Amazon Web Services (AWS) provides a reliable and scalable infrastructure platform in the cloud. For many, however, the promise of agility and elasticity often comes with a lack of insight into what is needed from an application resourcing perspective. This leads to poor performance and bills that exceed budget.
The IBM® Turbonomic® platform continuously generates actions that optimize EC2 instances, RDS databases and EBS volumes based on real-time demand. Its prescribed actions help ensure performance while minimizing cost. Additionally, the IBM Turbonomic platform manages your RI inventory and directs actions that maximize RI utilization and coverage, all through the lens of application performance.
Data discovered
- Virtual machines (EC2 instances)
- Volumes
- Database servers (RDS instances)
- Zones
- Regions
- VM vCPU
- VM vMemory (if enabled)
- VM storage access (IOPS)
- VM net throughput
- VM I/O throughput
- VM storage amount
- VM reserved instance coverage
- Database vMemory
- Database vCPU
- Database storage amount
- Database I/O throughput
- RI inventory
- RI coverage (VMs)
- Scale up VM
- Scale down VM
- Scale up database
- Scale down database
- Delete unattached volume
- Buy RI for region
- *Storage actions coming soon
Amazon Web Services integration is one of several public cloud integrations available for the IBM Turbonomic platform. Connect to public cloud tooling to optimize your environment, including reserved instances inventory, with continuously generated actions based on real-time demand.
Calculate cloud investments and savings as resourcing actions are prescribed.
Optimize Azure VMs, databases and volumes based on real-time demand with continuously generated actions.
Leverage custom pricing to calculate workload size and reserved instances coverage for your Azure environment.
Match application demand to Google Cloud Platform’s configuration options continuously and in real time.
Calculate cloud investments and savings with greater accuracy.
Use Azure App Service to plan the makeup of your application deployment.