Platform Engineering

Collect, Correlate, and Analyze Billions of Transactions in Real-Time

Real-time data platform processing 1 million events/sec with 99.99%+ availability and zero data loss. Highly configurable architecture with no vendor lock-in. Deploys on managed Kubernetes or VMs. Integrates with any system through open APIs.

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Delivers Visibility Across 28B+ Monthly Transactions

Engineered for Scale

Architecture Built To Handle Citizen-Scale Transaction Volumes

Process millions of events per second, store petabytes of data, and scale infrastructure elastically; all while maintaining high available performance and zero data loss.

Telemetry

Distributed Kafka clusters with sharding handle millions of events per second across multiple brokers.

Data Streaming

Multiple ContextStreams instances process data independently with load balancing and dynamic node addition.

Storage

Columnar architecture with 80% compression uses tiered storage with automatic movement between tiers based on access patterns.

Deployment

Horizontal pod autoscaling, distributed load balancing, data sharding and caching for reduced database loads, and seamless scaling.

Platform Architecture

Architecture Designed for Real World Business Observability

Built Ground-Up

Built for business journey observability – no retrofits, no legacy constraints.

Modern Architecture

Engineered for citizen-scale, resilience and continuous change.

Future-Ready

Ready for future growth, compliance needs, and ecosystem complexity.

Platform Components

The Five Layers Powering Real-Time Business Observability

Data Acquisition

1 Million Events per Second With Zero Data Loss

Collect telemetry using OmniAgents (unified agents), agentless polling, or API-based integration. Pre-built O11ySources connect to 300+ infrastructure and application sources in under 5 minutes

Agent-based and agentless collection with auto-discovery of infrastructure and application components

Zero-touch auto-instrumentation for immediate monitoring without code changes

Ingest petabytes of heterogeneous structured and unstructured data at scale

Operates flawlessly without performance impact on monitored systems

High throughput with real-time streaming and <60 second latency

OmniAgents

O11ySources

Data Correlation

Transform Raw Data Into Business Intelligence

ContextStreams processes data at ingestion speed using 30+ domain-centric adaptors. HyperScale Data Store with columnar architecture delivers 80% compression and sub-second queries.

3T correlation stitches business and IT context

Pre-built adaptors for domain-specific workflows

Columnar storage with tiered hot/warm/cold architecture

Response to simple and complex analytical queries within seconds

Transform telemetry with data and AI/ML models

Scalable MLOps layer with integrated model training, versioning, and deployment

ContextStreams

HyperScale Data Store

Data Consumption

Insights Delivered How Teams Need Them

Interactive storyboards, programmable alerts, and Ved AI assistant turn data into actionable insights. Role-based dashboards with narrative insights for executives, operations, and compliance teams.

Static and dynamic threshold-based alerts

Integration with ITSM and collaboration platforms

Persona-based views with drill-down capabilities

Multi-channel delivery (WhatsApp, Slack, MS Teams, email, SMS)

RESTful API layer for programmatic access to enriched data and insights

Alert Console

Ved

Control Center

Deploy and Manage at Scale

Central management for installation, deployment, self-monitoring, and maintenance built on principles of scale, high availability, and security. vuLauncher deploys the platform on VMs or managed Kubernetes. vuSiteManager self-monitors platform health with automated restart and remediation capabilities.

Deploy on Amazon EKS, Azure AKS, Google GKE, OpenShift, Rancher, and more

RBAC with fine-grained permissions for enterprise security

Built-in high availability with fault-tolerant architecture

License management with easy portability between cloud and on-prem environments

Deployment

vuSiteManager

Domain Modelling Workspace

Hyper-Configurable Platform for Any Business Need

Extensive customization capabilities across dashboards, access controls, alerts, journey workflows, and data pipelines. O11ySources Studio and Journey Workbench provide easy, light integration with third-party scripts, data models, and services.

Plug-and-play observability for standard systems and components

Configure custom O11ySources for unique telemetry requirements

Build business journey workflows with predefined templates

Customize data pipelines, enrichment rules, and correlation logic

O11ySources

Journey Workbench

Integrated MLOps

Every Anomaly, Correlation, and Prediction Comes With a Business Context Automatically

vuCoreML, VuNet's MLOps engine tells you which customers can't complete transactions, and which payment flows are degrading.

Detect Anomalies Before Customers Notice

ML models baseline your normal transaction patterns, journeys, and system behavior. Get alerts with confidence scores when success rates drop, latency increases or errors spike.

Turn Alert Chaos Into Actionable Incidents

Infrastructure failures, API errors, and transaction issues from the same root cause become one ticket with full context and audit trails.

Get Topology-Aware Root Cause Analysis

RCABot maps your system topology: service dependencies, API chains, database connections, transaction flows. Correlates across the stack to pinpoint exact failure points.

Forecast Capacity and Performance

Predict batch job completion times, capacity constraints, and system behavior from historical patterns.

Measure Customer Impact

User Experience Index combines transaction success rates, latency patterns, and error distributions to calculate customer impact. Correlate IT metrics with business KPIs.

Platform Foundation

Enterprise-Grade Foundation

vuSmartMaps™ fault-tolerant architecture ensures continuous operations, regulatory compliance, flexible deployment, and seamless integrations. Proven at 99.99%+ availability with zero data loss across petabytes of data.

99.99%+ Uptime Through Redundancy and Automated Failover

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Telemetry: Multiple OmniAgents with Kafka-based microservices and auto-recovery prevent data loss during system failures
Data Streaming: ContextStreams Pipelines follow microservices architecture built on Kafka's partitioned design to achieve continuous, parallel processing with no single point of failure
Storage: Clustered HyperScale Data Store with 1:1 replication (expandable to 1:N) and automatic load balancing across healthy nodes
Alerting: Kubernetes redeploys engines automatically with persistent alert queues to prevent missed notifications
Deployment: Multi-region DC and DR deployment with Active-Active and Active-Passive configurations, automated health checks, and failover mechanisms

Enterprise Security With Built-In Regulatory Compliance

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Certified for ISO 27001:2022, GDPR, and SOC 2 Type 2
Generate RBI, SEBI, and NPCI compliance reports on demand
Complete audit trails track every data access, modification, and user action
Encrypted service-to-service communication and data transmission
RBAC with fine-grained permissions and multi-tenancy isolation
DevSecOps pipelines with automated vulnerability assessments and penetration testing

Deploy Anywhere With Zero Vendor Lock-In

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Deploy vuSmartMaps^TM on Amazon EKS, Azure AKS, Google GKE, OpenShift, Rancher, or VMs (Ubuntu, RHEL, Oracle Linux)
Multi-cloud and hybrid compatibility (AWS, Azure, GCP, on-premise)
Active-Active/Active-Passive modes with horizontal scaling and elastic auto-scaling
Self-contained license management with easy portability between environments
No vendor lock-in through flexible, adaptable architecture

Deploy Observability That Scales Securely With Your Enterprise

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