15 Top DevOps Monitoring Tools Made For Engineering Success (2022)

15 Top DevOps Monitoring Tools Made For Engineering Success (1)

DevOps is a practice that aims for continuous improvement, rapid delivery, and cost optimization — combining several engineering best practices to execute successfully.

As a result, DevOps requires a diverse set of engineers to support the practice within an organization. Implementing DevOps at an enterprise level often requires a team of platform engineers, automation engineers, build and release engineers, data analysts, database engineers, and product managers.

Yet, DevOps best practices emphasize using the right tool for the right engineering task.

In this guide, we’ll cover the importance of DevOps monitoring — including what exactly you should look to monitor, as well as the tools you can use to be successful.

Table Of Contents

  • What Is DevOps Monitoring? (And Why Is DevOps Important To Monitor?)
  • Types Of Monitoring In DevOps: What Should You Monitor?
  • The Best DevOps Monitoring Tools — Organized By Category

What Is DevOps Monitoring?

DevOps monitoring refers to the continuous, automated process of identifying, tracking, analyzing, and reporting on specific components of the entire pipeline. The pipeline comprises continuous planning, continuous development, continuous integration, continuous testing, continuous deployment, and operations.

Continuous Monitoring (CM) and Continuous Control Monitoring (CCM) are terms engineers also use to refer to DevOps monitoring.

Monitoring DevOps increases development efficiency by allowing teams to find potential issues before releasing code to production. Engineers in DevOps can accomplish this in Sprints, which involve planning, designing, developing, testing, deploying, and reviewing a set amount of work within a specified period.

The benefits justify the effort. With DevOps monitoring, you can:

  • Define, track, and measure actual key performance indicators across all aspects of DevOps.
  • Increase the observability of various components of your DevOps stack so you can identify when they degrade in performance, security, cost, or other aspects.
  • Detect and report anomalies to the relevant teams quickly so they can resolve issues before they affect the user experience.
  • Analyze logs and metrics to uncover root causes as quickly as possible. Tracking logs and metrics can help pinpoint where an issue started or occurred. As a result, your Mean Time To Detection (MTTD), Mean Time To Isolate (MTTI), Mean Time To Repair (MTTR), and Mean Time To Recovery (MTTR) can improve.
  • Respond to threats on-call or automatically using a variety of tools.
  • Find opportunities for automation throughout the DevOps process that will improve engineers' DevOps toolchains and efficiency.
  • Identify patterns in system behavior that a DevOps engineer should be on the lookout for in the future.
  • Create a continuous feedback loop that improves collaboration among engineers, users (internal and external), and the rest of the organization.

Overall, DevOps monitoring helps ensure an organization follows best practices throughout the DevOps lifecycle to maintain optimal customer experiences at the lowest cost.

Types Of Monitoring In DevOps: What Should You Monitor?

Continuous monitoring in DevOps comes in four forms:

  1. Infrastructure monitoring
  2. Application monitoring
  3. Network monitoring
  4. Cost monitoring

Here are brief descriptions of each:

Infrastructure monitoring

Infrastructure monitoring involves detecting, tracking, and compiling real-time data on the health and performance of the backend components of your DevOps tech stack. Those components include servers, databases, virtual machines, and containers, among other computing components in a system.

There are two types of infrastructure monitoring:

  • In agent-based infrastructure monitoring, engineers install an agent (software) on each of their hosts, either physical or virtual. The agent collects infrastructure metrics and sends them to a monitoring tool for analysis and visualization.
  • Agentless infrastructure monitoring doesn’t involve installing an agent. Instead, it uses built-in protocols such as SSH, NetFlow, SNMP, and WMI to relay infrastructure component metrics to monitoring tools.

Each approach has its advantages and disadvantages. For example, agent-based monitoring collects more in-depth data because it is designed specifically for a particular monitoring platform. On the flip side, if you want to migrate to another platform, the agent may not be compatible with your new platform, resulting in data loss.

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Several infrastructure components, including VMs (such as Hyper-V and VMware), servers, networking, storage, and flow devices, come with built-in agentless monitoring capabilities. You can also manage these components' monitoring centrally. You can combine the two approaches to build a comprehensive monitoring strategy.

