7 Best Python Monitoring Tools 2023

There are many programming languages, and Python ranks among one of the most popular choices today because of its simplified syntax. There is a lot of emphasis on the natural language and this is why python codes are written and understood more easily when compared to codes written in other programming languages.

The popularity of Python among developers has led to the creation of many applications that run on this programming language. In fact, it is touted to be highly conducive for web and game development, AI, machine learning, training courses, and more.

Here’s our list of the Best Python Monitoring Tools:

AppOptics Python Monitoring Tool – FREE TRIAL A powerful monitoring tool that provides a unified application and infrastructure monitoring including your Python code and applications. It can also monitor all Python services and tools to give you in-depth visibility.
Site24x7 – FREE TRIAL Cloud-based monitoring tool that can stay on top of the health and performance of websites, servers, applications, and more. It is also designed to monitor Python-based applications and generate reports accordingly.
Paessler PRTG – FREE TRIAL A sensor-based monitoring system that can be used to monitor a wide range of systems, applications, and infrastructure including Python-based applications. Specifically, the sensor used for monitoring Python applications is the Python Script Advanced Sensor which comes as a part of the PRTG API.
Datadog Python Performance Monitoring and Analytics Based on the Datadog APM, it monitors application data and analyzes stack traces. Based on the monitoring results, it also generates detailed reports that come in handy for various business functions and decisions.
ManageEngine Applications Manager Provides visibility into the performance of all your applications and their components. It also ensures an excellent user experience and the option to automate your IT and DevOps processes.
New Relic One An advanced tool that helps engineers and analysts to get more out of their software, hardware, and their IT infrastructure as a whole. It supports detailed analysis, troubleshooting, and optimization to improve the overall health of your network.
Dynatrace Helps to discover and solve performance issues in your Python code and applications.

Since there are so many applications that run on Python, you also need monitoring tools that are designed to specifically monitor these applications and give you valuable information to:

Understand the normal and abnormal behavior of the python applications
Send notifications when performance metrics go below or above the established thresholds
Implement capacity planning
Understand the software and hardware changes and their impact on your application

Let's take a detailed look into what each of these tools offers to help you make an informed decision.

The Best Python Monitoring Tools

1. AppOptics Python Monitoring Tool – FREE TRIAL

AppOptics Python Monitoring Tool from SolarWinds is a powerful monitoring tool that provides a unified application and infrastructure monitoring including your Python code and applications. It can also monitor all Python services and tools to give you in-depth visibility.

Key Features

Provides complete visibility into the health and performance of all Python applications
Automates the monitoring of business-critical applications
Sends early warning notifications to minimize downtime
Scales well with your business
Creates a service map to explain the impact of dependencies on end-user performance
Identifies bugs and inefficient codes
Pinpoints the root cause of the problem
Monitors systems and applications across different infrastructure
Its intuitive dashboard helps to compare applications and infrastructure metrics
Monitors AWS and Azure services
Comes with color-coded heatmaps to give a visualization of key performance metrics
Integrates with 150+ plugins
Brings together log and trace data across applications
Sends notifications through many communication channels such as Slack and PagerDuty
Reduces MTTR
Allows you to add custom metrics where needed
Comes with out-of-the-box dashboards to maximize performance

Pros:

Offers great visualizations reflecting live and historical health metrics and resource consumption
Is easily scalable, built as a cloud service
Tracks all major resources such as CPU, memory, and network usage
Can monitor Docker, Azure, and Hyper-V platforms, offering more flexibility than competing options

Cons:

Would like to see a longer trial period

Pricing: It starts at $9.99 per host per month.
Download:
Click here for a free trial.

2. Site24x7 – FREE TRIAL

Site24x7 is a cloud-based monitoring tool that can stay on top of the health and performance of websites, servers, applications, and more. It is also designed to monitor Python-based applications and generate reports accordingly. Key Features

Monitors the speed, availability, FTPs, REST APIs, SSL/TLS certificates, web transactions, end-user experience, SOAP web services, ping servers, and more of your website applications
Provides insights across 110+ global monitoring locations
Ensures that DevOps and SysAdmins have complete visibility into critical performance metrics
Sends alerts across multiple channels (based on your configuration) when values go beyond a threshold
Gives developers a complete view of all the necessary parameters to ensure optimal performance
Tracks the behavior of users in real-time
Supports applications built across different environments such as AWS, Azure, Java, .NET, and more
Comes with root cause analysis capabilities to help stay on top of outages
Monitors on-prem and cloud-based servers and applications
Provides comprehensive insights across different cloud service providers
Monitors data centers that are powered with virtualization and Hyper-converged infrastructure
Centralizes log management to connect the dots and identify potential problems
Aggregates data from hundreds of devices and environments run a search analysis on them and provides meaningful insights
Monitors critical network devices and provides the visibility needed to manage large and complex networks

Pros:

Highly scalable SaaS product
Platform makes it easy to transition into other areas of monitoring such as network, application, or real user monitoring
Simple and easy-to-use interface
Supports a free version, great for home labs and testing

Cons:

The Site24x7 is highly detailed, and may take time to full explore all options and features

Pricing: There are five pricing tiers and they are:

Starter pack for website monitoring – $9/month. Supports a maximum of 10 websites and up to 500 MB logs
Infrastructure PRO – $35/month. 40 websites and premium support
Classic – $89.month. 100 websites and 250 voice credits per month
Enterprise – Starts at $225/month.

