Top 21 Monitoring Tools in DevOps for 2025

Key Highlights

• Dive into the 21 most impactful DevOps monitoring tools set to steer 2025’s cloud environments and software landscapes.

• Uncover state-of-the-art solutions for real-time infrastructure monitoring and application performance enhancement.

• Compare open-source flexibility with commercial tools tailored for large enterprises and hybrid ecosystems.

• Discover standout features like predictive analytics, custom dashboards, and powerful query language capabilities.

• Boost DevOps strategies with efficient error tracking, incident management, and system health monitoring.

• Find tools that integrate seamlessly with infrastructure to optimise costs, security monitoring, and user experience.

Introduction

Good monitoring is at the heart of a strong devops process. It helps devops teams work better and keep systems running well. In 2025, the need for good monitoring in the cloud environments will go up. Whether devops teams want to check application performance or watch over their infrastructure components, they need new tools that help them meet business goals. The next part shows the latest solutions for devops monitoring. These tools help teams see the entire stack, spot any issues, and keep everything in line. This way, they can use all the data to work well and get better results.

Top 21 Monitoring Tools in DevOps for 2025

The number of DevOps monitoring tools is growing fast. These tools help devops teams watch over the entire stack with more ease. You can use them for application performance monitoring, checks on system health, and more. They help make devops work simpler by offering handy features and letting you scale as needed. As we get closer to 2025, engineers want to use popular tools to improve how they watch how things run, do data collection, and make the user interface better. Here is a list that shows 21 top tools that help devops teams reach their technical and work goals through strong devops monitoring of application performance and other areas.

1. Prometheus

Prometheus is known as one of the most trusted open-source options for infrastructure monitoring and data collection. This monitoring tool is made for tracking real-time performance. It does a great job of collecting time-series data, which helps to look at how a system behavior changes over time. It uses a pull-based model. This means it gets metrics right from endpoints. This makes it very good for container setups, like Kubernetes.

Prometheus can also do more with its strong query language called PromQL. With this, people can look at the collected data in detail. While it only handles metrics, Prometheus works smoothly with Grafana for showing data in clear views. It also has built-in alerts, which help people take action fast.

But, it needs a few extra tools for things like saving data for a long time or logging, because its main focus is just on metrics. If you are working with cloud-based systems, Prometheus can be a good fit. It gives the right mix of scalability and is easy to use in changing infrastructures.

2. Grafana

Grafana is known for being great at data visualization. It helps devops teams make custom dashboards that fit the metrics they need to see. The tool works with many data sources. You can use it with Prometheus, Elasticsearch, InfluxDB, and other tools to get detailed, interactive views of your data.

A big advantage of Grafana is its user interface. It lets people see real-time data in a clear and engaging way. Teams can set up alerts, add dashboards to their reports, or use plugins from the community to get the insights they need for different systems.

Grafana is really good at showing data, but it does not do data collection by itself. For this, you need to use other tools. Because of this, Grafana is an important part of bigger observability setups. Many use it as the main way to watch their infrastructure and performance when working in complex DevOps environments.

3. Splunk

Splunk changes how DevOps teams look at log data. It helps you search, filter, and study your log data in detail. This tool uses machine learning. It also offers strong security monitoring features. It works well for places that need to handle growing data fast.

Splunk can bring together logs from various sources. You can use custom queries in it. This makes Splunk a top pick for people working in security or for those who manage different parts of your tech setup. Its alerting makes sure you get fast updates when quick action is needed.

But, if you need to process a lot of log data, Splunk can get costly as your data grows. The tool may take some time to learn. Still, when you get the hang of it, Splunk gives you good insights from your data. It works best for big companies that want to improve system reliability and stop problems before they start.

4. New Relic

New Relic is an observability platform that brings together metrics, traces, and logs in one place. It is made to be quick and help improve application performance monitoring for DevOps teams. With New Relic, you get tools that let you track response times, see error rates, and get key insights for root cause analysis.

The platform stands out because it has features like dynamic baselining and can spot strange patterns or problems fast. These features help teams fix problems quicker. New Relic gives you easy-to-use dashboards which work with many frameworks. This gives DevOps teams the data they need to make decisions faster, speed up deployment cycles, and keep system health strong.

Some people may find the NRQL query language a bit hard to use at first. But over time, it is very helpful, as it gives you detailed analytics made to fit your needs. For many, New Relic is a must-have. It helps bring together application performance monitoring and real-time observability in one workflow for DevOps teams.

5. Datadog

Datadog makes it easy to keep an eye on everything in changing cloud environments. This cloud-based monitoring tool brings together information about infrastructure, application performance, and logs in one place. You can use it to watch over setups that use more than one cloud.

Datadog is well-known because it connects smoothly with over 600 other tools. That makes it a good fit when you need to track how well all your infrastructure components are working. It comes with automatic alerts and easy-to-read dashboards. These features help people check system health and handle incident management faster.

