Spot Cloud Analyzer Reviews & Product Details

It’s super easy to use and gives smart, automated suggestions to cut down cloud costs. The dashboards are clear, and it integrates smoothly with our setup. Plus, the support team is always helpful when we need them. Review collected by and hosted on G2.com.

I do not like the learning curve for this tool, some features need extra setup and technical expertise to use them. Review collected by and hosted on G2.com.

The Cloud Analyzer platform offered by Spot is best for optimizing our cloud expenses and resource management. Within a few steps, we can overview our enterprise cloud spending and prepare a workaround to build more cost-efficient architecture. It efficiently tracks and monitors our cloud expenses and targets wastage and potential areas where we can optimize our AWS platform further through its executable action items. Review collected by and hosted on G2.com.

Overall, Spot Cloud Analyzer is great for our organization as it provides fantastic visibility to measure cost and improve efficiency in our AWS platform. An area of improvement could be suggested in its Documentation, where further use cases could be briefed. Review collected by and hosted on G2.com.

The ease of integrating Spot to AWS was seamless and required minimal effort. Once you overcome the initial setup, get used to navigating the UI, and get help when you need it from the excellent support team, everything afterward is about managing the proper configuration to best suit your usage. Even that is easy with built-in analysis and great chart visualizations! Review collected by and hosted on G2.com.

The UI can be unresponsive sometimes and slow to load. Review collected by and hosted on G2.com.

I have been a customer of SpotInst since 2016 and they have exceeded my expectations throughout the time using the product. From simplifying our challenges of leveraging the spot market in AWS, to helping us manage Kubernetes clustsers while attempting to scale horizontally and vertically, to leading us in the right direction with respect to Reservations and Savings plans, and to their latest work around cost analysis and areas of opportunity to reduce costs, it has been a fantastic journey/experience.

I should also mention we have worked with their technical teams to help us build out and manage our Spark clusters on AWS EMR so that we could run these clusters at the lowest costs possible, with a mix of spot (mostly) and RIs (small amount).

Finally, their support/customer success team is always highly responsive and their solutions architects are incredibly knowledgable in their respective areas of the product.

I do want to mention I have recently switched companies and when the time is right, I will be looking to bring them on at my new company. Review collected by and hosted on G2.com.

Honestly, there is nothing I don't dislike. They are attentive, the solution solves a problem we have, and we have never had an issue leveraging the platform.

Maybe one small nit - I wish the UI for their SaaS platform was more performant. At times, it can take more than 5 seconds for parts to load. Review collected by and hosted on G2.com.

I find the console very easy and intuitive to use, displays very helpful information about each elastigroup, and it's very affirming to see the cost saving in big characters! Seeing the overall CPU/memory allocation within the Spotinst console itself is very handy when quickly deciding if scaling is necessary. There are so many exciting features like machine learned purchase strategies and fully managed k8s/ECS via Ocean which unfortunately we haven't had time to investigate but look very promising indeed. I once raised a question in the slack channel and was very impressed with how helpful and timely the response was, very much appreciated. Review collected by and hosted on G2.com.

Although I did not implement this or visit this in detail myself (and very likely that this is no longer the case) it still appears that there is still significant JSON config to consider when setting up an elastigroup, enough to make me consider whether the extra effort is worth it for platform/DevOps teams of a big enough size to consider their own AWS spot fleet strategies and save on the Spotinst pct fee. Again we don't use all of the features and I think the preference would likely swing back to using Spotinst if I got time to learn all the benefits and features. Review collected by and hosted on G2.com.

The ability to clone existing architecture into a spot group provides for a very fast integration into an existing production environment and does so with minimal effort, ensuring optimization of performance and cost without weeks of development. You can even get the output code required to integrate SpotInst into a development pipeline, ensuring the ability to integrate SpotInst into even complex environments. Review collected by and hosted on G2.com.

The only element of SpotInst that I disliked or found mildly challenging is the need to manage the resources in another platform. This can create confusion in some cases if not planned for accordingly, but is a very minor obstacle in an otherwise flawless solution. I'd suggest tagging resources to allow for better clarity over this. Review collected by and hosted on G2.com.

Getting Elastic Beanstalk services running on SpotInst is simple and straightforward. The cost savings are huge and I've never noticed any worse performance from the services I've run on it. Review collected by and hosted on G2.com.

Reconfiguring Elastic Beanstalk that's being managed by SpotInst has never worked well. I've always ended up with everything in a broken state that I can't seem to get working again, and every time I've just started from scratch with a new EBS environment. Review collected by and hosted on G2.com.

We have been using GKE non preemptible nodes with autoscaling for a while now. What we learned from that is that there are many reasons why nodes will not downscale when we want them to. Good thing with spotinst is that since we can finally use preemptible nodes reliably, the nodes are being rebalanced every day -> lowering our cost with preemptible nodes + scaling! Review collected by and hosted on G2.com.

Got a lot of issues with the Spotinsts UI and that was annoying. But the support have always been reactive.

Spotinst is supposed to lower our Cloud Cost so it should take into account the Cloud credits. Does it make sense to use Spotinst when we have a credit? Yes, for the above reason. Do we wanna pay? No, we are using a credit already. Will we use Spotinst after our credit is gone? Definitely and we would understood how it works much better.

StatefulSet? How to deal with that? Review collected by and hosted on G2.com.

I like the additional set of features that Spotinst provides to build upon the functionality afforded by Spot Fleets. I like the ability to select a range of instance types and the simplicity of configurations for retaining EBS volumes and private ips from instance retirement to instance replacement. These are things that would take hours of scripting work to accomplish with the default tooling AWS provides. Review collected by and hosted on G2.com.

The autoscaler for the ECS integration is still lacking configurability in some respects. We still use custom autoscalers running in Lambda because they can accomplish scaling calculations that SpotInst does not support--i.e. scaling off of a datadog metric. Review collected by and hosted on G2.com.

One of the biggest upsides of Spotinst is cost savings. We have saved thousands of dollars over the past year not just in compute resources, but also human resources. Review collected by and hosted on G2.com.

One of the things we dislike is the time it takes for Spotinst to recognize that a service was scaled up and it can take some time (if at all) for Spotinst to realize this and create a new instance in order to meet the new requirements for the service. Review collected by and hosted on G2.com.