List of top 10 monitoring tools in DevOps!

1. Sensu

Sensu is one of the most popular DevOps monitoring tools, and it’s used to keep track of infrastructure and apps. You can use this platform to track and measure the health of your infrastructure, apps, and business KPIs.

Sensu solves current infrastructure difficulties by combining dynamic, static, and temporary infrastructure. Although Sensu does not provide software-as-a-service (SaaS), you can monitor your system as you like.

2. Librato

You can track and understand the metrics that affect your business at every stack level with Librato in real-time. Librato has all of the tools required to monitor a solution, such as visualizations, analysis, and alerts for all metrics mentioned above. This tool can collect and manipulate real-time data from a variety of sources.

3. PagerDuty

PagerDuty is a functions execution platform that collaborates closely with operations professionals. The tool allows the development team to monitor app dependability, performance and manages errors as soon as possible.

The operations team can notice, triage, and handle alarms faster when they come in on time from the development to the production environment. PagerDuty is an excellent incident response and alerting system that is simple to use.

4. Datical deployment monitoring console

If you like to automatically watch the status of every database deployment across the organization, you should look into the Datical Deployment Monitoring Console. Keeping track of all SQL script implementation on all environments is a chore you’d like to automate for reducing the threat of human error. That’s precisely what the Datical Deployment Monitoring Console does. It is also in charge of simplifying database auditing and deployment monitoring.

5. Tasktop integration hub

The Tasktop integration hub is a one-stop-shop for all software delivery integration needs. Delivering value to a business, the Tasktop integration hub combines all tools within the organization into a single app. The Tasktop integration hub is an effective tool for getting the correct information to the right people at the right time with an accurate tool and interface.

6. Prometheus

Another metrics-based, time-series database focused on white-box monitoring is Prometheus. It is an open-source monitoring and alerting solution with a robust community-driven ecosystem. Many organizations and corporations have integrated this technology into their ecosystems since its launch, permitting the user and developer communities to engage.

7. Kibana

Kibana is a free, open-source analytics and visualization tool designed specifically with Elasticsearch. Searching, visualizing, and interacting with data stored internally in Elasticsearch indices are the most typical uses of Kibana. Kibana makes complicated data analysis and visualization simple by utilizing charts, maps, and tables.

8. Splunk

Splunk is a powerful platform for searching machine data (mainly frequently generated logs but rarely appropriately used). Splunk, the company, creates software used for searching, monitoring, and analyzing machine-generated data using a web-based interface. It compiles all relevant data into a central index that allows users to find the information they need quickly. The Production data center and others in the marketing department are the best scenarios for understanding the tool’s capabilities.

9. Nagios

One of the DevOps tools for continuous monitoring is Nagios. It is a popular open-source tool. Nagios can help monitor systems, apps, services, and business procedures in a DevOps environment. When something goes wrong with the infrastructure, it warns users and then fixes the problem.

10. Dynatrace

Dynatrace is the smallest library that can run in the background of an application without using more than 10 MB of server RAM. As a result, the app records can be observed without triggering server conflicts, reducing server overhead. The addition or removal of Dynatrace representatives from app servers does not necessitate restarting the app servers.