#1 most frequent
United States of America
56.4%66 installations of 117
What is IBM Turbonomic?
IBM Turbonomic is a performance and cost optimization platform for public, private, and hybrid clouds used by cloud, infrastructure operations, and architecture to assure application performance while eliminating inefficiencies by dynamically resourcing applications through automated actions.
Categories & Use Cases
Media
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Screenshot of IBM Turbonomic Action Center, where it shows the list of optimization actions across the global environment—on-prem and cloud—that should be taken to minimize cost while assuring performance.
Top Performing Features
Cost Management
Provision of tools for cloud instance rightsizing and user chargeback and billing
Category average: 8.4
Resource Management
Ability to manage and deliver cloud resources such as resource discovery and tagging, asset and license management and cloud-to-cloud migration
Category average: 8.8
Cloud Management Performance Monitoring
Monitoring of storage, network and application performance metrics to achieve business service levels
Category average: 8.5
Areas for Improvement
Cloud Management Security
Provision of various security capabilities such as Identity Access Management, encryption, and endpoint security
Category average: 8
Automation and Orchestration
Provision of automated services for application migration, VM images, and configuration management
Category average: 8.2
Systems Integration
Integration of internal and external systems to support multi-cloud management
Category average: 8.3
Who Buys & Uses IBM Turbonomic
#2 most frequent
Brazil
13.7%16 installations of 117
#3 most frequent
Canada
6.0%7 installations of 117
IBM Turbonomic and Its Functionality
Pros
- Automatically adjusts compute, storage, and network resources to maintain application performance without manual intervention or guesswork.
- Continuously identifies and eliminates overprovisioned resources, helping reduce cloud and data center costs across hybrid environments.
- Integrates with Kubernetes, VMware, and public clouds to deliver real-time, policy-driven automation for dynamic workloads.
Cons
- Reporting customization is somewhat rigid, making it harder to tailor dashboards to specific business KPIs or stakeholder needs.
- The user interface, while functional, feels dated and can be unintuitive for new users navigating complex resource relationships.
Return on Investment
- Automated resource management reduced manual monitoring efforts by over 60%, freeing up IT staff for strategic initiatives.
- Rea ttime performance optimization led to a 25% decrease in application downtime, enhancing service reliability for logistics operations.
- Predictive analytics enabled smarter capacity planning, aligning infrastructure growth with business demand more accurately.
- Improved overall operational efficiency and improved ROI.
Alternatives Considered
Dynatrace
Other Software Used
IBM watsonx.ai, IBM SevOne, Microsoft 365 Business Premium
IBM Turbonomic visibility for the enterprise
Use Cases and Deployment Scope
We use Turbonomic in our Power environment for AIOPS and balancing our SAP workloads. It provides recommendations for workload placement in order to optimise our compute, storage and network resources. It gives us real time monitoring and maps relationships amount applications and resources. We use it to automatically scale during peak times and maintain our performance requirements.
Pros
- Full stack visibility
- Performance assurance at scale
- Automation
Cons
- Lack of 3rd party Integrations
- High costs can be tough for organisations with small budgets
- The learning curve can be very steep
Return on Investment
- Better ROI
- Time spent by Administrators manually adjusting resources
- Increased performance and workload optimisation
Alternatives Considered
IBM Power Virtual Server, IBM PowerHA SystemMirror, IBM Spectrum Virtualize, IBM Storage Ceph, IBM Spectrum Control, IBM Storage Protect Plus and IBM Storage Scale
Other Software Used
IBM PowerVM
see my review
Use Cases and Deployment Scope
We use IBM Turbonomic for resource optimization, automation and performance incident resolution.
Pros
- Automation
- Capacity Plan
- AI for Upsize and Downsize actions in Virtual machines
Cons
- Expand your targets for other providers
- Indicate since when the shares have been recommended
Return on Investment
- Time
- Cloud cost
- Reduce VMware license
Other Software Used
Red Hat OpenShift, IBM Apptio
One Place for All My Monitoring Needs
Use Cases and Deployment Scope
IBM Turbonomic lets me keep an eye on both our infrastructure and our apps in one spot, it also lets me keep track of logs, metrics and traces across Backend, Frontend and third-party APIs.
Pros
- i can track frontend errors down to the exact line and even open them in my IDE
- it’s easy to correlate spikes across services which speeds up debugging
- the integrations with Slack, OpsGenie, and cloud providers save me setup time
Cons
- it’s really expensive
- configuring dashboards or monitors can feel overwhelming since the platform is too big
- some things require going deep into documentation
Return on Investment
- it has reduced downtime by helping us catch issues quickly with real-time alerts
- faster incident response has saved both time and customer frustration
- the ability to proactively spot anomalies has kept our systems more reliable
Other Software Used
Recurly, Db2, Microsoft Access, Auth0
Application Resource Optimization
Use Cases and Deployment Scope
IBM Turbonomic helps optimize cloud resources both performance and savings issues (increase or decrease resources like CPU, memory or even changing cloud families ) across cloud environments. Our SRE today have only to review generated actions with the application owners to apply or modify IBM Turbonomic policies so next actions be more accurate. Integrating with Service now its a plus since we can track down all actions with correct workflows.
Pros
- Cloud Optimization
- On-premise Optimization
- Kubernetes Optimization
- Automatic Actions
- IBM portfolio integration
Cons
- more clouds support like Oracle OCI
- Multi-currency support
- Use "on-the-fly" kubernetes CPU and mem change (beta on kubernetes)
Return on Investment
- Direct savings from Cloud
- Teams spend less time with debugging
- Application performance guarantee
Alternatives Considered
IBM Instana, IBM Concert, IBM Cloudability and Flexera ONE
Other Software Used
IBM Instana, Flexera ONE
