Do you need to manage your Hewlett Packard Enterprise Converged Infrastructure with VMware®?
HPE OneView for VMware vCenter with Operations Manager and Log Insight seamlessly integrates the manageability features of HPE Synergy, HPE ProLiant servers, HPE BladeSystem, HPE Virtual Connect and HPE Storage with VMware solutions. You can gain deep insight and control of virtualized Hewlett Packard Enterprise Converged Infrastructure environments while reducing the time it takes to make important changes, increase capacity or manage planned and unplanned downtime. When used with the automation power of HPE OneView, best practices for Converged Infrastructure can be defined once and reused many times to provision an entire cluster with compute and storage fully configured in five easy steps. Integrations with VMware vRealize Operations, Orchestrator, and Log Insight deliver powerful analytics, automation, and deeper troubleshooting tools to your VMware administrators.
Could managing your HPE Synergy infrastructure, HPE ProLiant Servers, HPE Storage, HPE enclosures, and HPE Virtual Connect with a single, effective product be a benefit to your business?
HPE OneView for Microsoft System Center provides seamless integration of the powerful HPE ProLiant, HPE Storage, and HPE BladeSystem manageability features into Microsoft® System Center. Licensed with HPE Synergy and HPE OneView, these extensions deliver comprehensive system health and alerting, driver and firmware updates, OS deployment, detailed inventory, and HPE Virtual Connect fabric visualization. Integrating the management features of HPE Synergy, HPE ProLiant Servers, HPE Storage, and HPE BladeSystem into Microsoft System Center consoles, administrators can gain greater control of their technology environments. This provides consistency for software deployment and updates and enables a faster response in the event of server or storage failure, reducing the risk of downtime.
HPE OneView for Microsoft Azure Log Analytics provides a bridge between Microsoft® cloud management services and Hewlett Packard Enterprise hardware infrastructure. It allows you to manage on-premises infrastructure with the same Microsoft tools used for cloud services. HPE OneView for Microsoft Azure Log Analytics brings visibility of the underlying Hewlett Packard Enterprise infrastructure, including hardware, firmware inventory, infrastructure health, status, long term event correlation, and trend analysis. Data is automatically collected from HPE OneView and HPE Synergy is processed using the Azure™ Log Analytics engine running in the Azure public cloud. Licensed as part of HPE OneView and HPE Synergy, HPE OneView for Microsoft Azure Log Analytics is highly extensible and customizable, allowing you to take advantage of cloud based management for your on-premises environment.
How does my organization more efficiently and effectively analyze data in my Hadoop cluster environment? HPE Vertica SQL on Hadoop offers the fastest and most enterprise-ready way to perform SQL queries on your Hadoop data. We’ve leveraged our years of experience in the big data analytics marketplace and opened up our platform to use the full power of the Hadoop cluster. By offering an open, fast and enterprise-ready implementation of SQL on Hadoop, users can perform analytics regardless of the format of data or Hadoop distribution used.
Click here for more details on how HPE Vertica SQL on Hadoop handles your mission-critical analytics projects by merging the best of our analytics platform with the best that Hadoop can offer.
Do you need to improve data management in your HPC and AI Linux® storage environment? The HPE Data Management Framework (DMF) provides more efficient utilization of storage infrastructure, reduced time to insight, and allows for petabyte scale backup and Point-in-Time restoration of data. A new architecture allows for extensible metadata, which allows tagging data with attributes which can be queried to allow simplified creation of data sets. Along with data set labeling, job scheduler integration and the built-in policy engine, data intensive workflows can be automated and streamlined through automatic data set creation, staging of data, and data movement for processing. This automated data management functionality allows efficient utilization of storage infrastructure by removing stale data from defined data tiers and provides a virtual storage space that appears to be unlimited in size. Needed data is automatically retrieved as needed, making storage look ""bigger on the inside.""