The development and operations teams no longer operate in silos thanks to DevOps, which enhances teamwork and the software delivery process. However, teams need platforms to identify issues quickly when production difficulties arise. They require DevOps monitoring tools for it.
Through the integration of data from several sources into a dashboard that displays performance, availability, and use metrics, DevOps monitoring tools simultaneously track the performance of the system, network, and applications. We’ll outline the top 16 DevOps performance monitoring systems for you to use.
- What Does DevOps Monitoring Entail?
- Types of DevOps Monitoring
- The Best 16 DevOps Monitoring Tools
- Best Techniques For Monitoring DevOps
What Does DevOps Monitoring Entail?
Metrics about your team, infrastructure, and software are tracked via DevOps monitoring. It should, in theory, define and assess performance at each developmental stage. DevOps monitoring solutions use information from your applications and network to provide a real-time picture of the security and efficiency of your company. Planning for IT can then be informed by this data.
Monitoring the performance of IT systems and apps requires DevOps monitoring. It is able to monitor the general well-being of your company using sufficient data. Additionally, monitoring aids developers in preventing problems from spiraling out of hand. Debugging and process tracking can be automated as your DevOps monitoring gets better.
Types of DevOps Monitoring
Your software development performance is examined from several perspectives via DevOps monitoring. Among the most popular forms of DevOps monitoring are:
Tools for monitoring your backend server performance are part of DevOps. This monitoring keeps tabs on, finds, and gathers information on your resources and infrastructure.
Monitoring of Application Performance
These DevOps monitoring tools request completeness, response time, and app performance. They let you swiftly identify and address problems with your apps.
Teams must monitor data entering and leaving your network. Teams may detect network issues before they have an impact on consumers by using this kind of monitoring tool, which examines your network’s bandwidth, uptime, and bottlenecks.
In DevOps, tracking resource consumption and cost per unit, client, or project is essential. It lets you estimate costs, monitor resource usage, and figure out R&D capitalization.
DevOps continuous security monitoring is an automated procedure that finds cybersecurity risks and compliance problems.
The Best 16 DevOps Monitoring Tools
Sixteen of the greatest tools available are listed here. Choose the ideal platform for you by looking through our collection of DevOps monitoring tools.
Note: User ratings, important features, and advice from software developers experienced with these technologies formed the basis of our rankings.
Flow provides managers with the means to optimize their operations while keeping an eye on DevOps data. Within a single, configurable dashboard, the platform records industry-standard software development KPIs, DORA analytics, and investment data. By utilizing this process data, teams may lessen effort wastage and developer friction.
Flow enables teams to make use of data, whereas many DevOps technologies track it. In particular, it prioritizes workforce development by keeping an eye on the performance of DevOps teams. Using this Flow data, engineering leaders can support their teams and enable them to produce more dependable and high-quality products more quickly.
In summary, Flow provides a multitude of insights and applies them to practical enhancements.
- Easy setups that allow groups to customize DORA metrics to fit certain work processes
- When extracting data from several sources, lightweight signals like git tags and team-level ticket filters may be used without having to rewrite procedures.
- Drill down features to identify the underlying causes of problems causing friction in your workflow
Cloud application monitoring in distributed systems is InfluxDB’s area of expertise. The tool is designed to view statistics over time using data that is based on time series. The software suggests strategies to enhance your infrastructure by monitoring these KPI changes.
Users may discover accurate and adaptable ways to query metrics with the help of the platform’s query language, InfluxQL. You are able to view your systems and processes from different perspectives thanks to this flexibility.
- Integration of the alert function with Slack and PagerDuty
- Maximum quantity of time series data you can store
- specialized language for queries
Designed for DevOps teams, Prometheus is an open-source, community-driven end-to-end monitoring system. Notifications may be sent, and graphs with all the data from your teams can be customized. The tool is widely used by enterprises for monitoring applications and infrastructure. The application may also warn your team about system disruptions with personalized notifications by integrating Prometheus’ Alertmanager.
- Simple to program for improvements and additional features
- collects info on time series
- uses a single server node rather than a distributed storage system
Three open-source technologies are combined into one platform, Elastic Stack, formerly known as ELK, which is excellent at searching through logs. The tool is based on Kibana, Logstash, and ElasticSearch. These resources make monitoring, compliance, security, search engine optimization, and troubleshooting easier. Developers seek, store, and analyze data from a variety of sources using this vast reach.
- Flexibility in the gathering, archiving, and examination of log data
- No cost to use
- Tools for exchanging and visualizing data
Splunk uses an intuitive web interface to monitor data generated by machines. Its ongoing tools monitor this data during the whole lifespan of an application. The software then stores this information in a central index for further examination. When teams need to delve deeper into an application’s issues, Splunk performs well.
- Community-based resources for troubleshooting and learning
- Reports are precise to the nearest whole number.
- able to quickly verify odd data changes
Teams may handle logs from many sources with the use of ChaosSearch’s continuous DevOps monitoring. Event data and logs stored in Google Cloud and Amazon S3 buckets can be preserved using the tool’s data indexing and querying methodology. In addition, it can help with machine learning and do full-text searches and SQL queries.
- exclusive indexing technology
- integrates logs into Amazon S3 buckets and Google Cloud Storage
- supports alarms and triggers for infrastructure issues
The monitoring system of Sematext is designed to identify and fix faults rapidly. Teams may get alerts on problems with your network, apps, or infrastructure using personalized and pre-set dashboards. When issues emerge, its frontend and backend monitoring offers practical fixes.
