plugins
ApacheKafka
plugins | ApacheKafka | |
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7 | 104 | |
16 | 28 | |
- | - | |
9.8 | 0.0 | |
2 days ago | 5 months ago | |
TypeScript | ||
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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.
plugins
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Auth0 and Amplication: Simplifying Authentication in Your Applications
Setting up Auth0 authentication in your Amplication application is easy. You can use the Auth0 plugin to add the required dependencies and configuration files to your application. The steps are as follows:
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Celebrating Hacktoberfest 2023 with Amplication
amplication/plugins
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The Complete Microservices Guide
💡 Did you know? Amplication provides a Dockerfile for containerizing your services out of the box and has a plugin to create a Helm Chart for your services to ease container orchestration.
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How to Effectively Use Caching to Improve Microservices Performance
💡Pro Tip: Amplication now offers a Redis Plugin that can help you integrate Redis into your microservices more easily than ever before.
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Serverless vs. Containers for Microservices: What should you choose?
2. Helm Charts Plugin: Amplication offers a Helm Charts plugin that simplifies the deployment of containerized microservices on Kubernetes clusters. Helm charts provide a templated approach to defining Kubernetes resources, making it easier to manage the deployment process and ensure consistency across different environments.
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The Amplication Plugin System
To illustrate this development workflow, let's look at the MySQL plugin. But first, let's review the functionality of a database connection:
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Show HN: Amplication v1.0 – open-source generator for Node.js microservices
Hello, Yuval here, founder of Amplication. I’m very excited to share with you what the Amplication team is working on.
Amplication saves engineers from undifferentiated heavy lifting in application development, while helping organizations speed up delivery, and enforcing best practices and standardization across multiple teams and developers.
Amplication accelerates the development of backend applications and microservices with high-quality code generation, streamlining and automating development while solving issues that delay production readiness.
We built Amplication so developers like us could focus on coding the parts that matter rather than get distracted by repetitive tasks and boilerplate code.
Amplication is an open-source platform that lets you easily configure your backend services, by generating a human-readable and editable TypeScript Node.js codebase. The generated code includes everything you need to start writing your business logic.
Amplication continuously generates the code based on changes in the schema and configuration, then pushes the code to a GitHub repository to allow developers to continue off and edit it further based on their needs.
Today's launch of our v1.0 also incorporates a plugin architecture that enables developers to develop their own plugins to implement best practices, code conventions, custom integrations, and virtually anything in the generated code. Developers can use plugins created by Amplication’s core team, by our community, or create their own.
We already have several plugins on our Github plugins repo -https://github.com/amplication/plugins, including support for Kafka, MySQL PostgreSQL, Passport JWT, Passport Basic authentication, and the list is growing.
We can’t wait for you to experience Amplication, please share your thoughts.
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?
amplication - 🔥🔥🔥 Open-source backend development platform. Build production-ready services without wasting time on repetitive coding.
dramatiq - A fast and reliable background task processing library for Python 3.
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
outbox-inbox-patterns - Repository to support the article "Building a Knowledge Base Service With Neo4j, Kafka, and the Outbox Pattern"
gRPC - The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
Jenkins - Jenkins automation server
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
docker - Docker - the open-source application container engine
istio - Connect, secure, control, and observe services.
aws-cloudformation-coverage-roadmap - The AWS CloudFormation Public Coverage Roadmap
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.