9 Best Python Monitoring Tools

by Ben Schultz - Last Updated: September 23, 2021

Best Python Monitoring Tools

Python is one of the most extensively used programming languages due to its simplicity and flexibility. It is compatible with a wide variety of programs and also works in correlation with other programming languages. Much of its ease-of-use stems from its easy understanding since it is more closely related to everyday languages. As a result, much of the websites and applications rely on python. Its popularity in the corporate sector is uncontested. Furthermore, it is widely employed in user interfaces, the forerunner of any application or website. In short, python is present almost everywhere.

Here is our list of the nine best Python Monitoring tools:

  1. AppOptics Application Performance Monitoring (APM) – FREE TRIAL A robust and comprehensive tool that thoroughly monitors python-based applications and stacks.
  2. Datadog APM A cloud-based monitoring service that can help users monitor total requests, total errors, latency distributions, and the total number of queries in real-time and record it for future consultation.
  3. Site24x7 All-in-one cloud-based website performance monitoring solution to keep real-time records of servers, networks, applications, cloud, and user experiences.
  4. ManageEngine Application Monitor An on-premise monitoring tool supported by Windows and Linux. It is a comprehensive tool for monitoring website performance and server resources.
  5. Dynatrace A flexible monitoring tool that supports many applications and works well with python-based code.
  6. Cisco AppDynamics APM A full-service application monitoring tool compatible with various applications, software, and integrations.
  7. New Relic APM A full-stack observability platform that can monitor the performance of Python applications and all background processes to help you locate and fix performance issues.
  8. Prometheus Αn entirely free, open-source, and community-driven monitoring tool that will help you examine python web applications and generate reports.
  9. Sentry APM Lightweight and easy-to-use APM allowing you to diagnose, fix and optimize code performance. You can implement it directly into your Python project.

The wide use of pythons gives rise to specific issues. First, code execution is tough to track among the thousands of lines of codes. It is suitable for an automated tool to tackle this issue. Second, resource management is one of the top issues that intimidate developers. Memory is a scarce and limited resource. Memory needs to be appropriately allocated without choking the resource. In python, a single execution may call many modules at the same time. Also, a single code may be required to run many times in parallel with each other. In addition, more issues persist in the background of the application programming interface (API) that developers must deal with.

Therefore, developers must keep track of the issues mentioned above and solve them. However, it is incredibly time-consuming for developers to manually go through each line of code to sort out the problems. For this purpose, developers rely on automated monitoring tools to keep track of the entire code and alert you of any upcoming issues. The primary purpose of the monitoring tools is to save time and allow the developers to utilize them in other important tasks.

There are several python monitoring tools, and it is important to choose the one that best fits your needs. This article will give an in-depth insight into the various functionalities of different monitoring tools, allowing you to select the most suitable one.

The Best Python Monitoring Tools

1. AppOptics Application Performance Monitoring (APM) – FREE TRIAL

SolarWinds AppOptics

Solarwinds is a well-known company when it comes to monitoring tools. Like SolarWind’s other flagship monitoring software, AppOptics is a robust and comprehensive tool that thoroughly monitors python-based applications and stacks. In addition, AppOptics is an application performance monitoring (APM) software that will keep track of the performance of codes at the application level and monitor rendering times and errors. Appoptics is available as SaaS (Software as a service), which means it does not need to be installed on-premises.

AppOptics features more than 150 plugins, allowing you access to numerous metrics and monitoring your python programs to the granular detail. A tracking function keeps track of codes being executed and traces the execution to the underlying process, exposing the code. Furthermore, the code analyzer examines executable code and keeps track of memory management. It can detect bugs or code insufficiencies. AppOptics can conveniently track data logs, including performance, user data, errors, and even provide insights about the underlying issues.

AppOptics features a heavily customizable dashboard that allows you to monitor data in graphs and other metrics. You can even customize your metrics or use default metrics provided by AppOptics. You can even set thresholds for events or actions and be notified about changes around the events through various mediums.

