OpenTelemetry
30 moments from 18 videos · 1:27:18 total
Understand how to instrument, generate, and export telemetry data. These curated conference clips show developers how to implement OpenTelemetry standards across distributed applications.
Defining OpenTelemetry as a standardized observability framework
OpenTelemetry provides a rapidly growing open-source toolkit to standardize data collection across all vendor ecosystems and programming languages.
Integrating Elastic dashboards with OpenTelemetry data schemas
Routing standardized telemetry into Elastic's unified schema provides powerful search capabilities and comprehensive dashboards for advanced debugging.
Core concepts of application instrumentation and telemetry
Instrumenting application code enables the continuous emission of telemetry signals that detail system behavior without inspecting internal mechanisms.
Implementing manual and automatic instrumentation in Python
Python developers can embed specific library calls manually or use an automated toolkit to seamlessly track common frameworks without altering core code.
Standardizing telemetry extraction using the OpenTelemetry framework
Adopting a vendor-neutral standard simplifies application instrumentation while allowing infrastructure teams to switch backend storage layers effortlessly.
Centralizing data with the OpenTelemetry collector component
How the OpenTelemetry collector standardizes and collates code-level instrumentation data across microservice environments.
Evaluating practical OpenTelemetry downsides alongside pending transformation features
Identifying potential execution weaknesses in automatic language integrations compared to stable vendor options.
Integrating OpenTelemetry pipeline platforms with embedded third-party observability providers
Verifying exact external ingestion support guarantees to ensure clean telemetry parsing across strict dashboard environments.
Understanding out-of-scope execution capabilities for the OpenTelemetry standard
Distinguishing pure data transmission specifications from external dashboarding limits, alerting services, and uptime monitoring.
Integrating existing application logs into OpenTelemetry pipelines
How standard log collection remains a primary observability method that feeds directly into automated collector pipelines.
Passing contextual system variables using OpenTelemetry baggage traces
Adding generalized execution context tags to tracing headers for smart routing or container security validation.
Using OpenTelemetry as a single vendor-agnostic code dependency
Unified standards capture essential application data without locking teams into a specific backend.
The origin story and unification of OpenTelemetry standards
OpenTracing and OpenCensus merged under the Cloud Native Computing Foundation to eliminate divided instrumentation standards.
Implementing tracing and metrics code with OpenTelemetry APIs
Developers can implement practical exception tracing and system load aggregation using well-documented specifications.
Core architectural components of the OpenTelemetry data pipeline
Telemetry data journeys from application code through APIs, language-specific agents, and collectors before reaching exporters.
Gathering metrics natively with OpenTelemetry frameworks
How the CNCF OpenTelemetry project standardizes application logging models across programming languages.
Tracing agent telemetry with OpenTelemetry and Jaeger tools
Exposing granular execution spans via observability standards clarifies complex internal calls and network lags.
Bridging observability and testing with distributed tracing
Combining OpenTelemetry distributed tracing with trace-based testing helps technical teams catch microservice errors before they reach production.
Standardizing AI telemetry with the OpenTelemetry framework
Using an industry-standard framework to capture consistent tracing and log data from generative AI.
Tracking telemetry events and orchestrating parallel migration runs
Utilizing OpenTelemetry for event tracing enables simultaneous execution of legacy and new systems to ensure frictionless migrations.
Maintaining code quality with open standard observability and pipelines
Why generating code rapidly requires stronger continuous integration pipelines and foundational logging tools like OpenTelemetry.
Investigating request root causes with distributed tracing tools
Adopting OpenTelemetry tracing frameworks to capture and scrutinize detailed context surrounding slow requests.
Consolidating observability data within a unified telemetry platform
Centralizing application metrics and open-source tool data into a single time-series database simplifies team troubleshooting workflows.
Instrumenting supported infrastructure components for automated telemetry scraping
Automating metric ingestion across supported infrastructure components enables deep visibility into networking domains and container hosts.
Key takeaways for building trustworthy application telemetry
Regularly reviewing raw production data reveals hidden data leaks and unnecessary noise before real incidents happen.
Preventing sensitive data leaks in application telemetry
Capturing everything by default often leads to accidentally exposing passwords, email addresses, and personally identifiable information.
Implementing a robust observability stack for agents
Structuring a deployment leverages metrics, logs, and traces through tools like Prometheus and OpenTelemetry.
Standardizing configurations across services with service defaults
Implementing unified OpenTelemetry, health checking, and resilience policies secures all runnable applications using a shared static class.
Architecting tiered observability based on strict latency budgets
Differentiating telemetry mechanisms across hot, warm, and cold paths prevents observation tools from causing performance regressions.
Measuring latency and token usage via tracing
Tracking step-by-step LLM inputs and costs to establish baseline performance metrics.
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