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MaGe Linux Operations
MaGe Linux Operations
Feb 18, 2026 · Databases

How to Replace Prometheus Local Storage with VictoriaMetrics for High‑Performance Long‑Term Monitoring

This guide explains why Prometheus’s local TSDB struggles at scale, compares alternative remote‑storage solutions, and provides a step‑by‑step walkthrough for deploying VictoriaMetrics (single‑node or clustered), configuring remote_write, tuning performance, handling multi‑tenant use cases, and troubleshooting common issues.

PrometheusTSDBVictoriaMetrics
0 likes · 42 min read
How to Replace Prometheus Local Storage with VictoriaMetrics for High‑Performance Long‑Term Monitoring
Aikesheng Open Source Community
Aikesheng Open Source Community
Aug 5, 2024 · Databases

Evaluating the Use of mmap in Prometheus TSDB: Advantages, Disadvantages, and Performance Implications

This article examines mmap's historical origins, its performance benefits and drawbacks, and analyzes how Prometheus' time‑series database employs memory‑mapped files, revealing why mmap does not degrade Prometheus performance despite known kernel‑level issues such as TLB misses and lock contention.

LinuxPrometheusTSDB
0 likes · 26 min read
Evaluating the Use of mmap in Prometheus TSDB: Advantages, Disadvantages, and Performance Implications
ZhongAn Tech Team
ZhongAn Tech Team
Jun 4, 2024 · Databases

Elasticsearch 8.x Performance Boosts, New Features, and Migration Guide

This article details how upgrading from Elasticsearch 5.x/2.x to 8.x dramatically improves search, aggregation, and write performance while reducing storage costs, introduces vector KNN, synthetic _source, TSDS, searchable snapshots, security enhancements, and provides migration examples and code snippets for enterprise search platforms.

Data MigrationElasticsearchHybrid Ranking
0 likes · 18 min read
Elasticsearch 8.x Performance Boosts, New Features, and Migration Guide
Qunar Tech Salon
Qunar Tech Salon
Nov 22, 2023 · Operations

Optimizing Qunar's Monitoring System for Faster Fault Detection and Root‑Cause Analysis

This article details Qunar's comprehensive overhaul of its monitoring platform—introducing second‑level metrics, redesigning storage with VictoriaMetrics, optimizing client and server data collection, and building a root‑cause analysis tool—to dramatically reduce order‑related fault discovery time from minutes to under one minute.

MicroservicesOperationsTSDB
0 likes · 22 min read
Optimizing Qunar's Monitoring System for Faster Fault Detection and Root‑Cause Analysis
Didi Tech
Didi Tech
Sep 26, 2023 · Databases

Didi's Time Series Storage Evolution: From InfluxDB to VictoriaMetrics

Facing exponential growth of time‑series data from 2017 to 2023, Didi migrated from InfluxDB to RRDtool, then to an in‑memory cache layer, and finally adopted VictoriaMetrics because its low‑cost commodity‑hardware operation, high write throughput, strong compression, and easy horizontal scaling solved the earlier storage, OOM, and scalability problems.

ObservabilityPerformance EvaluationTSDB
0 likes · 13 min read
Didi's Time Series Storage Evolution: From InfluxDB to VictoriaMetrics
Top Architect
Top Architect
Mar 8, 2023 · Databases

Deep Dive into Prometheus V2 Storage Engine and Query Process

This article explains the internal storage layout, on‑disk and in‑memory data structures, and the query execution flow of Prometheus V2, illustrating how blocks, chunks, WAL, indexes and postings are organized and accessed to serve time‑series queries efficiently.

GoPrometheusStorage Engine
0 likes · 15 min read
Deep Dive into Prometheus V2 Storage Engine and Query Process
dbaplus Community
dbaplus Community
Sep 26, 2022 · Backend Development

How Ctrip Replaced HBase with VictoriaMetrics & ClickHouse for Scalable Metrics Monitoring

Ctrip’s internal Dashboard monitoring platform, originally built on HBase, was redesigned by migrating its core writer and storage components to a hybrid VictoriaMetrics‑ClickHouse solution, delivering faster queries, higher write stability, and full Prometheus compatibility while keeping the user experience unchanged.

ClickHouseDashboardHBase
0 likes · 13 min read
How Ctrip Replaced HBase with VictoriaMetrics & ClickHouse for Scalable Metrics Monitoring
ITPUB
ITPUB
Aug 29, 2022 · Backend Development

How Ctrip Replaced HBase with VictoriaMetrics & ClickHouse for Scalable Metrics Monitoring

This article details Ctrip's internal Dashboard monitoring platform, explains why its HBase‑based TSDB became a bottleneck, and describes the step‑by‑step migration to a hybrid VictoriaMetrics‑ClickHouse solution with upgraded writers, unified query APIs, performance gains, and future roadmap.

ClickHouseHBaseMetrics
0 likes · 13 min read
How Ctrip Replaced HBase with VictoriaMetrics & ClickHouse for Scalable Metrics Monitoring
Open Source Linux
Open Source Linux
Apr 6, 2022 · Cloud Native

Why Prometheus’s TSDB Makes Monitoring Scalable: A Deep Dive

This article explains how Prometheus’s time‑series database handles massive monitoring data, from basic concepts and query examples to storage engine design, indexing strategies, and powerful data computation techniques such as recording rules.

