Manage & Optimize

DevOps and Automation Services That Make Every Release Routine

Right now every deployment is a manual, high-stakes event, and your best engineers lose their week to firefighting instead of building product. Flentas builds automated, tested, and reversible pipelines so your team ships every day with confidence.

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The Reality

What's Making Releases Harder Than They Should Be

The bottleneck usually isn't your developers. It's everything between a merged pull request and a customer using the feature.

Manual deployments

Releases still depend on people, checklists and a change window.

Slow release cycles

Simple changes take days to reach production.

Environment differences

What works in staging doesn't always work in production.

Repetitive engineering work

Your team keeps doing the same operational tasks by hand.

Hard-to-trace issues

When something breaks, finding the cause takes longer than fixing it.

Security as an afterthought

Checks happen late in the release cycle, so findings block the release instead of the pull request.

Key Benefits

Slow, Manual Delivery Is a Tax on Every Release You Ship

The bottleneck usually isn't your developers. It is everything that happens between a merged pull request and a customer using the feature. DevOps automation removes that friction so speed and stability stop competing.

Ship Faster and Safer

Automated CI/CD pipelines move code from commit to production in minutes instead of weeks. Tests, approvals, and rollback are built into every step, so speed never costs you stability.

Infrastructure as Code

Every environment is versioned, peer reviewed, and reproducible. Snowflake servers and the classic 'it works on staging but not in production' problem simply go away.

Fewer Incidents, Faster Recovery

Observability, automated alerting, and rehearsed rollback cut recovery time from hours to minutes when something does break.

Security Built Into the Pipeline

Vulnerability scans, policy checks, and secrets management run on every commit. You catch issues at build time instead of during the audit six weeks later.

Proof Points

Proof That Automation Changes the Equation

200+CI/CD pipelines delivered

90%Faster deployment cycles

500+Workloads managed as code

How It Works

Our DevOps Delivery Model: The Flentas 5A Framework

Good DevOps is not a tool you buy. It is a system you build. The 5A Framework is a repeatable methodology refined across more than 200 automation engagements, built to deliver working pipelines rather than a maturity slide deck.

1
Assess: Baseline Your Delivery Reality
We measure what happens today — deployment frequency, lead time, change failure rate, and recovery time. A value stream map exposes every manual handoff, so improvement targets are grounded in data rather than opinion.
2
Architect: Design the Platform and Pipeline
We design your target-state delivery platform — branching and release strategy, CI/CD topology, environment model, and the guardrails every team inherits. The output is a working blueprint with pipeline-as-code and IaC standards.
3
Automate: Codify Everything
Infrastructure becomes Terraform. Deployments become pipelines. Configuration, secrets, and policy become version-controlled code. Manual runbooks and click-ops give way to automation that is tested, peer reviewed, and reproducible.
4
Accelerate: Ship Faster With Guardrails
With the platform in place, we turn on velocity safely using blue/green and canary deployments, automated testing gates, and self-service environments. Developers ship without waiting on a central team.
5
Assure: Observe, Secure, and Sustain
Full-stack observability, automated alerting, DevSecOps scanning, and FinOps governance keep the platform reliable, secure, and cost aware. We hand ownership to your team so the capability outlives the engagement.

Technology Stack

Technologies & Tools We Use

CI/CD Pipeline Engineering

From commit to production, fully automated — CodePipeline, GitHub Actions, GitLab CI, Jenkins, ArgoCD

Infrastructure as Code

Every environment versioned and reproducible — Terraform, AWS CDK, CloudFormation

Kubernetes & Container Platforms

Orchestration without the operational chaos — EKS, Docker, Helm, Karpenter

Observability & Monitoring

See incidents before your customers do — CloudWatch, distributed tracing, unified logs, metrics, and traces

DevSecOps Integration

Security inside the pipeline, not after it — SAST, SCA, DAST, secrets management, policy as code

FinOps and Cost Automation

Right-sized infrastructure, on autopilot — cost tagging, rightsizing, spend dashboards

Delivery Accelerator · ChangeSafe

Know What a Change Will Break Before It Ships

ChangeSafe AI maps your codebase into a live dependency graph, so every release, refactor and security fix is reviewed against what it actually touches, before it reaches production.

Explore ChangeSafe AI

Case Studies

Where DevOps & Automation Makes a Difference

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Deploys Have Become a Bottleneck

When release cadence limits how fast the business can move, the pipeline is the constraint, not the roadmap.

Ludo King

99.99%Reduction in user drop-offs

Ludo King built a fully managed CI/CD pipeline on AWS CodePipeline, CodeBuild and CodeDeploy for its mobile gaming backend, enabling faster release cycles and reducing user drop-offs by 99.99%.

Repeated Production Incidents

A pattern of severe incidents traced back to manual change is a clear signal that delivery needs automation and guardrails.

63 Moons

FasterMore reliable releases

63 Moons moved from monolithic to microservices on AWS, automating its release pipeline end to end with Jenkins, GitLab and CloudFormation, cutting manual errors and increasing release frequency across its digital marketplace platform.

Adopting Containers or Kubernetes

Containers and microservices multiply operational complexity. They call for automation, not longer manual runbooks.

Gaming Platform

100+Microservices standardized

A gaming platform standardized 100+ microservices under automated GitOps deployment, redesigning secrets management into a highly available architecture without a single point of failure.

Cloud Migration or Modernization

Moving to the cloud without automation just recreates old habits on new infrastructure. Build the pipeline as you land.

Stick Pool Club

40%Cost savings

Stick Pool Club migrated its real-money gaming app to AWS with a blue-green deployment pipeline, cutting CDN costs by over 40% year on year while enabling faster releases, quick rollbacks and 24/7 infrastructure monitoring.

Fintech

Weeks → MinutesManual Release Cycle Automated

A regulated lender replaced a three-week manual release process with automated CI/CD pipelines and infrastructure as code. The team now ships multiple times a day with full audit trails and one-click rollback.

Gaming

5xRelease Frequency

A high-traffic mobile gaming platform moved to containerized, GitOps-driven delivery on Kubernetes — deploying five times more often with no player-facing downtime during cutovers.

SaaS

60%Fewer Production Incidents

A B2B SaaS provider added full-stack observability and automated testing gates. Production incidents fell by more than half, and recovery time dropped from hours to minutes.

“We had a great platform team and a terrible delivery process — five services, four different ways to deploy them, and one person who knew all four. Flentas didn't replace our engineers, they gave them a golden path: one pipeline pattern, infrastructure as code, security scans on every commit. Three months later we're deploying five times a day and nobody's holding the release together from memory anymore.”

VP of Platform EngineeringB2B SaaS Provider, India

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What's Next

Where This Fits in Your Journey

One engagement is one stage. Here is what usually comes before and after, so the next step is always clear.

Before

Agentic Cloud Operations

Around-the-clock operations that keep the estate stable while the plan matures.

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