{"id":14589,"date":"2019-03-28T21:14:15","date_gmt":"2019-03-28T21:14:15","guid":{"rendered":"https:\/\/rsoftsolution.com\/blog\/vizion-ai-launches-its-managed-elasticsearch-service.html"},"modified":"2019-03-28T21:14:15","modified_gmt":"2019-03-28T21:14:15","slug":"vizion-ai-launches-its-managed-elasticsearch-service","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/vizion-ai-launches-its-managed-elasticsearch-service.html","title":{"rendered":"Vizion.ai launches its managed Elasticsearch service"},"content":{"rendered":"

Setting up Elasticsearch<\/a>, the open-source system<\/a> that many companies large and small use to power their distributed search and analytics engines, isn\u2019t the hardest thing. What is very hard, though, is to provision the right amount of resources to run the service, especially when your users\u2019 demand comes in spikes, without overpaying for unused capacity. Vizion.ai\u2019s new Elasticsearch Service<\/a> does away with all of this by essentially offering Elasticsearch as a service and only charging its customers for the infrastructure they use.<\/p>\n

Vizion.ai\u2019s service automatically scales up and down as needed. It\u2019s a managed service and delivered as a SaaS platform that can support deployments on both private and public clouds, with full API compatibility with the standard Elastic <\/a> stack that typically includes tools like Kibana<\/a> for visualizing data, Beats<\/a> for sending data to the service and Logstash<\/a> for transforming the incoming data and setting up data pipelines. Users can easily create several stacks for testing and development, too, for example.<\/p>\n

\"\"<\/p>\n

Vizion.ai GM and VP Geoff Tudor<\/p>\n

\u201cWhen you go into the AWS Elasticsearch service, you\u2019re going to be looking at dozens or hundreds of permutations for trying to build your own cluster,\u201d Vision.ai\u2019s VP and GM Geoff Tudor told me. \u201cWhich instance size? How many instances? Do I want geographical redundancy? What\u2019s my networking? What\u2019s my security? And if you choose wrong, then that\u2019s going to impact the overall performance. [\u2026] We do balancing dynamically behind that infrastructure layer.\u201d To do this, the service looks at the utilization patterns of a given user and then allocates resources to optimize for the specific use case.<\/p>\n

What VVizion.ai hasdone here is take some of the work from its parent company Panzura, a multi-cloud storage service for enterprises that has plenty of patents around data caching, and applied it to this new Elasticsearch service.<\/p>\n

There are obviously other companies that offer commercial Elasticsearch platforms already. Tudor acknowledges this, but argues that his company\u2019s platform is different. With other products, he argues, you have to decide on the size of your block storage for your metadata upfront, for example, and you typically want SSDs for better performance, which can quickly get expensive. Thanks to Panzura\u2019s IP, Vizion.ai is able to bring down the cost by caching recent data on SSDs and keeping the rest in cheaper object storage pools.<\/p>\n

He also noted that the company is positioning the overall Vizion.ai service, with the Elasticsearch service as one of the earliest components, as a platform for running AI and ML workloads. Support for TensorFlow, PredictionIO<\/a> (which plays nicely with Elasticsearch) and other tools is also in the works. \u201cWe want to make this an easy serverless ML\/AI consumption in a multi-cloud fashion, where not only can you leverage the compute, but you can also have your storage of record at a very cost-effective price point.\u201d<\/p>\n

Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/64UCEh7N0Qw\/<\/p>","protected":false},"excerpt":{"rendered":"

Setting up Elasticsearch, the open-source system that many companies large and small use to power their distributed search and analytics engines, isn\u2019t the hardest thing. What is very hard, though, <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[19],"tags":[25],"class_list":["post-14589","post","type-post","status-publish","format-standard","hentry","category-enterprise-software","tag-enterprise"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t