Grafana Programming Tutorials & Engineering Articles

ClickHouse Grafana plugin 4.20 brings compact query mode, click-to-filter log investigation, guided variable and annotation editors, and OpenTelemetry dashboards

AI infrastructure spans multiple layers, from compute and networking to storage, orchestration, and applications. When performance degrades…

Physical Intelligence runs both its OLAP and OLTP workloads on ClickHouse managed Postgres and ClickHouse Cloud

Using ClickHouse for observability and wondering which interface best fits your workflows? We explore ClickStack, Grafana, and when it makes sense to use both.

Deploying an AI coding assistant in a regulated, sovereign, or source-sensitive environment, often comes with challenges. Three common issues are: the source…

Recent improvements to the OpenTelemetry Collector's Datadog receiver let teams reroute telemetry from their existing Datadog agents and SDKs to ClickStack. or any OTel destination making migrations and evaluations simpler than ever.

Learn how to send structured .NET logs directly to ClickHouse using Serilog — with full schema control, full-text search, and SQL queries over your log data.

ClickStack’s March release introduces smarter Event Deltas, AI-powered notebooks, and full SQL chart flexibility, making investigation faster and dashboards more powerful.

We see ClickHouse and Grafana as a key part of the observability experience. Here's our vision for making the plugin more powerful and easier to use.

Learn how ClickStack’s new SQL-powered charting and alerting unlock anomaly detection, rolling baselines, and advanced observability workflows directly on top of ClickHouse, without relying on external tooling.

ClickStack’s April release

A walkthrough of adding OpenTelemetry instrumentation to two ASP.NET services — an Order API and a Payment Service — and shipping traces, logs, and metrics to ClickStack, with auto-correlated signals and cross-service trace waterfalls out of the box.

What started as an internal sizing tool for ClickStack became ClickCannon: an open-source framework for stress-testing ClickHouse with realistic data and user workloads.

We scaled our internal logging platform from 19 PiB to 431 PiB and 1.59 quadrillion rows. Here’s how we rearchitected LogHouse to handle 80 GiB/s of writes while keeping queries fast and the underlying complexity invisible.

Maximizing the value of AI infrastructure demands deep visibility into GPU utilization. Yet many platform teams running AI workloads on Kubernetes operate with…

Distributed deep learning depends on fast, reliable GPU-to-GPU communication using the NVIDIA Collective Communication Library (NCCL). When training slows down…

How we built a storage system that ingests 50 million samples per second and stores 2.5 petabytes of logical time series data.

Slurm is an open source cluster management and job scheduling system for Linux. It manages job scheduling for over 65% of TOP500 systems.

A production-tested approach for moving a large-scale metrics pipeline from StatsD to OpenTelemetry and Prometheus.

In production Kubernetes environments, the difference between model requirements and GPU size creates inefficiencies. Lightweight automatic speech recognition…

How a complex, large-scale migration to an in-house observability platform led to superior tooling, consistent data, and a fundamental…

The article discusses the pg_stat_ch extension for PostgreSQL, which facilitates the export of metrics to ClickHouse.

The article discusses the NVIDIA Multi-Agent Intelligent Warehouse (MAIW), an AI command layer designed to enhance operational efficiency and supply chain intelligence in automated warehouses.

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

This article discusses the implementation of horizontal autoscaling for Retrieval-Augmented Generation (RAG) components on Kubernetes, focusing on NVIDIA's microservices architecture.

The article discusses the evolution of AI data centers into AI factories and the necessity for advanced telemetry solutions like NVIDIA Spectrum-X Ethernet to optimize AI workloads.

Shopify's 2025 Black Friday Cyber Monday (BFCM) live globe was reimagined as an interactive pinball machine running at 120fps in a browser. Built with Three.

The article discusses the deployment of secure, data-driven AI agents using NVIDIA's AI-Q Research Assistant and Enterprise RAG Blueprints on AWS.

The article introduces advanced tool use features on the Claude Developer Platform, focusing on enabling AI agents to utilize tools more efficiently.

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...

The article discusses the challenges of identifying the root cause of configuration management failures using Salt at Cloudflare, particularly when dealing with a high volume of changes across nume...

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

The article discusses building an AI agent using NVIDIA Nemotron to analyze IT tickets, focusing on extracting insights from unstructured data through advanced AI reasoning and graph databases.

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.

The article discusses how NVIDIA Dynamo can help reduce Key-Value (KV) Cache bottlenecks in large language model (LLM) inference by offloading cache data to more cost-effective storage solutions.

The article discusses the rising costs associated with observability in software engineering and proposes a shift towards open, cost-efficient architectures.

This article discusses how to instrument a Next. js application using OpenTelemetry and ClickStack, focusing on the integration of observability and analytics through ClickHouse.

Dynamo 0. 4 introduces significant enhancements for deploying large language models (LLMs) with a focus on performance, observability, and autoscaling based on service-level objectives (SLO).

The article discusses the evolution of ClickHouse's observability platform, LogHouse, as it scales beyond 100 petabytes of data.

This article discusses the challenges of extracting insights from multimodal documents and presents a solution using the NVIDIA NeMo Retriever extraction pipeline.

The article discusses NVIDIA's ITMonitron, a tool designed to enhance real-time IT incident detection by integrating various monitoring signals into actionable intelligence.

Compiler Explorer is a web-based tool that allows CUDA developers to write, compile, and run GPU kernels directly in their browser without needing a local setup.

The article discusses the introduction of new AI reference applications by NVIDIA for enhancing real-time media workflows using AI microservices.

The article discusses how NVIDIA Air Services can connect simulations with real-world data center infrastructure, enhancing capabilities and performance.

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 the NVIDIA AI Blueprint for an LLM router, which provides a cost-efficient framework for dynamically routing prompts to the most suitable large language models (LLMs).

This article discusses the horizontal autoscaling of NVIDIA NIM microservices on Kubernetes, focusing on how to set up Kubernetes Horizontal Pod Autoscaling (HPA) based on custom metrics like GPU c...

This article discusses the implementation of the Medallion architecture using ClickHouse, a powerful database management system.