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log aggregation

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Top Architect
Top Architect
Sep 14, 2024 · Operations

Centralized Log Collection with Filebeat and Graylog: Installation, Configuration, and Usage

This article explains why centralized log collection is essential for multi‑environment services, introduces Graylog as a lightweight alternative to ELK, details Filebeat's role and workflow, provides configuration examples, shows how to deploy both Filebeat and Graylog via Docker or packages, and demonstrates integration with Spring Boot and log search techniques.

DockerELKFilebeat
0 likes · 20 min read
Centralized Log Collection with Filebeat and Graylog: Installation, Configuration, and Usage
Code Ape Tech Column
Code Ape Tech Column
Apr 21, 2024 · Cloud Native

Deploying Graylog with Docker‑Compose and Integrating It into a Spring Boot Application

This tutorial explains how to deploy Graylog using Docker‑Compose for centralized log aggregation in a microservices environment and shows step‑by‑step integration of Graylog with a Spring Boot application via Logback‑GELF, including configuration, code examples, and basic log search queries.

DockerDocker ComposeGELF
0 likes · 8 min read
Deploying Graylog with Docker‑Compose and Integrating It into a Spring Boot Application
Top Architect
Top Architect
Sep 20, 2023 · Operations

Design and Implementation of a Distributed Log Service: Tianyan vs ELK

This article examines the challenges of building a high‑performance log service for distributed systems, compares the traditional ELK stack with the Tianyan platform, details Tianyan's architecture—including ingest, storage, and consumer components, SDK and Minos collection methods, high‑throughput transmission with Disruptor and Bigpipe, log retrieval, resource isolation, dynamic cleaning, and best‑practice recommendations.

BigpipeDisruptorELK
0 likes · 27 min read
Design and Implementation of a Distributed Log Service: Tianyan vs ELK
Qunar Tech Salon
Qunar Tech Salon
Apr 19, 2023 · Operations

Heimdall Exception Statistics System: Architecture, Implementation, and Practice

This article describes the design, implementation, and evolution of Heimdall, an exception‑statistics platform built on Kafka, Flink, and HBase that provides minute‑level anomaly aggregation, stack trace querying, and integration with release and alerting workflows to improve service reliability across thousands of micro‑services.

KafkaObservabilitybackend
0 likes · 14 min read
Heimdall Exception Statistics System: Architecture, Implementation, and Practice
Architecture Digest
Architecture Digest
Apr 10, 2023 · Operations

Comparison of Common Log Management Tools: Filebeat, Graylog, LogDNA, ELK, Loki, Datadog, Logstash, Fluentd, and Splunk

This article provides a detailed comparison of nine popular log management solutions—Filebeat, Graylog, LogDNA, ELK Stack, Grafana Loki, Datadog, Logstash, Fluentd, and Splunk—covering their core features, pricing models, advantages, and drawbacks to help readers choose the right tool for centralized logging.

ELKObservabilitycloud
0 likes · 13 min read
Comparison of Common Log Management Tools: Filebeat, Graylog, LogDNA, ELK, Loki, Datadog, Logstash, Fluentd, and Splunk
Efficient Ops
Efficient Ops
Mar 19, 2023 · Cloud Native

Master Real-Time Multi-Pod Logging in Kubernetes with Kubetail & Stern

This guide introduces two lightweight Kubernetes log‑tailing utilities, Kubetail and Stern, explaining their installation on various platforms, core command‑line options, and practical usage examples for aggregating and color‑coding logs from multiple pods and containers, offering a simpler alternative to heavyweight logging stacks.

Kubernetesclicloud native
0 likes · 10 min read
Master Real-Time Multi-Pod Logging in Kubernetes with Kubetail & Stern
Efficient Ops
Efficient Ops
Dec 1, 2022 · Operations

Why Choose Loki Over ELK? A Hands‑On Guide to Deploying and Using Grafana Loki

This article explains the motivations for selecting Grafana Loki instead of ELK/EFK, introduces its core concepts and features, provides step‑by‑step deployment instructions for Promtail and Loki, and demonstrates how to configure Grafana, query logs, and handle label indexing, dynamic tags, and high‑cardinality challenges.

GrafanaKubernetesLoki
0 likes · 15 min read
Why Choose Loki Over ELK? A Hands‑On Guide to Deploying and Using Grafana Loki
High Availability Architecture
High Availability Architecture
Nov 7, 2022 · Backend Development

Design and Implementation of Meituan's Logan Real-Time Log System

This article describes how Meituan built Logan, a high‑performance, end‑to‑end real‑time logging platform for mobile, web, mini‑programs and IoT, covering its background, architecture, data collection, processing, consumption, monitoring, deployment strategies, achieved results and future roadmap.

KafkaMeituanbackend architecture
0 likes · 15 min read
Design and Implementation of Meituan's Logan Real-Time Log System
Efficient Ops
Efficient Ops
Aug 7, 2022 · Operations

Master Fluentd: From Docker Logs to Structured Data Pipelines

This article explains how Fluentd works in distributed and containerized environments, walks through its core concepts of input, filter, and output plugins, and provides a step‑by‑step Docker demo that collects, filters, parses, and stores Kubernetes application logs for further analysis.

