Observability at Scale - Running OpenTelemetry Across an Enterprise
Explore Intuit's journey in implementing large-scale observability using OpenTelemetry, Kubernetes, and Jaeger. Learn about scaling ElasticSearch, secure agent onboarding, and leveraging open-source libraries for enhanced trace data.
Deep Dive - Volcano
Explore Volcano, a batch system for Kubernetes, designed for machine learning, bioinformatics, and big data workloads. Learn its features, benefits, and integration with popular frameworks.
Introduction to NATS Streams and Services on Kubernetes
Learn to architect distributed applications using NATS Streams and Services on Kubernetes. Explore multi-region deployments, security, and tooling for efficient data flow and multi-tenancy in cloud-native environments.
A Journey of Building an Enterprise AI PaaS With Kubernetes
Explore the development of an enterprise AI PaaS using Kubernetes, focusing on unifying ML workloads, improving efficiency, and addressing production challenges in model serving and resource utilization.
TiFlash - Make TiKV 10x Faster and HTAP-able
Explore TiFlash: a columnar engine for TiKV that enables real-time analytics and HTAP scenarios, offering consistent replicas and significant performance improvements for analytical workloads.
Bring Batch Capability Into Kubernetes, Using AI and Big Data as an Example
Explore advanced scheduling features for batch workloads in Kubernetes, focusing on AI and big data applications using frameworks like TensorFlow and Spark. Learn about fair-share scheduling and the Volcano project.
Deep Dive - Fluent Bit - High Performance Log Processor
Explore Fluent Bit's high-performance log processing capabilities, architecture, and best practices for efficient data handling in distributed environments with low resource usage.
Cartography - Using Graphs to Improve and Scale Security Decision-Making
Explore Cartography, an open-source tool for visualizing and securing cloud-native assets. Learn how to improve decision-making, track changes, and understand security risks across platforms.
Supercharged Analytics for Prometheus Metrics with Spark, Presto, & Superset
Explore advanced analytics for Prometheus metrics using Spark, Presto, and Superset. Learn to perform complex queries and join metrics with Kubernetes metadata for deeper insights.
Securing Kafka with SPIFFE at TransferWise
Explore how TransferWise implemented secure, scalable Kafka communication using SPIFFE, SPIRE, and Envoy for 300+ microservices, reducing maintenance and simplifying client migration.
Scaling to Millions of ML Models to Solve the Problems of SRE and Security
Explore scaling ML models for SRE and security, using open-source technologies to improve zero trust frameworks and infrastructure diagnosis on Kubernetes and service mesh environments.
Analyzing Operational Data at Scale Using ML at Intuit
Learn how Intuit uses ML techniques to detect anomalies and identify production issues in their Kubernetes services, leveraging an Operational Data Lake for real-time analysis of infrastructure and application events.
Kubernetes and Logging - Do It Right
Explore best practices for logging in Kubernetes environments, covering data processing, metadata correlation, centralization, and reliability. Learn to implement a unified logging layer for effective data analysis.
Migration 101 - From VMs to Kubernetes
Learn to migrate apps from VMs to Kubernetes: Dockerize, create YAML specs, configure routing, perform no-downtime migration, and monitor with logging and metrics tools. Hands-on tutorial for managing hybrid environments.
Fluent Bit Updates and Stream Processing
Explore Fluent Bit's latest performance updates, multi-worker support, and SQL stream processing features for efficient data routing, filtering, and transformation in cloud-native environments.
Operating Deep Learning Pipelines Anywhere Using Kubeflow
Explore building and operating production-grade deep learning pipelines using Kubeflow, covering data preparation, storage, automation, and infrastructure management for multiple tenants.
Apache Spark on Kubernetes - A Technical Deep Dive
Explore Apache Spark's native integration with Kubernetes, including technical details, benefits, and future roadmap for large-scale data processing applications.
Building MLOps POCs and Sandbox Environments Using k3s and Argo
Explore building MLOps POCs using k3s and Argo. Learn to reduce implementation time and costs for data pipeline automation and ML workflows, with insights on lightweight Kubernetes and Edge Computing.
Real-Time Object Detection with Pravega and Flink
Explore real-time object detection using Pravega and Apache Flink, leveraging Dell EMC Streaming Data Platform and ObjectScale for enterprise-grade streaming and storage on VMware Cloud Foundation.
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.
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…