Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

DataCore Software Advances OpenEBS High Availability Container Attached Storage for Demanding Edge Deployments of Kubernetes Clusters

At KubeCon+CloudNativeCon North America 2022, DataCore Software will preview new high availability (HA) features for OpenEBS aimed squarely at IO intensive edge use cases that demand low latency access to highly available native Kubernetes (K8s) storage.

WEB3 Gaming and NFT News : P2E.Game: The One-Stop Portal for WEB3 Gaming and NFT

“Much of recent adoption is centered on real-time data ingest and fast local processing where unreliable application response and data IO cannot be tolerated.”

“OpenEBS adoption is entering a hyper-growth phase, increasing more than 400% to 4.5 million K8s volumes provisioned in the third quarter of 2022 – which is impressively up from a fraction of that 12 months ago. Its popularity is now rapidly extending from cloud-native applications at the core to semi-autonomous clusters at the edge,” said Mike Turnlund, head of field operations for containerized storage, DataCore Software. “Much of recent adoption is centered on real-time data ingest and fast local processing where unreliable application response and data IO cannot be tolerated.”

Browse The Complete News About Blockchain : Blockchain Partnership: PraSaga and Metahug Gamify Web3 Education Via Roblox

Contributions from the open source community to CNCF sandbox projects reveal keen interest in both HA data resiliency and optimized data reduction for small form-factor applications close to application ingest data sources. These workloads require highly available data capture and reliable application IO persistence in demanding environments characterized by high failure rates and unreliable application network connections.

Related Posts
1 of 40,291

The upcoming release of Mayastor 2.0, the premier performance engine in OpenEBS built around SPDK, brings additional HA redundancy options in its NVMe oF/TCP data IO fabric. These enhancements from DataCore are designed to prevent data loss by intelligently routing data around failed IO paths.

The release also includes fine grained thin provisioning management of K8s pooled volumes, enabling IT teams to significantly reduce costs and simplify scale-up when application data and IO growth expands rapidly and unexpectedly. Scaling out is already well addressed and mature in the current Mayastor version 1.0.2.

OpenEBS Mayastor works seamlessly in the DevOps ecosystem and alongside other tools used for version control, configuration management, CI/CD automation, code repositories, artifact management, test automation, monitoring, and more. As the block storage abstraction layer residing in the data plane, Mayastor delivers persistent storage to stateful applications running on containers, overcoming the old-world problems of developing to specific processors or custom hardware configurations. It is especially designed for composable and disaggregated storage architectures.

OpenEBS is a CNCF sandbox project that was originally built by MayaData, which was acquired by DataCore in November 2021. DataCore continues to lead K8s storage container development with OpenEBS engineering, product development and support. DataCore is also the primary contributor to the open source Windows Platform Development Kit (WPDK) which acts as a foundation layer to enable SPDK to run on Windows and will be contributing to the Windows Driver Unit Test Framework to further extend this project.

Next-gen AI-On-Demand Platform :  European Commission Pumps in $9.15 Million to Develop Next-gen AI-On-Demand Platform

[To share your insights with us, please write to sghosh@martechseries.com] 

Comments are closed.