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Download Elastic APM Node.js Agent for free. Elastic APM Node.js Agent. This is the official Node.js application performance monitoring (APM) agent for the Elastic
elastic-apm - Elastic APM agent for Python - GitHub
Management (CSPM) (7th)Ranking in Application Performance Monitoring (APM) and Observability7thRanking in IT Infrastructure Monitoring8thRanking in Log Management15thRanking in Container Monitoring4thRanking in Cloud Monitoring Software7thRanking in other categoriesNo ranking in other categoriesMindshare comparisonAs of March 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 8.9%, down from 11.5% compared to the previous year. The mindshare of Elastic Observability is 5.6%, down from 5.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.Application Performance Monitoring (APM) and ObservabilityFeatured ReviewsUse our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.841,605 professionals have used our research since 2012.Top IndustriesCompany SizeQuestions from the CommunityComparisonsProduct ReportsOverviewSample Customers Find out what your peers are saying about Datadog vs. Elastic Observability and other solutions. Updated: February 2025.841,605 professionals have used our research since 2012.See our Datadog vs. Elastic Observability report. We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
Elastic APM for PHP Apps. Integrate Elastic APM into PHP
HomeDatadog vs. Elastic ObservabilityDatadog and Elastic are both solutions in the Application Performance Monitoring (APM) and Observability category. Datadog is ranked #1 with an average rating of 8.7, while Elastic is ranked #7 with an average rating of 8.1. Datadog holds a 8.9% mindshare in APM, compared to Elastic’s 5.6% mindshare. Additionally, 97% of Datadog users are willing to recommend the solution, compared to 88% of Elastic users who would recommend it. Comparison Buyer's GuideExecutive SummaryUpdated on Jan 5, 2025Datadog and Elastic Observability compete in the monitoring and observability category. Datadog seems to have the upper hand with its ease of use and strong integration capabilities, whereas Elastic Observability stands out for its customization and cost-effectiveness.Features: Datadog's remarkable features include sharable dashboards, robust integration with services like AWS and Docker, and extensive visualization tools for comprehensive monitoring. Elastic Observability excels in analytics and search functionality, offering a highly customizable platform that integrates well with various data sources and monitoring systems.Room for Improvement: Datadog users often encounter challenges with the complexity of customizing dashboards and managing high costs, especially for logs and APM features. They also seek more advanced integrations and improved documentation. Elastic Observability faces criticism for its steep learning curve and lacks more automated features, predictive analytics, and proactive alerting capabilities, which users hope will improve to enhance scalability.Ease of Deployment and Customer Service: Datadog offers flexible deployment across multiple cloud environments, making it adaptable but potentially complex. Its customer service is generally helpful and responsive, although inconsistency and delays are noted. Elastic Observability is commonly deployed on-premises, providing strong data control but increasing setup complexity. Its support is seen as high-quality but could improve in timeliness.Pricing and ROI: Datadog's pricing, perceived as higher due to usage-based billing, can lead to unexpected costs. It provides a reasonable ROI with comprehensive monitoring capabilities, though cost management remains a concern. Elastic Observability is viewed as more cost-effective, particularly for larger deployments, thanks to its open-source model that offers flexibility and savings. However, close management of its licensing is crucial to avoid potential high costs.To learn more, read our detailed Datadog vs. Elastic Observability Report (Updated: February 2025).Review summaries and opinionsROICustomer ServiceScalability IssuesStability IssuesRoom For ImprovementSetup CostSUValuable FeaturesCategories and RankingRanking in Application Performance Monitoring (APM) and Observability1stRanking in IT Infrastructure Monitoring2ndRanking in Log Management3rdRanking in Container Monitoring2ndRanking in Cloud Monitoring Software1stRanking in other categoriesNetwork Monitoring Software (3rd), AIOps (1st), Cloud Security PostureAn introduction to APM - Elastic
Types of Application Performance Monitoring (APM) software:Agent-based APM: This type of APM software requires the installation of an agent on each server or application instance to collect data on performance metrics.Agentless APM: Agentless Application Performance Monitoring tool operates without requiring the installation of an agent on each server or application instance. Instead, it uses network traffic analysis, log analysis, or other techniques to monitor performance.Synthetic Monitoring: Synthetic monitoring uses simulated user transactions to measure application performance. It involves creating scripted transactions that mimic user interactions to monitor performance. Real User Monitoring (RUM): RUM involves monitoring application performance metrics from the end user's perspective. It tracks real user interactions with the application to gain insights into how users are experiencing the application.Log Analytics: Log analytics involves analyzing application logs to identify performance issues. It involves the collection, aggregation, and analysis of log data to gain insights into application performance.Cloud-Based APM: Cloud-based Application Performance Monitoring software operates in the cloud and is delivered as a service. It can monitor applications that are hosted in the cloud or on-premises, providing real-time monitoring and alerting.Mobile APM: Mobile Application Performance Monitoring software is designed to monitor the performance of mobile applications. It provides insights into mobile app performance, including response time, crashes, and errors.End-to-End APM: End-to-end Application Performance Monitoring software monitors the entire application infrastructure, including servers, networks, and databases. It provides a holistic view of application performance and helps businesses identify potential bottlenecks.Container APM: Container Application Performance Monitoring software is designed to monitor containerized applications. It provides insights into performance metrics specific to containerized environments, such as resource utilization and container health.Database APM: Database APM software focuses on monitoring the performance of databases. It provides insights into database performance metrics, such as query response times and database uptime.Choosing the right Application Performance Monitoring tool can help businesses stay ahead of potential performance issues and ensure that their applications are performing at their best.By understanding the different types of Application Performance Monitoring software and their unique features, businesses can make an informed decision and select a tool that meets their specific needs.Whether you're looking for agent-based APM, cloud-based APM, or mobile APM, there's an APM tool available to help you monitor, optimize, and enhance your application performance.Maximizing Your Application Performance: The Best 10 Application Performance Monitoring Tools List Selecting the right Application Performance Monitoring (APM) tool is critical to ensuring optimal application performance. With so many options available, it can be challenging to determine which tool is the best fit for your business needs.In this section, we've compiled a list of the top 10 Application Performance Monitoring tools on the market today, each with unique features to help businesses monitor, optimize, and enhance their application performance.Whether you're looking for agent-based APM, cloud-based APM, or mobile APM, there's an APM tool on this list to help you meet your performance goals.Here's a list of 10 application performance monitoring software: Obkio: Obkio is a cloud-based Application Performance Monitoring software that provides real-time network performance monitoring, alerting, and. