Ship faster. Scale smarter.
Spend less on cloud.
Kubernetes-native infrastructure, production-grade CI/CD pipelines, containerised workloads, and relentless FinOps — so your teams ship confidently and your cloud bill reflects your architecture choices, not vendor defaults.
Everything your cloud team needs.
From one engineering partner.
We cover the full cloud-native stack — so you're not coordinating five vendors to ship one feature.
Cloud Strategy & Migration
Business-aligned cloud roadmap, TCO & ROI modelling, 6R migration framework (Rehost → Refactor → Re-architect), validated runbooks with blue-green cutover and rollback procedures.
Kubernetes Orchestration
Full-lifecycle K8s cluster engineering — EKS, GKE, AKS provisioning, Helm chart authoring, Horizontal Pod Autoscaling (HPA), Cluster Autoscaler, Istio service mesh, RBAC and network policies.
Docker & Containerisation
Multi-stage Dockerfile authoring for minimal attack surface and build size, private registry management (ECR, GCR, ACR), container vulnerability scanning with Trivy, and compose-to-K8s migration paths.
CI/CD Pipeline Engineering
We design and build automated delivery pipelines that take code from a developer's branch to production in minutes — not days. Every pipeline includes automated unit/integration tests, SAST/DAST security scans, Docker image build & push, Helm rollout to staging and production clusters, and Slack/PagerDuty deployment notifications. We engineer for canary and blue-green deployment strategies, giving teams instant rollback capability within 60 seconds of a failed health check.
Infrastructure as Code
Environment parity and repeatability using Terraform, Ansible, and Pulumi — eliminating configuration drift between dev, staging, and production. Every resource versioned, peer-reviewed, and auditable.
Observability & SRE
Full-stack observability stack with Prometheus, Grafana, Loki, and OpenTelemetry tracing. SLO/SLI definition, PagerDuty on-call integration, MTTR reduction via automated runbook triggers.
DevSecOps
Security baked into every stage — HashiCorp Vault for secrets management, Open Policy Agent (OPA) for policy-as-code, Trivy image scanning, OWASP ZAP DAST, and SOC 2 / ISO 27001 compliance enforcement.
Multi-Cloud & Hybrid
AWS + Azure + GCP — architected for workload portability, compliance isolation, and cost arbitrage. Hybrid WAN integration with direct connections (AWS Direct Connect, Azure ExpressRoute, GCP Interconnect).
Kubernetes & Docker: production-hardened
Container orchestration is not just spinning up pods — it's reliability engineering, cost-aware resource management, and zero-downtime delivery at scale.
Kubernetes Capabilities We Deliver
We don't just deploy clusters — we harden them for production with proper resource governance, auto-scaling, and multi-tenancy isolation.
- Cluster provisioning on EKS, GKE, AKS using Terraform modules
- Helm chart authoring & Helm Operator GitOps patterns
- HPA (Horizontal Pod Autoscaler) & VPA (Vertical Pod Autoscaler)
- Cluster Autoscaler with Spot/Preemptible node pools for cost reduction
- Istio service mesh — mTLS, traffic splitting, circuit breakers
- Namespace RBAC, Network Policies, Pod Security Standards
- Argo CD GitOps continuous delivery with drift detection
- Karpenter node provisioning for peak-load elasticity
- Kubernetes cost visibility with KubeCost & OpenCost
Docker Containerisation Standards
- Multi-stage Dockerfiles reducing image size by 60–80%
- Distroless and Alpine base images for minimal attack surface
- Trivy CVE scanning integrated in every CI pipeline run
- Private registry management: ECR, GCR, ACR, Harbor
- Docker Compose → Helm migration for dev-prod parity
- Image signing with Cosign & policy enforcement via Kyverno
Traffic spike detected → Karpenter provisioning 2 new Spot nodes → HPA scaling pods from 2 → 8 in 45s.
From commit to production — under 8 minutes
We engineer pipelines that eliminate manual gates without sacrificing safety — so your developers ship multiple times a day with confidence.
Code Commit
Developer pushes to feature branch. PR opened against main.
GitHub / GitLabTest & SAST
Unit tests, integration tests, code coverage gates & static security analysis run in parallel.
Jest · Pytest · SonarQubeDocker Build & Scan
Multi-stage Docker build, Trivy CVE scan, image signed with Cosign.
Docker · Trivy · CosignStaging Deploy
Helm rollout to staging cluster. Smoke tests & DAST run against live environment.
Argo CD · OWASP ZAPCanary Production
5% canary rollout. Prometheus monitors error-rate & P99 latency. Auto-promote or rollback.
