About DevOpsConsulting.in — Engineering Transformation Partner

We are a secure engineering transformation studio. Est. 2016. 60+ enterprise clients. 14 domains. Practitioner-led consulting, training, outsourcing, migration, and certifications. India + global delivery.

MISSION

Help organizations modernize software delivery, reliability, security, cloud operations, cost governance, data/AI operations, and platform engineering through practitioner-led consulting, hands-on training, managed outsourcing, migration execution, and certification programs — across all 14 engineering domains.

VISION

Become the trusted engineering transformation partner for teams moving from legacy IT operations to secure, automated, observable, AI-assisted, cloud-native operating models. Every engagement measurable. Every outcome owned. Every team enabled — not dependent.

OUR VALUES

Practitioner-Led

Every consultant, trainer, and support engineer operates production systems. We don't hire career consultants — we hire engineers who can teach, advise, and build.

Security by Default

TLS 1.3 on every channel. Zero-trust patterns in every architecture. Security is not the last step — it's the first principle.

Measurable Outcomes

We measure success in deployment frequency, MTTR, security posture scores, and cloud efficiency — not in slide decks delivered.

Knowledge Transfer

Every engagement includes knowledge transfer. We build your team's capability. You own the outcome. We don't create dependency.

Tool-Agnostic

We cover 60+ tools across 14 domains. We recommend what fits your context — not what we have a partnership agreement to sell.

India + Global

Based in India with international delivery capability. Multi-timezone. Remote-first. On-site when it matters.

2016
Established
60+
Enterprise Clients
200+
Certified Professionals
14
Engineering Domains

EXPERTISE ACROSS 14 DOMAINS

We don't dabble in DevOps and call it "full stack." We maintain deep, practitioner-verified expertise across every domain listed below — with dedicated consultants, trainers, certification paths, and support engineers for each.

DevOps

End-to-end CI/CD pipeline design, infrastructure as code, automated testing, release orchestration, and continuous delivery.

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SRE

Service level objectives, error budgets, incident management, reliability engineering, chaos engineering, and production excellence.

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DevSecOps

Security integration into CI/CD pipelines, automated security testing, vulnerability management, compliance as code, and zero-trust architectures.

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CloudOps

Multi-cloud operations across AWS, Azure, and GCP. Cloud infrastructure management, cost optimization, migration, and cloud-native operations.

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Platform Eng.

Internal developer platforms, Backstage, self-service infrastructure, golden path templates, and developer experience optimization.

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GitOps

Git-based operations with ArgoCD and Flux. Declarative infrastructure, drift detection, automated reconciliation, and pull-request-driven deployments.

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FinOps

Cloud financial operations, cost allocation, resource tagging strategies, reserved instance planning, and engineering-driven cost governance.

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DataOps

Data pipeline automation, data quality monitoring, data infrastructure as code, and agile data engineering practices for analytics and ML.

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AIOps

AI-driven IT operations, anomaly detection, predictive analytics, automated incident response, and intelligent observability at scale.

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MLOps

ML model lifecycle management, feature stores, model registries, training pipeline automation, model monitoring, and A/B testing infrastructure.

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LLMOps

LLM deployment and operations, prompt engineering pipelines, RAG architecture, LLM observability, guardrails, and cost-optimized inference.

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SecOps

Security operations center design, SIEM/SOAR, threat detection and response, security monitoring, and incident handling automation.

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ITOps

IT operations modernization, infrastructure monitoring, service desk automation, asset management, and operational analytics.

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SysOps

System operations, server administration, patch management, system hardening, backup and disaster recovery, and capacity planning.

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HOW WE DELIVER

Seven integrated capabilities. Every one led by practitioners who have built and operated these systems in production at enterprise scale.

PRACTITIONER-LED. ALWAYS.

The consulting industry has a problem: firms staff engagements with junior analysts who've never configured a production Kubernetes cluster or debugged a pipeline failure at 3am. That's not us.

Every consultant, trainer, and support engineer at DevOpsConsulting.in has built and operated production systems. Our team has designed CI/CD pipelines processing 10,000+ builds per day, managed Kubernetes clusters spanning 5,000+ nodes, migrated monoliths to microservices without downtime, and built internal developer platforms serving 2,000+ engineers.

When you engage us for a consulting project, the engineer who assesses your architecture is the same person who would configure the toolchain — because they've done it before, at scale, in production. When you enroll in our training, your instructor has solved the problems they're teaching — not just read about them in a certification guide.

This is not a marketing claim. It's our operating model. We hire engineers, not career consultants. We invest in keeping their production skills sharp through active engagement work. And we measure our success by your outcomes — deployment frequency, mean time to recovery, security posture scores, cloud cost efficiency — not by billable hours logged or slide decks delivered.

SECURITY. RELIABILITY. AUTOMATION.

Security

Every pipeline we design includes automated SAST, DAST, SCA, container scanning, and secrets detection. Zero-trust architecture patterns. Compliance evidence generated from pipeline metadata — not manual evidence collection. TLS 1.3 on every communication channel. ISO 27001-aligned processes.

  • Shift-left security
  • Zero-trust architecture
  • Compliance as code
  • Supply chain integrity

Reliability

We design for 99.9%+ availability with defined SLOs, error budgets, and automated incident response. Chaos engineering. Blast radius containment. Graceful degradation patterns. Every system we build includes observability from day one.

  • SLO/SLI-driven operations
  • Automated incident response
  • Chaos engineering
  • Observability by default

Automation

Everything that repeats gets automated. Deployments. Scaling. Patching. Compliance checks. Incident response runbooks. We target 90%+ automation coverage in every engagement — measured against your baseline during the assessment phase.

  • CI/CD pipeline automation
  • Infrastructure as Code
  • Policy as Code
  • Self-healing systems

BUSINESS OUTCOMES, NOT VANITY METRICS

We don't measure our success by the number of containers you're running or how many Terraform modules you have. We measure it by what matters to your business.

Deployment Frequency

Before
Quarterly
After
12/day

Features reach users 270× faster

Mean Time to Recovery

Before
4 hours
After
11 minutes

22× faster incident resolution

Security Posture

Before
Reactive scans
After
Pipeline-integrated

Vulnerabilities caught before production

Cloud Cost Efficiency

Before
Unmanaged
After
30–40% reduction

₹1Cr+ annual savings at enterprise scale

Change Failure Rate

Before
30%+
After
< 5%

Fewer rollbacks, more confidence

Lead Time for Changes

Before
3 weeks
After
< 1 hour

From idea to production in minutes

WHERE TO NEXT

READY TO TRANSFORM YOUR ENGINEERING ORGANIZATION?

Start with a 3-minute maturity assessment. Confidential. No obligation.

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