We piloted OrbOps AI on a hybrid setup: GCP (GKE) + on-prem K8s, GitHub Actions for CI, and Terraform (remote state in GCS). Setup was a few clicks—connect GitHub, grant read-only cloud access, point to clusters. In ~15 minutes it understood our repos and opened PRs with Docker/K8s/Terraform updates. First staging deploy landed in under 45 minutes.
The big unlock was the propose-first, human-in-the-loop flow—approvals show diffs, policy context, and risk so our lead can approve in seconds. OrbOps didn’t try to replace our stack; it acted like an agentic control plane around it.
On the FinOps side, cost signals showed up before merges: it identified an oversized GKE node pool, suggested rightsizing, and nudged us to run a batch job on spot/preemptible capacity. It also TTL’d idle preview environments, which we usually forget to clean up. We liked the “cost delta per PR” summary and the option to block risky cost jumps via policy.
The AI insights were useful, not noisy: it flagged a flaky test, suggested adding readiness probes, recommended a small memory limit bump before rollout, and proposed a canary instead of an all-at-once deploy—came with a ready rollback plan.
Verdict: less orchestration toil, safer rollouts, and immediate cost hygiene—without changing our tools. We’re expanding the pilot to more services
OrbOps is an Agentic AI DevOps platform that learns your stack and orchestrates operations with human-in-the-loop guardrails Leads you towards NoOps. In a few clicks, go from request to release: infra in minutes (not weeks), approvals in seconds, and repo→prod ≤60 minutes—across AWS, GCP, Kubernetes, or on-prem—without changing your toolchain.
At the core is O2 Shipper, our deployment agent that analyzes your code and auto-generates Dockerfile/K8s configs/Terraform/Serverless Configs/Helm/Security Gaps/QA Tests to ship safely and fast. Pair that with Intelligent CI/CD, FinOps insights, and Security & Compliance guardrails embedded in every pipeline. Bring everything you already use—OrbOps adapts to your toolchain.
What you can do (today)
🚀 Repo → prod ≤10m with O2 Shipper (multi-cloud & on-prem)
⚙️ Few-click onboarding; zero rewrites—no toolchain swap
🧭 Auto-discovery Agent (manage what you already run with AI Insights & Recommendations)
🧪 AI Powered Intelligent CI/CD (build analysis → smart tests → progressive deploy)
🔐 Access approvals in seconds (human-approved guardrails )
💸 AI FinOps + Security posture baked into every release & Adhere Compliances like SOC2/ISO
Who it’s for
Platform/DevOps/SRE teams, regulated startups (fintech/healthcare), and scale-ups that need speed without losing cost control or compliance.
Why it matters
Teams drown in tool sprawl and manual gates. OrbOps compresses toil into outcomes—so you can ship more with 2 engineers, not 10.
@Orbops AI Congratulations team. Need of the hour
Kudos to everyone !!!!!!!
@rajendra_singh17 🙏 Thank you! Means a lot.
Question 1) How its handing security compliance, suppose we want to patch our ec2 with meta or wants to enable encryption on ebs?
Questions 2) Can user change its backend to store data on self manages clouds?
@arpit_tyagi4 Thanks for the thoughtful questions—here’s how we handle security/compliance and data control 👇
Security & compliance
EC2 patching: Integrates with AWS Systems Manager Patch Manager. We propose patch baselines & maintenance windows, run AWS-RunPatchBaseline, and record a signed audit trail. You approve (or set auto-approve by risk).
Hardening/guardrails: Enforce IMDSv2, CIS checks, SG/IAM reviews, plus runtime health gates before promotion.
EBS encryption: Encryption-by-default with your KMS; block unencrypted creates and flag existing unencrypted volumes. For legacy, we propose snapshot → encrypted copy → swap during a maintenance window, with rollback if any check fails. Everything is propose-first with approvals.
Backend / storing data on self-managed clouds
Your infra data: Keep Terraform state in Terraform Cloud or your own S3/GCS/Azure backend—OrbOps reads via agents and doesn’t take ownership.
Platform data: Region pinning, export audits/logs to your SIEM (Splunk/Datadog/Elastic), and self-host/VPC deployment so data stays within your boundary. Secrets via Vault / AWS SM / GCP SM / Azure KV.
Want to see this live on a sample service (Patch Manager + EBS-by-default) and ship to staging in ≤10 minutes?
👉 Join the private beta: https://www.orbops.ai/#:~:text=Start%20Free-,Beta
@orbops Does Orbops Support Azure as well?
@lalit15 Yes we do support Azure as well
Really love the idea behind this. Deployments usually feel like a headache, but OrbOps makes it sound easy and even exciting.
Can’t wait to see how this grows!
Most DevOps teams spend weeks setting up infrastructure, debugging pipelines, and managing cloud costs. With OrbOps AI, we’re turning that into minutes.. Curious to hear how others are tackling these pain points!
Solving real issue faced by developers. Ease of doing business for the developers !! enabling organisations to deliver business value faster.
@vibhor_sharma10 Love this—thank you! That’s exactly what we’re aiming for: make developers’ lives easier so orgs ship real value faster.
Got a dev task you’d love to “autopilot”? Tell us and we’ll show the exact steps.
👉 Join the private beta to see it live: https://www.orbops.ai/#:~:text=Start%20Free-,Beta