But, Datadog's costs can go up fast if you track more data or add advanced features that use predictive analytics. Still, the way it supports real-time monitoring and lets you set up alerts makes it one of the top DevOps monitoring tools. Teams use it to get better results and manage resources well.

If you want something for your devops monitoring that is simple, powerful, and not too expensive, keep looking for more tools that find the right fit for your needs.

6. Nagios

Nagios is a top monitoring tool that people use to check the system health of network devices and servers. It has been in the industry for a long time and is great at tracking error rates. People can make it work for their own needs by using plugins that the community has built.

The strong setup of Nagios helps cover old and mixed environments well. DevOps teams often use Nagios to keep an eye on uptime and how resources are shared over all their infrastructure components.

But, Nagios does not work out of the box with new cloud-native things like Kubernetes. This makes its use cases fewer in fast-changing systems. Even with that, its simple way of working and steady service makes many companies pick it, mostly those that still use many old systems. If you want something that can grow and is easy for people to set up, Nagios is a good and trusted monitoring tool that gives value year after year.

7. Zabbix

Zabbix is a flexible monitoring platform. It works well with both old IT systems and new cloud setups. Zabbix uses automatic discovery to track network traffic, system health, and infrastructure components.

With Zabbix, you get custom alerts without the need for extra tools. Many DevOps teams like that Zabbix is open-source. This means it’s easy to make the monitoring fit your business and can grow with you.

But to set up Zabbix in a large place, you do need to spend a good bit of time on configuration. If you do not manage alerts well, you may get too many and it can lower productivity. Many experienced engineers like using its command-line interface, as it gives them great control over critical systems and good observability.

Keep reading to see how app-focused tools can change user experience, give helpful insights, and make things work better in your DevOps teams.

(The blog keeps going with the next tools listed in the outline...)

8. AppDynamics

AppDynamics leads the way in application performance monitoring. This tool is a top choice for DevOps teams that want to keep their systems running well. With strong infrastructure monitoring, it gives insight on how applications work in different cloud environments. The platform uses advanced features like real-time data visualization and predictive analytics. This helps people find and fix performance issues before they get worse. Users can set up custom dashboards to watch key metrics. AppDynamics also works well with the ELK stack, making it a good fit for large enterprises that want to boost their monitoring strategy and see how their applications are doing at all times.

9. Dynatrace

Dynatrace is a top choice for a DevOps monitoring tool. It gives devops teams full application performance monitoring in cloud environments. This monitoring tool uses machine learning, so you get real-time updates on system health. You can keep track of key metrics like response time and error rates. Its powerful query language and custom dashboards help you look at data sources. You can see where the performance issues are.

Connecting Dynatrace with the ELK stack makes observability better. The advanced features let you do root cause analysis and handle incident management. Because of this, it is a good fit for large enterprises that want cost optimization and want to provide a better user experience.

10. Sensu

Sensu is a strong tool for infrastructure monitoring in changing cloud environments. It is made for DevOps teams to get real-time updates about how applications and infrastructure components are working. Teams can use custom dashboards for data visualization. This makes it much easier to track key metrics and see system health clearly.

With its observability platform, Sensu connects with many data sources. This helps the team with root cause analysis by using predictive analytics. It is open-source, which means it supports continuous monitoring and good incident management. Because of these features, many people and companies that look ahead use Sensu for their monitoring needs.

11. Kibana

Kibana is a helpful data visualization tool in the elastic stack. It lets devops teams get the most out of their log data. With the use of custom dashboards and live updates, you can watch application performance and keep track of system health in real time. The user interface is set up for ease of use, so engineers can get right to root cause analysis and see key metrics fast. Because it links with many data sources, Kibana gives a complete way to watch over your systems. This makes it a big part of any monitoring strategy when it comes to infrastructure management.

12. Logstash

Logstash is a tool used in the Elastic Stack for data processing. It helps devops teams work with many types of log files and data sources. Logstash lets you collect, process, and analyze logs in real time. With this tool, you can look at logs as soon as they come in. It works well with Elasticsearch, so you can see application performance and get useful reports.

The advanced features in Logstash help with root cause analysis and tracking error rates. This means you can fix performance issues faster. Because of these features, logstash helps software development teams react quickly when system behavior changes. With Logstash, the devops teams can keep the systems running well and keep up with what the applications need.

13. InfluxDB

InfluxDB is a strong time-series database made for collecting and storing data fast across cloud environments. This open-source tool works well with data collection from various sources. It helps devops teams and is great for devops monitoring because it can handle a lot of metrics and events at once. With InfluxDB, you can use real-time data analysis to spot performance issues fast. This helps teams make better choices about their systems and improve application performance and system health. You can also build custom dashboards and use a powerful query language, which helps with observability and root cause analysis. This means you can see what is going on in real-time and find the main reason for any issues.