- System monitoring and troubleshooting dashboard that is unified
- Integrated warning system
- dashboards with data visualization and useful insights
DevOps teams may view production, troubleshoot code, and enhance operations with the help of Honeycomb. Additionally, it provides an easy-to-navigate user experience (UX) with drill-down capabilities for metrics. Teams are always able to enhance previous versions since they record live software. The same technology alerts teams to problems and assists in resolving them.
- backs the vendor-neutral, open-source OpenTelemetry standard
- Organization-wide observability
- distributing tracing over several services to identify problems with performance
Sensu keeps an eye on your KPIs, infrastructure, and apps to identify fresh problems and possibilities. The platform’s primary function is to monitor the health of your company in a cloud environment. Although managing all of this may seem overwhelming, the API was created with large-scale, dynamic systems in mind.
- Support for businesses even if it’s open-source
- streamlines procedures
- Enables dynamic client enrollment and unregistration
Data is visually shown interactively using Grafana’s DevOps monitoring. The tool uses panel architecture to accommodate various data display techniques. It may share the results of its monitoring and analysis of data from various sources with other teams. Grafana also provides all of its products in a cloud service, so you don’t need to bother about stack maintenance.
- allows for the annotation of graphs to clarify data
- Playlist settings and kiosk mode aid in the dashboard data display.
- Plug-ins for Zabbix, Admin Panel, and Influx increase functionality.
BigPanda draws information from your infrastructure, cloud servers, and apps to assist DevOps teams in monitoring data from several systems and assembling it into a comprehensive picture of the health of your company. When an alert appears in one place, it creates a single high-level alert by cross-referencing other channels.
- Integrated warnings provide a comprehensive picture of the health of the firm
- Reports and dashboards that may be customized to filter data
- root cause investigations into the origins of situations
CloudZero focuses on cost minimization across the whole development process. By lowering tech debt, the instrument assists you in delivering goods within healthy margins. Engineers may use graphs and charts to gain deeper insight into their development expenses even if they have no prior technical experience. From there, the tool offers advice on how to save expenses wherever it can.
- Data visualization for costs
- monitors problems that increase expenses
- Debugging support
A cloud-based continuous monitoring solution with full-stack observability is offered by New Relic. The platform provides insights on your infrastructure, app or network performance, and user experience. Events, logs, analytics, and traces are also tracked via its mobile monitoring and browser.
- A pay-as-you-go scheme appropriate for small companies
- Corrections made automatically in root cause analyses
- Users can handle up to 100 GB of free data every month.
Icinga is an open-source platform that verifies that different software components operate as intended and assesses how well they do so. With its automated tests, every part of your infrastructure—from servers to apps—can be examined. Icinga is compatible with Nagios’ files and plug-ins because it is based on Nagios.
- Tools for alerts and reports
- suitability for a large variety of plug-ins
- Frequently verify the availability of network resources
Nagios keeps an eye on IT systems, networks, and servers. Its alerting function is used by DevOps teams to communicate errors in your apps or infrastructure. Because it can monitor any device with an IP address, these warnings are dependable.
- aids in creating unique plug-ins according to your production needs
- enables you to ping any device within an establishment.
- monitors network devices to check for problems with overloading
Tasktop Integration Hub
Tasktop combines all of the tools used by your company, such as automated cost testing, planning tools, and debugging software, into a single program. Its interface also makes sure that, when necessary, you may provide the appropriate information to the appropriate teams for efficient development.
- incorporates new tools quickly
- small size and less need for additional tools
- able to filter data according to client specifications
Best Techniques For Monitoring DevOps
You should make the most of your DevOps monitoring tool once you’ve chosen the best one. To get the greatest outcomes, adhere to following recommended practices:
Attempt constant observation: Continuous tools monitor risks before they have an impact on users. DevOps continuous monitoring technologies can help you save money and preserve your brand by preventing noncompliance penalties or breaches. SecDevOps heavily relies on this additional security.
Sync up your technology stack: Using integrations, you may synchronize many tools in real-time. An enhanced understanding of your operations is provided by this combined data.
Seek out debugging capabilities. Debugging tools assist developers in quickly locating and fixing errors.
Give end-to-end observability top priority: Every phase is tracked, from requirements collection to release, with end-to-end visibility. Tracking each manufacturing step aids in identifying more subtle problems.
Hasten troubleshooting and remediation: DevOps monitoring should do more than simply identify problems; it should also provide solutions. By speeding up troubleshooting, you may resume production as quickly as feasible.
Give scalability and adaptability top priority. Your tools should adapt as your firm expands. With scalable tools, you can change without having to replace your technology stack.
Appic Softwares will be a crucial ally for anybody negotiating the intricate world of DevOps Monitoring technologies in 2024. Understanding how important it is for development and operations teams to work together seamlessly, Appic Softwares is excellent at creating apps that connect with the top 16 DevOps monitoring tools listed. Because of the company’s experience, clients may manage metrics, improve performance, and keep a strong IT infrastructure by utilizing products like Pluralsight Flow, InfluxDB, Prometheus, and others. Appic Softwares is at the forefront of the DevOps evolution, offering customized solutions that support end-to-end observability, scalability, synchronization of the technological stack, debugging capabilities, and continuous monitoring. Clients can confidently traverse the dynamic world of DevOps with Appic Softwares, guaranteeing high-performance, secure, and efficient software delivery.
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