Performance monitoring tools are essential for ensuring the optimal operation of applications and infrastructure. They provide insights into system performance, help identify bottlenecks, and assist in maintaining a seamless user experience. Below is an overview of the top 21 performance monitoring tools, each highlighted with its major features to assist you in selecting the most suitable option for your needs:

1. Dynatrace

Dynatrace offers a unified platform that combines broad and deep observability with continuous runtime application security and advanced AIOps. It provides intelligent automation from data, making it a comprehensive solution for performance monitoring.

2. New Relic

New Relic is an AI-powered all-in-one observability platform that provides engineers with a single source of data and insights across the stack. It breaks down silos between data, teams, and tools to help businesses optimize uptime and boost performance.

3. AppDynamics

AppDynamics, by Cisco Systems, offers deep visibility into application performance and user experience. It excels in monitoring complex, distributed applications and provides powerful analytics and automated remediation capabilities.

4. Datadog

Datadog specializes in providing a comprehensive monitoring platform for cloud applications. It collects data from diverse sources such as servers, containers, databases, and third-party services, aiming to make the stack fully observable.

5. Grafana

Grafana is a multi-platform open-source analytics and interactive visualization web application. It can produce charts, graphs, and alerts for the web when connected to supported data sources, making it a versatile tool for performance monitoring.

6. SolarWinds Server and Application Monitor

SolarWinds provides comprehensive server and application monitoring with features like dependency mapping, which helps in understanding and visualizing relationships between applications and servers. This aids in the quick identification of performance issues.

7. Site24x7

Site24x7 offers monitoring solutions suitable for educational institutions, providing custom dashboards and comprehensive monitoring capabilities for websites, servers, and applications.

8. Honeycomb

Honeycomb is tailored for online games and provides visualized system metrics, helping developers understand and improve application performance through detailed observability.

9. LogRocket

LogRocket is ideal for e-commerce companies, offering insights into user experiences by recording sessions and tracking performance metrics, which helps in identifying and resolving issues affecting users.

10. Coralogix

Coralogix provides real-time insights into application performance, helping teams to proactively identify and resolve issues before they impact users. It offers machine learning-powered anomaly detection and log clustering.

11. Instana

Instana offers automated application performance monitoring for microservice applications, providing real-time visibility and automated root cause analysis to ensure optimal performance.

12. Raygun

Raygun provides error, crash, and performance monitoring for web and mobile applications, helping developers detect and diagnose issues impacting end users. It offers real-user monitoring and detailed diagnostics.

13. Prometheus

Prometheus is an open-source systems monitoring and alerting toolkit, particularly suited for monitoring dynamic cloud environments. It features a multi-dimensional data model and a powerful query language.

14. Nagios

Nagios provides monitoring of systems, networks, and infrastructure, offering alerting services to inform users of issues. It is highly extensible through plugins and has a large community of users.

15. Zabbix

Zabbix is an open-source monitoring solution for networks and applications, offering real-time monitoring, alerting, and visualization features. It supports a wide range of platforms and is known for its scalability.

16. Splunk

Splunk provides a platform for searching, monitoring, and analyzing machine-generated data, offering powerful visualization and analysis tools to gain insights into system performance.

17. Elastic APM

Elastic APM is part of the Elastic Stack, providing real-time application performance monitoring by collecting in-depth performance metrics and errors from inside applications.

18. Pinpoint

Pinpoint is an open-source APM tool for large-scale distributed systems, offering real-time monitoring, visualization of application topology, and detailed call stack analysis.

19. SigNoz

SigNoz is an open-source APM tool that helps developers monitor applications and troubleshoot problems, providing metrics, traces, and logs in a single pane of glass.

20. SolarWinds Network Performance Monitor

SolarWinds offers comprehensive network performance monitoring, providing real-time insights into network availability and performance, helping to quickly detect, diagnose, and resolve network issues.

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1. Native Docker
2. cAdvisor
3. Scout
4. Pingdom
5. Datadog
6. Sysdig
7. Prometheus
8. Heapster / Grafana
9. ELK stack
10. Sensu

Reference

https://rancher.com/comparing-10-container-monitoring-solutions-rancher/

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Reference

• Site24x7

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• Extended functionality via plugins.
• Free and open source.
• Filters are code.
• Great integration with other Elastic products.