DockerKubernetesconfiguration
0 likes · 14 min read
Master Fluentd: From Docker Logs to Structured Data Pipelines
Architecture Digest
Architecture Digest
May 20, 2022 · Cloud Native

Introduction, Architecture, Deployment and Usage of Grafana Loki Log Aggregation System

This article introduces Grafana Loki, an open‑source, horizontally scalable, highly available log aggregation system optimized for Kubernetes and Prometheus, covering its core concepts, architecture, component roles, deployment steps, configuration examples, and practical usage within Grafana.

GrafanaKubernetesLoki
0 likes · 18 min read
Introduction, Architecture, Deployment and Usage of Grafana Loki Log Aggregation System
Efficient Ops
Efficient Ops
Apr 27, 2022 · Operations

Why Choose Loki Over ELK? A Practical Guide to Scalable Log Aggregation

This article explains the motivations for selecting Grafana Loki instead of traditional ELK/EFK stacks, introduces Loki's core concepts and architecture, details component roles, provides step‑by‑step deployment of Promtail and Loki, and demonstrates how to configure and query logs in Grafana while addressing label indexing, dynamic tags, high‑cardinality challenges, and query performance.

GrafanaKubernetesLoki
0 likes · 18 min read
Why Choose Loki Over ELK? A Practical Guide to Scalable Log Aggregation
IT Architects Alliance
IT Architects Alliance
Nov 11, 2021 · Operations

Design and Implementation of a TB‑Scale Log Monitoring System Using the ELK Stack

This article explains how to build a terabyte‑level log monitoring platform for micro‑service environments by unifying log collection with FileBeat, enriching observability through Elastic APM, processing streams via Kafka Streams, and visualizing metrics with Grafana and Kibana, while addressing cost‑effective filtering and retention strategies.

ELK StackGrafanaKafka Streams
0 likes · 8 min read
Design and Implementation of a TB‑Scale Log Monitoring System Using the ELK Stack
Efficient Ops
Efficient Ops
Sep 15, 2021 · Cloud Native

Why Loki Beats ELK for Cloud‑Native Log Management

This article explains the motivations behind choosing Grafana Loki over traditional ELK/EFK stacks for container‑cloud logging, detailing its lightweight design, cost advantages, simple architecture, and how its components—Distributor, Ingester, and Querier—work together to provide scalable, efficient log aggregation and querying.

KubernetesLokiObservability
0 likes · 8 min read
Why Loki Beats ELK for Cloud‑Native Log Management
Code Ape Tech Column
Code Ape Tech Column
Jul 27, 2021 · Cloud Native

Understanding Loki: Advantages, Architecture, Installation, and Query Practices

This article explains Loki's low‑index overhead, concurrent query handling, tag‑based indexing, component roles, read/write paths, step‑by‑step installation of Promtail and Loki, label matching techniques, dynamic‑tag handling, high‑cardinality concerns, and query optimization strategies for cloud‑native log aggregation.

GrafanaLokiObservability
0 likes · 13 min read
Understanding Loki: Advantages, Architecture, Installation, and Query Practices
Yuewen Technology
Yuewen Technology
Jul 16, 2021 · Operations

Mastering Log Aggregation: From LogID Generation to Powerful Analysis Tools

This article explores the challenges of log aggregation in micro‑service architectures, introduces a globally unique log identifier (logid) with its required properties, compares various logid generation schemes, and presents end‑to‑end solutions for log distribution, aggregation, and analysis using custom tools such as ylog and watcher.

Kafkadistributed systemslog aggregation
0 likes · 26 min read
Mastering Log Aggregation: From LogID Generation to Powerful Analysis Tools
Efficient Ops
Efficient Ops
May 9, 2021 · Big Data

How to Build a Billion-Scale ELK Log Platform with Filebeat, Kafka, and Elasticsearch

Learn step‑by‑step how to design and deploy a billion‑scale log collection and analysis platform using the ELK stack—Filebeat, Kafka, Logstash, Elasticsearch, and Kibana—covering architecture, configuration, installation, and best practices for high‑availability and performance.

ELKFilebeatKafka
0 likes · 14 min read
How to Build a Billion-Scale ELK Log Platform with Filebeat, Kafka, and Elasticsearch
Java Architecture Diary
Java Architecture Diary
Apr 19, 2021 · Operations

Why Loki Is the Lightweight, Scalable Log Solution You Need Over EFK

This article introduces Loki, Grafana’s lightweight, horizontally scalable log aggregation system, compares it with the EFK stack, explains Promtail, LogQL query language, alerting, and how Loki integrates with Grafana and Prometheus for unified metrics and logs, highlighting its low‑resource, cloud‑native advantages.

GrafanaLokiObservability
0 likes · 8 min read
Why Loki Is the Lightweight, Scalable Log Solution You Need Over EFK
Efficient Ops
Efficient Ops
Apr 2, 2018 · Operations

How Bilibili Revamped Its Monitoring Architecture: From Zabbix to Dapper

An in‑depth look at Bilibili’s multi‑layer monitoring overhaul, detailing the shift from a monolithic Zabbix setup to micro‑service‑based ELK, Dapper, Misaka, Traceon and Lancer systems, and how layered observability improves fault detection across business, application, and infrastructure levels.

Distributed TracingMicroservicesObservability
0 likes · 10 min read
How Bilibili Revamped Its Monitoring Architecture: From Zabbix to Dapper