PagerDuty and IronWorker Integration

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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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Evolution of development process

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Overview If you’ve followed our series on the evolution of IT, you know that we still need to talk about how the development process has changed over the years, which is where we pick up today. Improvements in the development process have shortened the time to create software and decreased fragmentation between different departments in a…

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IronWorker vs. Ruby/Rails Worker

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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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Redis RQ vs Iron.MQ: Which Service Is Better for Me?

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Overview Language: Iron.MQ is language agnostic and Redis RQ supports Python, JavaScript, Ruby and GO, along with many others. Performance: Redis RQ is quite different from Iron.MQ and other message queuing services because it is not purely a message queuing system. Because of its in-memory database, it is best for real-time messages where persistence isn’t…

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Iron.MQ vs Firebase Cloud Messaging (FCM): What’s the Difference?

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Overview Language: Firebase Cloud Messaging makes use of Java, Kotlin, XML, C, C++, SQLite in terms of languages and databases while Iron.MQ is language-agnostic. Performance: Firebase Cloud Messaging replaced Google Cloud Messaging in 2018 as an upgraded version that offers users a seamless and modern experience. To achieve this feat, they added a plethora of…

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What Is FaaS?

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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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IronWorker vs. Dynos

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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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IronWorker vs. Sidekiq

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Overview Architecture: IronWorker is a server-less on-demand task processing solution for managing container-based workloads. Sidekiq is a background processing tool that handles various jobs at the same time. Language: IronWorker is “language agnostic.” It runs in a multi-language containerized environment. Sidekiq runs on Ruby. Scalability: IronWorker is a lot easier to scale than Sidekiq. Price: IronWorker…

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Iron.mq vs Amazon SQS: What’s the Difference?

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Overview Language: Amazon SQS is compatible with Java, Ruby, Python, .NET, PHP, JavaScript and Java Message Service (JMS) but Iron.mq supports all major coding languages. Performance: Amazon SQS is easier to use for beginners while Iron.mq is a developer friendly option and performs more consistently. Scalability: Iron.mq is highly scalable because it runs on top…

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Apache Kafka vs IronMQ: What’s Best For Your Business?

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Overview Enterprise messaging systems connect business applications for ease in sharing data. Apache Kafka is an open-source solution boasting high performance and works well with big data. IronMQ is a reliable cloud-based system with many features and flexible deployment options. Kafka falls flat with ease of use and simplicity compared to IronMQ While both systems…

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