Apache Camel
aws-cloudformation-coverage-roadmap
Apache Camel | aws-cloudformation-coverage-roadmap | |
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22 | 143 | |
5,353 | 1,093 | |
1.4% | 0.5% | |
10.0 | 3.0 | |
about 19 hours ago | about 1 month ago | |
Java | ||
Apache License 2.0 | Creative Commons Attribution Share Alike 4.0 |
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Apache Camel
- Show HN: Winglang β 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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ποΈ We have just released our JBang! catalog ποΈ
πͺ 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.
aws-cloudformation-coverage-roadmap
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Terraform vs. AWS CloudFormation
Given AWS CloudFormation is AWS's native language and service for infrastructure as code, you will likely find more official quickstarts provided by AWS in the language. In addition to this, AWS Support will probably be more capable of assisting you with issues when you need help. AWS Support is essential for large enterprises, particularly those new to the cloud or slow to adopt. These types of organizations may have a skill gap within their organization regarding their cloud skill set, and in turn, they are more likely to use AWS Enterprise Support.
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Building an Amazon Location Service Resources with AWS CDK and AWS CloudFormation
Today, I will show you how to build Amazon Location Service, which allows you to build location-based applications within your AWS environment using AWS Cloud Development Kit (AWS CDK) and AWS CloudFormation. I will also show examples of the recently popular CDK Migrate and AWS CloudFormation IaC generator.
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DevSecOps with AWS- IaC at scale - Building your own platform - Part 1
AWS CloudFormation: Speed up cloud provisioning with infrastructure as code.
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The 2024 Web Hosting Report
Infrastructure as Code (IaC) is an important part of any true hosting operation in the public cloud. Each of these platforms has their own IaC solution, e.g. AWS CloudFormation. But they also support popular open-source IaC tools like Pulumi or Terraform. A category of tools that also needs to be discussed is API gateways and other app-specific load balancers. There are applications for internal consumption, which can be called microservices if you have a lot of them. And often microservices use advanced networking options such as a service mesh instead of just the native private network offered by a VPC.
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Authorization and Amazon Verified Permissions - A New Way to Manage Permissions Part XIII: Cloudformation
Cloudformation (IaC) does not need to be introduced to anyone, plus if you read the previous blogpost, the terraform provider (CC) we used is based on Cloudformation. Moreover, you will notice a lot of similarities, after all, we are implementing the same scenario, but with a different tool.
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Generative (A)IaC in the IDE with Application Composer
AWS Application Composer launched in the AWS Console at re:Invent one year ago, and this re:Invent it expanded to the VS Code IDE as part of the AWS Toolkit - but thatβs not the only exciting part. When using App Composer in the IDE, users also get access to a generative AI partner that will help them write infrastructure as code (IaC) for all 1100+ AWS CloudFormation resources that Application Composer now supports.
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Minecraft Server on AWS
CloudFormation
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Generating cloudwatch alarms using 'metric math' via CloudFormation and Terraform.
Of course, best practices today dictate that we should be deploying our infrastructure as code, using tools such as CloudFormation or Terraform.
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Seamless Cloud Infrastructure: Integrating Terragrunt and Terraform with AWS
If you're provisioning the above resources for the first time, you'll have to either configure Terraform to use specific AWS keys as you won't have OIDC connection yet. In my case, I chose to have those pre-requesites resources in a CloudFormation template and deploy them with StackSets.
- Show HN: Winglang β a new Cloud-Oriented programming language
What are some alternatives?
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
aws-cdk - The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
Apache Kafka - Mirror of Apache Kafka
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.
Apache Pulsar - Apache Pulsar - distributed pub-sub messaging system
troposphere - troposphere - Python library to create AWS CloudFormation descriptions
Apache ActiveMQ Artemis - Mirror of Apache ActiveMQ Artemis
Pulumi - Pulumi - Infrastructure as Code in any programming language π
Spring Boot - Spring Boot
awesome-cdk - A collection of awesome things related to the AWS Cloud Development Kit (CDK)
Aeron - Efficient reliable UDP unicast, UDP multicast, and IPC message transport
serverless-application-model - The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.