Stream vs. Batch - Leveraging M3 and Thanos for Real-Time Aggregation
Explore real-time aggregation approaches in M3 and Thanos for efficient monitoring of high-volume data in cloud-native applications, comparing stream and batch processing methodologies.
AIOps for CI with Kubeflow Pipelines
Explore AI4CI, an AIOps tool leveraging Kubeflow Pipelines to monitor builds, predict failures, and create interactive dashboards for improved CI/CD visibility and root cause analysis.
A Better and More Efficient ML Experience for CERN Users
Explore how CERN leverages machine learning and Kubeflow to handle massive data growth from the Large Hadron Collider, improving resource usage and integrating with site services for efficient analysis.
Data Science for Infrastructure - Observe, Understand, Automate
Explore how Pixie, an open-source observability platform, transforms telemetry data into system health signals for Kubernetes, enabling SQL injection detection and autoscaling.
How Spotify Leverages Flyte to Coordinate Financial Analytics Company-Wide
Explore Spotify's use of Flyte for financial analytics, covering MLOps/DataOps needs, best practices for ML/data apps, and how Flyte bridges technical gaps for users of varying proficiency.
Scaling Machine Learning Workflows to Big Data with Fugue
Learn to scale machine learning workflows from Pandas to distributed computing using Fugue, an open-source abstraction layer. Discover how to port Python code to Spark or Dask with minimal changes, enabling framework-agnostic and scale-agnostic data scie…
Connecting with Prometheus World - Logs and Metrics
Explore unified log and metric collection with Fluent Bit's integration of OpenMetrics and Prometheus, enhancing data management for cloud-native environments.
Deep Network Traffic Observability with Pktvisor and Prometheus
Explore deep network traffic observability using Pktvisor and Prometheus. Learn installation, configuration, metrics collection, and visualization techniques for efficient network analysis and management.
Sparse High-resolution Histograms in the Prometheus TSDB
Explore sparse high-resolution histograms in Prometheus TSDB, covering implementation, storage savings, benchmarks, and future improvements for efficient data handling and visualization.
Practical Kubernetes Monitoring with Prometheus
Learn practical Kubernetes monitoring using Prometheus, covering setup, service discovery, alerting, and advanced topics like SLOs and security. Gain insights into best practices and real-world applications on GitLab.com.
Fluid - Kubernetes Native Distributed Dataset Orchestrator and Accelerator
Explore Fluid, a Kubernetes-native solution for optimizing big data and AI applications. Learn about its architecture, features, and how it enhances performance in cloud environments.
Heterogeneous Multi-Cluster Full Mesh Communication Practice
高性能异构多Kubernetes集群网络通信方案：结合主机路由和vxlan隧道技术，实现第二层和第三层网络的高效连接，支持大数据业务跨集群访问。
Intelligent Analysis on Cloud Infrastructure With AIOps
探索AIOps在云基础设施智能分析中的应用,包括异常检测、资源预测、故障检测和根因分析,以提高云服务管理和运营效率。
Scala - The Unpredicted Lingua Franca for Data Science
Explore how Scala has become a key language for data science, offering distributed computing capabilities and integrating seamlessly with big data technologies like Apache Spark.
Metaprogramming 2.0
Explore Scala metaprogramming's evolution, current capabilities, and future prospects. Learn about Scala Meta, its applications, and improvements in macros for enhanced code analysis and manipulation.
Scala on the Move
Explore Scala's versatility in diverse projects, from music analysis to robotics and home automation, showcasing its power in data processing, web development, and hardware integration.
The Future of Scala Performance on Big Data
Explore Scala's performance improvements for big data, including new benchmarks and optimizations for datacenter workloads. Learn about advancements in Scala's efficiency for large-scale data processing.
Build a Recommender System in Apache Spark and Integrate It Using Akka
Learn to build and integrate a recommender system using Apache Spark and Akka HTTP. Discover the components of recommender systems and implement one with machine learning techniques in a practical, hands-on session.
Distributed Real Time Stream Processing - Why and How
Explore state-of-art distributed streaming frameworks, their differences, trade-offs, and use-cases. Learn how to choose between Spark Streaming, Storm, Samza, and Flink for your specific streaming needs.
Beyond Shuffling - Scaling Apache Spark
Scaling Apache Spark: best practices for large datasets, performance optimization, and efficient data processing techniques. Covers counters, key/value operations, caching, and functional transformations with Datasets.
The Future of Scala Performance on Big Data
Explore Scala's performance in big data, new benchmarks, and optimizations for datacenter computing. Gain insights into Apache Spark and real-world workload improvements.