The tools, methods, and culture connected with DevOps have improved over time. When development and operations work together, they can provide software developers with a whole new perspective. DevOps has become a vital component of the tech industry. From project planning to software delivery, it is crucial in businesses. Companies utilize a variety of monitoring tools in devops for developing, testing, and automation, among other things.
The recent survey on DevOps trends tells us that half of the respondents said that their companies had a devoted team of DevOps, and 99% of respondents said that DevOps had positively influenced their organization.
Continuous monitoring tools DevOps are a vital element of the DevOps pipeline. It offers automated abilities that permit developers to monitor apps, infrastructure, and network components in the production environment.
What is DevOps monitoring
DevOps monitoring involves keeping an eye on apps, networks, and servers. Also, they are running smoothly on different digital assets for performance, user transactions, health, security, and bugs. Proactive monitoring aids in monitoring digital assets in a manner that mimics the real-world user environment on the assets. This lets you know about errors and additional parameters ahead, even before going live, in a pre-production environment.
Regardless, teams adopting an agile strategy or establishing a DevOps culture in their organization must acknowledge that proactive monitoring of the “left” of production is critical to attaining these objectives. Shifting left refers to the testing phases of the software development lifecycle. It is the practice of focusing on quality early by testing sooner, shorter test cycles, and working toward prevention rather than detection.
One purpose of monitoring is to gain high availability by reducing the number of critical time-based metrics –
- Development teams receive comprehensive diagnostic data about the problems through automatic monitoring when performance or further difficulties occur. That calls for detecting (TTD).
- DevOps teams use the information to resolve the problems so that users are not inconvenienced promptly. Now is the time to mitigate (TTM).
- Teams track resolution times and strive to enhance over time. Following mitigation, teams focus on resolving problems at their source, not repeating them. Now is the moment to remediate (TTR).
Benefits of DevOps monitoring tools
Continuous monitoring assists DevOps teams in initiating prompt responses to all types of application issues. Also, avoid unexpected outages that negatively affect the customer experience, attain strategic enterprise goals and performance targets. Hence, improving the visibility of the performance targets.
Continuous monitoring abilities are further subdivided into three types –
- Infrastructure monitoring refers to the tools and methods used to keep track of the data centers, networks, hardware, and software required to supply products and services.
- Application monitoring guides the tools and techniques to monitor the health and performance of deployed apps in a live environment.
- Tools and techniques for monitoring network activities and components, including servers, firewalls, routers, and switches, and detecting security risks are known as network monitoring.
10 DevOps Tools for Continuous Monitoring
Below-defined are the top 10 DevOps tools for continuous monitoring –
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.
Conclusion
The above article will provide you with all the needed information on the top monitoring tools in DevOps. Now you might have got a perfect idea of what monitoring tools are and how they can get into use.