VMwareCloud-Native
VMware Modernization
VMware modernization establishes the right path toward cloud-native infrastructure and Kubernetes.
Workload assessment·Containerization·Kubernetes adoption
HomeAI Solutions
Migration5 services
Cloud Migration ServicesDatabase MigrationSource Code MigrationOn-Premise to Cloud MigrationGCP to AWS MigrationModernization4 services
Kubernetes ConsultingDevOps ServicesApplication ModernizationCloud Native ArchitectureSRE Services4 services
Disaster RecoveryCloud ObservabilityHigh Availability & BackupPrometheus & Grafana Consulting
Modernize Your Applications. Simplify Operations. Accelerate Growth.
We move legacy VMware, EC2, and ECS workloads to Kubernetes-native platforms — with automated CI/CD, GitOps, and security built in at every step, not bolted on after.
Application Modernization
Modernization That Delivers Business-Ready Cloud Platforms.
Modernization should do more than move workloads to new infrastructure. It should make your technology easier to operate, faster to change, and ready to scale with your business.
Our application modernization services help organizations transform legacy environments into secure, scalable cloud-native platforms while minimizing disruption to critical operations.
The modernization path
Stage 01
Legacy Infrastructure
Where you start
Stage 02
Containerized Workloads
Refactor in place
Stage 03
Automated Delivery
CI/CD + GitOps
Stage 04
Cloud-Native Platform
Where you land
Platform capabilities
Platform
Standardized platforms
Reduce operational complexity by replacing fragmented infrastructure and manual processes with standardized cloud-native platforms.
Modernization
Staged containerization
Modernize legacy workloads through containerization, refactoring, and Kubernetes adoption without unnecessary disruption — this is legacy application modernization done in stages, not a forced rewrite.
Delivery
Automated delivery
Accelerate software delivery with automated CI/CD, GitOps, and repeatable deployment workflows.
Scale
Built for scale
Build for scale with cloud native transformation architectures designed to support growing applications, teams, and workloads.
Operations
Standardized Kubernetes
Standardize Kubernetes operations across environments for greater consistency, reliability, and control.
Delivery
Commit-to-production
Automate application delivery from code commit through production deployment.
Observability
Full observability
Improve visibility and resilience with integrated monitoring, observability, security, and operational management.
From legacy application modernization to Kubernetes modernization service work, we help organizations move toward a cloud-native operating model built for long-term performance and growth.
Modernization
Application & Infrastructure Modernization Services
Transform legacy infrastructure and applications into scalable, automated, cloud-native platforms.
VM WorkloadsKubernetes
VMware to Kubernetes Migration
Containerize suitable VM-based workloads and transition them via VMware to Kubernetes migration into Kubernetes-ready architectures.
VM-to-container·Kubernetes migration·Platform modernization
EC2Amazon EKS
EC2 to EKS Migration
EC2 to EKS migration moves workloads to Amazon EKS and modernizes application delivery around Kubernetes.
Containerization·EKS architecture·Deployment automation
ECSEKS
ECS to EKS Migration
ECS to EKS migration transitions workloads to establish a standardized Kubernetes platform across your environment.
Workload migration·EKS·Kubernetes operations
MonolithMicroservices
Monolith to Microservices
Monolithic to microservices migration breaks down monolithic applications into independently deployable, cloud-native services.
Architecture refactoring·Microservices·Containerization
Legacy AppContainerized
Application Refactoring & Containerization
Application refactoring service and containerization services modernize legacy applications through targeted refactoring, without unnecessary rewrites.
Legacy modernization·Application refactoring·Cloud-native architecture
Autonomous CI/CD
Autonomous CI/CD for Faster, More Reliable Software Delivery
Move from manual release processes to automated, repeatable software delivery. Our CI/CD automation services connect code, testing, security, and deployment into streamlined CI/CD pipeline services that help engineering teams release faster with greater control and fewer operational bottlenecks.
Automated Pipeline Workflow Stream
Zero-Toil Engine01
Commit
Git Push & Webhook Trigger
02
Build & Test
Parallel Container Builds
03
Security Check
SAST & Vulnerability Gate
04
Deploy & Promote
Canary / Blue-Green Rollout
05
Verify & Rollback
Automated Health Checks
01
Automated Pipeline Engineering
DevOps CI/CD implementation that builds end-to-end delivery pipelines automating the path from code commit to production — automated builds and testing, security and quality checks, automated deployments, environment promotion, release approvals, and rollback, all as one automated CI/CD pipeline AWS workflow.
