IronWorker CaaS Worker: Celery Setup

In this article, we will tell you the steps you need to set up Celery for IronWorker. Setup Outline: Create a new Python project Write the code Run the Celery worker Queue a message Notes Pros & Cons Celery is a tasks worker in python; it can work with Redis, RabbitMQ, or other Message-Queues. To…

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Monitor ECS Applications on AWS Fargate With Datadog

Datadog and AWS Fargate together allow users to collect real-time, detailed ECS metrics about the containerized tasks they run. With Datadog Autodiscovery, you can even autodetect containerized services that use Fargate to configure the Datadog Agent for those services with no API or manual changes necessary. Iron’s serverless tools can bring you a greater level of flexibility,…

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In this article, we will tell you the steps you need to set up Azure Function for IronWorker. Setup Outline: Create Function App Create the Function Function Code Limits Costs Notes Security Pros & Cons In Azure Function, we need first to create a Function app which is the logical management and execution container for…

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IronWorker CaaS Worker: Azure Container Setup

In this article, we will tell you the steps you need to set up Azure Container for IronWorker. Setup Outline: Create Container Instance Trigger the App Limits Container Instances Costs Notes Security Pros & Cons 1. Crate Container Insurance From the top search input search for “Container instances”, and click on “Create” on the container…

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IronWorker CaaS Worker: AWS Fargate Setup

In this article, we will tell you the steps you need to set up AWS Fargate for IronWorker. Setup Outline: Store Docker Image on ECR Creating the Task Definition Create the ECS Cluster Create Task service Limits Security AWS Fargate Cost Achieve Cloud Elasticity with Iron Speak to us to find how you can achieve…

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For those who are yet unfamiliar, Google Cloud Functions is a serverless environment that is used by a wide variety of developers. It enables programmers to write simple functions and attach them to events related to their cloud infrastructure. It’s a fully managed environment, which means there is no need to allocate servers or other equipment in order for…

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Time-critical incident reports are essential for async task processing. With a tool like IronWorker, running tasks is almost always a seamless process. It all happens in the background, away from the main application framework, allowing you to get on with other aspects of your business. In most cases, you just wait for the task to finish.…

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Overview Architecture: IronWorker is an on-demand async task processing software for container-based workloads. Ruby on Rails (or Rails) is a server-side web application framework written in the programming language Ruby. Note: A “worker” on IronWorker Rails is a priority queue system that executes tasks outside of the application framework.  IronWorker is created on the Docker container…

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Overview Technological trends over the last decade have made it possible for organizations to rely on “as a service” models. Instead of purchasing software, companies can pay service providers for access to the specific tools and services that they need. FaaS, which stands for “function as a service,” provides a robust, cloud-based approach to helping…

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Overview Architecture: IronWorker is a hosted job processing solution that lets you manage container-based workloads. Dynos are isolated Linux containers in Salesforce Heroku that facilitate code based on various commands. Purpose: Use dynos to execute code for specific commands. Use IronWorker to manage and schedule these containers. Scalability: Both IronWorker and dynos scale but in different ways.…

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