Distributed Tracing with Jaeger for Cloud-Native Applications

Monitor, troubleshoot, and optimize microservices performance by mastering distributed tracing concepts and Jaeger implementation.

4.1 (272) ⏱ 1 jam 2 mnt 📚 8 pelajaran 🎧 Versi audio

Tentang kursus ini

Modern cloud-native applications rely on complex microservices, making it incredibly difficult to pinpoint where latency occurs or why a request failed. Distributed tracing solves this by tracking requests as they flow through your entire system. This text-based course guides you from the fundamental concepts of observability to configuring and using Jaeger to monitor, troubleshoot, and optimize your distributed transactions. What you'll learn: - Understand core observability pillars and the fundamentals of distributed tracing. - Configure Jaeger architecture components including collectors, agents, and query interfaces. - Implement context propagation to trace requests seamlessly across microservices boundaries. - Analyze trace data to identify system bottlenecks, high latency, and transaction failures. - Integrate Jaeger with OpenTelemetry standards to future-proof your observability stack. - Practice troubleshooting real-world performance issues through structured text-based scenarios. You will start by exploring essential terminology and tracing architecture before moving into practical instrumentation and advanced trace analysis techniques. This course is designed for backend developers, DevOps beginners, and system administrators looking to understand cloud-native monitoring without prior tracing experience. Start reading today to bring deep visibility into your microservices architecture.

Apa yang Anda dapatkan

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    1 jam 2 mnt konten praktis

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Dengan kartu via Stripe, atau kripto. Kami tidak menyimpan detail kartu — Stripe menanganinya dengan aman.

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Ya — refund penuh dalam 30 hari, tanpa pertanyaan.

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Selamanya. Setelah membeli, kursus jadi milik Anda untuk dikunjungi lagi kapan saja.

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Ya. Setelah selesai, Anda akan menerima sertifikat yang bisa ditambahkan ke profil LinkedIn.

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