Outcome
Faster releases with less manual effort and lower deployment risk.
02
Kubernetes-Native CI/CD
CI/CD for Kubernetes and EKS environments — build, test, security, image management, deployment, and environment promotion integrated into one consistent Kubernetes delivery workflow.
Outcome
Consistent and repeatable application delivery across Kubernetes environments.
03
CI/CD Pipeline Optimization
CI/CD pipeline optimization for existing pipelines — we assess your current delivery process and eliminate unnecessary manual steps, tooling gaps, and deployment bottlenecks.
Outcome
Shorter release cycles, improved engineering productivity, and more reliable deployments.
Section 05 — Kubernetes Delivery
Helm & GitOps with ArgoCD for consistent Kubernetes delivery.
Bring consistency and control to Kubernetes application delivery with Helm & GitOps. We establish standardized deployment configurations and automated workflows that keep application environments aligned while reducing manual intervention and deployment risk.
How it stays in sync
Live sync loop
Single source of truth
Desired state lives in Git — reviewed, versioned, and audited like code.
Continuous reconciliation
ArgoCD compares live cluster state against Git on an ongoing loop, not just at deploy time.
Self-healing by default
Drift is detected and corrected automatically — no manual kubectl apply, ever.
capabilities.yaml
● Synced# 01
kind: Helm Chart Development
spec.description
Helm chart development services create reusable, maintainable charts that standardize how applications are configured and deployed across Kubernetes environments.
status.outcome
Consistent deployments, easier application management, and reduced configuration overhead.
---
# 02
kind: GitOps Implementation
spec.description
GitOps implementation services manage application and infrastructure configuration through version control, automatically reconciled with your Kubernetes environments.
status.outcome
Greater deployment consistency, traceability, and operational control.
---
# 03
kind: ArgoCD Implementation
spec.description
ArgoCD implementation automates application delivery across Kubernetes and EKS environments — deployment workflows, environment sync, access controls, and release processes configured around your operations.
status.outcome
Faster, more predictable deployments with clear visibility into application state.
---
# 04
kind: Kubernetes GitOps Workflows
spec.description
Repeatable Kubernetes GitOps workflow design across development, staging, and production, giving engineering and operations teams a consistent way to manage releases.
status.outcome
Standardized releases, fewer configuration inconsistencies, and stronger control across environments.
Section 06 — Service Communication
Service Mesh & Service Discovery for reliable microservices.
As applications become more distributed, managing communication between hundreds of services can introduce complexity, reliability risks, and security challenges. Our service mesh implementation services provide the control layer needed to securely connect, manage, and observe microservices across Kubernetes environments.
What's actually running between your services
mTLS active
Encrypted by default
Every hop between sidecars uses mutual TLS — no service talks to another in plaintext.
No hardcoded IPs
Services resolve each other by name; the registry keeps pace as pods scale, move, and restart.
One policy, everywhere
Traffic rules, retries, and access controls are enforced consistently across the mesh, not per service.
Service Mesh Implementation
Service mesh implementation to control service-to-service traffic, improve application resilience, and gain greater visibility into distributed workloads.
More reliable communication, better traffic control, and improved operational visibility.
Istio Implementation
Istio implementation services deploy and configure traffic routing, service communication, security policies, and resilience across Kubernetes-based microservices.
Greater control over how services communicate, scale, and recover from failures.
Kubernetes Service Discovery
Kubernetes service discovery establishes reliable communication patterns so applications can locate and reach the services they depend on — core to any microservices service discovery strategy.
Consistent service connectivity across dynamic Kubernetes environments.
Service-to-Service Security
Service mesh security strengthens communication between microservices with identity-based controls, secure service communication, and traffic policies.
Reduced service-to-service security risks and greater control over distributed application traffic.
Live platform status
Kubernetes Management & Platform Operations.
Running Kubernetes at scale requires more than keeping clusters online. We provide Kubernetes management services that keep your platform secure, reliable, optimized, and ready to support business-critical applications.
All managed clusters operational
|CLU-01
EKS-02
SUP-03
REL-04
cluster-topology
Healthy
Scaling
Draining
Kubernetes Cluster Management
CLU-01Kubernetes cluster management takes the operational complexity out of running Kubernetes — configuration, workloads, networking, scaling, upgrades, and day-to-day platform health, all managed.
→A stable and consistently managed Kubernetes platform without the operational burden on your internal teams.
