amazon-sqs-java-messaging-lib
serverless-application-model
amazon-sqs-java-messaging-lib | serverless-application-model | |
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29 | 98 | |
0 | 9,241 | |
- | 0.2% | |
10.0 | 9.2 | |
over 2 years ago | 2 days ago | |
Python | ||
Apache License 2.0 | 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.
serverless-application-model
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Simple and Cost-Effective Testing Using Functions
The complete solution with SAM is available here.
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Deploying a Serverless Dash App with AWS SAM and Lambda
There are many options to deploy Serverless Applications in AWS and one of them is SAM, the Serverless Application Model. I chose to use it here, because it doesn't add too many layers of abstraction between what's being deployed and the code we write and our infrastructure is quite simple.
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Serverless Apache Zeppelin on AWS
The solution uses AWS SAM with the global configuration for Lambda functions and the public API you can use to access Apache Zeppelin. The stack deployment provides the URL as an output value.
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Using design patterns in AWS Lambda
When you combine this with the AWS Serverless Application Model you can also very easily include your dependencies. Or use a compiled language like golang for your Lambda functions. You simply run sam build before you run the aws cloudformation package and aws cloudformation deploy commands. SAM will build the binary and update the template to point to the newly built binary. Package will then upload it to S3 and replace the local reference to the S3 location. Deploy can then create or update the stack or you can use the CloudFormation integration in CodePipeline.
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Serverless Site Health Check Notification System
I'm a big fan of using an Infrastructure as Code (IaC) approach for any project. My go to tools for this are the Servlerless Application Model (SAM) and it's associated CLI (SAM CLI). For more official use cases and for cross platform apps I typically use Terraform.
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Starting My AWS Certification Journey as a Certified Cloud Practitioner
AWS SAM
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API Gateway, Lambda, DynamoDB and Rust
Kicking off the tour and not starting a war, but I'm going to be using the Serverless Application Model.
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Consuming an SQS Event with Lambda and Rust
The diagram here is super simple. I'm going to write something a little later that shows how this code could fit into a bigger workflow, but for now, I'm keeping it basic. And yes, that's the SAM Squirrel in there.
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AWS Data Engineer Associate Certification - Coming Soon
Interestingly, AWS CDK and SAM are both explicitly mentioned. While CDK broadly addresses Infrastructure as Code, SAM is highlighted for its role in developing serverless data pipelines - a hugely underrated concept.
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A Beginner's Guide to the Serverless Application Model (SAM)
Naturally, there are several options available to declare your cloud resources. The options with the most popularity are the CDK, AWS CloudFormation, SST, Serverless framework, Terraform, and AWS SAM. There are others, but when talking about Infrastructure as Code (IaC), these are the ones you hear about most often.
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.
aws-elastic-beanstalk-cli - The EB CLI is a command line interface for Elastic Beanstalk that provides interactive commands that simplify creating, updating and monitoring environments from a local repository.
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
aws-stable-diffusion - How to run Stable Diffusion Automatic1111 WebUI on AWS EC2 instance
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
sqs-consumer - Build Amazon Simple Queue Service (SQS) based applications without the boilerplate
sst-start-demo - A simple SST app to demo the new `sst start` command
ApacheKafka - A curated re-sources list for awesome Apache Kafka
openvscode-server - Run upstream VS Code on a remote machine with access through a modern web browser from any device, anywhere.
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.
aws-sam-cli - CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM