Infrastructure Architecture - Benzinga API Documentation

Benzinga’s infrastructure is designed for 99.9% availability, ensuring your applications receive reliable, real-time financial data around the clock. Our production environment is battle-tested, fully monitored, and backed by 24/5 on-call engineering support.

Overview

Our platform is built on a modern, cloud-native architecture leveraging AWS managed services, Kubernetes orchestration, and GitOps deployment practices. This production-grade infrastructure powers millions of API requests daily while maintaining sub-100ms response times with comprehensive observability and automated scaling.

99.9% Uptime SLA

Production-tested reliability with multi-AZ redundancy

24/7 Monitoring

Real-time observability with Coralogix and Datadog

Automated Scaling

Zero-downtime deployments with intelligent autoscaling

Core Infrastructure

AWS Cloud Foundation

Our infrastructure runs entirely on Amazon Web Services (AWS), taking advantage of:

Multi-AZ Deployment

Services deployed across multiple Availability Zones for fault tolerance

AWS VPC

Isolated Virtual Private Cloud with strict security group policies

Route 53

Global DNS with health checks and automatic failover routing

Managed EKS

AWS-managed Kubernetes control plane with 99.95% SLA

Kubernetes Infrastructure

We operate two dedicated Kubernetes clusters to ensure safe deployments and environment isolation:

Environment	Purpose	Deployment Flow
Staging Cluster	Developer testing, QA validation, integration testing	Code changes deployed first for validation
Production Cluster	Live customer traffic with SLA guarantees	Only verified releases are promoted

Key Kubernetes Components

Karpenter — AWS-native node autoscaler that provisions right-sized compute in seconds, not minutes
Horizontal Pod Autoscaler (HPA) — Automatic pod scaling based on CPU, memory, and custom metrics
Kong Gateway — Enterprise API gateway handling ingress/egress, rate limiting, and authentication
ArgoCD — GitOps-based deployment controller for declarative, auditable releases

API Gateway & Traffic Management

Kong Gateway

All API traffic flows through Kong Gateway, providing:

Authentication

API key validation and JWT token verification at the edge

Rate Limiting

Per-client request throttling to ensure fair resource allocation

Load Balancing

Intelligent traffic distribution across healthy service pods

SSL/TLS Termination

All traffic encrypted with TLS 1.3, certificates auto-renewed

Route 53 DNS

AWS Route 53 provides:

Global latency-based routing — Users automatically routed to the fastest endpoint
Health checks — Continuous monitoring with automatic failover on failure
100% uptime SLA — AWS-backed availability guarantee for DNS resolution

CI/CD Pipeline

Our deployment pipeline enforces strict quality gates before any code reaches production.

Development Workflow

Pipeline Stages

Stage	Description	Quality Gate
Lint	Code style and static analysis checks	Must pass all rules
Unit Tests	Automated test suite execution	100% tests passing
Security Scan	Container vulnerability scanning	No critical/high CVEs
Build	Docker image creation tagged with commit SHA	Successful build
Peer Review	Manual code review by 2 developers	Dual approval required
GitOps Update	Image tag updated in ArgoCD repository	Manual promotion

GitOps with ArgoCD

All deployments are managed through ArgoCD, following GitOps principles:

Declarative — Desired state defined in Git, single source of truth
Automated sync — ArgoCD detects changes and applies them automatically
Rollback capability — Instant rollback by reverting Git commits
Audit trail — Complete deployment history via Git commit log

Every production change is traceable to a specific Git commit, peer review, and approver — ensuring complete auditability for compliance requirements.

Auto-Scaling Architecture

Our infrastructure scales automatically at multiple levels to handle traffic spikes.

Pod-Level Scaling (HPA)

Each service deployment includes Horizontal Pod Autoscaler configuration:

# Example HPA Configuration
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
spec:
  minReplicas: 3
  maxReplicas: 50
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 70

Scaling triggers:

CPU utilization > 70%
Memory utilization > 80%
Custom metrics (request queue depth, latency percentiles)

Node-Level Scaling (Karpenter)

Karpenter handles cluster capacity by:

Provisioning optimally-sized nodes in under 60 seconds
Consolidating underutilized nodes to reduce costs
Supporting spot instances for non-critical workloads
Respecting pod topology and availability zone constraints

Production-Grade Observability & Monitoring

Our infrastructure employs enterprise-grade monitoring with multiple layers of observability, ensuring complete visibility into system health, performance, and reliability. Every component is continuously monitored with automated alerting and incident response protocols.