EKS Managed Services
EKS-02EKS managed services and broader managed Kubernetes services cover cluster operations, workload management, performance, security, and infrastructure optimization for your Amazon EKS environment.
→A production-ready EKS platform that remains reliable, scalable, and optimized as your business grows.
Kubernetes Support
SUP-03Kubernetes support services keep production workloads running with proactive monitoring, troubleshooting, incident support, and continuous operational assistance.
→Faster issue resolution, reduced operational risk, and greater confidence in your Kubernetes environment.
Platform Reliability & Optimization
REL-04Continuous improvement of Kubernetes performance, resource utilization, scalability, and security based on your workload requirements and business priorities.
→Better platform efficiency, predictable performance, and a Kubernetes environment built for long-term growth.
Section 09 — Platform Visibility
EKS Observability & Platform Visibility.
Know what is happening across your applications, Kubernetes clusters, and infrastructure before small issues become production incidents. Our EKS observability services bring together metrics, logs, traces, and operational signals to give engineering and leadership teams a clearer view of platform health and performance.
trace: checkout_flow — 120ms
5 spansSignals, not just symptoms
Metrics, logs, and traces are correlated together, not scattered across separate tools.
Root cause in minutes
Trace a slow checkout straight to the exact service and call that caused it.
Visibility into cost, not just uptime
Resource usage and spend are visible alongside performance, not tracked separately.
EKS Monitoring
Kubernetes monitoring services covering cluster health, nodes, workloads, applications, and critical infrastructure signals across your EKS environment.
→Earlier detection of performance issues, failures, and abnormal workload behavior.
Logging & Metrics
EKS logging and monitoring centralizes application and infrastructure logs, metrics, and operational data into one consistent view.
→Faster troubleshooting and better visibility into application and platform performance.
Distributed Tracing
Distributed tracing Kubernetes traces requests across microservices to identify latency, bottlenecks, dependency failures, and performance issues.
→Faster root-cause analysis and improved application reliability.
Observability & Cost Visibility
Kubernetes observability tools connected to workload performance and resource consumption surface inefficiencies — this is EKS cost observability, not just uptime monitoring.
→Better platform performance, resource utilization, and cost control.
DevOps Maturity
DevOps Maturity Model
We have a vision of the DevOps approach in the following maturity model. It was designed to help companies assess their current vs desired state of DevOps.
Pain points
- Any deployment requires active and extensive participation of developers
- Credentials to production instances are not managed securely
- Deployment process is manual, undefined, not repeatable, and fails frequently
- No health checking, all troubleshooting is purely reactive
- Poor communication between Dev and Ops teams
How DevOps as a Service Works
01
Free DevOps Assessment
Review current setup and pain points
02
Onboarding & Knowledge Transfer
Documentation and access setup
03
Stabilization Phase
Monitoring, fixes, and baseline SLAs
04
Continuous Optimization
Ongoing improvements and reporting
AI DevOps
How AI DevOps can save your business?
...
DevOps
Faster Delivery
...
Fewer Human Errors
...
Higher Release Frequency
...
Consistent Environments
...
Earlier Defect Detection
...
Reduced Toil
...
Better Compliance
...
Shorter Recovery Time
...
Transformation
The DevSecCops.ai Difference
Move from reactive, manual operations to an autonomous, secure, and continuously optimized cloud infrastructure.
Without DevSecCops.ai
LegacyManual, error-prone deployments
Frequent unplanned downtime
High, unpredictable cloud cost
Slow, risky release cycles
Security checks bolted on late
Risk Level
With DevSecCops.ai
AutonomousAutomated CI/CD, every time
Kubernetes-based self-healing infra
Continuous cost optimization
AI-powered real-time monitoring
Security built into every pipeline
Impact
10x
Faster Deployments
40%
Cost Reduction
99.9%
Uptime SLA
A+
Security Score
A clearer choice
The capability edge, made visible.
See how DevSecCops.ai compares with freelancers, traditional IT firms, and an in-house team across the capabilities that actually shape outcomes.
