amazon-sqs-java-messaging-lib
ApacheKafka
amazon-sqs-java-messaging-lib | ApacheKafka | |
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29 | 104 | |
0 | 28 | |
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10.0 | 0.0 | |
over 2 years ago | 5 months ago | |
Apache License 2.0 | - |
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amazon-sqs-java-messaging-lib
- PubNubとIFTTTによるSMS通知システム
- PubNub 및 IFTTT를 사용한 SMS 알림 시스템
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SMS Notification System with PubNub and IFTTT
Save to SQS (i.e. save each Event to Amazon’s SQS queuing service)
- System powiadomień SMS z PubNub i IFTTT
- SMS-Benachrichtigungssystem mit PubNub und IFTTT
- Système de notification par SMS avec PubNub et IFTTT
- Wie man Ereignisse von PubNub zu RabbitMQ streamt
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Starting My AWS Certification Journey as a Certified Cloud Practitioner
Amazon SQS
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A Developer's Journal: Simplifying the Twelve-Factor App
Messaging/Queueing Systems (Amazon SQS, RabbitMQ, Beanstalkd)
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Building Mature Content Detection for Mod Tools
The last stage is productionizing the model. The goal of this phase is to create a system to process each image/video, gather the relevant features and inputs to the models, integrate the models into a hosting service, and relay the corresponding model predictions to downstream consumers like the MCF system. We used an existing Safety service, Content Classification Service, to implement the aforementioned system and added two specialized queues for our processing and various service integrations. To use the model for online, synchronous inference, we added it to Gazette, Reddit’s internal ML inference service. Once all the components were up and running, our final step was to run A/B tests on Reddit to understand the live impact on areas like user engagement before finalizing the entire detection system.
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)
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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?
90DaysOfDevOps - This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
dramatiq - A fast and reliable background task processing library for Python 3.
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
outbox-inbox-patterns - Repository to support the article "Building a Knowledge Base Service With Neo4j, Kafka, and the Outbox Pattern"
aws-stable-diffusion - How to run Stable Diffusion Automatic1111 WebUI on AWS EC2 instance
Jenkins - Jenkins automation server
sqs-consumer - Build Amazon Simple Queue Service (SQS) based applications without the boilerplate
amazon-sns-java-extended-client-lib - This AWS SNS client library allows to publish messages to SNS that exceed the 256 KB message size limit.
istio - Connect, secure, control, and observe services.
aws-lambda-java-libs - Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.
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.