Download: You can start the 30-day free trial.

3. Paessler PRTG – FREE TRIAL

Paessler PRTG is a sensor-based monitoring system that can be used to monitor a wide range of systems, applications, and infrastructure including Python-based applications. Specifically, the sensor used for monitoring Python applications is the Python Script Advanced Sensor that comes as a part of the PRTG API.

Key Features

Sends alerts through more than 10 channels including email, text, alarm, audio, HTTP requests, and more
Comes with a full-feature web interface built on AJAX standards, thereby making it secure and high-performing
You can schedule alerts to meet your preferences or use the PRTG API to write custom notifications
Has apps for iOS and Android
Supports failover tolerant monitoring to reduce downtime
It has multiple points of monitoring to make it easy to compare values across different nodes or locations
Comes with real-time maps containing live status information
Its map designer tool allows you to create custom dashboards that meet your requirements
Supports distributed monitoring to help you monitor several networks within your company
Provides in-depth reporting
You can export your historical monitoring data to different formats
Paessler makes it easy to create reports on-demand or schedule their creation at regular intervals

Pros:

Drag and drop editor makes it easy to build custom views and reports
Supports a wide range of alert mediums such as SMS, email, and third-party integrations into platforms like Slack
Supports a freeware version

Cons:

Is a very comprehensive platform with many features and moving parts that require time to learn

Pricing: Since PRTG is a sensor-based tool, your cust depends on the number of sensors you use. For example, if you use a sensor for monitoring CPU usage and one for memory, that counts as two sensors. If you use both these sensors on 10 devices, that counts as 20 sensors.

There are also many pricing bundles to choose from and they are:

PRTG 500 – $1750 for 500 sensors
PRTG 1000 – $3200 for 1000 sensors
PRTG 2500 – $6500 for 2500 sensors
PRTG 5000 – $11,500 for 5000 sensors
PRTG XL1 – $15,500 for unlimited sensors
PRTG Enterprise – Custom quote for 20,000+ sensors across multiple server installations

Download:
Click here for a 30-day free trial.

4. Datadog Python Performance Monitoring and Analytics

Datadog's python performance monitoring and analytics tool is based on the Datadog APM using which monitors application data and analyzes stack traces. Based on the monitoring results, it also generates detailed reports that come in handy for various business functions and decisions.

Key Features

Monitors the performance of Python applications to ensure that the service level agreements are met
Automatically identifies python application dependencies
Troubleshoots issues at the application, endpoint, and customer levels
Searches through the Python stack traces to highlight errors
Automatically relates Python-based data from logs and traces to provide detailed root-cause analysis
Continuously monitors applications and identifies possible errors and vulnerabilities so they can be addressed at the earliest
Comes with built-in support for Python frameworks such as Django and Flask
Troubleshoots the Python queries that have a negative impact on databases like MongoDB
Monitors more than 400 integrations with Python applications
Tracks Python data from auto-scaling infrastructure
Monitors the Python applications across all environments
Analyzes Python logs across all services
Requires no manual setup or configuration
Comes with pre-built reports that can be used for various business purposes like compliance
Makes it easy to search and filter through tons of data
Maps Python applications and their underlying architecture in real-time

Pros:

Lightweight cloud-based tool
AI-powered alerts help cut down on false alarms and alert fatigue
Live reports make it easy to see high-level metrics and drill down quickly
450+ integrations to fit nearly any network environment
Scalable pricing based on how much data is processed

Cons:

Other event managers offer longer 30-day trial periods

Pricing: There are three plans – Free, Pro, and Enterprise.

The free plan (100% FREE) – Supports up to five hosts and retains metrics for one day.
Pro ($15 per host per month) – Comes with 400+ integrations, out-of-the-box dashboards, and reports, and retains metrics for 15 months.
Enterprise ($23 per host per month) – Machine learning-based alerts, premium support, and advanced features.

Download:
Click here to start the free trial.

5. ManageEngine Applications Manager

Applications Manager from ManageEngine is a comprehensive tool that provides visibility into the performance of all your applications and their components. It also ensures an excellent user experience and the option to automate your IT and DevOps processes.