Pricing: AppOptics offers two packages. Infrastructure monitoring is the cheapest package priced at $9.99/host/month. Infrastructure + application monitoring is priced at $24.99/host/month. Unfortunately, python monitoring is only included in the more expensive edition of AppOptics – see https://www.appoptics.com/pricing

Download: You can try Appoptics Python Application Performance Monitoring for a fully functional 30-day free trial.

Download Button

2. Datadog APM

Datadog Security Monitoring Main-dashboard

Datadog APM is a cloud-based monitoring service that does not have to be installed on-premise.  Datadog can help users monitor total requests, total errors, latency distributions, and the total number of queries in real-time and record it for future consultation.

Datadog features a fully customizable dashboard with easy-to-read metrics that are convenient to use. Datadog also features a monitoring utility for codes on websites and servers. It also features a lookup tool for traces. You can search for traces by looking up various tags associated with multiple tracers. This can help you quickly locate problems in your python code. Moreover, continuous profiling constantly monitors code for issues. When it detects issues, it color-codes them to allow the user to identify them. Memory utilization and high CPU usage are two issues identified by Datadog. Also, Datadog can keep track of all API execution, monitoring the executed codes and the programs implementing them. This ensures that the user is always aware of occurring changes. Code tracking services identify linkages between various python systems, system resources, and programmed modules. It also provides you with relevant insights. You can use Datadog’s synthetics to stimulate traffic on your website and stress test it from the consumer’s perspective.

Pricing: Datadog APM offers two packages. APM is priced at $31/host/month while APM + Continuous profiler is priced at $40/host/month. In addition, you can claim a 14-day free trial.

3. Site24x7

Site24x7 Database Monitoring

Site24x7 is an all-in-one cloud-based website performance monitoring solution to keep real-time records of servers, networks, applications, cloud, and user experiences. It is a highly robust tool allowing you complete monitoring tools for your needs.

Site24x7 provides a python agent that will help monitor resource management in python applications and help you optimize them. It offers a variety of metrics, including response times, errors, throughputs, and more. Also, it features a utility to identify applications and keep track of the interactions between various applications. In addition, a component analysis tool helps you monitor the number of resources utilized by the code. It can also help you in validating python frameworks and different APIs that you intend to use.

Pricing: Site24x7 has four different packages suited to different needs. The cheapest package is the starter package, priced at $9, while the expensive enterprise package is priced at $449.

4. ManageEngine Application manager

ManageEngine Application manager

ManageEngine is another reputed brand when it comes to monitoring tools. ManageEngine Application Monitor is an on-premise monitoring tool supported by Windows and Linux. It is a comprehensive tool for monitoring website performance and server resources.

ManageEngine can diagnose full stacks and keep track of performance bottlenecks no matter where they are present. It supports a comprehensive catalog of programming languages, including python. It has a utility specifically for identifying applications and figuring out links between them. It can also create a visual application dependency map to give you an accurate idea of the systems that call modules and the locations where they are hosted. ManageEngine can also keep track of background API processes. Hence, it can track a code’s execution no matter where the code is hosted. It can also issue alerts whenever an issue arises as well as identify its root causes.

Pricing: ManageEngine has three packages. The free version can support up to 5 monitors. The professional edition supports up to 500 applications, and the enterprise edition can support multi-site businesses.

5. Dynatrace

Dynatrace monitoring tool

Dynatrace is a flexible monitoring tool that supports many applications and works well with python-based code. It is an in-depth monitoring tool with easy-to-read visual metrics that will help you optimize your code to the best.

Dynatrace can automatically assemble all dependent applications and services and display dependencies on a map, allowing users to track issues easily. It relies on smartscape technology to provide comprehensive information about the dependencies. The map provides a transparent overlay of tracers being executed which you can track easily. The map is also interactive allowing you to dive deep into the granular detail. Dynatrace monitors at the process level enable you to monitor the modules being called on and the processes calling them. Dynatrace also supports a web monitoring tool that displays issues on a geographical map allowing you to account for locations suffering from poor performance or outages.

Pricing: The infrastructure monitoring edition is priced at $21/month for 8GB/host. In comparison, full-stack monitoring is priced at $69/month for 8GB/host.

