Ebook 'From FinOps to proven cloud cost management & optimization strategies'
Whitepaper 'FinOps and cost management for Kubernetes'

Improved R&D efficiency with predictable infrastructure and product delivery cost

Where Test Environment Management and FinOps meet. Book, coordinate and orchestrate pre-production environments and engage engineers in cloud cost savings

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Increase visibility of environments, their lifecycle and costs
Environment planning and booking
Integrations with Jira, Jenkins and Slack
Software version tracking
Environment performance monitoring
Proper R&D cost allocation and cost of delivery forecast

Integrations

Increase visibility of environments, their lifecycle and costs

Improve R&D and test environment management with detailed examination and visualizations.
Deep insights into actual resource usage are available via a single OptScale dashboard.

Be aware of any VM utilization, manage R&D and test environments, monitor resource consumption, identify underutilized resources, optimize spends with AI recommendations and accurate forecasts. Create, activate, archive or set TTLs to any environment.

Environment planning and booking

Get rid of spreadsheets, chats and complicated tools to identify R&D and test environments availability. Any distributed team can easily book clusters, VMs or any other resource usage, and avoid all the complexities of test environment utilization.

Track resource usage, discover a simple
way to acquire and release resources, organize simultaneous shared access with OptScale. 

OptScale is available on cloud marketplaces

AWS-logo
Alibaba Cloud marketplace

Integration with Jira, Jenkins and Slack

OptScale quickly plugs in any tool chain, due to the support of Jira, Jenkins and Slack. Assign environments to any task using Jira. Сreate a simple schedule, plan and book environment within your R&D teams to avoid conflicts via Slack.

Receive real-time notifications about
environment availability, expired TTLs or cloud budget exceeds in a familiar interface. Export or update environment and deployment information from your Jenkins pipelines.

Software version tracking
 

R&D teams might have dozens or even hundreds of environments with software versions. OptScale provides full visibility into the history of all stages of the R&D process on a single dashboard.

Tracking of all software package versions across all environments, keeping release notes and 1-click
access to historical deployment data help the team to debug the code and improve the efficiency of test environment management.

Proper R&D cost allocation and cost of delivery forecast

OptScale delivers an opportunity to create a budget for a specific project, feature, epic, milestone and all steps of an R&D process.

A cost allocation was designed to help R&D teams keep a budget under control, react quickly due to live alerts and notifications, serve audit purposes and forecast the cost of delivery in a straightforward way.

Environment performance monitoring

This feature helps identify underutilized or overloaded VMs to start the optimization process and enhance performance.

Monitor all the VMs, configuration details and components used in a test environment group with OptScale. Our solution provides R&D teams with quick access to multicloud key performance metrics like CPU loading, in/out network traffic, RAM and disk operations on a single dashboard.

Supported platforms:

AWS-logo
Alibaba Cloud Logo

News & Reports

FinOps & Test Environment Management

A full description of OptScale as a FinOps and Test Environment Management platform to organize shared environment usage, optimize & forecast Kubernetes and cloud costs

From FinOps to proven cloud cost management & optimization strategies

This ebook cover the implementation of basic FinOps principles to shed light on alternative ways of conducting cloud cost optimization

Engage your engineers in FinOps and cloud cost saving

Discover how OptScale helps companies quickly increase FinOps adoption by engaging engineers in FinOps enablement and cloud cost savings