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;}”]

GridGain Expands Ignite Summit, Adds Pre-conference Day with New Kubernetes Training

GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache Ignite, announced it has added a pre-conference Developer Training Day, including the popular Kubernetes session, to the Ignite Summit: Cloud Edition, a free virtual event for the global Apache Ignite community, taking place November 16, 2021. Registration and the Call for Speakers for the Ignite Summit Cloud Edition remain open. The Call for Speakers closes on October 15, 2021.

“Apache Ignite continues to soar in popularity, and GridGain is committed to investing in educational programs that developers need to be successful with Ignite from day one,” said Denis Magda, GridGain VP of Developer Relations and a member of the Apache Ignite Project Management Committee (PMC). “This is a terrific opportunity for the Ignite community to learn how to configure and work with Apache Ignite in a Kubernetes environment. I encourage all interested developers to attend this and the other training sessions, so they can come to the conference fully prepared.”

Recommended AI News: AnyClip Expands Offering With ‘Intelligence Lockbox’ – Bringing AI-powered Internal Communications To The New, Video-dominated Workplace

“Apache Ignite and Kubernetes: Deployment and Orchestration Strategies”

Related Posts
1 of 40,570

This free two-hour training is for developers, architects, and DevOps engineers who want to deploy and orchestrate Apache Ignite in a Kubernetes environment. You begin with the configuration and scalability essentials as you deploy Ignite in pure in-memory mode. Next, you convert the Ignite in-memory cluster into a multitier database that scales beyond available memory capacity by setting up disk storage for Ignite native persistence and GridGain backups. Finally, you select the connectivity option that is preferred for your applications and simplify the monitoring, management, and troubleshooting of your Kubernetes-based deployment.

Recommended AI News: Rev.com Joins New Brightcove Marketplace

Topics include

  • Ignite in in-memory mode: basic configuration principles, cluster discovery, auto-scaling, availability zones, and rolling restarts
  • Ignite in multitier database mode (in-memory plus native persistence): storage configuration (data versus WAL), cluster backups, and storage performance monitoring
  • Application deployment and connectivity options: apps and Ignite in K8, apps in K8 but Ignite outside, and Ignite in K8 but apps outside

Recommended AI News: MyCase Announces New Integration With Smith.ai

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

Comments are closed.