Microservices

Microservices Monitoring Without Code Changes

Get complete visibility into your microservices architecture without modifying any code. Automatic distributed tracing, service dependency mapping, and performance monitoring across all services, languages, and protocols.

Zero
Code Changes
100%
Service Coverage
All
Languages
Real-time
Traces

Complete Microservices Observability

Monitor every service, every call, every protocol - automatically

Zero-Code Distributed Tracing

Automatically trace requests across all microservices without adding a single line of code

Service Dependency Mapping

Discover and visualize service relationships, API calls, and data flows automatically

Cross-Service Performance

Track latencies, error rates, and SLIs across your entire microservices architecture

Protocol-Agnostic Monitoring

Monitor HTTP, gRPC, Kafka, RabbitMQ, and custom protocols without configuration

Cascade Failure Detection

Identify service bottlenecks and cascading failures before they impact users

Service Mesh Compatible

Works with Istio, Envoy, Linkerd, and Consul without any integration needed

Automatic Distributed Tracing

No SDKs. No Libraries. Just Complete Traces.

Distributed trace visualization
Automatic

Trace correlation without headers or context propagation

Complete

Every service call captured, including async operations

Real-time

Live traces with sub-millisecond latency

Service Dependency Discovery

Automatically discover how your services communicate

What We Discover

  • Service-to-service calls
  • API endpoints and methods
  • Database dependencies
  • Message queue flows
  • External API calls

Insights Provided

  • Call volumes and rates
  • Latency percentiles
  • Error rates by endpoint
  • Service criticality
  • Bottleneck detection

Works With Any Stack

β˜•
Java
Spring, Quarkus
🐍
Python
Django, FastAPI
πŸ“—
Node.js
Express, NestJS
🐹
Go
Gin, Echo
πŸ¦€
Rust
Actix, Rocket
πŸ’Ž
Ruby
Rails, Sinatra
πŸ”·
.NET
ASP.NET Core
🐘
PHP
Laravel, Symfony

No SDK integration needed - works at the kernel level

How eBPF Makes It Possible

1

Kernel-Level Visibility

eBPF programs run in the kernel, capturing all network traffic between services regardless of language, protocol, or encryption.

2

Automatic Correlation

Traces are correlated using kernel-level connection tracking, eliminating the need for trace headers or context propagation.

3

Zero Overhead

No agents, no sidecars, no service mesh required. Just deploy once per host and monitor all services automatically.

What We Monitor

Automatic service discovery
Request flow visualization
Distributed trace correlation
Service-to-service latency
Error propagation tracking
API endpoint monitoring
Queue and async tracking
Database call attribution
Circuit breaker monitoring
Canary deployment analysis

Frequently Asked Questions

Common questions about microservices monitoring

Do I need to modify my code to use HyperObserve?

No code modifications are required. HyperObserve uses eBPF technology to monitor at the kernel level, providing complete visibility into your microservices without any application changes or restarts.

What programming languages and frameworks are supported?

HyperObserve supports all programming languages and frameworks including Java, Python, Node.js, Go, .NET, Ruby, PHP, and more. Since monitoring happens at the network level, language-specific agents or SDKs are not required.

How much performance overhead does HyperObserve add?

HyperObserve adds less than 2% CPU overhead compared to 5-15% for traditional APM tools. The eBPF-based approach is highly efficient and designed for production environments.

Can HyperObserve work with service meshes like Istio?

Yes, HyperObserve works seamlessly with service meshes including Istio, Linkerd, and Consul Connect. It provides complementary visibility and can monitor both service mesh traffic and direct service-to-service communication.

How quickly can I get started with microservices monitoring?

You can have complete microservices monitoring running in under 5 minutes. Simply deploy the HyperObserve agent and start seeing distributed traces, service maps, and performance metrics immediately.

Does HyperObserve support hybrid and multi-cloud environments?

Yes, HyperObserve provides unified monitoring across on-premises, hybrid, and multi-cloud environments. You get a single pane of glass for all your microservices, regardless of where they're deployed.

Monitor Microservices in Minutes, Not Months

No code changes. No service restarts. Just instant observability.