It’s almost impossible for humans—no matter how skilled in DevOps, SRE or cloud—to continuously determine the exact compute, storage and database configurations for cloud applications to deliver performance at the lowest cost. So, you increase the allocation of cloud infrastructure to avoid application performance risks, and often end up with an unnecessarily high cloud bill.
Using the IBM® Turbonomic® platform’s AI-powered automation and cloud optimization solutions, you can continuously help ensure application performance (both traditional and cloud-native) and optimize costs. The platform’s cloud cost management tools work with public, private, multicloud and hybrid cloud environments and with any major cloud provider. With Turbonomic software, your cloud investments are smarter (it’s an ideal solution for organizations adopting FinOps!), automation is easier, and you can finally realize the promise of agility, elasticity and speed to market.
How to manage multicloud sprawl and runaway costs with automation
Optimize your cloud environment
Key outcomes
Identify cost-saving opportunities or required investments by analyzing resource usage, identifying underutilized resources and generating right-sizing actions
Maximize utilization of existing reservations, savings plans and committed use discounts—and identify opportunities to increase discount coverage
Support rapid release cycles by modeling and optimizing costs through “what if” planning scenarios
Understand the interdependencies between applications and infrastructure, proactively identify bottlenecks and take optimization actions to enhance performance and reduce costs
Automate self-optimization to eliminate resource contention issues, freeing up teams from troubleshooting and firefighting
Dynamically adjust resource allocation in real time to match workload demands, eliminating underutilization and overprovisioning while maintaining performance
Optimize across public, private, hybrid and multicloud—from your own data centers to AWS, Azure and Google Cloud—within a single instance of Turbonomic
Equip diverse and cloud-specific teams to manage multiple technology stacks through Turbonomic’s common supply chain abstraction
Embrace vendor agnosticism to operate at the speed your business demands
- Turbonomic seamlessly and agentlessly integrates with your cloud provider(s), optimizing cloud costs and assuring application performance
How Turbonomic addresses common cloud challenges
Turbonomic's AI-powered software continuously generates hybrid cloud cost optimization actions that dynamically match application demand to infrastructure supply. This helps ensure applications receive exactly what they need to perform at the lowest cost. These actions do not risk performance because our analytics engine accounts for the resource needs and dependencies across the full stack, from application to platform to hardware.
The automatable, scalable solutions Turbonomic software provides allow you to drive efficiency in your cloud usage, improve your cost analysis and maximize the value of your cloud budget.
Turbonomic's analytics engine automatically ingests and displays negotiated rates with public cloud providers. It then generates specific reserved instance purchasing and scaling actions so you can take full advantage of existing RI inventory and maximize reservation-to-instance coverage.
Turbonomic enables you to integrate hybrid cloud cost optimization actions into your pipelines, processes and workflows. With Turbonomic, you can execute automation with ease and achieve immediate outcomes that last.
The Turbonomic platform provides easy-to-use cloud migration planning that allows you to optimize your cloud resource consumption from the start and simplify your cloud migration.
Turbonomic software automatically optimizes your applications’ resourcing levels while dynamically scaling with business needs in real time. With a modernization strategy you get a more efficient data center and better business outcomes.
Turbonomic software automatically determines the right resource allocation actions—and when to make them—to help ensure your Kubernetes environments and mission-critical apps get exactly what they need to meet your SLOs.