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Examples of the 83,000+ reviews on PeerSpot:

Manpreet_Singh - PeerSpot reviewer
Senior Principal Infrastructure Engineer at Mphasis
Real User
Top 10Leaderboard
Used to manage Kubernetes infrastructure, but it doesn't have support from OCI
Pros and Cons
  • "The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow."
  • "The solution doesn't have support from OCI, and it should start working to onboard OCI."

What is our primary use case?

We use Spot Ocean to manage our Kubernetes infrastructure, including AKS and EKS.

What is most valuable?

The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow.

What needs improvement?

The solution doesn't have support from OCI, and it should start working to onboard OCI.

For how long have I used the solution?

I have been using Spot Ocean for nine months.

What do I think about the stability of the solution?

The solution has a lot of bugs.

What do I think about the scalability of the solution?

Around four people use Spot Ocean in our organization.

How are customer service and support?

The solution’s technical support is fantastic.

How was the initial setup?

The solution’s initial setup is easy.

What other advice do I have?

Spot Ocean is deployed on the cloud in our organization. I would recommend the solution to other users. You need to have an experience with Kubernetes, or else this product is of no use. It is not difficult to learn to use Spot Ocean.

Overall, I rate the solution a seven out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Dan Ambrose - PeerSpot reviewer
Infrastructure Engineer 4 at a tech vendor with 1,001-5,000 employees
Real User
Helps visibility, bridges the data gap, and frees up time
Pros and Cons
  • "On-premises, one advantage I find particularly appealing is the ability to create policies for automatic CPU and memory scaling based on demand."
  • "Turbonomic can modernize the look and feel, making it more user-friendly to access and obtain information."

What is our primary use case?

We leverage IBM Turbonomic to manage our 28 on-premises data centers, effectively optimizing resources and ensuring their operational efficiency. It helps us automate workload scaling to guarantee consistent application performance. Additionally, while we primarily use Turbonomic for on-premises management, we also utilize it within our AWS environment for cost optimization purposes. This allows us to identify and implement cost-saving measures within the cloud.

One of our key challenges was finding a tool that could provide a holistic view of our entire environment and report back key data points, such as CPU and memory usage. This would allow us to identify potential areas for cost savings. We were frequently receiving requests to increase resources like memory and CPU, so we needed a tool that not only gave us historical data but also empowered us to take action, whether that meant automating changes or manually making the changes and IBM Turbonomic does that.

How has it helped my organization?

We use IBM Turbonomic in a hybrid cloud environment. Although it supports multi-cloud capabilities, we currently operate in a single-cloud setting.

Turbonomic offers visibility into our environment's performance, spanning across applications, underlying infrastructure, and protection resources. 

The visibility and analytics help to bridge the data gap between disparate IT teams such as applications and infrastructure. This is important for awareness collaboration, cost saving, and helping to design and improve our application.

Enhanced visibility and data analytics have contributed to a significant reduction in our mean time to resolve. Tools like Turbonomic provide crucial visualization and insights, empowering us to make data-driven decisions instead of relying on assumptions as we did before. This newfound transparency translates to a massive improvement, going from complete darkness to having a clear 100 percent view of the situation.

Although our applications are not optimized for the cloud we have seen some improvement in response time.

IBM Turbonomic empowers us to achieve more with fewer people thanks to automation. Previously, customers frequently contacted us requesting resource increases to resolve issues. Now, we have a tool that allows us to objectively assess their needs, leading to a deeper understanding of our applications. This solution also generates significant cost savings in the cloud and optimizes hardware utilization within our data centers. Its AI algorithm intelligently allocates servers on hosts, maximizing efficiency without compromising performance. By fine-tuning resource allocation without causing performance bottlenecks, Turbonomic extends the lifespan of existing hardware, postponing the need for new purchases. This effectively stretches our capital expenditure budget. We started to see the benefits of IBM Turbonomic within the first 60 days.

IBM is a fantastic partner. Their tech support has been outstanding, and the product itself is excellent - a very solid offering.

By automating resource management with Turbonomic, our engineers are freed up to focus on more strategic initiatives like innovation and ongoing organizational projects. Previously, manually adding resources was a time-consuming process that interrupted workflows. Now, automation handles scaling efficiently, saving us thousands of man-hours and significant costs.

It has illuminated the need for SetOps. It has highlighted areas of overspending, and the actions we've taken have demonstrated significant cost savings.

IBM Turbonomic has positively impacted our overall application performance.

IBM Turbonomic has helped reduce both CAPEX and OPEX. It has also significantly reduced cloud build times.

What is most valuable?

On-premises, one advantage I find particularly appealing is the ability to create policies for automatic CPU and memory scaling based on demand. This improves elasticity and responsiveness to application needs. Additionally, IBM Turbonomic helps us track and quantify cloud cost savings, facilitating informed decision-making.

We're also implementing FinOps principles. By collaborating with other departments, we can demonstrate the cost implications of various resource allocations. For example, specifying a minimum processor requirement might incur higher cloud costs. This increased awareness through IBM Turbonomic allows us to predict impact and make cost-effective decisions.

What needs improvement?

Turbonomic can modernize the look and feel, making it more user-friendly to access and obtain information.

For how long have I used the solution?

I have been using IBM Turbonomic for over two years.

What do I think about the stability of the solution?

IBM Turbonomic is one of the most stable solutions that I have worked with in the last 26 years.

What do I think about the scalability of the solution?

IBM Turbonomic is highly scalable.

How are customer service and support?

The technical support team is both responsive and knowledgeable. They quickly escalate complex issues to someone who can resolve them efficiently.

How would you rate customer service and support?

Positive

How was the initial setup?

The initial deployment proved complex due to our extensive environment, encompassing over 23,000 VMs. This necessitated a year-long rollout, overseen by a dedicated team comprising a salesperson and a senior technical expert.

What about the implementation team?

IBM Turbonomic helped us with the implementation. They were a great partner.

What was our ROI?

We have seen a return on investment with IBM Turbonomic.

What's my experience with pricing, setup cost, and licensing?

IBM Turbonomic is an investment that we believe will deliver positive returns. We justified the purchase based on its potential to significantly reduce costs, which will allow us to recoup the investment and generate additional benefits. This ultimately makes refinancing a worthwhile option.

What other advice do I have?

I would rate IBM Turbonomic ten out of ten.

We need to perform regular maintenance due to the frequent release of updates.

I recommend that users review their internal processes and partner with other departments to facilitate company-wide implementation. Collaboration will be crucial, so ensure they have a FinOps practice in place, or establish one if necessary.

Which deployment model are you using for this solution?

Hybrid Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)
Disclosure: PeerSpot contacted the reviewer to collect the review and to validate authenticity. The reviewer was referred by the vendor, but the review is not subject to editing or approval by the vendor.
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