Application monitoring

This ongoing process involves monitoring an application's performance and availability, along with the effects the two have on the user's experience. A monitoring application tracks your app's hardware utilization, SLA status, platform performance, and user response times.

Among the metrics, DevOps engineers can monitor here are server diagnostics, error logs, network traffic reports, historical statistics, and failure diagnostics.

Network monitoring

The software and hardware engineers use here enable them to monitor the health and performance of network components, such as switches, servers, and routers. A network monitoring system tracks bandwidth, uptime, and bottlenecks, such as failing switches or routers.

Monitoring tools perform periodic checks to enable engineers to detect failing or failed incidences before they can affect user experiences.

Cost monitoring

The DevOps pipeline involves a multitude of changes that can cause significant cost overruns, so tracking costs throughout is essential. Thus, any cloud cost anomalies will not surprise you with a hefty bill.

Monitoring costs involves identifying resource usage. Besides real-time metrics, some advanced cost intelligence tools can collect exact costs per unit and per customer or project and transmit that information to engineers and finance.

With this capability, you can forecast cost of goods sold (COGS), secure gross margins, and optimize resource utilization throughout different phases of DevOps.

So, what are the best tools for continuous monitoring in DevOps?

15 DevOps Monitoring Tools By Category

DevOps tools offer several potent benefits:

  • A DevOps tool automates repetitive tasks. You can use this to free your engineers up so they can focus on only the most critical tasks, such as patching security threats or releasing advanced features more quickly to boost your organization's competitiveness.
  • Reduce human error to release reliable code more quickly.
  • Improve the software development process using Continuous Integration and Continuous Development (CI/CD).
  • Combining these DevOps benefits optimizes costs.

Here are some of the top monitoring tools you can use, organized into several DevOps categories.

Open-source DevOps monitoring tools

If you are on a tight budget or want continuous monitoring that you can customize, open-source software may be helpful. Here are four examples:

1. Nagios

15 Top DevOps Monitoring Tools Made For Engineering Success (2)

A pioneering DevOps monitoring tool, Nagios offers server, application, and network monitoring capabilities. It can track any device with an IP address. It also monitors multiple server services, including POP, SMTP, IMAP, HTTP, and Proxy under Linux and Windows. It enables application monitoring as well, including CPU, swap, memory, and load analysis.

Nagios is a free download, has a simple web interface, and supports over 5,000 server monitoring integrations. The free, open-source version of Nagios is called Nagios Core. The paid version, Nagios XI, monitors infrastructure, applications, networking, services, log files, SNMP, and operating systems.

2. Prometheus

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Prometheus is also downloadable. It comprises several monitoring tools useful in a DevOps culture, such as alerting, saving time series on local disks or memory, and displaying data graphically (with Grafana). It also supports many integrations, libraries, and metrics types.

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Take a look at SysDig if you prefer a managed enterprise Prometheus monitoring service.

3. Zabbix

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A top Nagios alternative, Zabbix also monitors real-time network traffic, services, applications, clouds, and servers. You can also run it on-premises or in the cloud. Zabbix 5.4 features improved distributed monitoring, high availability, and support for many types of monitoring metrics, allowing you to scale your monitoring capabilities in a continuously evolving culture like DevOps.

4. Monit

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If you are looking for a small monitoring solution for Unix systems, Monit can help. In Monit, you can observe daemon processes, especially those that start at system boot from /etc / init /, such as apache, sshd, sendmail, and MySQL.

Monit also offers error detection and alerting as well as monitoring for filesystems, directories, and files on the localhost. Also, you can use it to monitor cloud, host, and systems, including various internet protocols (HTTP, SMTP, etc.) and CPU and memory usage, as well as load average.

Application, network, and infrastructure monitoring tools

The following tools offer a nearly “all-in-one” solution for continuous monitoring.

5. Sensu by Sumo Logic

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Sensu's monitoring as code solution provides health checks, incident management, self-healing, alerting, and OSS observability across multiple environments. You can codify monitoring workflows in declarative configuration files and share them with your engineers.

You can also treat them like code, which means you can review, edit, and version them. Sensu Go is not only scalable, but it also integrates with other DevOps monitoring solutions like Splunk, PageDuty, ServiceNow, and Elasticsearch.

