惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

F
Fortinet All Blogs
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
有赞技术团队
有赞技术团队
www.infosecurity-magazine.com
www.infosecurity-magazine.com
大猫的无限游戏
大猫的无限游戏
爱范儿
爱范儿
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
T
Threatpost
V
Visual Studio Blog
Apple Machine Learning Research
Apple Machine Learning Research
博客园 - Franky
人人都是产品经理
人人都是产品经理
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
The Cloudflare Blog
N
News and Events Feed by Topic
L
Lohrmann on Cybersecurity
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
酷 壳 – CoolShell
酷 壳 – CoolShell
V
V2EX
AWS News Blog
AWS News Blog
S
SegmentFault 最新的问题
T
Tailwind CSS Blog
Hugging Face - Blog
Hugging Face - Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
Spread Privacy
Spread Privacy
J
Java Code Geeks
博客园 - 聂微东
T
Tor Project blog
宝玉的分享
宝玉的分享
博客园 - 叶小钗
Webroot Blog
Webroot Blog
博客园 - 【当耐特】
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
H
Heimdal Security Blog
Y
Y Combinator Blog
T
The Blog of Author Tim Ferriss
MongoDB | Blog
MongoDB | Blog
I
InfoQ
Security Latest
Security Latest
Martin Fowler
Martin Fowler
Hacker News: Ask HN
Hacker News: Ask HN
P
Privacy International News Feed
C
CERT Recently Published Vulnerability Notes
Latest news
Latest news
雷峰网
雷峰网
D
Darknet – Hacking Tools, Hacker News & Cyber Security
C
Cisco Blogs
H
Help Net Security
L
LINUX DO - 最新话题
L
LINUX DO - 热门话题

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
client-go Deep Dive: DeltaFIFO — The Event Queue Behind Informer
James Lee · 2026-05-19 · via DEV Community

In the previous article we saw how Reflector calls List/Watch and feeds events downstream. The immediate destination of those events is DeltaFIFO — the event queue that sits at the heart of the Informer framework.

Source: k8s.io/client-go/tools/cache/delta_fifo.go


1. What Is DeltaFIFO?

The name has two parts:

Part Meaning
FIFO First-In-First-Out queue — supports Add, Update, Delete, List, Pop operations
Delta Each entry stores not just the object, but also the type of change (Added / Updated / Deleted / Sync / Replaced)

Together, DeltaFIFO is a queue where each item carries both what changed and how it changed — giving downstream consumers the full context they need to act correctly.


2. The Data Structure

// k8s.io/client-go/tools/cache/delta_fifo.go
type DeltaFIFO struct {
    lock sync.RWMutex
    cond sync.Cond             // used to block/unblock consumers

    items map[string]Deltas    // key → list of deltas for that object
    queue []string             // ordered list of keys (FIFO ordering)

    populated              bool
    initialPopulationCount int  // tracks how many items came from the initial List

    keyFunc      KeyFunc         // computes the key for a given object
    knownObjects KeyListerGetter // reference to Indexer (for deletion detection)

    closed                bool
    emitDeltaTypeReplaced bool
}

type Deltas []Delta

type Delta struct {
    Type   DeltaType    // Added | Updated | Deleted | Replaced | Sync
    Object interface{}  // the actual Kubernetes resource object
}

Enter fullscreen mode Exit fullscreen mode

The Three Core Fields

queue: ["pod/default/nginx", "pod/default/redis", "deploy/default/app"]
          ordered slice of object keys (FIFO order)

items: {
  "pod/default/nginx":  [ {Added, PodObj_v1}, {Updated, PodObj_v2} ],
  "pod/default/redis":  [ {Deleted, PodObj_v1} ],
  "deploy/default/app": [ {Added, DeployObj_v1} ],
}
          map: key  []Delta (all pending changes for that object)

Delta: { Type: "Updated", Object: <Pod nginx v2> }
          a single change event: what happened + the object snapshot

Enter fullscreen mode Exit fullscreen mode

Visualizing the Structure

┌─────────────────────────────────────────────────────────────┐
│                        DeltaFIFO                            │
│                                                             │
│  queue (FIFO order):                                        │
│  ┌──────────────────┬──────────────────┬─────────────────┐  │
│  │ "pod/default/    │ "pod/default/    │ "deploy/default │  │
│  │  nginx"          │  redis"          │  /app"          │  │
│  └──────────────────┴──────────────────┴─────────────────┘  │
│          │                   │                  │            │
│          ▼                   ▼                  ▼            │
│  items (map):                                               │
│  ┌──────────────────┐ ┌────────────────┐ ┌──────────────┐  │
│  │ [{Added, nginx}  │ │[{Deleted,      │ │[{Added,      │  │
│  │  {Updated,nginx}]│ │  redis}]       │ │  deploy}]    │  │
│  └──────────────────┘ └────────────────┘ └──────────────┘  │
└─────────────────────────────────────────────────────────────┘

Enter fullscreen mode Exit fullscreen mode

Key design insight: queue maintains ordering (which object to process next), while items accumulates all pending deltas per object. Multiple changes to the same object are batched — but never reordered relative to other objects.


