All terms
DevOps

What is Jaeger

Distributed request tracing

Jaeger is an open-source distributed tracing system developed at Uber and donated to CNCF. It allows tracking the path of requests through microservices.

Key Features

  • Distributed tracing — visualizing request path through services
  • Root cause analysis — finding the source of performance issues
  • Dependency mapping — automatic service graph construction
  • Latency analysis — measuring time at each stage

Key Concepts

  • Trace — complete request path through the system
  • Span — unit of work within a trace
  • Context propagation — passing context between services
  • Sampling — selective recording of traces

Integrations

  • OpenTelemetry — standard SDK for instrumentation
  • Kubernetes — native integration
  • Service Mesh (Istio, Linkerd) — automatic tracing
  • Elasticsearch, Cassandra — data storage

Benefits

Marketing on Steroids. Ad personalization increases conversion by 60%. Automatic A/B testing and campaign optimization. Customer acquisition cost drops 35-40%. Organic traffic grows 3x.

How to Start

Step 1: MVP Approach. Select the minimum feature set for the first version. Launch a pilot with a small user sample. Collect metrics and feedback systematically. Iterate based on data, not assumptions.

ROI & Efficiency

Compliance & Security. Compliance and audit savings up to 60%. Security incidents drop 70%. Complete audit trail for all operations. SLA penalty savings of 80-90% through automated monitoring.

Common Mistakes

No Measurements. Without baseline metrics, you can't prove ROI. Measure before and after implementation. Define KPIs upfront. Track and adjust your approach regularly based on data.

Who Needs It

SaaS & IT Companies. Tech companies with high uptime requirements. SaaS businesses scaling customer support. IT companies automating DevOps processes. Startups pursuing product-led growth strategies.

Practical Example

Case: Banking. Loan application processing took 3-5 days. AI scoring + RPA reduced it to 15 minutes. Conversion grew 35% — customers stopped leaving for competitors. Annual payroll savings: $500K at 50,000 applications per month.

Frequently Asked Questions

Q:How does automation affect customer service quality?
Response time drops from hours to seconds. Personalization increases satisfaction by 40-50%. Chatbots resolve 60-80% of standard requests without human agents. Agents focus on complex cases, improving solution quality significantly.
Q:What risks are associated with automation?
Main risks: team resistance, data quality issues, vendor lock-in, timeline underestimation. Mitigation: pilot approach, change management, open standards, realistic planning. With the right approach, risks are minimal while potential is enormous.
Q:How to integrate automation with existing systems?
Through APIs — the modern integration standard. Middleware solutions (iPaaS) connect systems without coding. Webhooks for real-time data exchange. When APIs are unavailable, RPA robots work through the UI. Always conduct an integration audit before starting.

Related terms

OpenTelemetry