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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. IOpipe vs Knative

IOpipe vs Knative

OverviewComparisonAlternatives

Overview

IOpipe
IOpipe
Stacks10
Followers13
Votes2
Knative
Knative
Stacks86
Followers342
Votes21
GitHub Stars5.9K
Forks1.2K

IOpipe vs Knative: What are the differences?

Developers describe IOpipe as "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. On the other hand, Knative is detailed as "Kubernetes-based platform for serverless workloads". 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.

IOpipe belongs to "Performance Monitoring" category of the tech stack, while Knative can be primarily classified under "Serverless / Task Processing".

Some of the features offered by IOpipe are:

  • metrics
  • tracing
  • profiling

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

  • Serving - Scale to zero, request-driven compute model
  • Build - Cloud-native source to container orchestration
  • Events - Universal subscription, delivery and management of events

Knative is an open source tool with 2.01K GitHub stars and 393 GitHub forks. Here's a link to Knative's open source repository on GitHub.

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Detailed Comparison

IOpipe
IOpipe
Knative
Knative

Develop faster with realtime errors, metrics, logs, and profiling. Operate with confidence with monitoring and tracing for AWS Lambda based Serverless applications.

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

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
Serving - Scale to zero, request-driven compute model; Build - Cloud-native source to container orchestration; Events - Universal subscription, delivery and management of events; Serverless add-on on GKE - Enable GCP managed serverless stack on Kubernetes
Statistics
GitHub Stars
-
GitHub Stars
5.9K
GitHub Forks
-
GitHub Forks
1.2K
Stacks
10
Stacks
86
Followers
13
Followers
342
Votes
2
Votes
21
Pros & Cons
Pros
  • 2
    Easy to setup, automatic tracing, and super intuitive
Pros
  • 5
    Portability
  • 4
    Autoscaling
  • 3
    Secure Eventing
  • 3
    Open source
  • 3
    On top of Kubernetes
Integrations
AWS Lambda
AWS Lambda
Slack
Slack
Java
Java
Python
Python
Node.js
Node.js
Golang
Golang
Google Kubernetes Engine
Google Kubernetes Engine

What are some alternatives to IOpipe, Knative?

New Relic

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

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

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

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

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

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

Azure Functions

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

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

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

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

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