Azure Functions vs IOpipe

Overview

Azure Functions

Stacks785

Followers705

Votes62

IOpipe

Stacks10

Followers13

Votes2

Azure Functions vs IOpipe: What are the differences?

Azure Functions: Listen and react to events across your stack. 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; IOpipe: Observability for serverless applications on AWS Lambda. Develop faster with realtime errors, metrics, logs, and profiling. Operate with confidence with monitoring and tracing for AWS Lambda based Serverless applications.

Azure Functions and IOpipe are primarily classified as "Serverless / Task Processing" and "Performance Monitoring" tools respectively.

Some of the features offered by Azure Functions are:

Easily schedule event-driven tasks across services
Expose Functions as HTTP API endpoints
Scale Functions based on customer demand

On the other hand, IOpipe provides the following key features:

metrics
tracing
profiling

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Advice on Azure Functions, IOpipe

Mark

Nov 2, 2020

Needs adviceon

Microsoft Azure

Need advice on what platform, systems and tools to use.

Evaluating whether to start a new digital business for which we will need to build a website that handles all traffic. Website only right now. May add smartphone apps later. No desktop app will ever be added. Website to serve various countries and languages. B2B and B2C type customers. Need to handle heavy traffic, be low cost, and scale well.

We are open to either build it on AWS or on Microsoft Azure.

Apologies if I'm leaving out some info. My first post. :) Thanks in advance!

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Detailed Comparison

Azure Functions	IOpipe
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.	Develop faster with realtime errors, metrics, logs, and profiling. Operate with confidence with monitoring and tracing for AWS Lambda based Serverless applications.
Easily schedule event-driven tasks across services;Expose Functions as HTTP API endpoints;Scale Functions based on customer demand;Develop how you want, using a browser-based UI or existing tools;Get continuous deployment, remote debugging, and authentication out of the box	metrics; tracing; profiling; alerts; error aggregation; logs; realtime dashboard; weekly reports; Slack integration; PagerDuty integration; monitoring; error reporting; logging; metrics; analytics; serverless functions; AWS Lambda support; Serverless Framework support
Statistics
Stacks 785	Stacks 10
Followers 705	Followers 13
Votes 62	Votes 2
Pros & Cons
Pros 14 Pay only when invoked 11 Great developer experience for C# 9 Multiple languages supported 7 Great debugging support 5 Can be used as lightweight https service Cons 1 Poor support for Linux environments 1 Sporadic server & language runtime issues 1 Not suited for long-running applications 1 No persistent (writable) file system available	Pros 2 Easy to setup, automatic tracing, and super intuitive
Integrations
Azure DevOps Java Bitbucket Node.js Microsoft Azure GitHub Visual Studio Code JavaScript Azure Cosmos DB C#	AWS Lambda Slack Java Python Node.js Golang

What are some alternatives to Azure Functions, IOpipe?

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

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.

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

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.

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Librato

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Related Comparisons

Some of the features offered by Azure Functions are:

Easily schedule event-driven tasks across services
Expose Functions as HTTP API endpoints
Scale Functions based on customer demand

On the other hand, IOpipe provides the following key features:

metrics
tracing
profiling

Azure Functions vs IOpipe