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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.

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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
Benzinga Infrastructure Architecture

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Core Infrastructure

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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

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Kubernetes Infrastructure

We operate two dedicated Kubernetes clusters to ensure safe deployments and environment isolation:
EnvironmentPurposeDeployment Flow
Staging ClusterDeveloper testing, QA validation, integration testingCode changes deployed first for validation
Production ClusterLive customer traffic with SLA guaranteesOnly verified releases are promoted

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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

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API Gateway & Traffic Management

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Kong Gateway

All API traffic flows through Kong Gateway, providing:
1

Authentication

API key validation and JWT token verification at the edge
2

Rate Limiting

Per-client request throttling to ensure fair resource allocation
3

Load Balancing

Intelligent traffic distribution across healthy service pods
4

SSL/TLS Termination

All traffic encrypted with TLS 1.3, certificates auto-renewed

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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

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CI/CD Pipeline

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

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Development Workflow

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Pipeline Stages

StageDescriptionQuality Gate
LintCode style and static analysis checksMust pass all rules
Unit TestsAutomated test suite execution100% tests passing
Security ScanContainer vulnerability scanningNo critical/high CVEs
BuildDocker image creation tagged with commit SHASuccessful build
Peer ReviewManual code review by 2 developersDual approval required
GitOps UpdateImage tag updated in ArgoCD repositoryManual promotion

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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.

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Auto-Scaling Architecture

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

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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)

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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

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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.

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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

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Coralogix: Tracing & Logging

Coralogix provides complete observability into our application layer:
1

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.
2

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.
3

Error Tracking

Automatic error detection with stack traces, contextual information, and affected user counts. Errors are categorized by severity and impact.
4

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

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Datadog: Alerting & Synthetics

Datadog provides proactive monitoring and continuous validation:
1

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.
2

Intelligent Alerting

Machine learning-powered anomaly detection identifies unusual patterns in metrics, triggering alerts before issues impact customers.
3

SLA Monitoring

Real-time tracking of service-level objectives (SLOs) with automated reporting on 99.9% availability targets.
4

Performance Benchmarking

Continuous monitoring of p50, p95, and p99 latency percentiles to ensure consistent performance.
Datadog Synthetic Tests Include:
Test TypeFrequencyRegionsMetrics Tracked
API Health ChecksEvery 60s5 global regionsAvailability, response time, status codes
Data Accuracy TestsEvery 5 min3 regionsData freshness, schema validation, integrity
Performance TestsEvery 60s5 regionsLatency (p50/p95/p99), throughput, error rates
Authentication TestsEvery 5 min2 regionsAPI key validation, rate limiting, OAuth flows

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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:

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Alerting & Incidents

Developer Assignment Process:
  1. Alert Triggered → Automatic Slack notification with context and metrics
  2. On-Call Engineer Triaged → Severity assessed, incident channel created
  3. Developer Assigned → Subject matter expert tagged based on affected service
  4. Investigation → Root cause analysis using Coralogix traces and Datadog metrics
  5. Resolution → Fix deployed through standard GitOps pipeline
  6. 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.

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Security & Compliance

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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

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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

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Disaster Recovery

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Recovery Objectives

MetricTargetCurrent
RTO (Recovery Time Objective)< 15 minutes~5 minutes
RPO (Recovery Point Objective)< 1 minuteReal-time replication

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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

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Production-Ready Reliability Guarantees

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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

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Monitoring & Observability Excellence

Our comprehensive monitoring ensures issues are detected and resolved before they impact your business:
1

Complete Visibility

Every request, log entry, and metric is tracked end-to-end using Coralogix distributed tracing and centralized logging
2

Proactive Detection

Datadog synthetic monitoring tests APIs every 60 seconds from multiple regions, alerting on issues before customer impact
3

Rapid Response

Automated Slack integration routes alerts to dedicated channels with immediate developer assignment and resolution tracking
4

Continuous Improvement

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

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Client Confidence: What This Means for You

When you integrate with Benzinga’s APIs, you’re connecting to a production-grade infrastructure backed by:
FeatureClient Benefit
Multi-AZ RedundancyYour application stays online even during AWS availability zone outages
Automated ScalingYour requests are handled seamlessly during traffic spikes without rate limiting
24/7 MonitoringIssues are detected and resolved by engineers before you notice degradation
Zero-Downtime DeploymentsOur updates never interrupt your service availability
Complete Audit TrailEvery deployment is tracked, reviewed, and instantly rollback-capable
Proactive Alerting95% 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.

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Summary

Benzinga’s infrastructure delivers enterprise-grade reliability through:
1

Cloud-Native Architecture

AWS EKS with multi-AZ deployment and managed control plane ensuring maximum uptime
2

GitOps Deployments

ArgoCD-managed releases with full audit trail and instant rollback capabilities
3

Intelligent Auto-Scaling

Karpenter + HPA for seamless capacity management handling traffic spikes automatically
4

World-Class Monitoring

Coralogix tracing/logging + Datadog alerting/synthetics with Slack integration for rapid incident response
5

24/5 Operations

Dedicated on-call engineers
6

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 [email protected].