PrometheusTSDBTime Series
0 likes · 8 min read
Why Prometheus’s TSDB Makes Monitoring Scalable: A Deep Dive
Efficient Ops
Efficient Ops
Mar 10, 2022 · Operations

Why Prometheus’s TSDB Makes Monitoring Scalable: A Deep Dive

This article explains how Prometheus transforms raw monitoring data into actionable insights by using a time‑series database (TSDB) that efficiently stores massive metric streams, supports powerful queries, and enables pre‑computed calculations for fast dashboards and alerts.

PrometheusTSDBTimeSeries
0 likes · 7 min read
Why Prometheus’s TSDB Makes Monitoring Scalable: A Deep Dive
Ctrip Technology
Ctrip Technology
Feb 17, 2022 · Operations

Evolution and Architecture of the Hickwall Enterprise Monitoring Platform

The article details the background, challenges, multi‑year evolution, current architecture, and future roadmap of Hickwall, Ctrip's enterprise‑grade monitoring and observability platform, covering metrics, logs, traces, high‑cardinality handling, cloud‑native integration, alert governance, and storage engine migrations.

AlertingObservabilityOperations
0 likes · 15 min read
Evolution and Architecture of the Hickwall Enterprise Monitoring Platform
MaGe Linux Operations
MaGe Linux Operations
Sep 18, 2021 · Operations

Why Prometheus’s TSDB Makes Massive Monitoring Data Manageable

The article explains how Prometheus, a data‑driven monitoring system, handles massive time‑series data using its TSDB storage engine, detailing concepts, query examples, storage characteristics, indexing mechanisms, and the benefits of pre‑computing rules for efficient monitoring at scale.

PrometheusTSDBTime Series
0 likes · 8 min read
Why Prometheus’s TSDB Makes Massive Monitoring Data Manageable
Efficient Ops
Efficient Ops
Sep 5, 2021 · Operations

Why Prometheus’s TSDB Makes Monitoring Scalable: A Deep Dive

This article explains how Prometheus’s time‑series database handles massive monitoring data, illustrates practical query examples, and shows why its storage engine and pre‑computation features enable efficient, high‑performance observability for large‑scale services.

ObservabilityPrometheusTSDB
0 likes · 8 min read
Why Prometheus’s TSDB Makes Monitoring Scalable: A Deep Dive
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
MaGe Linux Operations
MaGe Linux Operations
Apr 18, 2021 · Operations

Why Prometheus’s TSDB Makes Massive Monitoring Feasible

This article explains how Prometheus turns complex monitoring into manageable tasks by introducing its core concepts, daily query examples, the advantages of its TSDB storage engine, and powerful data computation techniques that enable efficient large‑scale time‑series analysis.

PrometheusQueriesStorage Engine
0 likes · 7 min read
Why Prometheus’s TSDB Makes Massive Monitoring Feasible
Efficient Ops
Efficient Ops
Jan 11, 2021 · Operations

Unlocking Prometheus: How TSDB Powers Scalable Monitoring and Fast Queries

This article demystifies Prometheus by explaining its core concepts, daily monitoring queries, the role of its TSDB storage engine, how series, label, and time indexes enable fast time‑series queries, and how pre‑computed recording rules boost performance for dashboards and alerts.

ObservabilityPrometheusTSDB
0 likes · 8 min read
Unlocking Prometheus: How TSDB Powers Scalable Monitoring and Fast Queries
System Architect Go
System Architect Go
Oct 25, 2019 · Databases

Understanding InfluxDB: Core Concepts, Architecture, and Design Trade‑offs of a Time‑Series Database

This article explains the fundamentals of time‑series databases, introduces InfluxDB’s key components such as databases, measurements, retention policies, tags, fields, series, and points, describes the line protocol syntax, compares it with traditional databases, and outlines the design trade‑offs that shape its performance and limitations.

Database designInfluxDBLine Protocol
0 likes · 10 min read
Understanding InfluxDB: Core Concepts, Architecture, and Design Trade‑offs of a Time‑Series Database
dbaplus Community
dbaplus Community
Jul 17, 2019 · Databases

Rethinking Prometheus TSDB: From V2 Bottlenecks to the Scalable V3 Design

This article examines the limitations of Prometheus's original V2 time‑series storage, proposes a block‑oriented V3 architecture that tackles series churn, write amplification, and indexing inefficiencies, and validates the new design with extensive benchmarks showing dramatic reductions in memory, CPU, and disk usage.

KubernetesPrometheusTSDB
0 likes · 36 min read
Rethinking Prometheus TSDB: From V2 Bottlenecks to the Scalable V3 Design
Efficient Ops
Efficient Ops
Jun 20, 2019 · Operations

How Baidu’s Noah TSDB Handles Capacity Management at Scale

This article explains how Baidu’s Noah time‑series database measures, plans, and protects capacity, detailing throughput metrics, estimation and load‑testing methods, and a water‑level model that drives reliable scaling and overload mitigation for massive monitoring workloads.

Load TestingTSDBcapacity management
0 likes · 11 min read
How Baidu’s Noah TSDB Handles Capacity Management at Scale
dbaplus Community
dbaplus Community
Apr 24, 2018 · Databases

Scaling Baidu’s TSDB to Trillions of Points: Elastic, High‑Performance Architecture

Baidu’s TSDB processes over 20 million data points per second per node and tens of thousands of queries per second cluster‑wide by employing a stateless read/write‑separated elastic architecture, multi‑layer storage across Redis, HBase and Hadoop, minute‑level geo‑redundant self‑healing, and a modified Gorilla compression that cuts storage by 80% with minimal CPU overhead.

Big DataTSDBTime Series Database
0 likes · 8 min read
Scaling Baidu’s TSDB to Trillions of Points: Elastic, High‑Performance Architecture