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DaTaobao Tech
DaTaobao Tech
Sep 20, 2024 · Databases

Database Technology Evolution: From Hierarchical to Vector Databases

The article chronicles the evolution of database technology from early hierarchical and network models through relational, column‑store, document, key‑value, graph, time‑series, HTAP, and finally vector databases, detailing each system’s architecture, strengths, limitations, typical uses, and future trends toward specialization, distributed cloud‑native designs, and AI‑driven applications.

HBaseHTAPInfluxDB
0 likes · 52 min read
Database Technology Evolution: From Hierarchical to Vector Databases
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Oct 27, 2023 · Databases

Corona Technical Series: Time-Series Databases in Corona

The article explains how Corona leverages three time‑series databases—InfluxDB for storing pre‑aggregated user metrics and platform health data, ClickHouse for real‑time multidimensional log analysis with aggregations, and ElasticSearch for full‑text searchable log monitoring—detailing their schema designs and query examples.

ClickHouseCoronaElasticsearch
0 likes · 19 min read
Corona Technical Series: Time-Series Databases in Corona
DevOps Cloud Academy
DevOps Cloud Academy
Apr 23, 2023 · Operations

Collecting Jenkins Pipeline Metrics with InfluxDB and Visualizing in Grafana on Kubernetes

This tutorial explains how to gather build data from Jenkins pipelines, store the metrics in InfluxDB deployed on Kubernetes, and visualize the information using Grafana dashboards, providing a complete end‑to‑end solution for continuous delivery measurement and feedback.

GrafanaInfluxDBJenkins
0 likes · 3 min read
Collecting Jenkins Pipeline Metrics with InfluxDB and Visualizing in Grafana on Kubernetes
Efficient Ops
Efficient Ops
Apr 4, 2023 · Databases

Master InfluxDB: From Basics to Advanced Queries and Retention Policies

This guide explains InfluxDB's architecture, data model, CRUD commands, measurement handling, retention policies, query syntax, time‑zone considerations, and service management, providing a comprehensive tutorial for developers working with time‑series databases.

Data insertionInfluxDBRetention Policies
0 likes · 10 min read
Master InfluxDB: From Basics to Advanced Queries and Retention Policies
Bilibili Tech
Bilibili Tech
Jan 31, 2023 · Big Data

Design and Optimization of Real-Time Data Quality Control (DQC) Platform on Bilibili's Big Data System

Bilibili redesigned its real-time data-quality control platform by replacing per-rule Flink jobs with a unified, dynamically-configured architecture that classifies Kafka topics, aggregates via InfluxDB full-table and continuous queries, mitigates data inflation, adds a high-performance proxy, and implements robust monitoring and recovery to ensure scalable, reliable data quality for its big-data services.

Big DataDQCFlink
0 likes · 22 min read
Design and Optimization of Real-Time Data Quality Control (DQC) Platform on Bilibili's Big Data System
macrozheng
macrozheng
Jan 9, 2023 · Operations

Boost Java App Performance with MyPerf4J: A Complete Monitoring Guide

This article introduces MyPerf4J, a high‑performance, low‑latency Java monitoring tool, outlines its key features, provides step‑by‑step installation and configuration instructions—including JavaAgent setup, InfluxDB and Grafana integration—and demonstrates its monitoring results, helping developers efficiently track JVM metrics.

GrafanaInfluxDBJava
0 likes · 4 min read
Boost Java App Performance with MyPerf4J: A Complete Monitoring Guide
Efficient Ops
Efficient Ops
Aug 24, 2022 · Operations

How to Visualize JMeter Performance Data with Grafana, InfluxDB, and Prometheus

This article walks through setting up real‑time performance monitoring by sending JMeter metrics to InfluxDB via Backend Listener, visualizing them in Grafana, and extending the approach to system metrics with node_exporter, Prometheus, and Grafana, covering configuration steps, code snippets, and query examples.

GrafanaInfluxDBJMeter
0 likes · 16 min read
How to Visualize JMeter Performance Data with Grafana, InfluxDB, and Prometheus
Efficient Ops
Efficient Ops
Apr 24, 2022 · Operations

Turn JMeter Test Results into Real‑Time Grafana Dashboards with InfluxDB & Prometheus

This article walks through the most common performance‑monitoring stack—JMeter, node_exporter, Prometheus, InfluxDB, and Grafana—explaining how to configure backend listeners, send metrics, store them, and build real‑time dashboards while highlighting code snippets and query examples.

DevOpsGrafanaInfluxDB
0 likes · 16 min read
Turn JMeter Test Results into Real‑Time Grafana Dashboards with InfluxDB & Prometheus
Top Architect
Top Architect
Apr 4, 2022 · Operations

Monitoring Nginx with nginx‑status, Telegraf, InfluxDB, and Grafana

This guide explains how to enable the nginx‑status module, configure Nginx to expose metrics, collect them with Telegraf, store them in InfluxDB, and visualize the data in Grafana, providing a complete end‑to‑end monitoring solution for Nginx servers.

GrafanaInfluxDBNginx
0 likes · 5 min read
Monitoring Nginx with nginx‑status, Telegraf, InfluxDB, and Grafana
Selected Java Interview Questions
Selected Java Interview Questions
Mar 17, 2022 · Operations

Monitoring Nginx with Telegraf, InfluxDB, and Grafana

After setting up an Nginx cluster, this guide explains how to enable the nginx-status module, collect metrics with Telegraf, store them in InfluxDB, and visualize the data using Grafana, providing a complete solution for real-time Nginx monitoring.

