Google Cloud Functions vs IronWorker

Overview

IronWorker

Stacks39

Followers17

Votes0

Google Cloud Functions

Stacks478

Followers479

Votes25

Google Cloud Functions vs IronWorker: What are the differences?

Developers describe Google Cloud Functions as "A serverless environment to build and connect cloud services". Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running. On the other hand, IronWorker is detailed as "High-Scale Async Task Processing". IronWorker provides the muscle for modern applications by efficiently isolating the code and dependencies of individual tasks to be processed on demand. Run in a multi-language containerized environment with streamlined orchestration, IronWorker gives you the flexibility to power any task in parallel at massive scale.

Google Cloud Functions and IronWorker belong to "Serverless / Task Processing" category of the tech stack.

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CLI (Node.js)

Manual

Advice on IronWorker, Google Cloud Functions

Clifford

Software Engineer at Bidvest Advisory Services

Mar 28, 2020

Decided

Run cloud service containers instead of cloud-native services

Running containers means that your microservices are not "cooked" into a cloud provider's architecture.
Moving from one cloud to the next means that you simply spin up new instances of your containers in the new cloud using that cloud's container service.
Start redirecting your traffic to the new resources.
Turn off the containers in the cloud you migrated from.

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Detailed Comparison

IronWorker	Google Cloud Functions
IronWorker provides the muscle for modern applications by efficiently isolating the code and dependencies of individual tasks to be processed on demand. Run in a multi-language containerized environment with streamlined orchestration, IronWorker gives you the flexibility to power any task in parallel at massive scale.	Construct applications from bite-sized business logic billed to the nearest 100 milliseconds, only while your code is running
Containerized environment;High-scale processing;Flexible scheduling;Reliable and secure;Detailed monitoring and configuration;Multiple language support	-
Statistics
Stacks 39	Stacks 478
Followers 17	Followers 479
Votes 0	Votes 25
Pros & Cons
Pros 0 Ease of configuration 0 Great customer support 0 Fully on-premise deployable 0 Cloud agnostic 0 Language agnostic	Pros 7 Serverless Applications 5 Its not AWS 4 Simplicity 3 Free Tiers and Trainging 2 Simple config with GitLab CI/CD Cons 1 Node.js only 0 Blaze, pay as you go 0 Typescript Support
Integrations
No integrations available	Firebase Google Cloud Storage Stackdriver

What are some alternatives to IronWorker, Google Cloud Functions?

AWS Lambda

AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.

Azure Functions

Azure Functions is an event driven, compute-on-demand experience that extends the existing Azure application platform with capabilities to implement code triggered by events occurring in virtually any Azure or 3rd party service as well as on-premises systems.

Google Cloud Run

A managed compute platform that enables you to run stateless containers that are invocable via HTTP requests. It's serverless by abstracting away all infrastructure management.

Serverless

Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.

Knative

Knative provides a set of middleware components that are essential to build modern, source-centric, and container-based applications that can run anywhere: on premises, in the cloud, or even in a third-party data center

OpenFaaS

Serverless Functions Made Simple for Docker and Kubernetes

Nuclio

nuclio is portable across IoT devices, laptops, on-premises datacenters and cloud deployments, eliminating cloud lock-ins and enabling hybrid solutions.

Apache OpenWhisk

OpenWhisk is an open source serverless platform. It is enterprise grade and accessible to all developers thanks to its superior programming model and tooling. It powers IBM Cloud Functions, Adobe I/O Runtime, Naver, Nimbella among others.

Cloud Functions for Firebase

Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.

AWS Batch

It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted.