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Moralities of Everyday Life
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Explore developer observability as the fourth pillar of software monitoring, focusing on IDE integration, security, and enhanced debugging techniques for modern architectures.
Explore observability-driven development for efficient microservices testing. Learn about distributed tracing, trace-based testing, and how to implement ODD using Tracetest for improved integration testing.
Explore database guardrails in CI/CD, addressing common issues like slow queries and schema changes. Learn proactive strategies and tools for optimizing database performance and preventing production problems.
Explore observability techniques for AWS Lambda, including structured logs, metrics, traces, and context. Learn to implement and improve monitoring for serverless applications.
Explore GitOps and observability integration, understanding their synergy for improved software delivery and system management. Gain insights into OpenGitOps principles and practical implementation.
Explore techniques for implementing SLOs and error budgets at scale. Learn to quantify latency, measure availability, and use histograms effectively for large-scale systems and engineering teams.
Explore Falco and eBPF for application protection. Learn about runtime security, syscalls, and Falco's architecture. Discover how to implement, connect, and contribute to this powerful security tool.
Enhance API observability using API Gateway plugins. Learn about logging, metrics, and tracing with Apache APISIX, including a demo on observing ASP.NET Core Web API.
Explore ChatGPT's potential for enhancing observability in modern platforms. Learn about AI innovations, deep neural networks, and practical applications in IT operations and decision-making.
Explore Polars, a high-performance dataframe library. Learn optimized data manipulation techniques, efficient handling of types, and mastering aggregations for improved machine learning workflows.
Explore vector databases, semantic search, and machine learning models for unstructured data processing. Learn about Weaviate and see a practical demo of vector search in action.
Explore building ML-enhanced event streaming applications using Java microservices and Apache Pulsar. Learn about Pulsar's architecture, functions, and programming model through a practical coding demo.
Explore MLOps essentials: data versioning, visualizations, experiment tracking, and model registry. Learn key components and UX tips for streamlining machine learning workflows.
Explore MLOps at the edge: benefits, challenges, and real-world applications. Learn about edge computing's advantages over cloud and its synergy with AI and cloud technologies.
Explore vector embedding-powered applications in production, from search and recommendations to generative AI, agents, and memory systems. Learn implementation strategies and practical considerations.
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