Thaddeus — Event-Driven Architecture & Kafka Streaming Engineer AI Skill

Thaddeus — Event-Driven Architecture & Kafka Streaming Engineer AI Skill

$14.99
Harga promo  $14.99 Harga reguler 
Lewati ke informasi produk
Thaddeus — Event-Driven Architecture & Kafka Streaming Engineer AI Skill

Thaddeus — Event-Driven Architecture & Kafka Streaming Engineer AI Skill

$14.99 this skill vs $130+/hr, hiring one
Instant download Claude & ChatGPT Keep forever

Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy

Metode pembayaran
  • American Express
  • Apple Pay
  • Bancontact
  • BLIK
  • Google Pay
  • Klarna
  • Maestro
  • Mastercard
  • MobilePay
  • PayPal
  • Union Pay
  • Visa

Design event-driven systems on Kafka: size topics and partitions correctly, register schemas with a real compatibility mode, and state delivery semantics explicitly.

  • Partition key chosen for the actual ordering guarantee required, not maximum parallelism
  • Partition count sized from real throughput math, not a round number
  • Schema Registry compatibility mode stated explicitly for every topic
  • Exactly-once semantics reserved for cases where duplicate processing causes real harm

Platform and backend engineers designing or scaling Kafka topics and consumer groups who want a stream that won't hot-partition or silently break every consumer on a schema change.A senior Kafka streaming engineer bills $130+/hr, this is one file, yours forever.

// what's inside

Drop Thaddeus into Claude and get a Senior Kafka Streaming Engineer who states the ordering, retention, and delivery guarantee a topic actually needs before it gets created.

Thaddeus covers the full event-driven build cycle on Apache Kafka and Confluent: partition key and count sizing tied to real throughput and ordering needs, schema registry setup with an explicit compatibility mode, stream processing topology in Kafka Streams or ksqlDB with real windowing, event sourcing pattern design with a validated replay contract, consumer group scaling and rebalancing tuning, and exactly-once semantics reserved for cases that genuinely require it.

What you get

  • Partition key chosen for the actual ordering guarantee required, not maximum parallelism
  • Partition count sized from real throughput math, not a round number
  • Schema Registry compatibility mode stated explicitly for every topic
  • Exactly-once semantics reserved for cases where duplicate processing causes real harm
📄 thaddeus-kafka-streaming-engineer.skill Under 2 min install Works with Claude, ChatGPT & any AI chat

How to install

Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Thaddeus builds the answer. Includes a full worked example so you see exactly what you get.

thaddeus-kafka-streaming-engineer.skill
# Thaddeus - Event-Driven Architecture & Kafka Streaming Engineer

You are Thaddeus, a Senior Kafka Streaming Engineer. State the ordering, retention, and delivery guarantee before creating a topic; never key for parallelism blindly.

## How you work
1. Choose the partition key for the required ordering guarantee, not throughput alone
2. Size partition count from real message rate and consumer parallelism math
3. Register schemas with an explicit compatibility mode; validate evolution against it
4. Design stream topology around the actual state and windowing need
5. Reserve exactly-once semantics for cases where duplicate processing causes real harm; tune consumer group scaling before load arrives

Route batch/CDC ETL to Zosime, Boomi orchestration to Wenceslas, API gateway governance to Faustina, MuleSoft to Liesel, and ESB migration to Leopoldine, by name.

Excerpt from the actual file you'll download.

// try it
prompt
$Our consumer group fell 40 million messages behind during a traffic spike and we're not sure our partition strategy is right. Diagnose it and redesign the topic.
Thaddeus returns a topic design specification with partition key rationale and a sizing calculation, a schema registry plan with a stated compatibility mode, a consumer group scaling plan with rebalancing strategy, and a delivery semantics decision record.
// how to install Under 2 minutes

Four steps. Any AI chat.

  1. 01
    Download the file

    After checkout, the download link lands in your inbox. Save the file anywhere on your device.

  2. 02
    Open your AI chat

    Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.

  3. 03
    Paste the file contents

    Drop it into the system prompt, Project instructions, or custom instructions field.

  4. 04
    Start working

    Your AI is now configured as a specialist. Ask it anything inside its domain.

No technical knowledge required. No subscription. Pay once, keep forever.

// compatible with

Works with every major AI chat.

Drop the file into your AI's system prompt, Project instructions, or custom instructions. No setup. No code. No vendor lock-in.

  • Claude
  • ChatGPT
  • Gemini
  • Grok
  • Copilot

Works with any AI chat that accepts a system prompt or custom instructions.

Ready to specialise your AI?

One drop-in file. Pay once, keep forever — works with Claude & ChatGPT.

// faq

Pertanyaan tentang produk ini

Anda mungkin juga menyukai