Capability
RecommendedDevSecCops.ai
Freelancers
Traditional IT Firm
Internal Hiring
Dedicated senior engineers
Yes
Rarely
Sometimes
Yes
24x7 support & SRE coverage
Yes
No
Limited
Costly
Time to first deployment
Days
Weeks
Months
Months
Security & compliance built-in
Yes
No
Add-on
Depends
Cost predictability
High
Low
Medium
Low
Agentic AI automation
Yes
No
No
No
Dedicated senior engineers
DevSecCops.ai
Yes
Freelancers
Rarely
Traditional IT Firm
Sometimes
Internal Hiring
Yes
24x7 support & SRE coverage
DevSecCops.ai
Yes
Freelancers
No
Traditional IT Firm
Limited
Internal Hiring
Costly
Time to first deployment
DevSecCops.ai
Days
Freelancers
Weeks
Traditional IT Firm
Months
Internal Hiring
Months
Security & compliance built-in
DevSecCops.ai
Yes
Freelancers
No
Traditional IT Firm
Add-on
Internal Hiring
Depends
Cost predictability
DevSecCops.ai
High
Freelancers
Low
Traditional IT Firm
Medium
Internal Hiring
Low
Agentic AI automation
DevSecCops.ai
Yes
Freelancers
No
Traditional IT Firm
No
Internal Hiring
No
How DevOps as a Service Works
01
Free DevOps Assessment
Review current setup and pain points
02
Onboarding & Knowledge Transfer
Documentation and access setup
03
Stabilization Phase
Monitoring, fixes, and baseline SLAs
04
Continuous Optimization
Ongoing improvements and reporting
IntegrationsWorks with your entire
Works with your entire
DevOps stack.
From CI/CD and Kubernetes to cloud, security, observability, and infrastructure automation — all your essential tools, seamlessly integrated.
AWSCloud
TerraformInfrastructure as Code
KubernetesContainer Orchestration
ArgoCDGitOps
GrafanaMonitoring
DockerContainerization
JenkinsCI/CD
PrometheusMonitoring
TrivySecurity Scanning
RancherKubernetes Management
VeleroBackup & Recovery
KarpenterAutoscaling
KEDAEvent-driven Autoscaling
MySQLDatabase
SonarQubeCode Quality
New RelicObservability
Aqua TrivyContainer Security
KubecostCost Management
ELK StackLogging
OpenTelemetryObservability
JFrogArtifact Repository
GitLab CICI/CD
GitHub ActionsCI/CD
HelmPackage Management
AnsibleConfiguration Management
NGINXWeb Server / Ingress
DatadogMonitoring
DatadogMonitoring
NGINXWeb Server / Ingress
AnsibleConfiguration Management
HelmPackage Management
GitHub ActionsCI/CD
GitLab CICI/CD
JFrogArtifact Repository
OpenTelemetryObservability
ELK StackLogging
KubecostCost Management
Aqua TrivyContainer Security
New RelicObservability
SonarQubeCode Quality
MySQLDatabase
KEDAEvent-driven Autoscaling
KarpenterAutoscaling
VeleroBackup & Recovery
RancherKubernetes Management
TrivySecurity Scanning
PrometheusMonitoring
JenkinsCI/CD
DockerContainerization
GrafanaMonitoring
ArgoCDGitOps
KubernetesContainer Orchestration
TerraformInfrastructure as Code
AWSCloud
27+ integrations supported
Why DevSecCops.ai
Expertise you can trust. Ownership you can feel.
We combine senior engineering, secure automation, and proactive operations to help your team move faster with confidence.
The operating partner behind your next stage of growth.
We are not another delivery vendor. We engineer durable cloud systems with the expertise, discipline, and ownership your business needs to move forward.
100+
Deployments
99.9%
Uptime SLA
24/7
Support
01
Deep expertise. Real production impact.
Senior cloud and DevOps engineers bring practical experience to every decision, helping your team deliver faster without sacrificing quality.
1 / 4
AI-Powered Operations
How AI enhances DevOps.
Automating operational tasks and enabling proactive decision-making — under the hood of every environment we manage.
01
Intelligent Deployment Recommendations
AI analyzes release risk and recommends the safest deployment window and rollout strategy.
02
AI-Powered Root Cause Analysis
Correlates logs, metrics and traces to pinpoint the source of an incident in minutes, not hours.
03
Automated Incident Detection
Anomalies are flagged and triaged before they become a customer-facing outage.
04
Infrastructure Optimization
Continuously right-sizes compute, storage and network resources based on real usage patterns.
05
Cloud Cost Recommendations
Surfaces waste and recommends savings automatically, without a manual audit.
06
Intelligent Log Analysis
Parses millions of log lines to surface the handful that actually matter.
07
Predictive Scaling
Forecasts traffic and scales infrastructure ahead of demand, not after it spikes.
08
Self-Healing Infrastructure
Detects failures and remediates them automatically, without paging an engineer.
Field Guide
DevOps as a Service
Handbook v1.0
Free Operational Handbook
Before you evaluate any DevOps partner, read this first.
