Hyperglance: Custom Resources (BYOL)

Hyperglance: Up to 5000 Resources [Pay as you go]  is used in our organization to visualize, manage, and optimize multi-cloud infrastructures. It is very efficient and effective while we do that. Cloud cost optimization is what we use it for in the primary way, along with resource visualizations, and security and compliance monitoring. Ensuring that the cloud infrastructures meet the industry security and compliance standards is something very useful that Hyperglance: Up to 5000 Resources [Pay as you go]  provides.

Hyperglance: Up to 5000 Resources [Pay as you go] helps businesses monitor their cloud cost in real time by visualizing where money is being spent and identifying opportunities to reduce waste. It also provides actionable recommendations to optimize cloud expenses. This is especially valuable in environments with complex and large-scale deployments, allowing us to track and manage the cloud spending across multiple cloud providers such as AWS , Azure , or GCP.

Managing resources across multiple cloud platforms in a single interface is a significant advantage with Hyperglance: Up to 5000 Resources [Pay as you go]. In our companies, we are using multiple cloud providers to avoid vendor lock-in, and this allows us to manage and optimize resources across all these platforms in one place.

The cost optimization and management features of Hyperglance: Up to 5000 Resources [Pay as you go] are quite beneficial. Other than that, resource visualization and management are valuable, and the security features including security monitoring and compliance are also something good. Automated evaluations for optimizations and multi-cloud resource management are some of the main features which have been helpful.

Hyperglance: Up to 5000 Resources [Pay as you go] has positively impacted our organization through cost reduction for data workloads. In our company, we are running large-scale data tasks, such as machine learning models training on AWS  EC2  instances, and we noticed escalating costs over time due to high-performance instances being used for non-intensive tasks. Hyperglance: Up to 5000 Resources [Pay as you go] provided a visual representation of our cloud resources and usage, showing which EC2  instances were underutilized or overprovisioned. It recommended resizing the instances based on actual usage, which led to a reduction of 30% to 35% in cloud spending. The company was able to optimize instance types for data preprocessing and training, significantly lowering the compute cost without sacrificing performance. This helped our projects to keep within budget.

Hyperglance: Up to 5000 Resources [Pay as you go] needs to make the user experience more effective, especially for data science and tech teams. There are a few key areas for improvement. The current limitations in Hyperglance: Up to 5000 Resources [Pay as you go] are heavily focused on cloud environments and may not offer the same visibility in hybrid infrastructure. Better hybrid integrations can be added, for example, with data centers, local storage, and private servers. More granular resource-level metrics for data science applications would excel the visualization for cloud resources. The cost forecasting and budgeting tools are available, but the predictive analytics can be improved.

In my current field, I have been working for two and a half years. Earlier I was an intern, and I have converted to full-time in the past nine months.

Hyperglance: Up to 5000 Resources [Pay as you go] scales well for our team. The resource scale pricing available through AWS Marketplace  seems good. The UI performance, resource count pricing, and the initial setup complexities were very good. As our project size grows, Hyperglance: Up to 5000 Resources [Pay as you go] helps us to keep them under control from a financial perspective. We will need to monitor how quickly our infrastructure is growing and then ensure our implementation is also resourced, planned, and handled with clarity.

Customer support for Hyperglance: Up to 5000 Resources [Pay as you go] is proactive and helps us to achieve everything. Even with simple questions, they help us to work through things, and the support has been very proactive. Customer support is very active and good, and I would rate it a nine out of ten. It is very supportive, and the team has helped us from setup through any issues we face.

We switched from a different company to Hyperglance: Up to 5000 Resources [Pay as you go] for better resource visibility and optimization. The previous solution had streamlined cloud cost management, but Hyperglance: Up to 5000 Resources [Pay as you go] offered more simplified compliance and security monitoring. We made the switch for cost savings, efficiency gains, and real-time visibility.

The subscription fee for Hyperglance: Up to 5000 Resources [Pay as you go] was around $180 to $200. We have been using the enterprise plans for our organization. We have around 5,000 per month, and we can spend more because the scope of usage requires different support levels. With GCP, we used it on different platforms, and the cost was around 3,000, depending on the size of the team we are working with and the complexity we are building.

The other options we considered were Cloud by VMware, AWS Cost Explorer , Azure Cost Management  and Billing, and Spot .io, which is Spot  by NetApp. However, we started with Hyperglance: Up to 5000 Resources [Pay as you go].

Wherever cloud is being used and teams want to make efficient compliance in that particular organization, Hyperglance: Up to 5000 Resources [Pay as you go] is effective for the entire team because it has everything from real-time instances to clusters and storage, and everything would be covered. I would rate this product a nine out of ten.