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Authors: Pavol Loffay, Benedikt Bongartz, Yuri Oliveira Sa, Severin Neumann, Kristina Pathak

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The tutorial explores the use of OpenTelemetry for end-to-end observability data collection on Kubernetes. Participants will learn how to instrument applications using auto-instrumentation, deploy the OpenTelemetry collector, and collect traces, metrics, and logs.
  • 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
Conference:  Transform X 2022
Authors: Brandon Moak

As CTO and Co-Founder of Embark Trucks, America's longest-running self-driving trucking program, Brandon Moak discusses both the opportunities and the challenges involved with bringing a fully autonomous truck fleet to production. Many of today’s generation of professional truck drivers are over the age of 50, and global supply chain shortages are continuing, so this industry is ripe for automation. Moak has helped Embark expand and mature its machine learning capabilities from rudimentary to sophisticated. But it's not been easy, as Moak covers; the company at one point needed to take a step back and figure out the essential, repeatable, data-based elements of successful projects before it could scale up and out in a meaningful way. Moak describes how Embark generates a new model from scratch, in this case a Lidar segmentation detector. You will learn how the company built a high-quality, fleet-wide data engine that ensures accuracy and consistency in data collection and annotation, how it deployed upgraded sensors across a large fleet, how it implemented advanced dataset curation tools to mine interesting data and conquer the long tail of edge cases, and how it manages and motivates an expanding machine learning workforce. Before joining Embark, Moak previously held engineering and senior management positions at Kindred.ai and Clear Blue Technologies.
Authors: Dotan Horovits

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OpenTelemetry is a new open-source project that aims to provide a single set of APIs, libraries, agents, and collector services to capture distributed traces, metrics, and logs.
  • OpenTelemetry supports metric pipelines and has Prometheus support.
  • The auto collector has receivers and exporters in Prometheus formats.
  • OpenTelemetry is working on adding logging support.
  • The API is still in draft, but the focus is on getting a specification for a strongly typed and machine-readable format for logs.
  • OpenTelemetry has a new working group for client instrumentation.
  • The OpenTelemetry collector supports the Prometheus format, and you can use Prometheus as a back-end.
  • The future of OpenTelemetry includes making the operational side easier and adding more signals beyond logs, metrics, and tracing.
Authors: Anurag Gupta, Eduardo Silva

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The presentation discusses the importance of community feedback in the development of Fluent Bit and the investment in ensuring memory safety and testing. It also highlights the integration of logs, metrics, and traces in the Fluent Bit ecosystem.
  • Community feedback is crucial in the development of Fluent Bit, and most of the features are a result of feedback from users.
  • Investment in ensuring memory safety and testing is a priority, with a focus on CI/CD regression checks and sanitization.
  • Fluent Bit has been extended to include metrics and traces, with a focus on making it easier for users to integrate with other ecosystems.
  • Logs are unstructured data that can be processed and filtered to reduce data or send it to multiple locations.
  • Metrics are important for monitoring and analyzing data, and Fluent Bit has its own way of monitoring and ingesting metrics.
  • Fluent Bit metrics can be exposed over Prometheus or ingested as part of the pipeline.
  • Traces are also important for debugging and troubleshooting, and Fluent Bit has been extended to include traces.
Authors: Brian Glas

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The presentation discusses the process of creating the OWASP Top 10 2021 and the core principles that guided the selection of the top 10 risk categories.
  • The OWASP Top 10 is a baseline for software security and not a ceiling.
  • Data is important but has limitations as it reflects the past and not necessarily the present.
  • Stability is crucial in the selection of the top 10 risk categories to provide foundational stability for others to build on.
  • The goal is to raise the minimum bar and improve security across the industry and community.
  • Driving the right behavior is important to improve software security across the industry.
  • Root cause analysis is important in identifying and addressing software security issues.
  • The OWASP Top 10 2021 was created through a process of data collection, survey, data analysis, categorization, drafts, reviews, and the released product.