6. Splunk

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Splunk's continuous monitoring features let enterprises monitor the entire application lifecycle. It provides real-time infrastructure monitoring, analytics, and troubleshooting capabilities for on-premises, multi-cloud, and hybrid environments. Also included are real-time alerts, full-stack visibility, Kubernetes monitoring, visualization, scaling, and monitoring automation in one place.

Splunk's online community of over 13,000 active users and over 200 integrations can be a great source of support and customization as well.

7. ChaosSearch

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If you are comfortable using Amazon S3 or Google Cloud Storage buckets as your backend storage, ChaosSearch makes it easy to collect, aggregate, summarize, and analyze metrics and logs. You can also set up triggers and alerts to send engineers timely notifications about anomalies and monitor infrastructure components, including servers, load balancers, and services.

It also monitors Kubernetes or Docker containers. As well as allowing storage-based isolation on Amazon S3, it supports SSO and RBAC data protection.

8. Sematext

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Sematext is an all-in-one monitoring solution designed for DevOps teams who need to monitor both back-end and front-end logs, performance, APIs, and the health of all computing environments.

You can also monitor real users, devices, networks, containers, microservices, and databases. Still, you can set up log management, synthetic management, and triggers and alerts. Sematext's dashboards enable users to visualize all data and derive actionable insights from it.

9. Elastic Stack (ELK)

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Engineers can store, search, and analyze data from multiple sources with Elastic Stack, a more sophisticated version of the popular DevOps tool, ELK. Logs, SIEM, endpoints, metrics, uptime, and APM with security are among ELK's use cases.

ELK is an acronym that stands for ElasticSearch, Logstach, and Kibana, its three key components. Elasticsearch allows you to ingest data from any source, in any format, and simultaneously feed it to Logstash. Logstash processes the data on the server-side while Kibana visualizes and shares the transformed and stored data.

Honorary Mentions: LogicMonitor, New Relic, Dynatrace, DataDog, Sumo Logic, and BMC Helix Operations Management.

Data aggregation and cross-domain enrichment tool

This category includes a new generation of AIOps tools that leverage artificial intelligence and machine learning techniques to enrich telemetry data. AIOps tools help identify issues in your enterprise system by automatically collecting massive amounts of data from multiple sources.

10. Big Panda

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BigPanda's event correlation algorithms automate the process of aggregating, enriching, and correlating alerts from various infrastructure, clouds, and applications. It reduces alert noise by combining different alerts into one, high-level incident. It also sends alerts via pre-defined channels, such as ticketing, collaboration, and reports.

Source code control tools

DevOps is characterized by multiple teams working on code simultaneously to foster rapid and frequent application updates. The continuous improvement results in many code changes. Teams must be able to ensure all engineers are using the same version of source code. Source code control tools help with that.

11. Git (GitHub, GitLab, and BitBucket)

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Many DevOps teams use Git as their source code management platform. Its local branching model, multiple workflows, and staging areas make it a popular alternative to Mercurial, CVS, Helix Core, and Subversion.

It is installed locally, however. GitHub allows for remote teamwork and distributed source code control in the cloud. Bitbucket and GitLab are both suitable for enterprise use cases.

Monitoring CI/CD pipelines and configurations

Jenkins, RedHat Ansible, Bamboo, Chef, Puppet, and CircleCI are some of the best CI/CD tools out there. Monitoring the CI/CD pipelines of these tools can increase visibility into your pipeline in all environments, whether it is in development, test, or production.

12. AppDynamics

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There are several tools and methods for getting visibility at the code level. As an example, you can use Jenkins with Prometheus (ingest and store) and Grafana (visualization). Or you can use an end-to-end continuous monitoring solution for your CI/CD pipeline, such as AppDynamics or Splunk.

AppDynamics provides real-time customer and business telemetry, enabling you to monitor infrastructure, services, networks, and applications with multi-cloud support. It also offers visibility into Kubernetes, Docker, and Evolven. It also provides root-cause diagnostics, a pay-per-use pricing model, and hybrid monitoring.

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Test server monitoring

A test monitor evaluates an ongoing test and provides feedback. In addition, test progress monitoring and control involve several techniques and components that ensure the test meets specific benchmarks at every stage. Selenium is an excellent example of a test progress monitoring tool.

13. Selenium

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Selenium is an open-source tool for automating web apps for testing. But you can do more with it. Using Selenium WebDriver, for instance, you can automate regression tests and suites using browser-based regression tests that are scalable and distributed across multiple environments.

Selenium Grid provides a central point from which you can distribute and run tests at scale (several machines, various OS/browsers, and many environments). Selenium IDE is the Firefox, Chrome, and Edge add-on that will let you do simple record and playback of interactions with the browsers.

Selenium alternatives include Ranorex and Test.ai.

Alarm aggregation and incident management

There are several enterprise-grade tools available that can aggregate and cross-analyze data. Even though BigPanda can aggregate data from multiple sources, PageDuty is a suitable solution for DevOps teams who need on-call management, incident response, event management, and operational analytics.

14. PagerDuty

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PageDuty is a dispatching service that also aggregates alarms without creating alert noise. By offering an easy-to-use GUI and well-organized data, it helps show correlations between events.

It integrates monitoring systems, customer support, API management, and performance management. Since it supports over 550 integrations, you can connect nearly any monitoring tool or log management tool as long as they can start REST calls or send emails. The integrations include AppDynamics, Microsoft Teams, AWS, ServiceNow, and Slack, which you might be already using.

Alternatives to PageDuty include ServiceNow and Slack.

Continuous cost monitoring for DevOps

While some cost optimization tools offer traditional cost reporting, more advanced cloud cost intelligence platforms provide rich insights in the context of your business — like CloudZero.

15. CloudZero

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Whether you are an engineer, manager, or part of a DevOps team, CloudZero has powerful features you will love.

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With CloudZero, you will be able to:

  • Track code changes to learn how they may affect your AWS bill.
  • Provide relevant views of products and features you can find without tagging endlessly.
  • Detect spikes in dev teams and product features automatically and notify the right people via Slack or email so you can fix anomalies in time to avoid exceeding your Amazon Web Services budget.
  • Analyze costs in relation to events, such as deployments, to see how your engineering activities affect profitability.
  • Give you more context than any other source. Since CloudZero is more like an APM tool than a cost tool, it allows you to zoom in on details such as how much you spend to support a particular customer, which features your users use most, and who your least profitable customer is.
  • You can also map costs to a product, feature, project, or team, so you know how much to charge for services to protect your gross margins.
  • Monitor Snowflake and Kubernetes costs.

15 Top DevOps Monitoring Tools Made For Engineering Success (18) to see these and more benefits in action.

FAQs

What is continuous monitoring tool in DevOps? ›

Continuous monitoring in DevOps is the process of identifying threats to the security and compliance rules of a software development cycle and architecture. Also known as continuous control monitoring or CCM, this is an automated procedure that can be extended to detect similar inconsistencies in IT infrastructures.

What is DevOps monitoring? ›

In software development, DevOps monitoring is the practice of tracking and measuring the performance and health of systems and applications in order to identify and correct issues early. This includes collecting data on everything from CPU utilization to disk space to application response times.

Is Jira a DevOps tool? ›

Open DevOps is powered by Jira Software, the #1 tool used by agile teams. Teams can focus on building and operating software while Open DevOps integrates Atlassian and partner tools automatically.

Is splunk a DevOps tool? ›

Splunk product enables real-time DevOps monitoring across all stages of the delivery life cycle, helping you to deliver better apps and more business impact faster. With Splunk, you can give different teams shared visibility into the performance of applications and infrastructure health without any data silos.

Is Kubernetes a DevOps tool? ›

Kubernetes is the most popular container orchestration platform, and has become an essential tool for DevOps teams. Application teams can now deploy containerized applications to Kubernetes clusters, which can run either on-premises or in a cloud environment.

What is continuous monitoring tools? ›

Continuous monitoring, sometimes referred to as ConMon or Continuous Control Monitoring (CCM) provides security and operations analysts with real-time feedback on the overall health of IT infrastructure, including networks and applications deployed in the cloud.

Is Chef continuous monitoring tools in DevOps? ›

An Imperative Language is used by Chef monitoring tools to manage the effective configuration. This monitoring tool provides DevOps and IT teams the free hand to program every aspect of their nodes as well as a great customization facility.

