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Architect's Guide
Architect's Guide
Jun 6, 2023 · Backend Development

Kafka Core Concepts, Architecture, Performance Tuning, and Cluster Capacity Planning

This article provides a comprehensive overview of Kafka, covering its core value for decoupling and asynchronous processing, fundamental concepts such as producers, consumers, topics, partitions and replication, high‑performance mechanisms like zero‑copy and OS cache, detailed resource evaluation for CPU, memory, disk and network, operational tools, consumer‑group rebalance strategies, LEO/HW offsets, controller management, and delayed‑task scheduling.

BackendCluster PlanningKafka
0 likes · 29 min read
Kafka Core Concepts, Architecture, Performance Tuning, and Cluster Capacity Planning
Tencent Cloud Developer
Tencent Cloud Developer
Sep 27, 2020 · Operations

Elasticsearch Cluster Capacity Planning, Index Configuration, and Performance Optimization

This guide outlines practical capacity‑planning, index‑design, and write‑performance tuning for Tencent Cloud Elasticsearch clusters, covering compute and storage sizing, optimal shard counts, rollover strategies, bulk API settings, health monitoring, and common troubleshooting steps to ensure stable, high‑throughput search services.

Cluster PlanningElasticsearchOperations
0 likes · 19 min read
Elasticsearch Cluster Capacity Planning, Index Configuration, and Performance Optimization
Alibaba Cloud Native
Alibaba Cloud Native
Mar 6, 2020 · Cloud Native

How to Choose the Right Kubernetes Worker Nodes and Cluster Architecture on Alibaba Cloud

This article analyzes the complexities of deploying Kubernetes on Alibaba Cloud, compares bare‑metal and virtual machine worker nodes, evaluates container runtimes and security sandboxes, and provides practical guidance for selecting instance types, cluster size, multi‑cluster strategies, and serverless options.

Bare MetalCluster PlanningKubernetes
0 likes · 18 min read
How to Choose the Right Kubernetes Worker Nodes and Cluster Architecture on Alibaba Cloud
dbaplus Community
dbaplus Community
Apr 16, 2019 · Big Data

Scaling Elasticsearch for Billions of Daily Events: Cluster Planning, Routing & Hot‑Warm Tips

This article explains how to handle a real‑time OLAP monitoring platform processing 10‑12 billion daily events and 400 billion yearly records by optimizing Elasticsearch 5.3.3 through cluster planning, storage strategies, index sharding, compression, hot‑warm architecture, routing, index templates, rollover, and cross‑cluster search, providing concrete configurations and code examples.

Big DataCluster PlanningElasticsearch
0 likes · 23 min read
Scaling Elasticsearch for Billions of Daily Events: Cluster Planning, Routing & Hot‑Warm Tips