Results for workloads
InfluxData's Latest Updates Optimize Time Series Data for Better Performance, Scale and Management
InfluxData's InfluxDB 3.0 time series data platform is adding new capabilities to power massive time series workloads at scale – and to be AI-ready. IDN talks with InfluxData CEO Evan Kaplan about the latest updates for performance, management and more.
Full Story >SingleStoreDB Expands Capabilities for Real-Time Applications and Workloads
SingleStore’s real-time distributed SQL database is enhancing support for analytics and data-intensive apps. IDN explores the update and looks at SingleStore’s on-going partnership with IBM for bringing data to modern apps.
Full Story >Astadia Joins the AWS Mainframe Modernization Service
Astadia is offering a cloud-base service for Amazon Web Service to help companies modernize their mainframe capabilities for the cloud. IDN looks at Asadia's AWS Mainframe Modernization Service.
Full Story >Wipro, IBM Expand Focus on Hybrid Cloud Solutions for Apps, Data, Workflows
Wipro and IBM are collaborating on a new set of industry solutions to be built on IBM Cloud that will help clients migrate, manage and transform critical workloads across hybrid cloud environments.
Full Story >Dynatrace Updates ‘Explainable AI’ Engine To Provide More Kubernetes Insights
Dynatrace is shipping enhancements to Kubernetes support to provide DevOps teams real-time answers about performance issues and anomalies across the full stack of Kubernetes clusters, containers and workloads.
Full Story >Alluxio Data Orchestration Aims To Bring Speed and Agility to Big Data and AI Workloads
Alluxio has updated its data orchestration to simplify and accelerate how firms work with distributed data-intensive workloads. Alluxio 2.0 provides a novel layer of technology to separate compute from storage and automates data ‘tiering’ across on-prem and cloud.
Full Story >MapR Adds Deep Kubernetes Integration To Ease Support for AI/ML & Dynamic Apps, Workloads
MapR Technologies is making it easier to build and run AI/ML, analytics and other dynamic workload projects. The MapR Data Platform’s native Kubernetes integration can scale compute and storage resources independently. IDN talks with MapR’s Suzy Visvanathan.
Full Story >The 2018 Pivot for Dynamic Apps, DevOps: Live Deployment Monitoring Takes Center Stage Away From Container Orchestration
The yin-yang of dynamic apps and DevOps may come into a new balance in 2018. Container orchestration will be less important, while monitoring live deployments will become the crucial focus. This shift comes in large part due to big steps in Amazon Web Services, says Lee Atchison, senior director of strategic architecture at New Relic. IDN explores.
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