Which are the three basic tools for monitoring? ›

There are three basic categories of monitoring; technical monitoring, functional monitoring and business process monitoring.

What are the monitoring tools? ›

Monitoring tools are used to continuously keep track of the status of the system in use, in order to have the earliest warning of failures, defects or problems and to improve them. There are monitoring tools for servers, networks, databases, security, performance, website and internet usage, and applications.

What are the three important DevOps KPIs? ›

DevOps Metrics and KPIs: How To Measure DevOps Effectively?
  • 1: Deployment frequency.
  • 2: Change failure rate.
  • 3: Mean Time to Recovery (MTTR)
  • 4: Lead time.
  • 5: Change volume.
  • 6: Defect escape rate.
  • 7: Customer tickets.
  • 8: DevOps Resources.

What is the monitoring tool used in Azure? ›

Microsoft combined three unique services—Azure Monitor, Log Analytics, and Application Insights—under the umbrella of Azure Monitor to provide powerful end-to-end monitoring of your applications and the components they rely on. Log Analytics and Application Insights are now features of Azure Monitor.

Is Nagios a DevOps tool? ›

Nagios monitors your entire IT infrastructure to ensure systems, applications, services, and business processes are functioning properly. It is integral to the DevOps lifecycle and is a must for DevOps Certification.

Why monitoring is important in DevOps? ›

Monitoring in Devops covers a diverse range of processes, including planning, development, testing, deployment, and operations. It offers a comprehensive and real-time view of the status of the production environment with insights into applications, infrastructure, and services.

What are monitoring strategies? ›

A monitoring strategy is a framework within which you can plan your monitoring and reporting. An integrated strategy should provide for the different types of monitoring you do and identify connections with monitoring carried out by other organisations.

What is sensu monitoring? ›

Sensu is a cloud-based network monitoring solution that assists businesses of all sizes with performance data collection and diagnostics. Its key features include server performance, bandwidth monitoring, uptime monitoring, network resource management and event logs.

Why Jira is better than DevOps? ›

Azure DevOps and Jira are both helpful tools for software development teams. Jira uses Agile methodologies, offers additional search functionality and can be used beyond software development projects. Azure DevOps can be used by cross-functional teams throughout the entire lifecycle of a software application.

How many tools are used in DevOps? ›

To make it simple for DevOps teams, we have put together a list of 10 DevOps tools that can be used to achieve a successful DevOps transformation.

Is Docker a DevOps tool? ›

The Docker tool was designed for developers and system administrators, an essential part of DevOps. With Docker, developers can focus on application development rather than being worried about the platform where it will run.

Which is better Datadog or Splunk? ›

However, while Splunk wins hands down on breadth of management, Datadog comes out ahead on depth – at least across a limited feature set. Purely within APM and cloud services, Datadog offers better drill down and general management capabilities.

Is Datadog like Splunk? ›

The Datadog tool is a performance measurement tool for the cloud service that helps to measure the performance of databases and servers. The Splunk tool is a type of log management tool which allows to analyze the log files generated from the machine and convert raw data to some human-readable form.

What are the five levels of DevOps practice? ›

  • DevOps is cultural and technical. ...
  • Phase Zero: You haven't started DevOps. ...
  • Phase 1: DevOps in pockets. ...
  • Phase 2: Automation. ...
  • Phase 3: Pipeline. ...
  • The web hosting maturity scale. ...
  • Phase 4: Blended architecture. ...
  • Phase 5: Continuous deployment.

Is Ansible better than Kubernetes? ›

Ansible is an excellent useful tool for front-end developers, particularly in situations where some programming is required. Kubernetes is best suited to developing larger apps. Based on the properties of both tools, it's like comparing apples to oranges.

Why Ansible is used in DevOps? ›

Ansible for DevOps

Ansible helps automate the implementation of internally generated applications to your production programs to make DevOps easier. For orchestration, automation, configuration, and management of IT infrastructure, Ansible is the most popular DevOps tool.

Is terraform better than Ansible? ›

In terms of use cases, Terraform is preferable for containerized solutions deployed for provisioning software within a cloud platform. In comparison, Ansible helps users gain reasonable control over enterprise devices and explore methods for deploying underlying components.

