Posts Tagged ‘Background Jobs’
Configuring GPU tasks in Background Job Processors
GPUs are more than just a gamer’s ally—they’re a developer’s secret weapon. From rendering high-definition maps to crunching real-time data, configuring GPU tasks can be transformative. Curious? Let’s delve deeper into this game-changer for modern development. Table of Contents: The Basics of Background Job Processors Understanding GPU Tasks and Their Importance FAQs on GPU Task…
Read MoreRun ETL using Background Jobs Solution: A Hybrid Model
If you are a developer dealing with the complex process of data management, particularly with ETL (Extract, Transform, Load), this article is for you. We will guide you through the cases where running ETL jobs using background job solutions in a hybrid (or on-premise) model can be useful. Additionally, you will learn how IronWorker can…
Read MoreBackground 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,…
Read MorePagerDuty and IronWorker Integration
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.…
Read MoreEvery Web Application Needs a Background Processing Queue
Every web application has crucial tasks that need to run in the background. They run outside of the main web response loop, but ensure any number of critical jobs gets done to keep the web-based application running smoothly. This means end users enjoy an engaging app experience, without it grinding to a halt every time…
Read MorePython Celery Software: Pros & Cons and Reviews
Introduction Python Celery is an open-source project for implementing asynchronous task queues and job queues. If you’re looking for a good Python Celery overview, check out our article “What is Python Celery?”. But now that we’ve discussed how Python Celery works, what about the pros and cons of using Python Celery, or what real users have…
Read MoreCelery vs. IronWorker — Which One Should You Choose?
Vs 5 important differences between Celery vs. IronWorker: Language: Celery runs on Python. IronWorker is “language agnostic.” Performance: IronWorker has far more features than Celery. (It has a better UI too!) Scalability: IronWorker is, hands down, much easier to scale. Price: Celery has an open-source license (this means it’s free!), but it comes with limitations. They…
Read MoreSimple way to offload container-based background jobs
Table of Contents What are container-based background jobs? Why are container-based background jobs important to developers? Do container-based background jobs help companies scale? What is a Saas company that provides a simple easy-to-use application to offload container-based background jobs? Achieve Cloud Elasticity with Iron Speak to us to find how you can achieve cloud elasticity…
Read More3 Key Benefits to Container-Based Background Job Processing
Whether deploying applications or providing microservices, being able to get tasks done in the background without user intervention is key to operating efficiently for IT and development teams. One effective way to facilitate background job processing is with the help of containers. Container-based background job processing comes with a whole host of benefits. Here are…
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