# IOpipe Reviews
**Vendor:** IOpipe  
**Category:** [Application Performance Monitoring (APM) Tools](https://www.g2.com/categories/application-performance-monitoring-apm)  
**Average Rating:** 5.0/5.0  
**Total Reviews:** 3
## About IOpipe
IOpipe is the serverless DevOps platform built for teams building and running event-driven architectures in AWS Lambda. Develop faster with realtime feedback on code updates to your serverless functions. Debug production functions faster with metrics, tracing, profiling, and search.




## IOpipe Reviews
  ### 1. Good Application

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Accounting | Small-Business (50 or fewer emp.)

**Reviewed Date:** July 28, 2023

**What do you like best about IOpipe?**

How they work, make you see how our application work

**What do you dislike about IOpipe?**

The telemetry give you some delay on application and consome a lire bit off the VM compute resource.

**What problems is IOpipe solving and how is that benefiting you?**

They allow us to monitor many type workload from our application in real time. We can see how many request and what module are been using.

  ### 2. Observability Tooling for a Serverless World

**Rating:** 5.0/5.0 stars

**Reviewed by:** Dave T. | Mid-Market (51-1000 emp.)

**Reviewed Date:** October 15, 2018

**What do you like best about IOpipe?**

When running serverless workloads in production, the ability to view the health of running functions, in real time, becomes critical. But that alone is not enough. The need for monitoring (alerts) and the power to query across function invocations looking for key metrics becomes an essential capability. 

IOpipe provides all of this and more, delivered in a slick dashboard with simple configuration options. In addition, the level of customer service we’ve experienced from the IOpipe team has been outstanding. The entire team is always readily available on Slack for any questions or issues.

**What do you dislike about IOpipe?**

We’ve been running IOpipe for almost a full year now in production and have not really come across any dislikes with the service. The value-adds seem to keep coming with each new release. 

**What problems is IOpipe solving and how is that benefiting you?**

The Realtime nature of our business requires us to always be in a position to respond quickly to our customers’ needs. The IOpipe platform provides us with the ability to instantly know when the system is having any issues and then provides the additional necessary tooling to dig deeper when needed.

  ### 3. IOpipe--a necessity for DevOps teams

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Government Administration | Enterprise (> 1000 emp.)

**Reviewed Date:** September 28, 2018

**What do you like best about IOpipe?**

The transformation of DevOps from searching through logs to near real time observability provides insight to know how AWS and the underlying code is performing.  Being able to quickly search on our custom labels and metrics allows us to determine if functions are operating at nominal levels.  The alerting gives us the safety net to warn us if fault conditions surface.  

**What do you dislike about IOpipe?**

No dislikes at this point--IOpipe continues to add features and about the time I open a discussion with a new feature they already have it in the works.  

**Recommendations to others considering IOpipe:**

Consider using the trial for a short period of time with functions that are mature/stable.  This will provide time to learn all the features of IOpipe without trying to determine if there is a bug on your side or lack of knowledge integrating with IOpipe.  

During the trial, examine your code to determine if features of IOpipe can be leveraged to reduce your code footprint.  Things like alerting during exception handling consume many lines of code and these are good candidates for IOpipe handling.  

Definitely leverage the support structure of IOpipe using Slack.  They are highly responsive and have the agility to solve problems quickly.  Their principals are actively involved with the support community and will jump in as needed to expedite a resolution.  Don't wait, just ask and you will see the rapid response provided.  

**What problems is IOpipe solving and how is that benefiting you?**

During normal DevOps you are always trying to answer questions about application performance.  Sometimes it is the code, sometimes the infrastructure.  With IOpipe we are able to monitor executing code and our test/validation scripts to quickly isolate issues.  There is no need to go searching through the various logs to find the needle in the haystack. 

One additional benefit is by leveraging the built-in logging, labeling and alerting we have been able to remove more than half of all function code that was performing a similar purpose.  This allows the functions to rightly focus on performing the task(s) without the overhead of self-watch routines to alert on certain operational conditions.  This has greatly reduced the complexity of functions, reduced overhead and reduced the financial impact of functions during runtime.   


## IOpipe Discussions
  - [What is IOpipe used for?](https://www.g2.com/discussions/what-is-iopipe-used-for)

- [View IOpipe pricing details and edition comparison](https://www.g2.com/products/iopipe/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-14+21%3A29%3A07+-0500&secure%5Bsession_id%5D=f9b245e0-ed35-4805-b225-e5dfb92f0c27&secure%5Btoken%5D=8fda1057e0c685daa7ced12da47b54950f7ec659e5a74195fb13a3fb99f5dcaf&format=llm_user)

## IOpipe Features
**Bug Reporting**
- User Reports & Feedback
- Tester Reports & Feedback
- Team Reports & Comments

**Monitoring**
- Performance Baselines
- Performance Analysis
- Performance Monitoring
- AI/ML Assistance
- Multi-System Monitoring

**Generative AI**
- AI Text Generation

**Bug Monitoring**
- Analytics
- Bug History
- Data Retention

**Response**
- Dashboards and Visualization
- Incident Alerting
- Root Cause Analysis (RCA)

**Agentic AI - IT Alerting**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

**Agentic AI - Bug Tracking**
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance

**Agentic AI - Application Performance Monitoring (APM)**
- Autonomous Task Execution
- Cross-system Integration
- Adaptive Learning
- Proactive Assistance
- Decision Making

**Performance**
- Real User Monitoring (RUM)
- Second by Second Metrics

**Functionality**
- Synthetic Monitoring
- Dynamic Transaction Mapping
- Load Balancing
- Cloud Observability

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