Infrastructure that thinks ahead

ALL SYSTEMS OPERATIONAL·last deploy 2m ago·uptime 99.98%

The Operating Layer for Modern Infrastructure.

opnetz designs, automates, and migrates cloud infrastructure for engineering teams who can't afford downtime. Kubernetes-native. Zero-trust by default. Observable at every layer.

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Cloud partners

AWS Advanced Tier

Consulting Partner

Google Cloud

Premier Partner

Microsoft Azure

Solutions Partner

CNCF

Member

Compliance

SOC 2 Type IIISO 27001HIPAAPCI-DSS

The challenge

Legacy infrastructure is a liability, not an asset.

Most organizations are running infrastructure designed for a different era.

Monoliths. Manual deploys. Ops teams paged at 3 AM for problems that should have been caught in CI.

Tightly coupled. Manually operated. Invisible when it breaks.

No observability. No automation. No way to move fast without breaking something critical.

You need infrastructure that's modular, automated, and observable end-to-end.

That's what we build. Platform engineering that compounds — every deploy gets safer, faster, cheaper.

What we build

End-to-end platform engineering.
Every layer covered.

Platform Engineering

EKS, GKE, AKS cluster design. GitOps with ArgoCD. Multi-cluster federation. Cluster API automation for self-service provisioning.

Application Modernization

Strangler fig migrations. Containerization of legacy Java, .NET, Python. Service decomposition. Phased cutovers with zero downtime.

Zero-Trust Networking

Istio service mesh. mTLS everywhere. Cilium eBPF network policy. Network segmentation audits.

Observability

OpenTelemetry instrumentation. Prometheus + Thanos long-term storage. Grafana dashboards. SLO and error-budget tracking.

Infrastructure as Code

Terraform module library. Crossplane for cloud-native IaC. Drift detection. Policy-as-code with OPA and Kyverno.

CI/CD Acceleration

GitHub Actions. Tekton pipelines. SLSA supply chain security. Artifact signing. Deployment frequency benchmarking.

AI-Powered

AI that makes your infrastructure
smarter, not just faster.

We integrate machine learning directly into your operations layer — from predictive scaling to automated incident response. Not bolted-on AI. Infrastructure-native intelligence.

AI-Driven Incident Response

ML models trained on your telemetry predict failures before they page. Auto-generated runbooks cut MTTR by 60%.

how → Anomaly detection on Prometheus/OTel streams; runbook drafts generated from your incident history.

Intelligent Auto-Scaling

Predictive scaling powered by traffic pattern analysis. No more over-provisioning or surprise 3 AM load spikes.

how → Time-series forecasting on request rates drives scheduled pre-scale; HPA covers the residual spikes.

AI-Assisted IaC Generation

Describe your architecture in plain English. Get production-grade Terraform modules with security best practices baked in.

how → LLM generation constrained by your module library and policy-as-code rules — output ships as a reviewable PR.

Automated Security Posture

AI continuously scans your clusters for misconfigurations, CVEs, and drift. Remediations suggested and auto-applied.

how → Admission-time policy checks plus continuous CVE scanning; low-risk fixes auto-PR, the rest get triaged tickets.

Cost Optimization Engine

ML analysis of resource utilization patterns. Right-size recommendations and spot instance strategies that save 40%+ on cloud spend.

how → Utilization clustering over 30-day windows yields right-size PRs; spot orchestration with fallback pools.

Smart Pipeline Orchestration

AI determines optimal test ordering, parallelization, and deployment windows based on historical failure data and risk scoring.

how → Failure-history risk scores reorder test shards; deploy windows picked from incident-rate baselines.

How we're different

Not a consultancy.
Not a reseller.

opnetz

Platform engineering partner

Traditional consultancy

Body-shop / staff aug

Hyperscaler PSO

AWS / GCP / Azure pro-services

Cloud-agnostic by design

Outcome-based engagements

Deploys with you, not for you

AI-ops native (not bolt-on)

24×7 SRE post-handoff

Open-source first

partial

Fixed-cost migrations

How it works

Five phases. One continuous delivery.

Every engagement follows the same battle-tested playbook — adapted to your stack, your team, your timeline.

Assess

Infrastructure audit, dependency mapping, risk scoring.

Weeks 1–2

Architecture audit
Cost baseline
Migration risk map

EXIT →Sequenced roadmap your team signs off on

Architect

Target-state design, ADRs, platform blueprint.

Weeks 2–4

Target-state design
ADR set
Platform blueprint

EXIT →Design review passed with your senior engineers

Automate

IaC scaffolding, CI/CD pipelines, GitOps workflow.

Weeks 4–8

IaC modules
CI/CD pipelines
GitOps delivery

EXIT →First service deployed end-to-end via the new path

Migrate

Phased workload migration, zero-downtime cutovers.

Weeks 8–14

Phased cutovers
Shadow-traffic parity checks
Rollback gates

EXIT →All workloads cut over, zero unplanned downtime

Operate

SRE runbooks, alert tuning, on-call optimization.

Ongoing

Runbooks
SLOs + alert tuning
On-call enablement

EXIT →Your team runs it — we stay on retainer or hand off

Engagement model

Three phases.
Outcomes at every step.

$ discover

Discover

2 weeks

Architecture audit
SLO + cost baseline
Migration roadmap

OUT →Tech debt heatmap + 90-day plan

$ build

Build

6–12 weeks

Platform reference implementation
CI/CD pipelines
Observability stack

OUT →Production-grade platform

$ operate

Operate

Ongoing

24×7 SRE on call
Continuous optimization
Quarterly reviews

OUT →Compounding reliability

Team shape

2–3 platform engineers + an architect, embedded in your repos

Pricing

Discovery is fixed-price. Build and Operate are monthly retainers

Commitment

No long lock-ins — Operate renews quarterly, cancel with 30 days notice

By the numbers

0.00%

average uptime across managed clusters

reduction in deploy lead time

0×

faster incident MTTR post-migration

production workloads migrated to cloud-native

Aggregated across 23 production engagements, 2021–2026. Uptime is trailing-12-month across managed clusters.

Kubernetes

AWS

Azure

Terraform

GitHub

Datadog

Docker

Prometheus

Case studies

Production outcomes,
not slide decks.

Read the case studies

FinTechOnyx Trading

opnetz didn't just hand us a platform. They handed us a team that already shipped on it for twelve weeks. That's the difference.

Maya KrishnanVP Engineering · Onyx Trading

Common questions

Answers, not
sales theater.

Consulting firms send people; we ship platforms. Every engagement produces a working production system you own — Terraform, manifests, runbooks, dashboards — not a deck and a stack of recommendations. Our team writes code in your repo from week one.

Ready to modernize your stack?

Talk to an infrastructure engineer — not a sales rep.

Let's talk infrastructure.

+91-84278-55539

info@opnetz.com

www.opnetz.com

India · Global Delivery

Response time: < 4 hours
(on business days, IST)

From the team

What we're writing about right now.

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Playbook

The Operating Layer for Modern Infrastructure.

Legacy infrastructure is a liability, not an asset.

Most organizations are running infrastructure designed for a different era.

Tightly coupled. Manually operated. Invisible when it breaks.

You need infrastructure that's modular, automated, and observable end-to-end.