How Uber Uses Grafana

Uber Engineering details their migration from a legacy monolithic monitoring system to a modern, cloud-native observability platform for their corporate network infrastructure.

The article discusses Uber's implementation of I/O observability for its massive petabyte-scale data lake, focusing on the challenges and solutions in monitoring data access patterns across its hyb...

This article discusses the implementation of zone failure resilience in Apache Pinot at Uber, detailing strategies to ensure uninterrupted service during zone failures.

This article discusses the rebuilding of Uber's Apache Pinot™ query architecture, focusing on the transition from Neutrino to a new query system that utilizes Pinot's Multi-Stage Engine Lite Mode.

This article discusses Uber's implementation of elastic resource management on Kubernetes, focusing on enhancements made to support Ray-based job management.

Uber's blog post discusses their migration of machine learning workloads to Kubernetes using Ray, detailing the challenges faced with their previous setup and the improvements achieved with the new...

The article discusses Uber's migration of its batch data platform to the cloud, focusing on the implementation of DataMesh principles.

The article discusses Uber's efforts to improve load balancing across heterogeneous hardware, focusing on enhancing efficiency and CPU utilization for stateless services.

Cadence 1. 0 is a powerful open-source workflow orchestration platform designed for building and managing stateful services at scale.

This article discusses Uber's implementation of a local caching solution for HDFS DataNodes to optimize performance while adopting high-density HDDs.

The article discusses how Uber implemented an incremental ETL process using Apache Hudi to manage its transactional data lake.

The article discusses the Unified Action Platform (uAct) developed by Uber, aimed at consolidating various internal communication systems into a single interface for managing requests and notificat...

The article discusses how Uber has enhanced developer productivity through the implementation of DevPods, a remote development environment.

The article discusses Uber's implementation of Alluxio local caching to enhance the performance of Presto, a data analytics engine.

The article discusses Uber's Machine Learning (ML) Education Program, detailing its design, content delivery methods, and outcomes.

The article discusses how Uber's Global Scaled Solutions team transitioned from a traditional analytics architecture to a real-time analytics system using Redis, AWS Fargate, and the Dash framework.

The article discusses how Uber's Observability team optimized their M3 metrics ingestion system by forking the Go compiler, ultimately halving the latency of metrics ingestion.

The article discusses Uber's development of an in-house query engine for high cardinality time series data, addressing challenges faced in managing and querying vast amounts of metrics data.