

IBM Turbonomic and Harness compete in software optimization and application delivery. IBM Turbonomic has an edge in resource management, while Harness leads in integration and deployment.
Features: IBM Turbonomic is outstanding in resource optimization, making it suitable for cloud management and data centers. It focuses on cost efficiency and comprehensive resource control. Harness is notable for its pipeline management and automation, streamlining deployment. It enhances development processes and accelerates software release cycles.
Ease of Deployment and Customer Service: IBM Turbonomic involves a complex setup and a steeper learning curve. It provides thorough customer service, albeit slower. Harness is recognized for easy deployment and intuitive setup, offering responsive customer service for faster troubleshooting and integration.
Pricing and ROI: IBM Turbonomic requires a moderate initial cost with savings through resource optimization and reduced operational costs. Harness, with competitive pricing, offers a possibility for higher immediate return by reducing time-to-market, suiting organizations emphasizing deployment speed and agile approaches.
By adopting templates and various different pipelines across our own IDP platform, we have saved upwards of 30 to 40% of development time.
I believe the efficiency improvement is more than a twenty to thirty percent increase compared to Jenkins.
With Harness, the release process decreased from three or four hours to one or two hours, making deployments much quicker.
We have not faced any customer support issues, with tickets resolved in less than a four-day SLA.
We have rarely faced issues with Harness tech support.
We have been receiving incident reports whenever an incident occurs on Harness, and they are usually quick to respond.
Our entire organization uses it with hundreds of applications, and it supports this scale effectively.
It is able to work on our infrastructure side, which is EKS, and we are able to handle our organization growth effectively for an enterprise use case.
Currently, out of twenty teams that are supposed to adopt it, five or six have adopted Harness, and we have not seen any kind of scalability issues, such as slowness in performance or build time reduction.
Harness is completely stable, and we are using it in production without facing any stability issues at all.
We have rarely faced issues with Harness tech support.
Harness is decently stable.
There is no way to execute nested pipelines, which means that we cannot execute child pipelines within child pipelines and child pipelines even within those child pipelines.
Harness can be improved by providing more clarity on the credits it issues for Harness Cloud, as it has a tiered pricing structure involving license and credit costs, which can get confusing.
Previously, when deploying a version that had been deployed successfully before, it sometimes failed upon trying again, which seems to be an intermittent issue about stability.
From what I understand with respect to Harness, licensing and setup costs were relatively low for an enterprise, and the pricing was more catered toward enterprises who would invest in the technology.
Harness uses AI to suggest errors in case of deployment failures.
One of the best features Harness offers is the ability to templatize pipelines.
The best features in Harness are its user-friendliness and setup configuration.
| Product | Mindshare (%) |
|---|---|
| IBM Turbonomic | 6.3% |
| Harness | 2.0% |
| Other | 91.7% |
| Company Size | Count |
|---|---|
| Small Business | 1 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 41 |
| Midsize Enterprise | 57 |
| Large Enterprise | 147 |
Harness offers a comprehensive toolset for automating deployment processes and enhancing software update efficiency. It's lauded for its CI/CD capabilities, feature flagging, and real-time deployment monitoring. Key features include an intuitive UI, secret management, and robust rollback functionalities, all contributing to improved productivity and reduced errors in DevOps environments.
IBM Turbonomic enhances IT efficiency with automation, capacity planning, and reporting features, enabling organizations to optimize resource utilization and improve performance through advanced workload management and scenario analysis.
IBM Turbonomic equips organizations with robust capabilities for dynamic resource allocation and informed decision-making. Its planning module provides scenario analysis, right-sizing recommendations, and a customizable dashboard for tailored insights. Automation features improve workload placements and resource efficiency, while forecasting capabilities enhance performance. Simulation of environments helps in decision-making, leading to significant savings in cloud and hardware management. There is a need for a more intuitive interface, enhanced navigation, and improved customization in reporting with integration potential with third-party applications. Transition to the HTML5 interface and stronger training resources are among anticipated improvements.
What are the key features of IBM Turbonomic?IBMTurbonomic is implemented across industries such as cloud management and virtualization, helping organizations balance clusters, optimize virtual machine performance, and manage Azure configurations. In resource-monitored environments like VMware and XenServer, its features facilitate load balancing, VM rightsizing, and automation shutoffs. Industries can rely on its insights for cost-saving measures, ensuring efficient resource allocation for hybrid and cloud environments.
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