3. Producing Messages: queueActionLocked

Every time Reflector calls syncWith() (from List) or watchHandler() (from Watch), it ultimately calls queueActionLocked to enqueue an event:

func (f *DeltaFIFO) queueActionLocked(actionType DeltaType, obj interface{}) error {
    // ① Compute the object's key (e.g. "default/nginx")
    id, err := f.KeyOf(obj)
    if err != nil {
        return KeyError{obj, err}
    }

    // ② Append new Delta to the existing list for this key
    oldDeltas := f.items[id]
    newDeltas := append(oldDeltas, Delta{actionType, obj})

    // ③ Deduplicate consecutive identical events
    newDeltas = dedupDeltas(newDeltas)

    if len(newDeltas) > 0 {
        // ④ If this key is new, add it to the queue (maintain FIFO order)
        if _, exists := f.items[id]; !exists {
            f.queue = append(f.queue, id)
        }
        // ⑤ Update items map with the new delta list
        f.items[id] = newDeltas

        // ⑥ Wake up all blocked consumers
        f.cond.Broadcast()
    }
    return nil
}

Enter fullscreen mode Exit fullscreen mode

Production flow:

Reflector (r.syncWith / r.watchHandler)
     │
     ▼
queueActionLocked(actionType, obj)
     │
     ├── ① KeyOf(obj)              → compute key (e.g. "default/nginx")
     ├── ② append Delta            → add {type, obj} to existing delta list
     ├── ③ dedupDeltas()           → remove redundant consecutive events
     ├── ④ queue = append(key)     → add key to FIFO queue (if new)
     ├── ⑤ items[key] = newDeltas  → store updated delta list
     └── ⑥ cond.Broadcast()        → wake up Pop() consumers

Enter fullscreen mode Exit fullscreen mode

Delta Types

const (
    Added    DeltaType = "Added"     // object newly appeared (from Watch or initial List)
    Updated  DeltaType = "Updated"   // object was modified
    Deleted  DeltaType = "Deleted"   // object was removed
    Replaced DeltaType = "Replaced"  // full re-list replaced the object (resync)
    Sync     DeltaType = "Sync"      // periodic resync — object unchanged but re-delivered
)

Enter fullscreen mode Exit fullscreen mode

Deduplication: dedupDeltas

dedupDeltas prevents redundant back-to-back Deleted events for the same object:

Before dedup:  [{Updated, obj}, {Deleted, obj}, {Deleted, obj}]
After dedup:   [{Updated, obj}, {Deleted, obj}]

Enter fullscreen mode Exit fullscreen mode

Only the last two deltas are considered for deduplication — older history is always preserved.


4. Consuming Messages: Pop

The consumer side is driven by the Informer's internal Controller, which calls Pop() in its processLoop:

func (f *DeltaFIFO) Pop(process PopProcessFunc) (interface{}, error) {
    f.lock.Lock()
    defer f.lock.Unlock()

    for {
        // ① Block if queue is empty — wait for producer to signal
        for len(f.queue) == 0 {
            if f.closed {
                return nil, ErrFIFOClosed
            }
            f.cond.Wait()   // releases lock and sleeps until cond.Broadcast()
        }

        // ② Dequeue the first key (FIFO order)
        id := f.queue[0]
        f.queue = f.queue[1:]

        if f.initialPopulationCount > 0 {
            f.initialPopulationCount--
        }

        // ③ Retrieve and remove the delta list for this key
        item, ok := f.items[id]
        if !ok {
            continue  // key was already processed (race condition guard)
        }
        delete(f.items, id)

        // ④ Pass the delta list to the callback function (HandleDeltas)
        err := process(item)

        // ⑤ If processing failed, re-enqueue for retry
        if e, ok := err.(ErrRequeue); ok {
            f.addIfNotPresent(id, item)
            err = e.Err
        }

        return item, err
    }
}

Enter fullscreen mode Exit fullscreen mode

Consumption flow:

Controller.processLoop()
     │
     └── DeltaFIFO.Pop(HandleDeltas)
           │
           ├── ① cond.Wait()       → sleep if queue empty
           ├── ② dequeue key       → take first key from FIFO queue
           ├── ③ delete(items,id)  → remove delta list from map
           ├── ④ process(item)     → call HandleDeltas callback
           └── ⑤ on error:
                 addIfNotPresent() → re-enqueue for retry

