Permission-Aware AI Chatbots: Access Control, Data Residency and DPDP
An assistant that can read every document in your company is an incident waiting for a question. Access control, residency and…
We turn slow, manual releases into automated, auditable pipelines — so your engineers ship several times a day without waking up at 3am.
Most engineering teams do not have a tooling problem. They have a flow problem: environments drift, releases are hand-held, and nobody can say with confidence what is running in production. Exubers designs the delivery platform that removes that uncertainty.
We have built and deployed core CI/CD systems using Jenkins, SonarQube and JFrog Artifactory with deployment pipelines targeting multiple environments across on-premise and cloud. We have created entire infrastructure estates using infrastructure-as-code with Terraform, Packer and Git, and implemented autoscaling so applications absorb peak load without a single manual intervention.
Every engagement is scoped from this set. We do not sell all of it to everyone — we sell the parts that move your constraint.
Jenkins, GitHub Actions, GitLab CI and Azure DevOps pipelines with quality gates, artifact promotion and one-click rollback.
Terraform and Packer modules with remote state, drift detection and reproducible environments from dev through production.
Cluster design, Helm charts, GitOps with Argo CD or Flux, autoscaling, and cost-aware node strategy.
SAST and dependency scanning, secrets management, signed artifacts, policy-as-code and audit-ready release evidence.
Deployment metrics, DORA tracking, SLOs and alerting so delivery performance is measured, not guessed.
Incremental containerisation and pipeline migration for teams still releasing from scripts, shared drives or a single build server.
A two-week audit of your repositories, environments, build tooling and release ritual. You get a scored baseline against DORA metrics.
A target delivery architecture: branching model, environment topology, pipeline stages, promotion rules and rollback strategy.
We implement the pipelines and IaC modules alongside your team, in your repos, with documentation and runbooks as first-class deliverables.
Handover workshops, on-call runbooks and a 30-day hypercare window so the platform belongs to your engineers, not to us.
Chosen per engagement against your team's existing skills and constraints, never as a default.
The questions procurement and engineering ask us most often before an engagement starts.
It starts with a delivery audit covering source control, build tooling, environments, testing and release process. From there we design the target pipeline architecture and implement it with your team — CI/CD pipelines, infrastructure as code, container platform, secrets handling and observability — finishing with runbooks and a handover period so your engineers own it.
A single service typically moves to a fully automated pipeline in three to four weeks. A platform covering many services, multiple environments and compliance gates usually runs eight to sixteen weeks depending on how much of the estate is legacy.
Both. We have delivered pipelines that target on-premise data centres, public cloud and hybrid estates from the same promotion flow, which is a common requirement in regulated and telecom environments.
AWS, Microsoft Azure and Google Cloud. Our Terraform modules and Kubernetes patterns are written so the delivery model stays consistent even when the underlying provider differs.
Yes, and that is usually the cheaper answer. If Jenkins is already embedded, we modernise it rather than migrate for its own sake. We only recommend replacing tooling when the cost of keeping it clearly exceeds the cost of moving.
Against the four DORA metrics — deployment frequency, lead time for changes, change failure rate and time to restore service — measured before the engagement and tracked continuously afterwards.
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No sales engineer relay. You get a scoping conversation with the people who would actually deliver your devops services engagement.