GrafanaInfluxDBNginx
0 likes · 5 min read
Monitoring Nginx with Telegraf, InfluxDB, and Grafana
Architecture Digest
Architecture Digest
Nov 12, 2021 · Operations

Performance Monitoring with JMeter, InfluxDB, Prometheus, and Grafana

This article explains how to set up end‑to‑end performance monitoring by sending JMeter metrics to InfluxDB via Backend Listener, visualizing them in Grafana, and similarly collecting system metrics with node_exporter and Prometheus, covering configuration, data storage, query examples, and practical visualization techniques.

GrafanaInfluxDBJMeter
0 likes · 16 min read
Performance Monitoring with JMeter, InfluxDB, Prometheus, and Grafana
Efficient Ops
Efficient Ops
Nov 3, 2021 · Operations

How to Visualize JMeter Performance Data with Grafana, InfluxDB, and Prometheus

This article explains step‑by‑step how to collect JMeter test metrics via Backend Listener, store them in InfluxDB, and display real‑time performance charts—including TPS, response time, and error rates—in Grafana, while also covering node_exporter integration with Prometheus for system‑level monitoring.

GrafanaInfluxDBJMeter
0 likes · 15 min read
How to Visualize JMeter Performance Data with Grafana, InfluxDB, and Prometheus
Aikesheng Open Source Community
Aikesheng Open Source Community
Sep 18, 2021 · Databases

Database Rankings, Analysis, and Book Giveaway (September 2021)

The article presents DB‑Engines' September 2021 ranking of 378 databases, analyzes trends such as the rise of domestic systems, highlights leading time‑series and key‑value databases, and announces a community book‑giving event with ten recommended database titles.

ClickHouseDB-EnginesInfluxDB
0 likes · 7 min read
Database Rankings, Analysis, and Book Giveaway (September 2021)
Baidu Geek Talk
Baidu Geek Talk
Sep 15, 2021 · Databases

DB-Engines September 2021 Database Rankings Analysis

The September 2021 DB‑Engines ranking shows longtime leaders Oracle, MySQL and Microsoft SQL Server losing hundreds of points, while MongoDB, Snowflake and ClickHouse surge in popularity, Redis and InfluxDB dominate their niches, and the report stresses that selecting a database should prioritize business needs over mere ranking.

ClickHouseDB-EnginesDatabase Rankings
0 likes · 7 min read
DB-Engines September 2021 Database Rankings Analysis
360 Quality & Efficiency
360 Quality & Efficiency
Aug 6, 2021 · Databases

Introduction to Time Series Databases and InfluxDB 2.0: Architecture, Features, Installation, and Practical Applications

This article explains what time series databases are, introduces InfluxDB as the leading TSDB, describes its TICK architecture and storage engine, provides step‑by‑step installation and configuration of InfluxDB and Telegraf, demonstrates visualization, JMeter integration, and Flux queries in Python, and highlights the rapid market growth of TSDBs.

FluxInfluxDBPython
0 likes · 11 min read
Introduction to Time Series Databases and InfluxDB 2.0: Architecture, Features, Installation, and Practical Applications
DataFunTalk
DataFunTalk
Jul 20, 2021 · Databases

Time‑Series Database Series: Trends, Design Principles, and Comparative Analysis of OpenTSDB, InfluxDB, and Apache IoTDB

This article explores the evolution and current landscape of time‑series databases, detailing design principles, storage structures such as B‑Tree, B+Tree, and LSM‑Tree, and providing an in‑depth comparison of OpenTSDB, InfluxDB, and the emerging Apache IoTDB, while also discussing practical deployment considerations and industry use cases.

Apache IoTDBB-TreeInfluxDB
0 likes · 38 min read
Time‑Series Database Series: Trends, Design Principles, and Comparative Analysis of OpenTSDB, InfluxDB, and Apache IoTDB
Efficient Ops
Efficient Ops
Jun 6, 2021 · Databases

How We Built a Scalable Database Monitoring System for Real‑Time Alerts

This article details the design and implementation of a comprehensive database monitoring platform that automatically adapts to cluster changes, aggregates host and DB metrics, offers flexible alert templates and strategies, stores data in InfluxDB, and provides customizable dashboards for real‑time insight and incident response.

Database MonitoringInfluxDBPrometheus
0 likes · 12 min read
How We Built a Scalable Database Monitoring System for Real‑Time Alerts
360 Smart Cloud
360 Smart Cloud
Apr 1, 2021 · Databases

Analyzing and Optimizing InfluxDB Performance: Indexing, Memory Usage, and Configuration

This article examines InfluxDB's in‑memory and TSI indexing, investigates queue buildup caused by asynchronous batch writes and high I/O, analyzes excessive SHR memory usage, and proposes configuration, retention policy, NUMA, and query optimizations to improve overall database performance.

DatabaseInfluxDBTSI
0 likes · 14 min read
Analyzing and Optimizing InfluxDB Performance: Indexing, Memory Usage, and Configuration
360 Tech Engineering
360 Tech Engineering
Mar 22, 2021 · Databases

Analyzing and Optimizing High Memory and Disk I/O Consumption of InfluxDB 1.8 on a Production Server

This article investigates why an InfluxDB 1.8 instance on a 32‑core, 64 GB server consumes over 58 GB of resident memory and generates heavy disk I/O, examines Go runtime memory accounting, uses system tools such as top, pmap, pprof and iostat for diagnosis, and presents configuration and runtime tweaks that reduce memory pressure and I/O load.

Disk I/OGo RuntimeInfluxDB
0 likes · 13 min read
Analyzing and Optimizing High Memory and Disk I/O Consumption of InfluxDB 1.8 on a Production Server