Data residency and internal control
Keep engineering telemetry, workflow data, and quality signals inside the infrastructure boundary your organization already governs.
Oobeya On-Premise
Oobeya’s on-premise deployment is a strategic advantage for organizations that cannot compromise on governance, data residency, or infrastructure control. That is why it is a strong fit for finance, banking, insurance, public sector, and defense teams.
Why teams choose on-premise
Built for banks, insurers, public sector, and defense
A deployment model that aligns with stricter governance, procurement, and infrastructure expectations in regulated environments.
The Oobeya advantage
Many engineering intelligence tools assume cloud-only deployment. Oobeya gives organizations another path: modern delivery visibility without forcing a compromise on infrastructure control.
Keep engineering telemetry, workflow data, and quality signals inside the infrastructure boundary your organization already governs.
Run Oobeya AI LLM Chat with a fully on-premise local model so prompts, context, and responses stay inside the same controlled environment.
Support environments that have tighter network policies, private access requirements, or restricted cloud usage expectations.
A strong advantage for banking, insurance, public institutions, defense, and other organizations with stricter deployment standards.
Setup options
Oobeya supports container-first and Kubernetes-native deployment models, including environments where Oobeya AI LLM Chat also runs against a local on-premise model.
Deployment path
A strong fit for VM-based or container host setups where teams want a direct, controllable installation model.
Deployment path
Deploy Oobeya into your cluster with persistent volumes, ingress configuration, and namespace-level isolation.
Deployment path
Use Helm-centered operational workflows where your platform team standardizes packaging, upgrades, and environment management that way.
Deployment path
Run Oobeya in enterprise Kubernetes environments commonly used by platform teams in cloud or hybrid-control architectures.
Azure-ready procurement
Run on your private Azure Cloud.
For organizations standardizing on Azure, Oobeya can fit both sides of the decision: procurement through Microsoft Marketplace and deployment inside a private Azure-controlled environment.
Commercial path
Align purchasing with the Microsoft ecosystem many enterprise platform and procurement teams already use.
Deployment path
Operate Oobeya in a private Azure cloud model while maintaining the infrastructure control your teams require.
Best-fit sectors
On-premise is not a niche checkbox here. It is a real adoption advantage when infrastructure standards, data handling, or security constraints shape how engineering platforms must be introduced.
For organizations that need stronger control over engineering data, internal access boundaries, and deployment governance.
A better fit where auditability, system ownership, and infrastructure policy matter across software delivery operations.
Helps modernize engineering visibility while respecting public infrastructure, residency, and procurement realities.
Supports environments where cloud assumptions are not acceptable and infrastructure control remains non-negotiable.
On-premise FAQ
These are the most common deployment, security, procurement, and rollout questions we hear from organizations evaluating Oobeya for high-control environments.
Oobeya on-premise means the platform runs inside infrastructure your organization controls rather than as a shared public SaaS environment. That can include container hosts, Kubernetes clusters, private cloud environments, and stricter network-bound setups depending on your operating model.
Organizations using Oobeya
Oobeya is used across banking, telecom, insurance, software, retail, and large-scale enterprise engineering teams that need a shared view of delivery, quality, workflow, and improvement signals.
Customer story
Sicredi connects 3,000+ developers and 10,000+ repositories in Oobeya, giving a large, distributed engineering organization one trusted view of delivery, governance, productivity, and platform health.
Watch storyUse Case
SD Worx evaluates tribe-based delivery metrics across around 100 development teams in 10+ countries, helping distributed engineering groups compare delivery health with one shared language.
Use Case
Turkcell brings 4,000+ developers, thousands of repositories, and multiple group companies into a shared visibility model for DevOps standardization, AI metrics, and portfolio-level engineering insight.
Use Case
Koc Group, a Fortune 500 company, uses Oobeya to assess 2,000+ developers across 10+ group companies on one platform, aligning diverse industries around the same engineering assessment model and improvement rhythm.

Use Case
TEB, a BNP Paribas company, uses Oobeya to turn Azure DevOps and SonarQube data into clearer improvement priorities, helping enterprise teams move from fragmented metrics to practical, comparable recommendations.

Use Case
Etiya uses Oobeya to make telecom software delivery measurable across complex teams, with the Gamification module helping drive engagement around process health and improvement signals.






















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Share your infrastructure model, compliance expectations, and deployment questions. We will help you evaluate the cleanest path for your organization.