InfoQ HomepageObservability Content on InfoQ
- Posted by Sujana Sooreddy on Jan 02, 2026
From Confusion to Clarity: Advanced Observability Strategies for Media Workflows at Netflix
Naveen Mareddy and Sujana Sooreddy explain how Netflix monitors massive media encoding workflows. They discuss scaling to 1M+ trace spans and using Flink to unlock real-time business insights.
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Icon47:41 - Posted by Martha Lambert on Nov 19, 2025
From Dashboard Soup to Observability Lasagna: Building Better Layers
Martha Lambert shares the "Observability Lasagna" framework, explaining how her team replaced "dashboard soup" with a user-centric stack to achieve high system reliability for their on-call product.
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Icon48:16 - Posted by Tom Akehurst on Nov 05, 2025
Scaling API Independence: Mocking, Contract Testing & Observability in Large Microservices Environments
Tom Akehurst discusses how API mocking and simulation can solve microservice decoupling and productivity problems at scale, using observability, contract testing, and GenAI as guardrails.
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Icon45:51 - Posted by Sally O'Malley on Oct 20, 2025
Why Observability Matters (More!) with AI Applications
Sally O'Malley shares how to build an AI observability stack with open-source tools (Prometheus, Grafana, OpenTelemetry, Tempo, vLLM/Llama Stack). Learn to track performance, quality and cost signals.
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Icon51:05 - Posted by Brian Martin on Aug 28, 2025
High-Resolution Platform Observability
Brian Martin discusses high-resolution platform observability, highlighting how traditional metrics can be misleading and how to gain deeper system insights.
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Icon48:34 - Posted by Jessica Felix on Feb 13, 2025
Lessons Learned in the Financial Market about Performance and Observability in Front-End Projects
Jessica Felix discusses how to navigate the intricate balance between performance and observability, and the challenges of maintaining equilibrium.
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Icon36:37 - Posted by Martin Thwaites on Dec 03, 2024
Production Comes First - an Outside-In Approach to Building Microservices
Martin Thwaites introduces outside-in testing, how to use Observability techniques in a local development to build applications that are easier to debug locally and run as a first class citizen.
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Icon44:24 - Posted by Meenakshi Jindal on Apr 02, 2024
Survival Strategies for the Noisy Neighbor Apocalypse
Meenakshi Jindal discusses experience and lessons learned with a case study from the Asset Management Platform at Netflix about how they detected and survived a noisy neighbor.
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Icon40:15 - Posted by Kent Quirk on Jan 11, 2024
Reliable Architectures through Observability
Kent Quirk shows an overview of observability tools and techniques, and specific recommendations for how to fit observability into their system designs and day-to-day development process.
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Icon48:59 - Posted by Daniel Gomez Blanco on Sep 06, 2023
Effective and Efficient Observability with OpenTelemetry
Daniel Gomez Blanco shares his experience leading a large-scale observability initiative at Skyscanner, based on the adoption of OpenTelemetry across hundreds of services.
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Icon45:25 - Posted by Frederic Branczyk on Aug 29, 2023
Sprinkling eBPF onto Your Observability
Frederic Branczyk discusses the eBPF's capabilities. Beyond that, Branczyk will demonstrate the real-world use of eBPF in next-generation Observability tooling.
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Icon51:48 - Posted by Yury Niño Roa on Feb 24, 2023
Chaos Engineering Observability with Visual Metaphors
Yury Niño Roa introduces a new actor: visual metaphors, discussing visualisation and how to use colours, textures, and shapes to create mental models for observability and chaos engineering.
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Orchestrating Production-Ready AI Workflows with Apache Airflow
Production AI pipelines are hard to run reliably—from RAG and context engineering to inference and human review. Learn how teams use Apache Airflow to orchestrate scalable, event-driven AI workflows with stronger reliability, visibility, and traceability.