• Handles up to 50,000 messages per second at peak time
• Data filtering and alerting
• Apache 2.0 License project
• Simplify and scale data pipeline management with tags
• More than 200 community-contributed plugins
• Real-time monitoring and alerts system
• Store data in multiple systems
• Collect and correlate web server access logs and application error logs

• Text-based logs from any source
• Custom source groups
• Point-and-click trending graphs
• Automated filters and event parsing
• Full-system RESTful API to integrate with other applications
• Unlimited saved searches and users
• Adaptable interface with multiple views, pages and workspaces
• Unlimited custom dashboards based on any search
• Built-in customizable alerts with triggers

• Leverages Java, Scala and ElasticSearch technologies
• Central syslog monitoring
• Interactive API browser
• Application debugging
• Exception monitoring
• API analytics
• Intuitive search interface
• Comprehensive dashboard

5. Splunk

• Works with Hadoop & NoSQL
• Setup standard searches as real-time alerts
• Trigger automatic responses
• Scale from a single server to multiple data centers
• Deployable to on premise sites, hybrid-cloud, and/or private and public cloud based infrastructures
• Securely make data available
• Supports various use cases including log consolidation/retention, security, compliance reporting, and more
• Perform ad hoc queries

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ScriptRock’s GuardRail

As DevOps gets more agile, infrastructure needs unit tests too. Enterprise startup ScriptRock offers cloud-hosted testing configuration tools to get you started.

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iostat reports CPU, disk I/O, and NFS statistics.

mpstat reports processors statictics.
vmstat reports virtual memory statistics.

vxstat – This Utility can be used as well.

iostat reports CPU, disk I/O, and NFS statistics.

The iostat command generates two types of reports, the CPU Utilization report and the Device Utilization report. The first report generated by the iostat command is the CPU Utilization Report.

The report has the following format:

%user – Show the percentage of CPU utilization that occurred while executing at the user level (application).
%nice – provides statistics on a per physical device or partition basis.
Device – This column gives the device name
tps – Indicate the number of transfers per second that were issued to the device. A transfer is an I/O request to the device.
Blk_read/s – Indicate the amount of data read from the drive expressed in a number of blocks per second.
Blk_wrtn/s – Indicate the amount of data written to the drive expressed in a number of blocks per second.
Blk_read – The total number of blocks read.
Blk_wrtn – The total number of blocks written.
kB_read/s – Indicate the amount of data read from the drive expressed in kilobytes per second.
kB_wrtn/s – Indicate the amount of data written to the drive expressed in kilobytes per second.
wrqm/s – The number of write requests merged per second that were issued to the device.
r/s – The number of read requests that were issued to the device per second.
w/s – The number of write requests that were issued to the device per second.
rsec/s – The number of sectors read from the device per second.
wsec/s – The number of sectors written to the device per second.
await – The average time (in milliseconds) for I/O requests issued to the device to be served.
svctm – The average service time (in milliseconds) for I/O requests that were issued to the device.
%util – Percentage of CPU time during which I/O requests were issued to the device.

vmstat reports virtual memory statistics.

The report has the following format:

Procs – r: Total number of processes waiting to run
Procs – b: Total number of busy processes
Memory – swpd: Used virtual memory
Memory – free: Free virtual memory
Memory – buff: Memory used as buffers
Memory – cache: Memory used as cache.
Swap – si: Memory swapped from disk (for every second)
Swap – so: Memory swapped to disk (for every second)
IO – bi: Blocks in. i.e blocks received from device (for every second)
IO – bo: Blocks out. i.e blocks sent to the device (for every second)
System – in: Interrupts per second
System – cs: Context switches
CPU – us, sy, id, wa, st: CPU user time, system time, idle time, wait time

mpstat reports processors statictics.

reports processors statictics(mpstat – Report processors related statistics and mpstat displays CPU statistics )

mpstat :- mpstat displays CPU statistics
mpstat -A :- Display all information
mpstat -P ALL :- Display CPU statistics of individual CPU (or) Core

Reference:
http://www.linux-tutorial.info/modules.php?name=ManPage&sec=1&manpage=iostat
http://www.thegeekstuff.com/2011/07/iostat-vmstat-mpstat-examples/

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Software development has traditionally suffered from producing end products with a definite lack of inherent quality. The symptoms of this quality lack are listed here:

• Software development projects are often delivered late and over budget.
• Often the delivered product does not meet customer requirements and is never used.
• Software products simply do not work right.

As we look into the symptoms of our software development malaise, five principal issues related to software development arise.

Lack of Visibility
Software is conceptual in nature. Unlike a bridge, a building, or another physical structure, it is not easy to look at software and assess how close it is to completion. Without strong project management, “software is 90% complete 90% of the time.” Through the adoption of SCM policy and the definition of the configuration management model of the software under development, all CIs, components, and subcomponents are immediately visible for versions, releases, and product families.