17 pages covering SLAs, incident workflows, security practices, RACI matrices, and what to ask before signing. No forms. No sales pitch. Just the operational field guide we wish every prospect had.
PDF · 17 pages · Free download
Case Studies
View all case studiesReal results, Real companies.
Measurable improvements from teams that trusted us with their most important infrastructure.
FinTech·Lending
FlexiLoans
40%
Cost cut
3×
Deploy speed
99.9%
Uptime
Modernised core lending infrastructure on AWS with an automated CI/CD platform, lowering infrastructure spend while releasing more often.
AWSKubernetesDevOps
Read full case studyAutomotive·Marketplace
Cars24
99.9%
Available
5×
Scale ready
Built a resilient AWS platform designed for high traffic, multi-region continuity, and enterprise security compliance.
AWSSecuritySRE
Read full case studyAI Platform·Enterprise
Zime AI
100%
Automated
MLOps
Enabled
Designed and deployed a complete MLOps foundation for dependable model serving, monitoring pipelines, and automated workflows.
MLOpsGenAIAIOps
Read full case studyFinTech·Credit
Zolve
60%
Faster onboarding
2×
Throughput
Re-platformed credit-decisioning services onto event-driven microservices, cutting onboarding time and doubling transaction throughput.
KafkaMicroservicesAWS
Read full case studyE-commerce·Marketplace
Meesho
35%
Infra savings
4×
Traffic handled
99.95%
Uptime
Optimised Kubernetes workloads and autoscaling policies to handle festive-season traffic spikes without over-provisioning.
KubernetesCost OptimizationSRE
Read full case studyHealthTech·Consumer
Cure.fit
50%
Latency drop
24/7
Monitoring
Rolled out observability and incident-response tooling across services, slashing average response latency and downtime.
ObservabilitySREGCP
Read full case studyFinTech·WealthTech
Groww
99.99%
Uptime
10×
Load capacity
Architected a highly available trading backend capable of absorbing 10x load spikes during market volatility events.
AWSHigh AvailabilitySecurity
Read full case studyLogistics·On-demand
Dunzo
45%
Cost cut
3×
Deploy speed
Containerised legacy logistics services and automated release pipelines, enabling faster, safer, and cheaper deployments.
DockerCI/CDDevOps
Read full case studyBlockchain·NFT
Toyow
3×
Productivity
Mins
Deploy time
Implemented a fully automated, EKS-driven DevOps platform to support a blockchain-based NFT tokenization platform.
AWSEKSGitOpsBlockchain
Read full case studyMedia·Streaming
Dekoder
200k+
Concurrent users
<10s
Latency
Optimized cloud infrastructure for real-time election updates, scaling to handle over 10 million requests with sub-10 second video latency.
AWSScalabilityStreamingLow Latency
Read full case studyInsurance·DevSecOps
Indian Insurance Provider
93%
Faster Deploy
100%
Traceability
Full-Stack DevSecOps Transformation from Ground Zero, enabling cloud adoption for non-sensitive workloads and streamlining hybrid delivery.
DevSecOpsCI/CDHybrid CloudCompliance
Read full case studyTechnology·Migration
Mid-sized Technology Firm
40%
Savings
80%
Faster Deploy
Modernizing Legacy Infrastructure: Migrating from On-Prem VMware to Native AWS for Enhanced Scalability, Security & Cost Optimization.
AWSVMwareMigrationMLOps
Read full case studyFinTech·AI / LLM
Leading Fintech Company
5x
Inference Speed
50%
GPU Cost Drop
Scalable Multi-GPU On-Prem LLM Deployment using OpenShift, enabling secure, compliant, and cost-effective real-time AI inference.
OpenShiftGPULLMFinTech
Read full case studyBlockchain·Cloud / Azure
DeFi Blockchain Company
30%
Cost Reduction
3x
Transaction Load
Transformed cloud infrastructure with Azure Landing Zones, achieving unmatched scalability, security, and efficiency for DeFi platforms.
AzureBlockchainAKSDeFi
Read full case study01 / 14
Verified client outcomes
14 case studiesTrusted by forward-thinking teams
Modernisation
Ready to Modernize
Your Applications?
Talk to our modernization team about Application Modernization, VMware-to-Kubernetes, EC2 to EKS, ECS to EKS, Containerization, or Kubernetes. Get a clear modernization roadmap for your current environment, priorities, and migration risks before committing to a transformation — with no obligation.