microservices has been one of the most popular topics in software architecture, and this year is no exception. Although DDD has been around for a long time, it came into prominence with the rise of microservices as a way to think about partitioning an application into independent services. growth over 2021.
How to understand your choreography using process events monitoring Enterprises that use event-driven microservices often suffer from a lack of visibility into processes that cross the boundary of one individual microservice. Choreography and event-driven microservicesMicroservices can use events to communicate among each other.
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