ApacheKafka
memphis
Our great sponsors
ApacheKafka | memphis | |
---|---|---|
104 | 52 | |
28 | 3,149 | |
- | 1.3% | |
0.0 | 9.9 | |
5 months ago | 2 months ago | |
Go | ||
- | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
-
Wie man Ereignisse von PubNub zu RabbitMQ streamt
Senden an Kafka (d. h. Senden der Daten an Apache Kafka)
-
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.
-
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.
-
🦿🛴Smarcity garbage reporting automation w/ ollama
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...)
-
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.
-
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.
-
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.
memphis
- Memphis
-
What type of open source contributions can I make that improve my core data engineering skills? Are there any projects that require help of that nature? What are they?
Hey check out the first good issues in the Memphis.dev open source
-
I want to create beginners Data Pipeline with SQL, Python etc. Any expert suggestions on like (Tools, Processes, Sources).
Try Memphis.dev blog or you can check out Github
-
What's an ideal project structure for a Golang web service?
- https://github.com/memphisdev/memphis
-
Connect Memphis as an Argo event source
Argo is a collection of open-source tools for Kubernetes to run workflows, manage clusters, and do GitOps easily. Memphis is an open-source next-generation alternative to traditional message brokers.
-
Creating a brand new data infrastructure for a small company
I have dealt with the same problem. It depends what are the cycle intervals. If for example, it's every few minutes maybe it's worth keeping a machine on the cloud and the DB on that machine. in my opinion, it's a little bit expensive. The thing that worked for me is to run once a day a lambda function and store the data on a message broker. You should take a look at memphis.dev which is open-source and very easy to work with.
- I’m looking for a suggestion for a queuing library
-
Memphis: Low-code real-time data processing platform
Image Source
-
Memphis.dev v0.4.2
Join our 2K stargazers on Github and try Memphis out, I am sure you are going to be surprised 📷 https://github.com/memphisdev/memphis-broker
- Memphis.dev v0.2.4 is out!
What are some alternatives?
dramatiq - A fast and reliable background task processing library for Python 3.
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
outbox-inbox-patterns - Repository to support the article "Building a Knowledge Base Service With Neo4j, Kafka, and the Outbox Pattern"
Nodejs-Developer-Roadmap - A Developer Roadmap to becoming a Node.js developer in 2019
Jenkins - Jenkins automation server
kubernetes - Production-Grade Container Scheduling and Management
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
compression - Node.js compression middleware
istio - Connect, secure, control, and observe services.
v8.dev - The source code of v8.dev, the official website of the V8 project.
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.
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!