Red Hat announces expansion of Ericsson collaboration, Releases Insights from Gartner Peer Insight study on global tech leaders

Red Hat recently announced an expansion to their collaboration with Ericsson to enable service providers to bring their next generation services to market faster in a multi-vendor scenario, as well as the results from a sponsored study conducted by Gartner Peer Insights to find out how organizations are adopting databases, what technologies they are considering to deploy workloads, and more. 

Ericsson and Red Hat empower service providers to build multi-vendor networks

• Ericsson and Red Hat are expanding their collaboration for validation of network functions and platforms to enable service providers to bring their next generation services to market faster in a multi-vendor scenario.
• Ericsson and Red Hat recognize that a multi-vendor approach requires a different plan of action compared to deciding for a single-vendor approach with vertically integrated solution and lifecycle management. 
• Ericsson and Red Hat want to free up service providers to focus on adding differentiation to their 5G services and value for their customers. They now have validated solutions ready to deploy, empowering service providers with an open platform that extends across a network for vEPC, 5G Core, IMS, OSS and BSS. 

Organizations turn to containers and Kubernetes for deploying databases to accelerate application development

• The Red Hat-sponsored study conducted by Gartner Peer Insights surveyed 200 tech leaders across the globe to find out how organizations are adopting databases on containers and Kubernetes, what technologies they are considering for deploying these workloads and more.
• Key insights from the report include:
  • Adoption is increasing – and for a variety of use cases. 69% state that they are in the middle or advanced stages of adoption, with 67% of the respondents reporting that operational or transactional use cases are the no1. reason. 65% of respondents are using databases on containers and Kubernetes to help with data analytics and AI/ML, while 37% are using containers to modernize their traditional databases
  • Mixed methods for deploying. DBaaS offerings from cloud vendors is the most popular approach (61%), followed by the deployment of cloud-native databases such as Crunchy Data, Couchbase, MongoDB etc (52%)
  • Databases are everywhere – including the edge. 63% of respondents are currently deploying or planning on deploying databases on containers and Kubernetes at the edge. Of those, 74% plan to use it for either data analytics or AI/ML inferencing at the edge. In contrast, only 18% reported they need an operational/transactional database for an application at the edge.