IronMQ vs MQ on Ruby on Rails

Messaging systems are critical for keeping data flowing in a business. But should it run on Ruby or on Iron? Overview IronMQ and Ruby on Rails are wildly different software systems, making them difficult to compare. IronMQ is a messaging system, while Rails requires some tinkering to do the same. Rails is open-source, IronMQ is…

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worker dynos vs worker add-ons

Heroku is a cloud platform offered as a service. It lets you deploy and manage applications without worrying about the infrastructure. Heroku is a polyglot platform that supports most of the standard frameworks and languages like Python, Java, Node.js, Ruby, etc. Heroku uses the Git version control system as the primary way of deploying applications. …

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Sending emails from Heroku Apps

Almost any modern application has the function of sending emails. You can send personalized email notifications to your customers, as well as send out marketing or newsletter emails. In this case, you need a tool that makes it easy and simple. The IronMQ Heroku add-on allows you to add emails to the message queue and…

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Notifications in web apps: Mailgun and Twilio on Heroku

In web applications, sending and receiving notifications is an important feature among many functionalities. With notification features, you can quickly reach out to many people and let them be informed of major events and updates regarding your applications and products. This eventually leads to improved customer experiences and faster response time by your team members.…

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Message Queuing on Heroku

If you are looking for a way to efficiently exchange information between different services, then message queues are exactly what you need. By using message queues, you can be sure that your data will be delivered to the recipient quickly and reliably. IronMQ is the Heroku Add-on that implements message queues simple, fast and reliable.…

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Asynchronous Task Processing With Heroku

Before exploring Asynchronous Task Processing With Heroku, we must understand what Asynchronous task processing is.  Asynchronous means you can execute numerous things at once and do not have to wait for one thing to end to unblock the other. You work in sync and work on several things simultaneously.   That’s the goal of the asynchronous…

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Know All About Autoscaling On Heroku

Autoscaling is a method used to manage the traffic on the network. When the outbound traffic on average is higher or lower, in each instance, the default triggers dynamically tend to autoscale and adjust the computational resources to meet the demand – typically, the number of servers that manage the load of the application.  So,…

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Asynchronous Task Processing in Cloud

When you have an application that processes data with sizes ranging from small to large and if your system processes them one by one, there is a high chance that one of the tasks fails. This could lead to application breakage or high latency due to retry.    Imagine, you are now pushing the computing…

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Task scheduling on Heroku

Table of Contents Task Scheduling Overview Simple Job Scheduling Custom Clock Processes Clock Processes on Heroku Add-ons Language Support Advantages of Using IronMQ Task Scheduling Overview Scheduling and automating background tasks are critical components for creating and maintaining a dependable and efficient product. Yet still, it may be challenging to get started and choose when…

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Best alternative Hosted Message Queue service

What is a Message Queue? A message queue is a part of messaging processing systems that allows data interchange between independent applications and services. Message queues preserve “messages” (packets of data created by applications for consumption by other applications) in the order they are transmitted until the consuming application can process them. It allows messages…

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Background jobs on Heroku

Background jobs significantly enhance a web application’s scalability by allowing it to unload tedious or CPU-intensive activities from the front-end. This helps guarantee that the front-end can process incoming web requests quickly, minimizing the probability of performance problems caused by backlogged requests. This article discusses background jobs as an architectural model and references implementations, addons,…

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