Customer Outcomes

Cloud-Native Case Studies & Success Stories

Discover how platform teams partner with KubeAce to modernize Kubernetes estates, deliver LiveKit-powered experiences, and scale managed DevOps programs — without disrupting existing application journeys.

Fintech, healthcare, AI, and SaaS engagements delivered by senior cloud-native specialists.

Outcomes include SOC 2 Type II, 5,000+ concurrent LiveKit sessions, and 60% infrastructure savings.

All engagements preserve existing URLs and customer journeys while upgrading reliability.

F

Financial Services Company

Financial Services

DevOpsGitHub ActionsArgoCDKubernetes

60%

Faster deployments

40%

Reduction in downtime

2 weeks

Deployment frequency (was monthly)

12 min

Mean time to detect (was 45 min)

Financial Services

DevOps Transformation for a Financial Services Company

DevOps transformation delivering 60% faster deployments and 40% reduced downtime through CI/CD automation and modern operational practices.

Challenge

Deployments required 2–4 hours of manual coordination across multiple teams, with no automated testing gate before production. Incidents took an average of 45 minutes to detect and 90 minutes to resolve due to fragmented logging and no standardised runbooks. The team was shipping features every 3–4 weeks due to deployment risk aversion.

Solution

KubeAce delivered an end-to-end DevOps transformation: GitHub Actions CI pipelines with automated testing and security scanning, ArgoCD GitOps for production deployments with canary release capability, a unified LGTM observability stack replacing 4 disconnected monitoring tools, and standardised incident response runbooks.

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S

SaaS Provider

SaaS

KubernetesKarpenterVPAKubecost

58%

Kubernetes cost reduction

60+

Workloads right-sized

Improved

Reliability and pod stability

90 days

Optimisation timeline

SaaS

58% Kubernetes Cost Reduction for a SaaS Provider

Optimized a SaaS provider's Kubernetes infrastructure, reducing cluster costs by 58% while improving reliability and performance.

Challenge

The client ran multiple Kubernetes clusters with static node pools sized for peak load. Off-peak hours — roughly 14 hours per day — saw utilisation below 15%, but costs remained constant. The engineering team lacked visibility into per-service resource consumption and had no autoscaling configured.

Solution

KubeAce implemented Karpenter for node-level autoscaling, tuned resource requests and limits across 60+ workloads based on actual utilisation data, introduced Vertical Pod Autoscaler recommendations, consolidated underutilised clusters, and established resource governance policies to prevent future over-provisioning.

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F

Fintech Cloud Client

Financial Services

AzureKubernetesKubecostFinOps

42%

Azure spend reduction

3 months

Payback period

₹0

Performance degradation

Monthly

Ongoing cost review cadence

Financial Services

42% Azure Cloud Cost Reduction for a Fintech Company

Reduced a fintech company's Azure cloud spend by 42% through architecture optimization, right-sizing, and FinOps practices.

Challenge

The client's Azure spend had grown 3× over 18 months without a corresponding increase in workload. Over-provisioned VMs, unused reserved instances, and unmanaged storage costs were the primary drivers — but the team had no tooling or process to identify or address drift.

Solution

KubeAce conducted a full Azure FinOps audit, implemented Kubecost for Kubernetes cost allocation, right-sized compute resources based on 30-day utilisation profiles, converted eligible workloads to Spot/Low-priority instances, and established monthly cost review processes with automated budget alerting.

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E

E-commerce Platform

E-Commerce

KubernetesGKEKEDAGoogle Pub/Sub

47%

Operational cost reduction

Eliminated

Cold start latency

Zero

Downtime during migration

3×

Faster local development cycle

E-Commerce

Migration from AWS Lambda to Google Kubernetes Engine (GKE)

Migrated a complex serverless architecture from AWS Lambda to Google Kubernetes Engine, reducing operational costs by 47%.

Challenge

The client's serverless architecture on AWS Lambda had become difficult to debug, test locally, and optimise for cost. Cold start latency was degrading checkout performance during traffic spikes, and Lambda execution costs had grown disproportionately as transaction volumes increased.

Solution

KubeAce containerised all Lambda functions as Kubernetes workloads on GKE, implementing KEDA for event-driven autoscaling to replicate the serverless scaling model. We introduced a full CI/CD pipeline with staged rollouts and replaced the event-bus architecture with Pub/Sub-triggered Kubernetes Jobs.

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G

Global Payment Interface

Financial Services

KubernetesAWSCiliumSecrets Manager

SOC 2

Type II certified

100%

Controls passing at audit

6 months

Certification timeline

Zero

Critical findings at audit

Financial Services

SOC 2 Type II Certification for a Global Payment Interface

Guided a global payment interface provider through SOC 2 Type II compliance with robust security controls and automated compliance monitoring.

Challenge

The client processed sensitive payment data across multiple cloud environments but lacked the security controls, audit logging, and documented processes required for SOC 2 Type II certification. Enterprise customers were requiring the certification before signing contracts.

Solution

KubeAce implemented a comprehensive security hardening program: CIS-compliant Kubernetes configurations, network policy enforcement via Cilium, secrets rotation with AWS Secrets Manager, centralised audit log pipelines, and automated compliance drift detection. We worked directly with the client's auditor to document controls and evidence.

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M

Music Learning Platform

Education Technology

LiveKitWebRTCKubernetesReal-time Audio

High-fi

Instrument-grade audio quality

<80ms

Audio latency

1–50

Participants per room

99.5%

Session reliability

Education Technology

Building a Video Conferencing Platform for Music Learning

LiveKit-powered video platform for music education, enabling high-quality audio, instrument visualization, and interactive learning features.

Challenge

Standard video conferencing tools impose audio processing (noise cancellation, echo suppression) that degrades instrument sound quality — making them unsuitable for music instruction. The client needed a WebRTC platform tuned specifically for high-fidelity audio with low latency.

Solution

KubeAce built a custom LiveKit deployment with audio processing profiles optimised for instrument audio rather than voice. We configured room-level settings to disable standard noise suppression for music sessions, implemented adaptive bitrate for high-quality audio tracks, and delivered an interactive whiteboard layer for sheet music annotation.

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T

Telehealth Platform

Telehealth

LiveKitKubernetesWebRTCAI Agents

5,000+

Concurrent sessions supported

<100ms

Avg end-to-end latency

99.9%

Platform uptime

2 regions

Global edge deployment

Telehealth

Video Conferencing Agents & AI Integration Using LiveKit

Scalable telehealth platform integrating human agents, AI automation, and real-time video — handling thousands of daily consultations on Kubernetes.

Challenge

The client needed a reliable, HIPAA-adjacent platform capable of routing consultations to either human agents or AI-driven workflows in real time, with no perceptible handoff latency and consistent video quality across low-bandwidth connections.

Solution

KubeAce architected a LiveKit-based SFU deployment on Kubernetes, integrating LiveKit Agents for AI pipeline orchestration. We built room-level routing logic, Egress pipelines for session recording, and a full WebRTC observability stack to monitor media quality in production.

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