Istio · Prometheus · Argo RolloutsNotify & Audit
Slack deploy notification. JIRA ticket closed. Full audit trail in Vault & Git history.
Slack · Vault · JIRAHow Flexsys Technologies cuts cloud costs during heavy-load projects
Most cloud waste is not in idle resources — it's in over-provisioned compute, unoptimised storage tiers, and architectures that weren't designed with cost as a first-class concern. We fix that systematically.
Right-Sizing & Compute Optimisation
We analyse CloudWatch / Cloud Monitoring utilisation data across 14 days of peak load to identify over-provisioned EC2, GKE, or AKS node families. Switching from m5.4xlarge → m5.2xlarge with HPA achieves the same throughput at half the cost. For spiky batch workloads we migrate to Spot/Preemptible instances with Karpenter — typically reducing compute spend by 35–70%.
Spot & Reserved Instance Strategy
We model your workload predictability and build a purchasing strategy — 1-year or 3-year Reserved Instances / Savings Plans for baseline steady-state capacity, with On-Demand and Spot for burst. For Kubernetes clusters we use Karpenter node pools with mixed instance type policies so the scheduler always picks the cheapest available Spot node that meets pod resource requests.
Storage Tier & Data Transfer Optimisation
Most clients are paying GP2 EBS pricing for cold storage that should be on S3-IA or Glacier. We audit object lifecycle policies, implement S3 Intelligent-Tiering, migrate unattached EBS volumes, and terminate orphaned snapshots. We also geo-locate services to minimise cross-region data transfer — a silent budget killer at high-volume.
Real-Time Cost Observability
We deploy Grafana dashboards connected to AWS Cost Explorer / GCP Billing APIs — broken down by team, namespace, and service. Anomaly alerts fire in Slack when a service exceeds its daily budget. Teams see cost per deployment, cost per feature, and cost per transaction — not just a monthly invoice surprise.
Serverless & Event-Driven Offloading
For workloads that are truly asynchronous — image processing, email delivery, ML inference jobs — we migrate from always-on containers to Lambda / Cloud Functions / Cloud Run. A workload running 30 min/day costs a fraction of a 24/7 pod. We identify and migrate these candidates during our initial architecture review.
Automated Resource Scheduling
Non-production environments (dev, staging, QA) running 24/7 are pure waste. We implement automated start/stop schedules — dev clusters powered off from 8 PM to 8 AM and on weekends. Enforced via Lambda/Cloud Scheduler + OPA policy — saving 60–70% on non-prod cloud spend overnight.
Typical cost reduction breakdown per engagement
Combined savings potential: 30–55% reduction in total cloud spend within the first 90 days.
Security is not a sprint ticket. It's the pipeline itself.
We embed security controls at every layer of the stack — so vulnerabilities are caught before they reach production, not after.
Secrets Management
HashiCorp Vault with dynamic secret leases. No hardcoded credentials ever.
Policy as Code
Open Policy Agent (OPA) & Kyverno enforcing admission control on every K8s resource.
Image Scanning
Trivy CVE scanning in CI — build fails on CRITICAL severity. No exceptions.
IAM Least Privilege
Pod-level IRSA / Workload Identity. No wildcard IAM roles in production.
Network Policies
Kubernetes Network Policies + Istio mTLS. Zero implicit pod-to-pod trust.
DAST in Pipeline
OWASP ZAP dynamic scan against every staging deploy. CVEs blocked before promotion.
Compliance Auditing
SOC 2, ISO 27001, PCI-DSS aligned infrastructure. Audit trail in CloudTrail / GCP Audit Logs.
Image Signing
Cosign + Notary — only Flexsys Technologies-signed images are admitted to production clusters.
Platform-agnostic. Best-tool-for-job.
We recommend what's right for your workload — not what's easiest for us to sell.
Real cloud outcomes for real enterprises
Zero-Downtime AWS Migration for ₹500Cr/day Payment Gateway
Migrated a national payment gateway to AWS Multi-AZ with 99.97% uptime. Kubernetes HPA handled 3× peak traffic with zero manual intervention.
Read Case Study FinOps · Cost Optimisation42% Cloud Cost Reduction for a B2B SaaS Platform in 60 Days
Combined Spot migration, Reserved Instance planning, S3 lifecycle policies and non-prod scheduling cut monthly AWS spend from ₹14L to ₹8.2L with no SLA impact.
Read Case Study DevOps · MicroservicesMonolith → Kubernetes Microservices Refactor for B2B Platform
Broke a Rails monolith into 14 containerised microservices on GKE. Deployment frequency went from 2× per month to 20× per week. P99 latency dropped 60%.
Read Case Study