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Why we started CloudVerse

Chand Deshwal
AI/ML | Data Science | Cybersecurity | Digital Strategy
Certificate
Previously at

The multicloud ramp

As of 2021, Gartner has reported a 19.6% CAGR for cloud services adoption. Many of which have spent enough time for test-and-trial and transitioned towards distributing workloads and applications onto more than one cloud. Multicloud deployment is one of the many cloud choices engineers go for to:

  • Ensure global availability: provider selection is affected by where the customer base is most concentrated in and the data center locations available. Optimal performance and compliance to region-specific regulations are always amongst the key considerations. 
  • Avoid lock-in: independence in cloud portfolios minimizes the rework efforts in case of migration as providers do not share the same data formats, APIs or other connective services.
  • Get what each cloud does best: pricing advantages or technical features (e.g., compute and storage assets on AWS, networking resources on Azure) are instances that businesses with go for a mix of providers rather than one.

SaaS firms and teams that are also leveraging cloud infrastructures need their services to be hosted in a single location. Fallbacks relating to response time, data transfer costs and on-time troubleshooting are what multicloud strategies solve.

What’s “harder” with multicloud?

Using multiple clouds equates to managing multiple clouds. 

To monitor resource usage and spending, using provider-specific native cost tools is most common. While this might work in a single-cloud deployment, finance and IT soon realize the added silos and effort for centralized visibility.

Billing and pricing structures 

Diverse pricing models like spot pricing, reserved capacity or resource-specific discounts offer users the opportunity to make every penny count. 

But the result is shadow IT if not done right. 

There’s no common definition for APIs, cost metrics, calculation formulas or resource types. And to make matters worse, the person in charge of cloud finance will need to learn all the cost variances from provider-to-provider.

Custom cost dashboards and perspectives

Resources and spending need to be mapped to individual projects, business units, regions, or even customers. Native tools do well to dissect the consumption within a single cloud. 

The issue arises when questions like “How much are we spending on cloud X for project Y” pop up from management. To have these custom views, extracting multicloud data into a single view requires either workarounds with third party services or locking in more solutions from providers.

Additionally, decentralization also makes accountability a lot harder.

One less cost tool to manage spending: CloudVerse

Keeping cloud usage under control needs a technological layer that sits above all the service providers. It’ll be responsible for the integration of multiple clouds, centralizing consumption KPI and decluttering raw data into optimization insights.

CloudVerse is a cost management platform for PaaS, IaaS and SaaS clouds. Designed to streamline spending analysis and management between Finance and IT, CloudVerse aggregates consumption patterns by assets, providers and projects.

Highlights

  • Seamless governance: implement thresholds, budgets and alerts 
  • Admin controls: assign edit and view-only permissions to projects, teams and departments
  • Key cost drivers: drill down to spend vs. budget and which resource category the team dollars most to by a cloud provider and account
  • Anomaly analysis: collect unusual spikes or underutilization events to foresee in the future
  • Containers visibility: see utilization details within each cluster, node and pod
FinOps enablement
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The practical way to manage your multicloud spending

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