Developers and agentic builders
Request infrastructure through self-service and get reviewable Terraform without writing every line of HCL. Edit the code directly whenever you want full control.
Infrastructure that keeps up with your code.
StackShark automates Azure-to-GitHub migrations, generates maintainable Terraform, standardizes CI/CD, and finds cloud savings for platform teams and agentic builders.
Built by infrastructure practitioners with hundreds of years of combined experience across cloud, AI, DevOps, security, and platform engineering.
IaCDevOpsFinOpsObservability
One platform. Different wins for every team.
StackShark connects the people writing code, the teams defining the platform, and the leaders accountable for delivery and cloud economics.
Platform engineering teams
Define approved modules, workflows, and infrastructure standards once. StackShark applies them during generation so developers get self-service without turning governance into a ticket queue.
Business and cloud leaders
Modernize delivery with deterministic blueprints, selective AI, and customer-owned outputs—reducing operational variance without adding an opaque automation layer.
Move off Azure DevOps without rebuilding everything by hand.
StackShark analyzes what you have, maps the target architecture, and generates reusable GitHub workflows and repository structures designed to scale across the organization.
Azure Pipelines GitHub Actions
Azure Repos GitHub Repos
GitHub’s documented migration workflow spans audit, forecast, dry run, and production migration—and identifies manual work for secrets, service connections, agents, environments, and approvals. GitHub migration guide
Plan a migrationMIGRATION BLUEPRINT
Azure DevOps → GitHub
Current estate
StackShark- 01Assess the estate
- 02Generate target assets
- 03Standardize for reuse
Target platform
Outcome: GitHub assets designed around reusable organization patterns
SELF-SERVICE INFRASTRUCTURE AS CODE
Request a change. Generate governed, reviewable Terraform.
StackShark self-service
- Describe the change
- Apply approved standards
- Generate reviewable HCL
Self-service Terraform, governed by default. Full control of the code.
Developers request environments and module changes through self-service. StackShark applies approved modules, patterns, and infrastructure standards while generating maintainable Terraform. Teams can still review, edit, and own every line of HCL.
Self-service
Request environments and module changes without starting from HCL.
Automated governance
Apply approved standards as Terraform is generated.
Code ownership
Review, edit, and own the generated Terraform.
Delivery systems that scale past the first repository.
Generate CI/CD pipelines once, then reuse them across applications, teams, and environments instead of rebuilding the same delivery logic for every repository.
DORA’s 2024 research found that internal developer platforms can increase developer productivity, with the strongest results tied to user-centered design and developer independence. DORA research
Standardize deliverySTACKSHARK / DELIVERY BLUEPRINT
Reusable organization pipeline
policy-as-codeshared actionssafe rollout
Find the cloud waste. Keep finding it.
StackShark performs deep FinOps analysis, surfaces concrete recommendations, and helps maintain the optimization work as infrastructure and usage change.
29%
Estimated wasted IaaS and PaaS cloud spend in Flexera’s 2026 State of the Cloud Report.
Read the reportDeep analysis
Inspect resource patterns and highlight where attention can create savings.
Ongoing optimization
Keep recommendations current as environments evolve.
The FinOps Foundation’s 2025 survey also ranked workload optimization and waste reduction as practitioners’ top current priority. State of FinOps
Analyze cloud spendCONTINUOUS FINOPS
Find opportunities. Turn them into action. Repeat.
Observe
Resource and spend signals
Analyze
Usage and cost patterns
Recommend
Prioritized opportunities
Track
Optimization over time
EXAMPLE ANALYSIS AREAS
Blueprints for repeatable work. AI for the moments that need it.
StackShark does not call AI for the sake of calling AI. Common infrastructure changes run through prebuilt, deterministic blueprints. AI is used selectively when customer-specific context requires interpretation.
We use AI extensively to create and improve the blueprint library. Customer outputs remain reviewable, editable, versionable, and fully controlled by the customer.
StackShark can sit beneath coding tools such as Cursor, Claude, or Codex without implying a partnership or forcing another opaque AI layer into the runtime path.
Request beta accessSTACKSHARK AUTOMATION MODEL
Deterministic by default. AI when the work requires it.
CUSTOMER CONTEXT
- Requested infrastructure change
- Existing environment
- Organization standards
Prebuilt blueprint
Default path for repeatable work
Deterministic • governed • repeatable
Selective AI reasoning
Only for customer-specific interpretation
Targeted • reviewable • bounded
CUSTOMER-OWNED OUTPUT
Terraform HCL
CI/CD workflows
Recommendations
Review • edit • version • apply
Questions about StackShark.
Direct answers about infrastructure automation, Terraform ownership, governance, AI, migrations, and FinOps.
What is StackShark?
StackShark is an infrastructure automation platform for developers, platform engineering teams, and cloud leaders. It focuses on Azure DevOps-to-GitHub migrations, self-service Terraform, reusable CI/CD, automated infrastructure governance, and ongoing FinOps optimization.
Does StackShark replace Terraform?
No. StackShark generates and maintains Terraform HCL through a self-service interface. Customers can review, edit, version, and own the resulting Terraform code directly.
Do developers need to write HCL?
Not for every change. Developers can request environments or module changes through self-service and receive generated, reviewable HCL. Engineers who prefer to work directly in Terraform retain full control.
How does automated infrastructure governance work?
Platform teams define approved modules, patterns, and infrastructure standards. StackShark applies those standards while generating Terraform and delivery workflows, so governance is part of the output rather than a separate manual ticket queue.
How does StackShark use AI?
StackShark is blueprint-first, not AI-first. Repeatable work uses deterministic, prebuilt blueprints. AI is used selectively when customer-specific context requires interpretation, and it is also used extensively to create and improve the blueprint library.
Can StackShark migrate Azure DevOps to GitHub?
StackShark automates Azure Pipelines-to-GitHub Actions and Azure Repos-to-GitHub Repos migrations, with an emphasis on reusable organization patterns rather than one-off file conversion.
What does StackShark analyze for FinOps?
StackShark performs deep cloud-cost analysis, identifies optimization opportunities, provides recommendations, and supports ongoing tracking as infrastructure and usage change.
Who owns the generated infrastructure code?
The customer does. StackShark outputs are designed to remain inspectable, reviewable, editable, versionable, and controlled by the customer.
Tell us what StackShark should automate first.
Are you migrating Azure DevOps, cleaning up Terraform, standardizing delivery, or reducing cloud spend? Tell us where the manual work is piling up.