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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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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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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VMs vs. Docker vs. Kubernetes

Many organizations adopt open-source libraries to power their systems. This has led to embracing various operating systems such as Windows and Linux distributions to meet their technical needs.    These diverse ecosystems allow users to access the latest technologies and benefit from wide community support at lower costs. As the operating environments have become varied,…

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Heroku vs Docker: Which is Best for Developers?

Heroku and Docker are both container-based development environments, ideal for developers to deploy applications without needing the resources required for virtual machines or physical servers. Containers are flexible, scalable, and because they contain a kernel of the operating system in each container, work seamlessly across a range of devices. But how do developers know which development environment is best for them?…

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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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Docker vs. AWS AMI: What's the Difference?

Docker and AWS AMI are two terms you might come across in application development. What are the differences between them? A simple explanation: Docker is an open-source platform that develops and runs applications. An Amazon Machine Image (AMI) is a supported Linux image provided by Amazon Web Services (AWS.) In short, open-source platform vs. Linux image. The differences run much deeper than this. Read on to learn the variations between Docker vs. AWS AMI.…

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