Cloud for startups & SaaS in India Cloud infrastructure for SaaS companies. From first credits to enterprise scale.
We help SaaS founders and engineering leaders launch on a production-ready foundation, make cloud credits last, protect gross margin as usage grows, and meet the security and reliability standards that enterprise customers expect.
DevOps TechLab helps startups and SaaS companies in India launch on a production-ready cloud, make cloud credits last, and protect gross margin as usage grows. We have helped 70+ startups with cloud credits.
ISO 27001 · SOC 2 · Working with companies across India and abroad from Ahmedabad, in IST
Growth stages
The right platform for every stage.
What a SaaS company needs from its cloud changes at each stage of growth. We put the right foundations in place at the right time, and no earlier.
- Pre-seed to seed
MVP
Ship fast without building debt
- Secure multi-account landing zone
- CI/CD pipelines and preview environments
- Startup credit applications
- Budget alerts from the first dollar
- Seed to Series A
Product-market fit
Keep the platform stable as customers arrive
- Monitoring, alerting and on-call
- Automated backups with tested restores
- Cost per customer visibility
- Security baseline aligned to ISO 27001 and SOC 2
- Series A to B
Scale
Grow usage faster than the bill
- Autoscaling, caching and database tuning
- Savings plans and right-sizing
- Multi-region and disaster recovery
- Monthly FinOps reviews
- Series B and beyond
Enterprise-ready
Win and keep enterprise customers
- Evidence for customer security reviews
- SSO, audit logs and data residency options
- Uptime targets backed by tested DR
- Managed operations with defined escalation
Challenges
Where SaaS platforms come under pressure.
Six challenges we see across early-stage startups, scale-ups and enterprise SaaS providers, and how we address each one.
- StartupThe credits cliff
Credits cover the first year; then the full bill arrives on an architecture that was never designed for cost.
Credit planning and cost-aware architecture - SMBEnterpriseCloud cost erodes gross margin
Infrastructure spend grows faster than revenue, and no one can say what each customer costs to serve.
Cost per customer and FinOps reviews - SMBEnterpriseEnterprise deals stall on security
Procurement asks for SOC 2, ISO 27001, SSO and data residency before it will sign.
Audit-ready controls and evidence - SMBEnterpriseUptime commitments without the tooling
Customers expect contractual uptime, but there is no tested recovery plan or on-call rota.
Monitoring, on-call and tested DR - StartupSMBNo dedicated DevOps team
Product engineers carry infrastructure, releases and incidents on top of the roadmap.
Managed or co-managed operations - StartupSMBEnterpriseAI features with unpredictable cost
Generative AI features ship quickly, while usage costs, data handling and guardrails are left for later.
Governed GenAI architecture and cost controls
Cloud credits
Make your credits go further.
Startup programmes from AWS, Google Cloud and Microsoft can fund your first year in the cloud. We help you qualify, apply and build so the credits last.
We identify the programmes you qualify for, prepare the application and design your architecture so credits last.
Moving an existing workload to AWS? DevOps TechLab is approved to run AWS MAP-funded migrations.
AWSAWS ActivateCredits, technical support and training for eligible startups building on AWS.
Our AWS credentials →
Google CloudGoogle for Startups Cloud ProgramCredits and support for eligible startups building on Google Cloud.
Our Google credentials →- Microsoft AzureMicrosoft for Startups
Azure credits and development tools for eligible early-stage companies.
Our Microsoft credentials →
Eligibility, amounts and terms are set by each cloud provider and change over time. We check what you qualify for and help you apply.
Unit economics
Protect gross margin as you grow.
Cloud is usually the largest cost of serving a SaaS customer. We make it visible per customer and keep it in proportion to revenue.
Right-sizing
Match instance and database sizes to real usage.
Savings plans and reservations
Commit to steady baseline usage at lower rates.
Autoscaling
Scale with traffic instead of provisioning for peaks.
Scheduled environments
Switch off development and staging outside working hours.
Storage tiering
Move older data to lower-cost storage classes.
Cost per tenant tagging
Attribute spend to customers and plans to protect pricing.
Reference architecture
A production-ready SaaS platform.
Six layers we design, build and document for every SaaS platform, defined as code and owned by you.
- Edge
CDN, web application firewall and DNS, so customers get fast, protected access.
Layer 01 - Application
Containers or serverless with autoscaling, released through CI/CD.
Layer 02 - Data
Managed databases with replicas, encryption and automated backups.
Layer 03 - Identity and tenancy
SSO for your team, tenant isolation and audit logs for your customers.
Layer 04 - Observability
Logs, metrics, traces and alerts routed to on-call.
