Apache Camel
awscli-local
Apache Camel | awscli-local | |
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22 | 6 | |
5,331 | 1,003 | |
1.0% | 2.5% | |
10.0 | 4.0 | |
7 days ago | 7 days ago | |
Java | Python | |
Apache License 2.0 | Apache License 2.0 |
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Apache Camel
- Show HN: Winglang – a new Cloud-Oriented programming language
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Ask HN: What is the correct way to deal with pipelines?
"correct" is a value judgement that depends on lots of different things. Only you can decide which tool is correct. Here are some ideas:
- https://camel.apache.org/
- https://www.windmill.dev/
- https://github.com/huginn/huginn
Your idea about a queue (in redis, or postgres, or sqlite, etc) is also totally valid. These off-the-shelf tools I listed probably wouldn't give you a huge advantage IMO.
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Is there something like airflow but written in Scala/Java?
Apache Camel Apache Nifi Spring Cloud
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Why messaging is much better than REST for inter-microservice communications
This reminds me more of Apache Camel[0] than other things it's being compared to.
> The process initiator puts a message on a queue, and another processor picks that up (probably on a different service, on a different host, and in different code base) - does some processing, and puts its (intermediate) result on another queue
This is almost exactly the definition of message routing (ie: Camel).
I'm a bit doubtful about the pitch because the solution is presented as enabling you to maintain synchronous style programming while achieving benefits of async processing. This just isn't true, these are fundamental tradeoffs. If you need a synchronous answer back then no amount of queuing, routing, prioritisation, etc etc will save you when the fundamental resource providing that is unavailable, and the ultimate outcome that your synchronous client now hangs indefinitely waiting for a reply message instead of erroring hard and fast is not desirable at all. If you go into this ad hoc, and build in a leaky abstraction that asynchronous things are are actually synchronous and vice versa, before you know it you are going to have unstable behaviour or even worse, deadlocks all over your system and the worst part - the true state of the system is now hidden in which messages are pending in transient message queues everywhere.
What really matters here is to fundamentally design things from the start with patterns that allow you to be very explicit about what needs to be synchronous vs async (building on principles of idempotency, immutability, coherence, to maximise the cases where async is the answer).
The notion of Apache Camel is to make all these decisions a first class elements of your framework and then to extract out the routing layer as a dedicated construct. The fact it generalises beyond message queues (treating literally anything that can provide a piece of data as a message provider) is a bonus.
[0] https://camel.apache.org/
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Can I continuously write to a CSV file with a python script while a Java application is continuously reading from it?
Since you're writing a Java app to consume this, I highly recommend Apache Camel to do the consuming of messages for it. You can trivially aim it at file systems, message queues, databases, web services and all manner of other sources to grab your data for you, and you can change your mind about what that source is, without having to rewrite most of your client code.
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S3 to S3 transform
For a simple sequential Pipeline, my goto would be Apache Camel. As soon as you want complexity its either Apache Nifi or a micro service architecture.
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🗞️ We have just released our JBang! catalog 🛍️
🐪 Apache Camel : Camel JBang, A JBang-based Camel app for easily running Camel routes.
- 7GUIs of Java/Object Oriented Design?
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System Design: Enterprise Service Bus (ESB)
Apache Camel
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Advanced: Java, JVM and general knowledge
So, my advice is this. Expand your knowledge. Pursue higher education on topics you are familiar with, but also explore topics you are not. Read documentation, but question it. I just found out about something called Apache Camel today that I am excited to read up on. Why is it better than Spring? Is it really? What's happening here? This is always what excites me as a developer and engineer. There is so much to learn.
awscli-local
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Show HN: Winglang – a new Cloud-Oriented programming language
> not really.. as soon as you need cloud resources that are not in your k8s cluster, you end up with the cloud in your development loop.
https://github.com/localstack/awscli-local
https://github.com/fsouza/fake-gcs-server
https://cloud.google.com/sdk/docs/downloads-docker
I’ve used all of these locally to great success.
Glad to hear you guys want to interop with npm. Is wing going to be a superset of js then?
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.NET and AWS S3 with LocalStack: How to develop with local S3 buckets
awslocal CLI
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Best way to get hands-on / emulate AWS?
https://localstack.cloud/ https://github.com/localstack/awscli-local
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Localstack Overview with DynamoDB
I also used awslocal as my CLI tool for interacting with my Localstack AWS environment. Assuming you already have aws cli installed, awslocal can be installed using:
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Week of Java: Part 2: Setting Up Your Local Development Environment
If you want to test your created resources, you can always use the official AWS-CLI. However I found a library called awscli-Local, which already knows the LocalStack endpoints and you can use just like the official one from AWS. I’m presenting a couple of useful commands that you might need:
- Exemplo de AWS API Gateway com Lambda pelo Terraform
What are some alternatives?
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Apache Kafka - Mirror of Apache Kafka
httpie - 🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
Apache Pulsar - Apache Pulsar - distributed pub-sub messaging system
PostgreSQL - Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
Apache ActiveMQ Artemis - Mirror of Apache ActiveMQ Artemis
serverless-localstack - Serverless Plugin for running against Atalssian Localstack.
Spring Boot - Spring Boot
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.
Aeron - Efficient reliable UDP unicast, UDP multicast, and IPC message transport
psycopg2 - PostgreSQL database adapter for the Python programming language