Top 10 Monitoring Tools for DevOps in 2025

DevOps is all about the workflow between developers and operations. But when the complexity grows, regulating more features and automation to track different DevOps processes is very important. That's where DevOps monitoring comes into the picture.

Top 10 Monitoring Tools for DevOps in 2025

Importance of DevOps Monitoring

• You can use various monitoring tools in DevOps for automation, definition, and measurement of development processes across the pipeline.

• Monitoring tools are essential because organizations ensure that their IT systems and applications are always available, working at the right performance, and healthy overall.

  
  

• Monitoring tools These provide real-time visibility into systems, application, and service performance and behavior, helping organizations identify problems before they impact end-users.

  
  

Top 10 Monitoring Tools for DevOps in 2025

However, finding the best performing monitoring tool in DevOps requires precision and thorough knowledge. So to help you out with the filtration process, here are the 10 top DevOps monitoring tools that you can integrate into your infrastructure:

Top 10 Monitoring Tools for DevOps in 2025

1. BrowserStack Test Observability

BrowserStack Test Observability is designed for DevOps teams that want to optimize their testing operations aided by data. It offers valuable insights about improving your test suite's quality, stability, and performance over time. Persistence problems such as flakiness and constant failures have a greater chance of improving the quality of testing and, eventually, of the end product.

Pros

Some of the essential Test Observability Features include:

• Filter actual test failures with auto-tagging into flaky test, always-failing, and new failures. No guessing, repeat reruns.

  
  

• Failures are pinpointed instantly with AI-based categorizations such as product, automation, or environment issues.

  
  

• All logs – framework, video, screenshot, terminal, network & even application logs – accessible in chronological order in a single windowpane.

  
  

• Test suite health troubleshooting through built-in dashboards on metrics such as stability and flakiness.

  
  

• Supports major frameworks such as Cypress, Playwright, Java TestNG, Webdriver, etc.

• It integrates very nicely within the CI/CD pipelines (Azure pipelines and Jenkins), giving instant feedback with every deployment and improving the quality of code.

2. Prometheus

Being an open-source system monitoring toolkit, which is quite popular, Prometheus is designed specifically for monitoring in DevOps. It's a very powerful end-to-end monitoring system and has an alert manager.

Pros

• It can be integrated with other DevOps tools, such as Grafana for visualization and Alertmanager for alerting.

  
  

• It has a powerful query language (PromQL) that allows for precise and flexible querying of metrics.

Cons

• Prometheus is only a data collection and storage tool, so it needs additional components to handle alerting, visualization, and other use cases.

  
  

• It does not have built-in support for distributed storage, so scaling for large deployments is challenging.

Also Read: DevOps Prerequisites

3. Grafana

Grafana is an open-source analytics and interactive visualization application that supports data presentation methods through pluggable panel architecture. It is widely used in DevOps environments to visualize and analyze data from various sources.

Pros 

• Grafana offers an alerting feature, which can be connected with other alerting systems, such as Alertmanager.

  
  

• Grafana has a user-friendly interface through which users can easily create, edit, and share dashboards.

Cons

• Grafana’s alerting system is not as rich as other monitoring tools like Prometheus or Nagios.

  
  

• Grafana is primarily a visualization tool and does not have built-in data collection or storage capabilities.

4. Zabbix

Zabbix is another open-source monitoring tool with many built-in monitoring capabilities, including SNMP, IPMI, JMX, and more support. It is a mature and well-established tool that has been developing for over a decade.

Pros

• Zabbix boasts of a rich set of alerting and reporting features.

• Large and very active community. Many resources are available for learning and troubleshooting.

Cons

• High overhead on monitored systems and networks, that might become an issue in high-scale environments.

• Visualization isn't as rich as other monitoring tools, like Grafana.

Also Read: A Beginner's Guide to DevOps

5. Nagios

Nagios may be very useful to monitor systems, services, applications, and business processes in a DevOps environment. It is a good tool that quickly runs tests and is not complicated to configure on the client and server sides.

Pros 

• Nagios has a really powerful plugin architecture; therefore, it is convenient for easy customization and integration with other tools.

  
  

• Nagios is a highly active community, which means lots of support is available to help learn and troubleshoot.

Cons

• It's quite resource-intensive, and major configuration is needed - time-consuming and complex.

  
  

• It has a steeper learning curve than other monitoring tools.

6. Datadog

Datadog is a robust SaaS-based infrastructure monitoring service with many integrations-it allows DevOps teams to keep track of cloud environments to visualize the health of your infrastructure.

Pros

• Datadog has monitors to notify appropriate individuals once critical alerts are triggered.

  
  

• It is open-source, meaning digging into the code and understanding how it collects metrics is easy.

  
  

Cons

• Even though it is a cloud-based platform, it still needs some setup and configuration, which can be time-consuming and complex.

  
  

• Datadog may be more expensive than other open-source monitoring tools for DevOps.

Read More: Importance of DevOps Team Structure

7. InfluxDB

InfluxDB is a great tool for monitoring cloud-native applications and microservices, which makes it perfectly suitable for modern, distributed systems. It has a very powerful query language called InfluxQL, which enables accurate and flexible querying of metrics.

Pros 

• InfluxDB has an in-built alerting feature. It can be integrated with other alerting systems like PagerDuty, Slack, etc.

  
  

• InfluxDB has a pull-based architecture that can significantly load the monitored systems.

Cons

• InfluxDB is primarily a data storage and querying tool and does not have built-in data collection capabilities.

  
  
  
  

8. Elastic Stack

Previously referred to as ELK Stack, the Elastic Stack is a group of three open-source tools: Elasticsearch, Logstash, and Kibana. It is a log analysis tool for monitoring, security, troubleshooting, compliance, SEO, and business intelligence.

Advantages

• The Elastic Stack has a very active and large community, and hence there are so many resources for learning and troubleshooting.

  
  

• The Elastic Stack is powerful and flexible to collect, store, and analyze log data.

  
  

• It is resource intensive and becomes problematic at high-scale levels.

  
  

• Highly complex to set up and configure, especially for users unexposed to log data and search engines.

9. Splunk

Splunk is the only analytics-powered, full-stack, and OpenTelemetry-native observability solution for monitoring, searching, and analyzing machine-generated data. It delivers end-to-end visibility across your stack, irrespective of the application you are using.

Advantages

• Splunk has rich native monitoring capabilities and supports diverse technologies such as AWS, Azure, GCP, and Kubernetes.

  
  

• Large active community with a lot of learning resources available.

Disadvantages

• Splunk is not very interactive compared to most other visualization tools.

  
  

•   Rich alerting is something this tool lacks when compared with the rest of the monitors in the market.

  10. Logstash

Logstash is a log data collection, processing, and transportation pipeline tool that is very widely used in DevOps environments to collect, parse, and forward log data.

Advantages 

• Logstash can do lots of transformations and enrich the data before forwarding it to its destination.

  
  

• You can easily integrate it with DevOps tools such as Elasticsearch, Kibana, and InfluxDB.

  
  

Cons

• Logstash is very resource-intensive, which becomes an issue in high-scale environments.

  
  

• It does not have built-in alerting features.