Ludo King
Deploys Have Become a Bottleneck
99.99% Reduction in user drop-offs
When release cadence limits how fast the business can move, the pipeline is the constraint, not the roadmap.
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.
The bottleneck usually isn't your developers. It's everything between a merged pull request and a customer using the feature.
Releases still depend on people, checklists and a change window.
Simple changes take days to reach production.
What works in staging doesn't always work in production.
Your team keeps doing the same operational tasks by hand.
When something breaks, finding the cause takes longer than fixing it.
Checks happen late in the release cycle, so findings block the release instead of the pull request.
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.
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.
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.
Observability, automated alerting, and rehearsed rollback cut recovery time from hours to minutes when something does break.
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.
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.
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.
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.
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.
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.
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.
From commit to production, fully automated — CodePipeline, GitHub Actions, GitLab CI, Jenkins, ArgoCD
Every environment versioned and reproducible — Terraform, AWS CDK, CloudFormation
Orchestration without the operational chaos — EKS, Docker, Helm, Karpenter
See incidents before your customers do — CloudWatch, distributed tracing, unified logs, metrics, and traces
Security inside the pipeline, not after it — SAST, SCA, DAST, secrets management, policy as code
Right-sized infrastructure, on autopilot — cost tagging, rightsizing, spend dashboards
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.
Ludo King
99.99% Reduction in user drop-offs
When release cadence limits how fast the business can move, the pipeline is the constraint, not the roadmap.
63 Moons
Faster More reliable releases
A pattern of severe incidents traced back to manual change is a clear signal that delivery needs automation and guardrails.
"Managing daily releases of 20+ micro services across different environments has never been a breeze. Thanks to team Flentas for helping us implement automatic release pipelines on cloud."
Gaming Platform
100+ Microservices standardized
Containers and microservices multiply operational complexity. They call for automation, not longer manual runbooks.
Stick Pool Club
40% Cost savings
Moving to the cloud without automation just recreates old habits on new infrastructure. Build the pipeline as you land.
Fintech
Weeks → Minutes
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
5x
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%
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.
Ketto
“A phased approach to continuous delivery is not only preferable; it's infinitely more manageable, and working with Flentas has made this possible for us.”
Zaheer AdenwalaCTOKetto
One engagement is one stage. Here is what usually comes before and after, so the next step is always clear.
Around-the-clock operations that keep the estate stable while the plan matures.
Explore Agentic Cloud OperationsMake every release a routine, low-risk event.
Wire security checks into the pipeline you just automated.
Explore DevSecOps & AutomationTurn a rising bill into a managed, forecastable line item.
Explore Cloud Cost Optimization (FinOps)We'll assess your current delivery process, identify the biggest bottlenecks and show you where automation can make the biggest difference.