Layer 05 - Platform
Infrastructure as code, secrets management and cost tagging.
Layer 06
Designed on AWS, Azure or Google Cloud, and defined as code so you own it.
Enterprise readiness
Ready for your first enterprise customer.
Enterprise buyers ask the same questions in every security review. We help you answer them with controls and evidence.
- Security controls aligned to SOC 2 and ISO 27001Access, change, logging and incident controls your auditor and customers will test.
- Single sign-on for your customersSAML and OIDC sign-in, with role-based access inside your product.
- Audit logsWho did what, and when, available to enterprise admins.
- Data residencyHosting in the regions your customers require, such as India, the EU or the US.
- Encryption and key managementData encrypted at rest and in transit, with keys under your control.
- Tested disaster recoveryRecovery targets defined, tested and documented.
- Security questionnaire supportAccurate, evidence-backed answers for vendor risk reviews.
We hold both ourselves, and we know what auditors and enterprise buyers look for.
Reliability
Uptime your customers can rely on.
Monitoring, on-call, tested recovery and clear communication when something goes wrong.
All systems operational
- Web applicationOperational
- APIOperational
- Background jobsOperational
- DatabaseOperational
- AuthenticationOperational
- Monitoring and alerting on every service
- On-call engineers with written runbooks
- Backups with scheduled restore tests
- Disaster recovery tested against agreed targets
- Post-incident reviews for every major event
Generative AI
Ship AI features with costs under control.
From model selection to production monitoring, we help SaaS teams launch generative AI features that are safe, measurable and affordable.
AWS Generative AI Competency held by DevOps TechLab
Model selection
Choose the right model for each feature, balancing quality, latency and cost.
Your data, retrieved safely
Retrieval over your own content, with customer data kept in your account and region.
Guardrails and evaluation
Content filters, prompt testing and evaluation before features reach customers.
Cost controls
Usage budgets, caching and model routing so AI costs track revenue.
Monitoring
Quality, latency and spend tracked per feature and per customer.
From prototype to production
Infrastructure as code, CI/CD and rollback for AI features too.
Clients
Trusted by growing SaaS teams.
Startups and product companies run their cloud with DevOps TechLab.
Engagement models
Grow into the right model.
Start with a fixed-scope launch, add co-managed operations as you scale, and move to fully managed when enterprise customers arrive.
Launch
A fixed-scope project: landing zone, CI/CD, monitoring, backups and credit applications, handed over with documentation.
- Defined scope and timeline
- Everything defined as code
Scale
Co-managed operations: your engineers ship features while we cover on-call, cost reviews and reliability work.
- Monthly FinOps review
- On-call cover for your platform
Enterprise
Fully managed operations with security evidence, disaster recovery testing and support for customer reviews.
- Evidence for customer audits
- Managed operations end to end
FAQ
Questions from founders and CTOs.
- Can you help us secure cloud credits?
- Yes. We have helped more than 70 startups with cloud credits. We check which AWS, Google Cloud and Microsoft programmes you qualify for and help you apply.
- Do we have to use AWS?
- No. We design and operate on AWS, Microsoft Azure and Google Cloud, and recommend the platform that suits your product and credits.
- We have no DevOps engineer. Can you act as our team?
- Yes. Many startups use us as their platform team, either fully managed or alongside one or two in-house engineers.
- Will we own everything you build?
- Yes. Everything runs in your accounts, is defined as code in your repositories and comes with documentation and runbooks.
- Can you help us prepare for SOC 2 or ISO 27001?
- Yes. DevOps TechLab holds ISO 27001 certification and a SOC 2 report. We implement aligned controls and evidence; your certification is issued by your auditor.
- Can you bill in INR?
- Yes. For companies in India we can bill cloud usage and licences in INR on a GST invoice.
Keep exploring
For startups and SaaS teams
- GuideAWS credits for startups in IndiaWho qualifies for AWS Activate and how to make the credits last.
- Case studySaaS DevOps team augmentationFour cloud and DevOps engineers as an extension of a SaaS team.
- ServiceCloud cost optimization servicesWaste removed and kept out; Savings Plans bought only where they pay.
- GuideAWS MAP and cloud migration fundingWhat AWS, Microsoft and Google pay for, and how to qualify.
- PartnerAWS partner in IndiaAdvanced Tier Services Partner with SMB and Generative AI Competencies.
Talk to an engineer
Start with a 20-minute review. Leave with a plan.
An engineer looks at your current setup, points out what’s costing you money or risk, and tells you what we’d fix first. No sales deck, no obligation to go ahead.
Every month you wait, the bill grows, the audit gets harder and the AI project waits another quarter.