Key Features

Monitors end-user experience across different geographical sites
Simulates business-critical process workflows o help you optimize them better
Provides detailed visibility into your public, private, and hybrid cloud environments
Monitors workloads of platforms such as AWS, Azure, OpenStack, and more.
Troubleshoots application performance
Stays on top of outages and pinpoints performance issues
Monitors and troubleshoots diverse business environments including VMs, web servers, applications, etc
Quickly identifies and solves database issues that impact application performance
Comes with root cause analysis capabilities to point your efforts in the appropriate direction
Optimizes the performance of Kubernetes, Docker, and RedHat OpenShift applications
Improves the availability of ERP solutions such as SAP, Oracle, and Microsoft Dynamics
Uses real-time monitoring to mitigate possible risks
Continuously monitors the performance of your website and Internet services
Automatically discovers applications and maps them in real-time
Tracks incidents on ServiceNow and Slack
Comes with 500+ built-in reports to analyze the performance of applications
Tracks many intangible metrics such as user experience and customer journey
Reduces the Mean Time To Repair (MTTR)
Enhances collaboration among teams
Verifies of code changes have an impact on the performance of applications

Pros:

Offers on-premise and cloud deployment options, giving companies more choices for install
Can highlight interdependencies between applications to map out how performance issues can impact businesses operations
Offers log monitoring to track metrics like memory usage, disk IO, and cache status, providing a holistic view into your database health
Can automatically detect databases, server hardware, and devices in real-time

Cons:

Can take time to fully explore all features and options available

Pricing: Applications Manager comes in two editions – Professional and Enterprise. The Professional edition is ideal for small and medium enterprises that want to monitor up to 500 applications while the Enterprise edition is ideal for large enterprises as it can scale up to 10,000 applications, Click here to get a custom quote.
Download:
Click here to start a free trial.

6. NewRelic One

NewRelic One is an advanced tool that helps engineers and analysts to get more out of their software, hardware, and their IT infrastructure as a whole. It supports detailed analysis, troubleshooting, and optimization to improve the overall health of your network.

Key Features

Comes with 300+ integrations to store all your data and logs in one place
Ensures that queries are implemented quickly
Has Grafana dashboards for an intuitive user experience
Sends alerts in real-time
Allows you to build custom apps
Helps to optimize your software stack
Monitors distributed services, applications, and serverless functions at all times
Gives a comprehensive idea of what's going on with all applications
Provides complete visibility into user experiences as well
Proactively detects and explains anomalies
Reduces false alerts and prioritizes issues that matter the most
Diagnoses issues and helps you to respond faster to tickets
Integrates well with many tools and open standards

Pros:

Focused on providing AIOps for websites and mobile apps
Can identify and alert to SSL, JavaScript, load times, and browser issues
Ideal for high-traffic websites and services – great for getting better uptime
Offers a completely free tier

Cons:

Available only as a cloud service

Pricing: NewRelic One offers three plans and they are:

Telemetry Data Platform – Collects, analyzes, and alerts on all your metrics. It is free up to 100 GB/month and costs $0.25 per GB beyond the free limit
Full Stack Observability – Provides complete visibility and comes in Standard, Pro, and Enterprise editions
Applied Intelligence – Reduces alert noise and helps to respond faster to incidents. The first 1,000 incident events free per month and $0.50 per incident beyond it.

Download:
Click here to get started.

Related Post: New Relic Alternatives

7. Dynatrace

Dynatrace's Python monitoring tool helps to discover and solve performance issues in your Python code and applications.

Key Features

Provides a detailed view into the health and performance of your applications and servers
Identifies dependencies in your code
Gives real-time snapshots of which hosts are running Python processes
Automatically keeps track of the change in the environment, so you can focus on building and not monitoring
Monitors Python applications and services at the process level
Provides information on which processes are making calls and which processes are being called by other processes
Focuses on process-specific context for the smooth running of your environment
Explores connected services in-depth
The reports and dashboards give just the information you want
Enables you to drill down into detailed metrics just when you need them
Provides an in-depth view of your environment's performance from your customers' perspective
Offers web monitoring for all web applications
Easy to set up and use
Comes with out-of-the-box reports that can be used for internal and external compliance

Pros:

Highly visual and customizable dashboards, excellent for enterprise NOCs
Operates in the cloud, allowing it to be platform-independent
Leverages AI to provide baseline analysis and detect user behavior anomalies

Cons:

Designed specifically for large networks, smaller organizations may find the product overwhelming

Pricing: Dynatrace comes in six flavors and they are:

Full-stack monitoring – $69/month for an 8GB host. Full-stack observability for apps, microservices, and infrastructure
Infrastructure monitoring – $21/month for an 8GB host. Observability for cloud platforms, containers, and data center technologies
Digital experience monitoring – $11/month for 10k Digital Experience Monitoring Units. Optimize user experiences across mobile, web, hybrid, and IoT applications
Application security – $10/month for a 8GB host. Runtime application vulnerability detection, optimized for the cloud and Kubernetes
Open ingestion – $25/month for 10k Davis Data Units. Extend observability with log monitoring, custom metrics and events, FaaS traces
Cloud automation – Custom pricing. Full life-cycle observability enabling intelligent, risk-free & faster delivery

Download: Click here to start your 15-day free trial.

Conclusion

To conclude, Python applications are popular and widespread because the Python programming language is natural and easy to use. Since these applications are so popular, they also require continuous monitoring to ensure that they are at optimal performance.

The above tools discussed in this article can monitor Python applications and can even suggest code optimizations when needed. These tools analyze the performance of applications, servers, and the environment as a whole to give you a holistic understanding of the performance metrics and the measures you can proactively take to improve the performance of your applications.