Lack of Control
Because software is inherently intangible, it is also more difficult to control. Without an accurate assessment of progress, schedules slip and budgets are overrun. It is hard to assess what has been accomplished and what remains to be done. SCM provides the mechanism for controlling the project through measuring the amount of effort compared to the project management plan and estimating the future effort based on past work.

Lack of Traceability
A lack of linkage between project events contributes to project failures. The main benefit of SCM is providing the traceability among versions, releases, and product families. The value of this traceability is enormous when a problem arises in one release or product family that impacts other client releases and products. Making one change and promoting that through the entire product software base is an incredible cost savings in time, money, and client good will. A lack of linkage between project events contributes to project failures where solving one problem either exacerbates a problem in another area or fails to fix the same problem elsewhere. A traceability thread allows management to examine the chain of events that caused a project to encounter difficulty as an integral process within the auditing capability of SCM. A project becomes a year late one day at a time unless the effort reported on the schedule maps to the actual work being done and traced within the software configuration management system.

Lack of Monitoring
Without traceability and visibility, monitoring of software development projects becomes extremely difficult. Management cannot make informed decisions, and thus schedules slip further and costs continue to exceed budget.
There is no way to monitor a project when the project manager has no tools to look into the actual product development within the project. SCM provides the tools that open up the process to external monitoring. With SCM in place and a policy of traceability and visibility accepted, monitoring of software development projects becomes a simple part of the overall project management task. Management makes informed decisions avoiding schedule slips and budget excesses through the monitoring available with SCM tools and the integral workings of the CCB.

Uncontrolled Change
Software is very malleable; it is idea-stuff, and customers constantly have new ideas for it. People would rarely ask a bridge constructor to make the kinds of changes midproject that software customers tend to request. The impact of such changes can be just as great. All SCM tools, along with the CCB, support a mechanism for appropriate change control.

SCM Interacts with Verification and Validation
SCM is most important, and most often neglected, during V&V activities, which include software testing. It is employed in tracking which module versions are included in a particular system build, as well as which tests have been run. The results of the tests are tied directly to the modules or subcomponents being tested. Many times there are “action items” resulting from the tests. SCM tracks the action item status, so overall system status can be assessed well before final builds and releases are done.
Verification and validation testing are supported through the four basic SCM processes: identification, control, auditing, and status accounting. Let’s look at examples of V&V testing in the context of each of these components.

SCM Identification Benefits to V&V

• Automatic preparation of release notes
• List of changed software modules
• Definition of development baseline
• Generation of incident reports
• Definition of operational baseline
• Control of the configuration item identification
• Management of CCB meetings
• Prioritization of test and incident issues
• Establishment of turnover dates
• Approval of audit and test reports
• Approval of incident report resolutions

SCM Auditing Benefits to V&V

• Comparison of new baseline to previous baseline
• Assurance that standards have been met
• Audit trail of the testing process (verification, validation, and acceptance) of the software system
• Documentation of experience with technical aspects of system engineering or software engineering

SCM Status Accounting Benefits to V&V

• Logging and tracking of incident reports
• Publication of CCB minutes

With all of these potential benefits of SCM, project managers must address real-world considerations. Management commitment is the real key to implementing SCM on a specific project in a given organization. By treating the implementation of SCM as a project, the project plan must start at the top to secure commitment to checks and balances. Now is the time to bring out the organization’s list of project disasters to draw on management experience with their previous software project difficulties. If there are no historic disasters in the organization, or if it is inappropriate to discuss them, refer to literature articles that provide accounts of project disasters (refer to the Web resources at the end of this chapter). Finally, after putting a notional return-on-investment financial argument in place, explain the intangible benefits of SCM.
One of the major sources intangible benefits is auditing. Auditing can be a heavy consumer of configuration management resources, and management may question the benefit of this kind of expenditure. Auditing pays for itself through the avoidance of larger, unnecessary expenses. Savings of 100:1 (large projects) or 4–6:1 (small projects) are obtained by finding and fixing problems early in the life cycle. The auditing process in SCM uncovers the areas where a little more effort or control will result in higher-quality software products and lower overall project costs.
There can be audit compromises to reduce costs. As a project manager, plan audits based on both the phases of the life cycle and the frequency of builds, versions, releases, and product families. Auditing each baseline in a project while reducing the depth of each audit maintains some traceability with loss of visibility.
Eliminating one or more audits (installation baseline, for example) maintains visibility but slightly impacts traceability.

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