
Explore setting up and observing a service mesh platform using Consul Connect, focusing on effective monitoring through metrics, logs, and traces with Prometheus, Loki, Tempo, and Grafana.

Explore interactive data visualization web apps using Dash, a Python framework that eliminates the need for JavaScript. Learn best practices, pitfalls, and when to transition to traditional web development.

Hands-on lab exploring observability tools for cloud-native applications. Install and use Prometheus, Grafana, and Jaeger to monitor Kubernetes clusters and instrument microservices for improved troubleshooting and diagnostics.

Explore correct approaches to calculating latency SLOs using histograms and mathematically accurate quantiles, improving service level objectives for more effective monitoring and performance management.

Explore a framework enhancing Differential Privacy usability, allowing practitioners to visualize privacy-utility trade-offs and simplify complex concepts for better implementation and understanding.

Practical tips for SREs to enhance data visualization in dashboards, drawing inspiration from historical figures and avoiding common pitfalls to improve information density and credibility.

Explore ELK stack's potential for hackers: learn to leverage Elasticsearch, Logstash, and Kibana for efficient log analysis, data visualization, and enhanced security insights.

Discover the art of data storytelling with three key takeaways: first principles thinking, talking headers, and fairytale magic. Learn to craft memorable narratives that bring data to life.

Discover how to transform complex data into compelling narratives, enhancing business communication and decision-making through effective data storytelling techniques.

Explore advanced observability using the LGTM stack (Loki, Grafana, Tempo, Mimir). Learn how it integrates with OpenTelemetry to enhance monitoring and tracing for high-performance systems.

Explore data visualization, processing, and machine learning using Apache Zeppelin's interactive notebooks. Learn to ingest, discover, analyze, and visualize data with multiple backends, including Spark and JDBC.

Explore real-time data processing for environmental monitoring at Europe's largest port, combining diverse sources to create actionable insights and support sustainability goals.

Explore Twitter's performance optimization using Graal and machine learning, focusing on autotuning inlining parameters to reduce datacenter costs and improve efficiency.

Learn to build a music recommendation system using machine learning, exploring algorithms like K-means, SVM, and neural networks with Spotify's API, Keras, and Sklearn.

Explore graph databases: transform applications with connected data models. Learn creation, querying, and visualization techniques. Discover Cypher language basics and practical tools for interfacing with graph databases.

Explore streaming data visualization techniques, from traditional approaches to dedicated solutions. Learn architecture blueprints and tools for real-time data analysis and presentation.

Explore sensor-based measurement and visualization of workplace hardness, covering physical constraints, environment, and work rhythms using Arduino, MQTT, and data analysis tools.

Explore Istio service mesh for debugging, monitoring, and deploying microservices. Learn to use Service Graph, Prometheus, Grafana, and traffic mirroring for effective problem-solving and blue-green deployment.

Explore real-time data streaming and analysis in Formula 1 racing using Apache Kafka, Spark, and Drill. Learn how to capture, process, and visualize high-volume automotive data for performance insights.

Learn to enhance app UX using a unified model for batch and stream processing. Explore Dataflow's capabilities through a real-time demo, gaining practical insights on managing and visualizing data streams.

Learn to create beautiful, interactive data visualizations using D3.js v4. Explore key concepts, APIs, and advanced features like animations, diagrams, and geo/gis for minimal-code, impactful web-based visualizations.