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Description
Amazon CodeGuru is an advanced developer tool that leverages machine learning to offer insightful suggestions for enhancing code quality and pinpointing the most costly lines of code within an application. By seamlessly incorporating Amazon CodeGuru into your current software development processes, you can benefit from integrated code reviews that highlight and optimize costly code segments, ultimately leading to cost savings. Additionally, Amazon CodeGuru Profiler assists developers in identifying the most expensive lines of code, providing detailed visualizations and actionable advice for optimizing performance and reducing expenses. Furthermore, the Amazon CodeGuru Reviewer employs machine learning techniques to detect significant issues and elusive bugs during the development phase, thereby elevating the overall quality of the codebase while facilitating more efficient application development. This powerful combination of tools ensures that developers not only write better code but also maintain a focus on cost efficiency throughout the software lifecycle.
Description
Perfbase is a PHP performance monitoring and profiling tool built for developers who need to understand what their applications are actually doing at runtime.
Perfbase supports PHP 7.4 through PHP 8.5 and works across the wider PHP ecosystem, including Laravel, Symfony, WordPress, custom PHP applications, Composer-based projects, APIs, queues, workers, cron jobs, and CLI scripts.
It is not limited to a single framework or request lifecycle. Perfbase can help profile application code, framework internals, Composer packages, vendor libraries, middleware, service classes, templates, third-party SDKs, HTTP clients, background jobs, and other PHP code paths.
Many PHP debugging tools stop at framework events, database queries, logs, or manually added spans. These are useful, but they often leave a large amount of execution time unexplained. A request may take over a second, while the database only accounts for a small fraction of that time.
Perfbase helps fill that gap by capturing runtime-level PHP traces. Developers can inspect where time is being spent across methods, functions, library calls, loops, templates, middleware, queues, crons, and CLI processes.
This makes Perfbase useful for diagnosing slow requests, finding expensive functions, investigating performance regressions, profiling background jobs, understanding third-party library overhead, and deciding whether a problem should be fixed in code before scaling infrastructure.
Perfbase is designed for real-world PHP teams, including indie developers, agencies, SaaS companies, and businesses running production PHP systems.
API Access
Has API
API Access
Has API
Integrations
AWS App Mesh
AWS CodeCommit
AWS Fargate
AWS Lambda
Amazon EC2
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Bitbucket
CakePHP
CodeIgniter
Integrations
AWS App Mesh
AWS CodeCommit
AWS Fargate
AWS Lambda
Amazon EC2
Amazon EKS
Amazon Elastic Container Service (Amazon ECS)
Bitbucket
CakePHP
CodeIgniter
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/codeguru/
Vendor Details
Company Name
Perfbase
Founded
2024
Country
United Kingdom
Website
perfbase.com
Product Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Static Code Analysis
Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management
Product Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions