Question 1

What is zero instrumentation monitoring?

Accepted Answer

Zero instrumentation monitoring means you get complete observability without modifying your code, installing agents, or adding SDKs. HyperObserve uses eBPF technology to monitor at the kernel level, capturing all application behavior, network traffic, and system events automatically. This eliminates the need for code changes while providing deeper visibility than traditional APM tools.

Question 2

How is HyperObserve different from Datadog, New Relic, or AppDynamics?

Accepted Answer

Unlike traditional APM tools that require agents and cause 15-20% overhead, HyperObserve uses eBPF for zero-instrumentation monitoring with <2% CPU overhead. You get instant deployment (5 minutes vs weeks), no code changes, 90% lower costs ($99/host vs $155+), and deeper kernel-level visibility. Plus, we monitor databases without needing credentials.

Question 3

What systems and platforms does HyperObserve support?

Accepted Answer

HyperObserve supports Linux (kernel 4.14+ for full eBPF, with fallback for older versions), Windows (via WMI), and macOS. We provide binaries for x86_64, ARM64, and ARMv7. Our kernel-level approach works with any programming language, framework, or database without requiring specific SDKs or libraries.

Question 4

How does AI-powered failure prediction work?

Accepted Answer

Our AI system analyzes patterns in metrics, logs, and traces to predict failures 30 minutes before they occur with 85% accuracy. It uses machine learning models for memory leak detection, cascade failure prevention, root cause analysis with evidence collection, and automated remediation recommendations.

Question 5

Which databases can HyperObserve monitor?

Accepted Answer

HyperObserve monitors 11+ databases using wire protocol analysis: MySQL/MariaDB, PostgreSQL, Oracle, SQL Server, MongoDB, Redis, Cassandra, ClickHouse, Elasticsearch, InfluxDB, and DynamoDB. We capture queries, performance metrics, and errors without needing database credentials or query logs - just network visibility.

Question 6

Is HyperObserve suitable for enterprise environments?

Accepted Answer

Yes, HyperObserve is designed for enterprise use with features like enterprise alerting engine with correlation, RBAC (Role-Based Access Control), audit logging, high availability deployment, horizontal scaling, and enterprise support. We handle both cloud-native and traditional infrastructure.

Question 7

How does Real User Monitoring (RUM) work?

Accepted Answer

Our RUM implementation captures real user interactions, Core Web Vitals (LCP, FID, CLS), page load times, JavaScript errors, and user journey analysis. It uses lightweight JavaScript agents and correlates frontend performance with backend infrastructure metrics for full-stack visibility.

Question 8

What is the actual performance overhead?

Accepted Answer

Based on production deployments: Small environments (1-10 services): 1-2% CPU, 50-100MB RAM. Medium (10-100 services): 2-5% CPU, 100-500MB RAM. Large (100+ services): 5-10% CPU, 500MB-1GB RAM. This is 10x lower than traditional APM agents which typically consume 15-20% CPU.

Question 9

How do I get started with HyperObserve?

Accepted Answer

1) Register for a free account to download our agents, 2) Install the hyperobserve-server and hyperobserve-agent on your systems, 3) Configure your preferred storage backend, 4) Start monitoring immediately with zero application changes required. Full setup typically takes under 30 minutes.

Question 10

What kind of support and documentation is available?

Accepted Answer

We provide comprehensive documentation, API references, tutorials, community support through our forum, and enterprise support for paid plans. Our documentation covers installation, configuration, troubleshooting, and best practices for observability.

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