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OptScale — FinOps
FinOps overview
Cost optimization:
AWS
MS Azure
Google Cloud
Alibaba Cloud
Kubernetes
OptScale — MLOps
ML/AI Profiling
ML/AI Optimization
Big Data Profiling
OPTSCALE PRICING
Acura — Cloud migration
Overview
Database replatforming
Migration to:
AWS
MS Azure
Google Cloud
Alibaba Cloud
VMWare
OpenStack
KVM
Public Cloud
Migration from:
On-premise
Acura — DR & cloud backup
Overview
Migration to:
AWS
MS Azure
Google Cloud
Alibaba Cloud
VMWare
OpenStack
KVM

R&D cost allocation and cost of delivery forecasts

Complete cost transparency across all IT environments is the most effective way to keep the R&D process costs down and get a predictable delivery cost
R&D cost allocation

Today an R&D process is affected by a lack of transparency across test environment costs. OptScale brings complete visibility into phases of the development and a test process and helps optimize resource spending

Cost-allocation-reports-for-all-stages-of-an-R&D-process

Cost allocation reports for all R&D process stages

Cost of delivery forecast

Cost of delivery forecasts

Full-budget-control-under-cloud-on-premise-test-environments

Full budget control over cloud and on-premise test environments

TTLs-live-alerts-notifications

TTLs, live alerts and notifications

Cost allocation reports

Cost allocation reports for all R&D process stages

With OptScale engineering teams get an opportunity to create custom budgets for specific projects, features, epics, milestones, or releases, and allocate the cost for all phases of the development and a test cycle. It brings complete cost transparency under QA environments and helps reduce expenses on the R&D process.

Cost of delivery forecasts

Cost of delivery forecasts

Based on the customer’s cost model, usage patterns and continuous monitoring of all stages and components of the R&D process, OptScale generates a cost of delivery forecast. The forecast enables team leads to prevent budget overruns and improve the test environment management strategy.

Full budget control

Full budget control over cloud and on-premise test environments

It’s a common case when companies use cloud and on-premise test environments for their R&D process. OptScale enables QA teams to keep track of test infrastructure launched on AWS, Microsoft Azure, GCP, Alibaba Cloud, Kubernetes clusters, and on-premise test environments. The consolidated budget helps take the budget under control and forecast the price of the R&D process.

TTLs, live alerts and notifications

TTLs, live alerts and notifications

Live alerts and notifications allow R&D teams to stay informed of cost and usage of test environments across cloud platforms or on-premise infrastructure. Customer’s TTLs rules help not to exceed expense limits at any stage of the R&D process. Integration of OptScale with Slack gives an opportunity to get real-life notifications associated with deployments, test environments usage, updates or any state changes in a straightforward way.

Supported platforms

aws
google cloud platform
Alibaba Cloud Logo
Kubernetes

News & Reports

FinOps and MLOps

A full description of OptScale as a FinOps and MLOps open source platform to optimize cloud workload performance and infrastructure cost. Cloud cost optimization, VM rightsizing, PaaS instrumentation, S3 duplicate finder, RI/SP usage, anomaly detection, + AI developer tools for optimal cloud utilization.

FinOps, cloud cost optimization and security

Discover our best practices: 

  • How to release Elastic IPs on Amazon EC2
  • Detect incorrectly stopped MS Azure VMs
  • Reduce your AWS bill by eliminating orphaned and unused disk snapshots
  • And much more deep insights

FinOps and cloud cost optimization for ML/AI workloads

Join our live demo on 21th 
February and discover how OptScale allows running ML/AI or any type of workload with optimal performance and infrastructure cost.