14. SolarWinds

SolarWinds is a strong monitoring tool that stands out when it comes to infrastructure monitoring. It gives wide and clear views into IT systems, letting you see what is really happening. The tool uses real-time data collection plus advanced features like predictive analytics. This helps to keep system performance at its best.

The easy-to-use interface lets DevOps teams set up custom dashboards without much trouble. This makes it simple to track key metrics and spot any performance issues quickly. SolarWinds connects well with various sources, so it is useful in many setups.

Because of its great integration and smart use of new technology, SolarWinds is good for large enterprises that want to make application performance better and handle incident management tasks more smoothly.

15. Netdata

Known for its strong real-time monitoring, Netdata gives you continuous insight into the performance of applications and all infrastructure components. The tool pulls data from various sources and shows you useful metrics through a smart user interface. It helps DevOps teams use root cause analysis to quickly spot performance issues so they can fix them sooner. Features like custom dashboards and an alerting system help with incident management. Because of all this, many large enterprises use Netdata to keep their DevOps pipeline running well.

16. PagerDuty

PagerDuty is a top tool for incident management. It helps DevOps teams keep their systems healthy and reliable. The platform works well with many infrastructure components, so teams can get alerts right away when performance issues come up. PagerDuty uses machine learning and has custom dashboards. These things help teams see data better and improve the way they monitor their systems.

PagerDuty puts all alerts and incident management in one place. This makes it easier for people to fix problems fast, and it gives a better user experience. The platform also helps teams be proactive, not just reactive. It pushes for continuous monitoring of the entire stack, so nothing gets missed.

17. Spacelift

Spacelift is a strong DevOps monitoring tool made to help with infrastructure management. It works with many CI/CD pipelines, so teams can make their software delivery smoother. The main focus of Spacelift is on automation. It lets people monitor cloud environments in real time and gives valuable insights about system behavior and performance metrics. The platform has custom dashboards, which make data visualization easy and help people make better decisions. With its predictive analytics, DevOps engineers can find and solve performance issues early. They can also work to lower cloud costs, making sure there is good and steady service delivery.

18. Sysdig

Sysdig stands out because it gives a strong observability solution made for cloud-native setups. Its platform works well with Kubernetes and containers. DevOps teams can use it to watch system behavior using real-time metrics and logs. Sysdig lets people see into application performance very clearly. This helps them track error rates and do root cause analysis in less time, which is key for good infrastructure management. The platform has things like custom dashboards and a powerful query language. These features let organizations fine-tune performance metrics. They also help to manage incidents fast and do security monitoring across the entire stack.

19. Fluentd

Fluentd is a strong open-source tool that helps collect data from many sources. Its design is flexible, so it works well in cloud environments. With Fluentd, DevOps teams can come together to get logs and metrics for better data processing and observability. You can also use Fluentd to build custom dashboards that show system health and performance metrics. This makes it simple for people to do root cause analysis and fix issues fast. In the end, Fluentd helps the whole team keep a close eye on application performance across all parts of the system.

20. Elasticsearch

Elasticsearch is a strong search and analytics tool that is an important part of the observability stack. It helps devops teams get full data visualization. With this tool, you can collect and store log data from various sources. This makes it easy to check system health in real time. It also helps with root cause analysis when something goes wrong.

The advanced features, like a powerful query language and data processing, make application performance monitoring better. When you use Elasticsearch with the Elastic Stack, you get a great way to handle infrastructure monitoring, application performance, and performance metrics. It also helps with incident management in cloud environments.

Elasticsearch gives teams what they need to see how systems and applications are running. This keeps everything working well and helps you solve problems fast.

21. Kubecost

Cost management is very important in cloud environments. It helps people make the most of their budget. Kubecost is a monitoring tool that does very well with this. The tool gives devops teams a clear look at how money is being spent on Kubernetes. This means you can use your resources better.

Kubecost has advanced features like real-time cost tracking and alerts. With these, you and your team can spot anything unusual fast. This also helps you use best practices every day. You can use its custom dashboards to see all the key metrics that matter. These dashboards make it easy to know what’s happening, so you can make good choices.

When you use Kubecost, you get to manage your cloud costs easily. At the same time, your system performance stays good all through the devops process. This makes it a smart choice for anyone who wants to save money and make things work well.

Conclusion

The world of devops monitoring is always changing. This shows how important it is to keep your system performance and security in good shape. When you use strong tools for devops monitoring, you get better observability. This can help your team boost application performance and make infrastructure management much easier.

When you find the right mix of solutions for your own use cases, you can cut cloud costs and still keep a strong incident management plan. As new tech comes out and best practices change, having a proactive monitoring strategy will help you handle the tough parts of modern software delivery. With this approach, your team is ready to stay ahead and keep systems running well.