Enter fullscreen mode Exit fullscreen mode


5. HandleDeltas: Routing Events Downstream

Once Pop() delivers a delta list to the callback, HandleDeltas routes each event to two destinations:

// k8s.io/client-go/tools/cache/shared_informer.go
func (s *sharedIndexInformer) HandleDeltas(obj interface{}) error {
    s.blockDeltas.Lock()
    defer s.blockDeltas.Unlock()

    for _, d := range obj.(Deltas) {
        switch d.Type {

        case Sync, Replaced, Added, Updated:
            if old, exists, err := s.indexer.Get(d.Object); err == nil && exists {
                // Object already in cache → Update
                s.indexer.Update(d.Object)

                isSync := (d.Type == Sync) ||
                    (d.Type == Replaced && sameResourceVersion(d.Object, old))

                // Route to ShareInformer listeners
                s.processor.distribute(updateNotification{oldObj: old, newObj: d.Object}, isSync)
            } else {
                // Object not in cache → Add
                s.indexer.Add(d.Object)
                s.processor.distribute(addNotification{newObj: d.Object}, false)
            }

        case Deleted:
            s.indexer.Delete(d.Object)
            s.processor.distribute(deleteNotification{oldObj: d.Object}, false)
        }
    }
    return nil
}

Enter fullscreen mode Exit fullscreen mode

The Two Destinations

HandleDeltas(Deltas)
     
     ├──  Indexer (local cache)
          ├── Added/Updated/Replaced/Sync  indexer.Add() or indexer.Update()
          └── Deleted                      indexer.Delete()
     
     └──  processor.distribute() (ShareInformer fan-out)
           ├── addNotification     triggers OnAdd  callbacks
           ├── updateNotification  triggers OnUpdate callbacks
           └── deleteNotification  triggers OnDelete callbacks
                      
                      
             informer.AddEventHandler(ResourceEventHandlerFuncs{
                 AddFunc:    func(obj) { workqueue.Add(key) },
                 UpdateFunc: func(old, new) { workqueue.Add(key) },
                 DeleteFunc: func(obj) { workqueue.Add(key) },
             })

Enter fullscreen mode Exit fullscreen mode


6. The Complete DeltaFIFO Lifecycle

┌─────────────────────────────────────────────────────────────────┐
│                     DeltaFIFO Lifecycle                         │
│                                                                 │
│  PRODUCER (Reflector)                                           │
│  ┌──────────────────────────────────────────────────────────┐   │
│  │  r.syncWith()      → queueActionLocked(Added, obj)       │   │
│  │  r.watchHandler()  → queueActionLocked(Updated/Deleted…) │   │
│  └──────────────────────────────────────────────────────────┘   │
│                          │ cond.Broadcast()                     │
│                          ▼                                      │
│  ┌──────────────────────────────────────────────────────────┐   │
│  │                    DeltaFIFO                             │   │
│  │  queue: [key1, key2, key3, ...]   (FIFO order)           │   │
│  │  items: {key1: [Δ,Δ], key2: [Δ], key3: [Δ,Δ,Δ]}        │   │
│  └──────────────────────────────────────────────────────────┘   │
│                          │ cond.Wait → unblock                  │
│                          ▼                                      │
│  CONSUMER (Controller.processLoop)                              │
│  ┌──────────────────────────────────────────────────────────┐   │
│  │  Pop(HandleDeltas)                                       │   │
│  │    → HandleDeltas                                        │   │
│  │        ├── Indexer.Add/Update/Delete  (local cache)      │   │
│  │        └── processor.distribute()    (event callbacks)   │   │
│  └──────────────────────────────────────────────────────────┘   │
└─────────────────────────────────────────────────────────────────┘

Enter fullscreen mode Exit fullscreen mode


7. Summary

Concept Detail
queue Ordered slice of object keys — guarantees FIFO processing order
items Map of key → []Delta — accumulates all pending changes per object
Delta {Type, Object} — carries both the change type and the full object snapshot
queueActionLocked Producer entry point — appends delta, deduplicates, signals consumers
dedupDeltas Removes redundant back-to-back Deleted events
Pop Consumer entry point — blocks when empty, dequeues FIFO, calls HandleDeltas
HandleDeltas Routes each delta to Indexer (storage) AND processor.distribute (callbacks)
cond.Broadcast/Wait Efficient producer-consumer synchronization — no busy polling

DeltaFIFO is the reliable handoff point between Reflector (producer) and the Informer's internal Controller (consumer). Its dual structure — an ordered queue for sequencing plus a map for delta accumulation — ensures that no event is lost, no object is processed out of order, and downstream consumers always receive the full change context.


Next in this series: Indexer: Fast In-Memory Resource Storage with Thread-Safe Indexing (Part 4)


Follow the series for more deep dives into Kubernetes development.