If your app runs in production, you will need to know when it is broken. Preferably before your users tell you.
Application Monitoring Tools (APM) arrives at the same place. They show you what is working, what is slow, and what is failing, all in one place.
Nowadays, the five best tools are used. I go through your work, why they are good, and how you can use them in your plans.
The new Ocesh is one of the oldest players in the place. This is great to observe the full stack, which means that you can see everything from your Front and JavaScript errors to the database inquiry.
Just imagine your node. JS backdoor is slow. You deploy a new closing point, and your API reaction times increase.
With new abuses, you can detect this slowdown to a particular function call or database inquiry. This shows you the performance matrix, transaction marks, error rates and real -time warnings.
For early people, a New Relican dashboard can feel heavy. But once you get used to it, you will see why large teams rely on it for 24/7.
If you want a tool that performs application performance monitoring (APM), infrastructure monitoring, browser monitoring, and even mobile monitoring, the new Ocesh is your tool.
The new Ocesh is a paid tool, but it comes with a generous free -tier to start detection of its features for you. The full plan of prices is this.
Datdog started as an infrastructure monitoring tool but he has also become a powerhouse for developers.
It is easily connected with AWS, Azure, GCP, Kubernetes, Docker, and almost any service you use.
Suppose you deploy a flask app on the cabinets. Suddenly, users report a timeout.
In the data dog, you can see your pod Matrix, CPU and memory use, container logs, and APM in a timeline. You will soon see if your pod was oomkilledIf your database is a connection spike, or if your app code itself was slow.
Data Dig also shines in warning. You can set alerts such as:
If the average response time> 2000ms for 5 minutes, Send Silk Alert #Dupus
This keeps your team active rather than react.
It also connects Target the behavior Consumer sessions and performance matrix data, product teams help understand how performance issues affect user behaviors and conversion.
If you want a smooth cloud-local surveillance with powerful dashboards, alerts, and security integration, the data dog is your solution.
The data dog is free for five hosts, so the free plan will be enough to start for solo developers / smaller teams. The full plan of prices is this.
Promotase is an open source monitoring system that scratches the matrix from your app, stores them in a time series database, and allows you to inquire with the Prom QL.
Graphian The top is the dashboard layer. Together, they are like peanut butter and jelly for monitoring.
That is how you can use them. Suppose you have a GO API that exposes /matrix using a promotase client library. Promotes ended the end of every 15 seconds. You can inquire:
rate(http_requests_total(5m))
It shows you every second in the last 5 minutes.
Then, in graphana, you make a dashboard to view this data with graphs, gaugees and alerts. Many teams use graphana for health dashboards shown on TV in the office.
Promotase is used heavily with granites due to free, flexible, and its service discovery properties. But this requires setup and maintenance compared to sauces tools.
If you want a powerful open source solution with the customs dashboards and the Prom QL inquiry, your solution is your solution.
Unlike the new Ocean and Datodog, the sanitary focuses on error and performance monitoring.
This is a favorite for Front & Back and Developers because it is a detailed mark of stack, Brad Crambes, and To be tracking release.
For example, if users click on “Submit”, your react app throws an error. Sentry Captures:
The exact error and message
Function and file that causes it
User’s browser and OS
Recent events before mistake (Brad Kerbus)
This helps you re -reproduce and fix this problem.
On the back and apps, it acts like a front end. You can connect the sanitary with almost any framework to achieve Jiango, Express, flask, or exceptions and performance barriers.
If you want to track insects and performance issues in real time, to wear them quickly with deep context, Santry is your solution.
Sentry is free for a user with minimal features. The full plan of prices is this.
Post Thing Product is a modern open source tool for analysis, session recording, feature flags, and application monitoring.
Unlike traditional APM tools, Post Tog focuses on how users interact with your app.
For example, suppose users are not completing your sign -up flu. With the post hog, you can:
Record the user session where they go from
Track step -by -step Finance conversion rates
Analyze the use of the feature to prefer improvement
Use to target behavior to stimulate the EPP indicators for specific user classes
You can post hostess on your own infrastructure or use their cloud offer. Developers like it because they are hosting themselves to the third party without sending data to the product analysis and the user’s insights.
If you want to collect product analysis, session replay, feature flag, and event -based surveillance in a tool to understand and improve user behaviors in your app, post -toug is your solution.
Post Thugs get free status for up to 1 million events each month. Payment projects start at $ 0.00045 per event after free levels, which have enterprise features and advanced plugins. So there is no fixed price here and you pay as your application scales.
If you are a solo developer or a small team, start with the Sentry for the Open Source Matrix mistakes and the Promotase + Graphana.
When you grow and need unified monitoring with warnings and APMs, tools like data dugs or new abuses are valuable.
If you want to complete control over your data with the features and prices of modern APM, which is scales from your app, Post Thing is your solution.
Conclusion
Remember, monitoring is not just about fixing failures. It is about learning how your app behaves under real use. This helps you to improve performance, spot barriers and create flexible software that users trust.
Take some time to integrate the basic surveillance into your apps. Even easy HTTP application matrix and error warnings can save you later blind debugging hours.
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