What is Prometheus monitoring? ›

Prometheus is an open-source technology designed to provide monitoring and alerting functionality for cloud-native environments, including Kubernetes. It can collect and store metrics as time-series data, recording information with a timestamp. It can also collect and record labels, which are optional key-value pairs.

What is an example of continuous monitoring? ›

The three most common types of continuous monitoring activities are: vulnerability assessments; vulnerability scans; and penetration tests.

Which tool is used for building in DevOps? ›

Gradle can be used to automate a variety of tasks, such as building and testing code, managing dependencies, and deploying applications. By automating these tasks, Gradle can help to improve the efficiency of DevOps workflows. Gradle can also be used to manage dependencies.

How do you measure success of DevOps? ›

6 proven metrics for DevOps success
  1. Availability and uptime. ...
  2. Work in progress. ...
  3. Repository speed. ...
  4. Deployment frequency. ...
  5. Deployment stability. ...
  6. SonarQube metrics.

What is MTTR in DevOps? ›

Mean-time-to-resolve (MTTR) can provide insight into how effectively your DevOps team responds to incidents and how reliable your software is. It's difficult to know how your team can improve or determine a performance baseline if you don't have data to analyze your incident management workflows.

What are the two critical components of DevOps? ›

Automation and DevOps

DevOps is a practice where you have to rely on automation to help ensure that your projects run efficiently and smoothly. Continuous integration and continuous deployment are two practices that are essential to getting the best out of DevOps.

What is Nagios tool? ›

Nagios is an open source monitoring system for computer systems. It was designed to run on the Linux operating system and can monitor devices running Linux, Windows and Unix operating systems (OSes). Nagios software runs periodic checks on critical parameters of application, network and server resources.

Is Jenkins a DevOps tool? ›

Jenkins is an open source continuous integration/continuous delivery and deployment (CI/CD) automation software DevOps tool written in the Java programming language. It is used to implement CI/CD workflows, called pipelines.

How many types of DevOps are there? ›

Some people group DevOps goals into four categories: culture, automation, measurement, and sharing (CAMS), and DevOps tools can aid in these areas.

What are the 4 types of monitoring? ›

We describe and label four types of monitoring—surveillance, implementation, effectiveness, and ecological effects—that are designed to answer very different questions and achieve very different goals.

What are the four monitoring strategies? ›

Four strategies for implementing machine monitoring equipment
  • Setting objectives for machine monitoring. ...
  • Prioritizing machines for implementation. ...
  • Developing relevant performance metrics. ...
  • Continuously improving machine monitoring systems.
22 Mar 2022

Is splunk a monitoring tool? ›

Splunk is used for monitoring and searching through big data. It indexes and correlates information in a container that makes it searchable, and makes it possible to generate alerts, reports and visualizations.

Which of the following is the popular monitoring tool? ›

Icinga is a popular server monitoring system that keeps an eye on server performance and the network admin gets instant notification about the current status. Icinga is a branch of Nagios so it has the common functionality which will help in server monitoring. Features: Icinga is an Open Source server monitoring tool.

What are the two main types of monitoring? ›

Types of Monitoring

Results monitoring which tracks whether a project is on target towards its intended results (outputs, outcomes, impact) e.g., Have all the children in a target community actually been immunised? Process (activity) monitoring tracks whether inputs and resources have been used efficiently.

What are the tools needed for monitoring projects? ›

Tools for monitoring a project
  • Network Diagrams. ...
  • Critical Path Method or CPM. ...
  • Gantt Chart. ...
  • PERT Chart. ...
  • Project Management Software for Calendar. ...
  • Project Management Software for Timeline. ...
  • Project Management Software for WBS Diagram or Work Breakdown Structure. ...
  • Project Management Software for Mind Map.

What is an enterprise monitoring tool? ›

Modern enterprise monitoring tools allow you to proactively track and optimize your entire IT stack's performance, from your backend infrastructure to your application traces and logs.

What are the monitoring parameters tools? ›

Monitoring Parameters Monitoring parameters are a select group of constituents that are monitored during each monitoring event that are the waste constituents, reaction products, hazardous constituents, and physical parameters that provide a reliable indication of a release from a waste management unit.

Is Nagios a DevOps tool? ›

Nagios monitors your entire IT infrastructure to ensure systems, applications, services, and business processes are functioning properly. It is integral to the DevOps lifecycle and is a must for DevOps Certification.

