n0rdy-blog-code-samples
ApacheKafka
n0rdy-blog-code-samples | ApacheKafka | |
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4 | 104 | |
4 | 28 | |
- | - | |
5.8 | 0.0 | |
about 2 months ago | 5 months ago | |
Go | ||
GNU Affero General Public License v3.0 | - |
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n0rdy-blog-code-samples
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JWT, JWS, JWE and how to cook them
All the code examples are available here. If you run this code, you'll see the same JSON printed to the terminal as above.
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Understanding CORS
You can find it in this GitHub repo.
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Go concurrency simplified. Part 4: Post office as a data pipeline
The next step should be to replace the slice with a channel to define the customers' queue. But how should we get the customers to put in that channel? Another good question, you are on fire today! We need a function to generate random customers and, ideally, with random waiting to make it more realistic, as customers come to the post office at a different frequency. For that, I asked ChatGPT to generate a list of 50 random names and 50 random Xmas presents that fit into the postal package. I won't provide these lists here to save space, but feel free to check them out on a GitHub repo. Once we have it, the rest of the generator code is trivial:
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Go concurrency simplified. Part 1: Channels and goroutines
This and other code examples are available in this GitHub repo.
ApacheKafka
- PubNubとIFTTTによるSMS通知システム
- PubNub 및 IFTTT를 사용한 SMS 알림 시스템
- Système de notification par SMS avec PubNub et IFTTT
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Wie man Ereignisse von PubNub zu RabbitMQ streamt
Senden an Kafka (d. h. Senden der Daten an Apache Kafka)
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a machine's temperature exceeds a certain threshold, a streaming platform can instantly trigger an alert and engineers do timely maintenance.
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How to Use Reductstore as a Data Sink for Kafka
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time.
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🦿🛴Smarcity garbage reporting automation w/ ollama
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...)
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How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput.
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Easy Guide to Integrating Kafka: Practical Solutions for Managing Blob Data
Apache Kafka is a distributed streaming platform to share data between applications and services in real-time.
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Go concurrency simplified. Part 4: Post office as a data pipeline
also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.
What are some alternatives?
pippin - Go library to create and manage data pipelines on your machine
dramatiq - A fast and reliable background task processing library for Python 3.
flink-kubernetes-operator - Apache Flink Kubernetes Operator
outbox-inbox-patterns - Repository to support the article "Building a Knowledge Base Service With Neo4j, Kafka, and the Outbox Pattern"
Jenkins - Jenkins automation server
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
istio - Connect, secure, control, and observe services.
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
demo-scene - 👾Scripts and samples to support Confluent Demos and Talks. ⚠️Might be rough around the edges ;-) 👉For automated tutorials and QA'd code, see https://github.com/confluentinc/examples/
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
memphis - Memphis.dev is a highly scalable and effortless data streaming platform