6. Cisco AppDynamics APM

Cisco AppDynamics APM

Cisco AppDynamics APM is a full-service application monitoring tool compatible with various applications, software, and integrations. It can provide in-depth insights and plot them on a map to help you easily track issues.

One of the best features of AppDynamics is its real-time monitoring facility. It can keep track of changes in the codes and notify you of any arising issues. The application also automatically plots the issue on a topology map, assisting you in pinpointing the cause of the issue. The automated mapping can create a map of your entire python code, allowing you to interact with specific parts of the code. It also features a runbook execution feature that executes a particular script whenever a specific condition is met. AppDynamics also notifies you of issues that stem from the code. It keeps track of applications using four levels of health status: critical, warning, normal and unknown. AppDynamics can also notify you whenever there is a change in the health status of applications or services.

AppDynamics comes in four editions: Monitoring, Premium, Enterprise, and Realtime, allowing you to choose the one best suited for your needs.

7. New Relic APM

New Relic APM

New Relic APM is a full-stack observability platform that can monitor the performance of Python applications and all background processes to help you locate and fix performance issues. Besides providing a general overlay of the underlying problems, it can also offer precise geographical details and insights.

New Relic is a utility that collects data about traces, correlates them, processes them using an AI algorithm, and provides you insights. The insights can be both superficials as well as in-depth. For example, it can provide data on response time, web transactions, total requests per minute, and error rates. It can support multiple platforms, including clouds, servers, and even a combination of both. New Relic’s top-notch APM can aid in comparisons of new code with the older code and highlight all changed fragments of the old code causing issues. It comes with various metrics, but it also provides its users the liberty to create their metrics. Once user metrics are configured, they are seamlessly integrated with the dashboard, allowing you to monitor specific functions of the Python applications. It also features a cross-application trace enabling you to monitor traces across various tiers and services. The gathered information is plotted on a map for easier readability, making the linkages between multiple tiers prominent.

New Relic has four editions: Free, Standard, Pro, and Enterprise. The pricing tiers are ideal for smaller dev teams.

8. Prometheus

Prometheus monitoring tool

Prometheus is an entirely free, open-source, and community-driven monitoring tool that will help you examine python web applications and generate reports.

Prometheus can conveniently monitor light service-oriented architectures due to its ability to collect multi-dimensional data. It uses a functional query language called PromQL that you can use to generate graphs, tables, and alerts from the collected data. For preparing graphs and charts of that data, you can use a tool called Grafana. After downloading Grafana, it has to be configured before it can start pulling live metrics from Prometheus. Grafana will take time for setting up and implementation. It is not as seamless as other paid APMs. Prometheus can also send expressions for processing using an HTTP API integration. You can customize Prometheus to send you conditional alerts regarding various issues. However, customized alert implementation can prove to be detrimental. It takes time to understand Prometheus entirely but, you can always rely on the community for help.

9. Sentry APM

Sentry APM

Sentry APM is a lightweight and easy-to-use APM allowing you to diagnose, fix and optimize code performance. You can implement it directly into your Python project. Primarily, Sentry is known for its real-time error and crashing tracking capabilities; however, its software has so much more potential.

When Sentry identifies a poor-performing API call, it will create a log of the error for you to review later. Sentry also features a Breadcrumb error feedback which allows you to view the specific events that led to the error. When Sentry was first developed, it was only compatible with python; however, it has expanded its compatibility catalog to include more than 30 languages. Sentry can be employed on-premise or used as a software-as-a-service (SaaS). As a result, Sentry can effortlessly be integrated with many collaboration tools. It can also monitor full stack traces allowing you to identify and report application errors quickly.

Sentry comes in four editions. The developer edition is free. However, the capabilities are limited. The team edition is priced at $26 per month, while the business edition is $80/month. The pricing for the enterprise edition can be requested at Sentry’s website.

Conclusion

Programming languages are a necessity in the modern era of technology. Nearly all operations are based on the programming language. From small websites to large applications, all are hosted by one of many programming languages. Therefore, IT specialists need to ensure their applications are operating at their optimum. Automated monitoring tools have significantly reduced the time and effort in ensuring programs and services run smoothly. We must make use of all tools at our disposal to perform our tasks as efficiently as possible. In the end, the most critical resource is time.