What is the monitoring tool used in Azure? ›

Microsoft combined three unique services—Azure Monitor, Log Analytics, and Application Insights—under the umbrella of Azure Monitor to provide powerful end-to-end monitoring of your applications and the components they rely on. Log Analytics and Application Insights are now features of Azure Monitor.

How is splunk used in DevOps? ›

For IT teams adopting DevOps, Splunk software helps improve the velocity, quality and business impact of app delivery. Unlike other solutions that focus on discrete release components, Splunk provides real-time insights across all stages of the delivery lifecycle.

Is Jira a DevOps tool? ›

Open DevOps is powered by Jira Software, the #1 tool used by agile teams. Teams can focus on building and operating software while Open DevOps integrates Atlassian and partner tools automatically.

Which is better Nagios vs zabbix? ›

Dashboard and User Interface

High-quality dashboard. The Nagios Core dashboard provides basic information such as the status of devices but it doesn't offer the same level of clarity and display quality as Zabbix. High-quality dashboard. Zabbix has the edge based on its production value.

Is Jenkins a monitoring tool? ›

The Jenkins monitoring plugin relies on JavaMelody which is a basic metric charting tool. There is a demo of JavaMelody available for those who want to see what it's like. While it does contain a lot of data, the understanding of what is happening in the environment is left for the user to figure out.

How do I monitor Azure DevOps? ›

Configure continuous monitoring

In Azure DevOps, select an organization and project. On the left menu of the project page, select Pipelines > Releases. Drop down the arrow next to New and select New release pipeline. Or, if you don't have a pipeline yet, select New pipeline on the page that appears.

What is Appinsights? ›

Application Insights is an extension of Azure Monitor and provides Application Performance Monitoring (also known as “APM”) features. APM tools are useful to monitor applications from development, through test, and into production in the following ways: Proactively understand how an application is performing.

What is the name of Azure security monitoring tool? ›

Microsoft Sentinel

Use the native security information event management (SIEM) and security orchestration automated response (SOAR) solution on Azure. Receive intelligent security analytics and threat intelligence across the enterprise.

How do you measure success of DevOps? ›

6 proven metrics for DevOps success
  1. Availability and uptime. ...
  2. Work in progress. ...
  3. Repository speed. ...
  4. Deployment frequency. ...
  5. Deployment stability. ...
  6. SonarQube metrics.

What is MTTR in DevOps? ›

Mean-time-to-resolve (MTTR) can provide insight into how effectively your DevOps team responds to incidents and how reliable your software is. It's difficult to know how your team can improve or determine a performance baseline if you don't have data to analyze your incident management workflows.

How does DevOps measure productivity? ›

DevOps Metrics and KPIs: How To Measure DevOps Effectively?
  1. 1: Deployment frequency.
  2. 2: Change failure rate.
  3. 3: Mean Time to Recovery (MTTR)
  4. 4: Lead time.
  5. 5: Change volume.
  6. 6: Defect escape rate.
  7. 7: Customer tickets.
  8. 8: DevOps Resources.

What is Splunk monitoring tool? ›

Splunk is used for monitoring and searching through big data. It indexes and correlates information in a container that makes it searchable, and makes it possible to generate alerts, reports and visualizations.

Is Splunk difficult to learn? ›

Is Splunk Easy to Learn? The courses to learn Splunk are easily accessible online. However, it simply takes time and dedication to learn like any skill. There are many courses available online that you can take in the ease of your own home from your laptop.

Why do we need Splunk? ›

Splunk is a software platform to search, analyze and visualize the machine-generated data gathered from the websites, applications, sensors, devices etc. which make up your IT infrastructure and business.

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Name: Terrell Hackett

Birthday: 1992-03-17

Address: Suite 453 459 Gibson Squares, East Adriane, AK 71925-5692

Phone: +21811810803470

Job: Chief Representative

Hobby: Board games, Rock climbing, Ghost hunting, Origami, Kabaddi, Mushroom hunting, Gaming

Introduction: My name is Terrell Hackett, I am a gleaming, brainy, courageous, helpful, healthy, cooperative, graceful person who loves writing and wants to share my knowledge and understanding with you.