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• Observability is about understanding applications by looking at metrics, logs, and traces
• OpenTelemetry is a neutral approach to ship telemetry data
• The OpenTelemetry project includes a specification, API, SDK, data model, tools for generating traces, and a collector
• The OpenTelemetry collector can be run on Kubernetes or locally
• The tutorial covers manual and automatic instrumentation
• The OpenTelemetry operator can be used to integrate with Prometheus and get logs from nodes

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• Psyllium and Hubble can provide observability and security in distributed systems
• Existing mechanisms such as traditional monitoring devices and VPC logs fall short in providing context and scalability
• Psyllium uses identity-based observability and security based on labels to secure and monitor traffic
• Hubble provides a surface mesh solution for monitoring workflows and exporting flows to other platforms
• Ready-to-use dashboards are available in Grafana marketplace for monitoring cluster and application performance

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• GraphQL is a query language and server-side runtime that provides a monolithic facade on top of complex microservice architecture
• Using GraphQL introduces new challenges when isolating failures and troubleshooting performance issues
• OpenTelemetry can help monitor and improve troubleshooting for GraphQL queries in production
• The RED method can be used to monitor the health and performance of distributed systems
• Instrumenting GraphQL services with OpenTelemetry can provide distributed traces for monitoring

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• The Connectors framework allows for the creation of generalized systems for managing telemetry.
• Connectors can be used to replicate and merge data streams, apply sampling criteria, and reason about multiple data types in one place.
• The structure of pipelines and data streams in the OpenTelemetry Collector is governed by certain rules and expectations.
• The Connectors framework can be used to address limitations in the existing pipeline structure.
• An anecdote is provided to illustrate how the Connectors framework can be used to filter and redact telemetry data.

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• Open Telemetry has several streaming protocols and projects baked into the project itself
• Open Telemetry is interoperable with other projects and teams adding support for it
• Native integrations are starting to use native OTLP APIs
• Contrib repos have hundreds if not thousands of integrations with existing technologies

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• Jaeger is an open-source distributed tracing system that helps in monitoring and troubleshooting microservices-based distributed systems
• Jaeger supports OpenTelemetry line protocol, Adaptive sampling, and flame graph views in the UI
• Jaeger is working on supporting ClickHouse as a native data store and replacing the Jaeger collector with OpenTelemetry

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• Modern problems require modern solutions, and application security testing tools need to evolve to keep up with changing vulnerabilities in modern applications.
• Collecting all available cloud-native information, such as traces and infrastructure configuration, is crucial when addressing vulnerabilities in cloud-native applications.
• Open-source tools, such as openTelemetry, can be repurposed for application security purposes to make organizations more secure.
• Observability is essential for understanding the real risk of microservices-based and Kubernetes-based applications, and analyzing each microservice separately without knowledge of the surrounding infrastructure is insufficient.

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• Metrics and Open Telemetry are used for observability and provide an API and SDK for instrumenting code and collecting telemetry data.
• The media provider is the API entry point for metrics, and meters and instruments are used to record measurements.
• Aggregation, temporality, and dimensions are important concepts in metrics.
• Async up down counters and gauges are two types of metric instruments that are used for different purposes.
• There is much more to learn about metrics and Open Telemetry, including customization options and different processors for transforming metrics data.
• The presentation provides references for further exploration and credits to the people who contributed to the content.

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• Open Gemini is a unified storage engine that processes data generated and collected by a simple data stack.
• It uses Open Telemetry as the standard protocol for visibility and provides a metric store, log store, and observability backend storage.
• Open Telemetry provides a unified access protocol and standardized data models for metrics, trace, and logs.
• Open Gemini uses a columnar layout for the metric store and an airway index for the log store.
• Open Gemini provides a unified Circle engine for all queries.
• The sale rate index balances the linked list and reduces the total size of the index.
• Open Gemini reduces CPU cost and improves query latency compared to other systems.
• Open Gemini aims to support tracing data storage and correlation analysis in the future.

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• Captain is an application lifecycle orchestrator that separates the process from the underlying tooling to simplify complex automation pipelines
• Captain reduces automation code by 90% and comes with SRE best practices like SLO validations built-in
• OpenFeature enables standardization and vendor-agnostic feature flagging
• Both Captain and OpenFeature have active communities and can be accessed through QR codes or their respective websites