AWS Lambda vs. Fargate Containers | IronWorker

AWS Lambda vs. Fargate Containers | IronWorker

Docker container technology is open source, which means it’s possible to deploy your containers on a range of platforms. Both AWS Fargate and Lambda support Docker images, albeit in slightly different ways. So, how do you know which one to use?

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Google Cloud Run vs. Azure Container Instances

Google Cloud Run vs. Azure Container Instances

Deploying your container images on a serverless platform means less resource management and maintenance for you or your business. But which platform is the best? We explore Google Cloud Run and Microsoft Azure Container Instances (ACI) and discuss which cloud providers perform well with Docker images and which is the best value. Achieve Higher productivity…

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Containers vs. Serverless Computing

Containers vs. Serverless Computing

The five key differences between containerization and serverless computing: Cost — You must pay for serverless environments hosted in the cloud, whereas a container can be set up for free. However, containers have ongoing management costs, which can be expensive — even if no one is using the application. Longevity – Serverless functions live short, which also provide agility and flexibility. Containers…

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Best Lightweight PHP Message Queue

Best Lightweight PHP message queue

Messaging queues are essential components of a smooth-functioning distributed network. But some message brokers work better to link up microservices. That’s especially the case if inputs are written in PHP. A message queue is not only necessary but helps to make all processes more efficient. A lightweight message broker helps ensure your processes are not…

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How to Choose Message Queue Technology Selection

How to Choose Message Queue Technology Selection

With dozens of options for message queue technology, even experienced professionals can feel frustrated when choosing the right microservices for their needs. The perfect messaging queue for your organization will depend on unique factors, such as how much you can afford to spend and how quickly you need your apps to process requests. The following…

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New Relic and Iron.io: Unlock the Potential of Your Tools

New Relic and Iron.io: Unlock the Potential of Your Tools

New Relic makes diverse products that developers can use to build and improve application performance. The New Relic platform includes a graphical user interface with extraordinary data analytics that gives you an overhead or granular view of your infrastructure, containers, and clusters. Integrating New Relic with Iron.io gives you the opportunity to review the background…

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Librato and Iron.io: Integrations for Successful IT

Librato and Iron.io: Integrations for Successful IT

As companies adopt more technology to improve efficiency, infrastructure monitoring will become increasingly important. Librato has several tools that will help you keep a close eye on your system and solve problems when they arise. For the best results, integrate Librato with Iron.io. The combination will help your infrastructure function flawlessly by moving processes to…

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4 Reasons Why You Should Consider Going Serverless

4 Reasons Why You Should Consider Going Serverless

Introduction “Serverless” computing is a bit of a misnomer—it doesn’t actually mean that there are no servers required, just that developers don’t have to worry much about the task of provisioning them. Under this paradigm, serverless functions and applications are executed only in response to a particular event or trigger, rather than needing to run on a…

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IronMQ vs MQ on Ruby on Rails

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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Work queue with Go and IronMQ

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Work Queue with Go and IronMQ Setting up a work queue is ideal for a system where background jobs often take longer than an average HTTP request, whether they are at risk of timeout or simply eating away at efficiency. By maintaining a queue of work or tasks, new work can be pushed into the…

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