Comprehensive Monitoring Stack

Coralogix

Distributed Tracing & Logging

Real-time log aggregation from all services
Distributed tracing across microservices
Application performance monitoring (APM)
End-to-end request tracking with correlation IDs
Log pattern recognition and anomaly detection
Custom dashboards for business metrics

Datadog

Alerting & Synthetic Monitoring

24/7 continuous API endpoint testing
Multi-region synthetic monitoring
Response time and availability tracking
Automated alerts with intelligent routing
Service-level indicator (SLI) tracking
Performance regression detection

Coralogix: Tracing & Logging

Coralogix provides complete observability into our application layer:

Centralized Logging

All application logs from every service, pod, and container are aggregated in real-time, providing instant access to debugging information across the entire infrastructure.

Distributed Tracing

Every API request is traced end-to-end across microservices, load balancers, databases, and external services. This enables rapid root-cause analysis of performance issues or errors.

Error Tracking

Automatic error detection with stack traces, contextual information, and affected user counts. Errors are categorized by severity and impact.

Performance Analytics

Real-time metrics on API response times, throughput, error rates, and resource utilization across all services.

Key Coralogix Features in Production:

Retention Policy: 30-day hot storage for immediate access, 90-day archive for compliance
Query Performance: Sub-second queries across billions of log entries
Alert Integration: Automated routing to Slack channels and on-call engineers
Custom Dashboards: Business-specific metrics visible to stakeholders in real-time

Datadog: Alerting & Synthetics

Datadog provides proactive monitoring and continuous validation:

Synthetic API Testing

Automated tests run every 60 seconds from multiple geographic regions, validating API availability, response times, and data accuracy before customers are impacted.

Intelligent Alerting

Machine learning-powered anomaly detection identifies unusual patterns in metrics, triggering alerts before issues impact customers.

SLA Monitoring

Real-time tracking of service-level objectives (SLOs) with automated reporting on 99.9% availability targets.

Performance Benchmarking

Continuous monitoring of p50, p95, and p99 latency percentiles to ensure consistent performance.

Datadog Synthetic Tests Include:

Test Type	Frequency	Regions	Metrics Tracked
API Health Checks	Every 60s	5 global regions	Availability, response time, status codes
Data Accuracy Tests	Every 5 min	3 regions	Data freshness, schema validation, integrity
Performance Tests	Every 60s	5 regions	Latency (p50/p95/p99), throughput, error rates
Authentication Tests	Every 5 min	2 regions	API key validation, rate limiting, OAuth flows

Slack Integration & Incident Management

All monitoring systems integrate with dedicated Slack channels for immediate visibility and rapid response:

#alerts-production

Critical Alerts

P1/P2 incidents requiring immediate action
Automated on-call engineer paging
Real-time metrics and runbook links
Incident commander assignment

#monitoring-insights

Performance Insights

Daily health summaries
Capacity planning alerts
Performance trend notifications
Anomaly detection warnings

Slack Alert Workflow:

Alerting & Incidents

Developer Assignment Process:

Alert Triggered → Automatic Slack notification with context and metrics
On-Call Engineer Triaged → Severity assessed, incident channel created
Developer Assigned → Subject matter expert tagged based on affected service
Investigation → Root cause analysis using Coralogix traces and Datadog metrics
Resolution → Fix deployed through standard GitOps pipeline
Post-Mortem → Incident documented with preventive measures

All P1/P2 incidents trigger immediate automated paging to on-call engineers with 24/5 coverage.

Our monitoring systems have detected and resolved 95% of potential issues before customer impact through proactive alerting and automated remediation.

Security & Compliance

Network Security

VPC Isolation — Complete network segmentation from public internet
Security Groups — Strict ingress/egress rules, deny-by-default
TLS Everywhere — All internal and external traffic encrypted
Secrets Management — AWS Secrets Manager for sensitive credentials

Access Control

RBAC — Kubernetes role-based access control for all operations
SSO Integration — Enterprise identity provider integration
Audit Logging — Complete access logs retained for compliance

Disaster Recovery

Recovery Objectives

Metric	Target	Current
RTO (Recovery Time Objective)	< 15 minutes	~5 minutes
RPO (Recovery Point Objective)	< 1 minute	Real-time replication

Resilience Features

Multi-AZ replication — Data replicated across availability zones
Automated failover — Route 53 health checks trigger DNS failover
Rolling deployments — Zero-downtime deployments with automatic rollback
Backup & restore — Automated daily backups with point-in-time recovery

Production-Ready Reliability Guarantees

Why Our Infrastructure is Rock-Solid

Benzinga’s infrastructure is production-tested at scale, handling millions of daily requests with proven reliability:

Battle-Tested at Scale

Production Statistics

10M+ API requests processed daily
Sub-100ms average response time
99.9% historical uptime achieved
Zero data loss in 3+ years

Enterprise-Grade Operations

Operational Excellence

24/5/365 on-call engineering coverage
Automated failover and self-healing
Multi-region redundancy

Monitoring & Observability Excellence

Our comprehensive monitoring ensures issues are detected and resolved before they impact your business:

Complete Visibility

Every request, log entry, and metric is tracked end-to-end using Coralogix distributed tracing and centralized logging

Proactive Detection

Datadog synthetic monitoring tests APIs every 60 seconds from multiple regions, alerting on issues before customer impact

Rapid Response

Automated Slack integration routes alerts to dedicated channels with immediate developer assignment and resolution tracking

Continuous Improvement

Post-mortem analysis for all incidents ensures issues never recur with automated preventive measures

Client Confidence: What This Means for You

When you integrate with Benzinga’s APIs, you’re connecting to a production-grade infrastructure backed by:

Feature	Client Benefit
Multi-AZ Redundancy	Your application stays online even during AWS availability zone outages
Automated Scaling	Your requests are handled seamlessly during traffic spikes without rate limiting
24/7 Monitoring	Issues are detected and resolved by engineers before you notice degradation
Zero-Downtime Deployments	Our updates never interrupt your service availability
Complete Audit Trail	Every deployment is tracked, reviewed, and instantly rollback-capable
Proactive Alerting	95% of potential issues resolved before customer impact

Production-Ready: Our infrastructure has processed over Billion API requests with 99.9% availability and maintains sub-100ms latency for real-time financial data delivery.

Summary

Benzinga’s infrastructure delivers enterprise-grade reliability through:

Cloud-Native Architecture

AWS EKS with multi-AZ deployment and managed control plane ensuring maximum uptime

GitOps Deployments

ArgoCD-managed releases with full audit trail and instant rollback capabilities

Intelligent Auto-Scaling

Karpenter + HPA for seamless capacity management handling traffic spikes automatically

World-Class Monitoring

Coralogix tracing/logging + Datadog alerting/synthetics with Slack integration for rapid incident response

24/5 Operations

Dedicated on-call engineers

Strict Security

Defense-in-depth with encryption, RBAC, and network isolation protecting your data

Your Success is Our Priority: For questions about our infrastructure, SLA guarantees, or to discuss your specific reliability requirements, contact your account representative or email support@benzinga.com.

​Overview

99.9% Uptime SLA

24/7 Monitoring

Automated Scaling

​Core Infrastructure

​AWS Cloud Foundation

Multi-AZ Deployment

AWS VPC

Route 53

Managed EKS

​Kubernetes Infrastructure

​Key Kubernetes Components

​API Gateway & Traffic Management

​Kong Gateway

​Route 53 DNS

​CI/CD Pipeline

​Development Workflow

​Pipeline Stages

​GitOps with ArgoCD

​Auto-Scaling Architecture

​Pod-Level Scaling (HPA)

​Node-Level Scaling (Karpenter)

​Production-Grade Observability & Monitoring

​Comprehensive Monitoring Stack

Coralogix

Datadog

​Coralogix: Tracing & Logging

​Datadog: Alerting & Synthetics

​Slack Integration & Incident Management

#alerts-production

#monitoring-insights

​Alerting & Incidents

​Security & Compliance

​Network Security

​Access Control

​Disaster Recovery

​Recovery Objectives

​Resilience Features

​Production-Ready Reliability Guarantees

​Why Our Infrastructure is Rock-Solid

Battle-Tested at Scale

Enterprise-Grade Operations

​Monitoring & Observability Excellence

​Client Confidence: What This Means for You

​Summary

Overview

Core Infrastructure

AWS Cloud Foundation

Kubernetes Infrastructure

Key Kubernetes Components

API Gateway & Traffic Management

Kong Gateway

Route 53 DNS

CI/CD Pipeline

Development Workflow

Pipeline Stages

GitOps with ArgoCD

Auto-Scaling Architecture

Pod-Level Scaling (HPA)

Node-Level Scaling (Karpenter)

Production-Grade Observability & Monitoring

Comprehensive Monitoring Stack

Coralogix: Tracing & Logging

Datadog: Alerting & Synthetics

Slack Integration & Incident Management

Alerting & Incidents

Security & Compliance

Network Security

Access Control

Disaster Recovery

Recovery Objectives

Resilience Features

Production-Ready Reliability Guarantees

Why Our Infrastructure is Rock-Solid

Monitoring & Observability Excellence

Client Confidence: What This Means for You

Summary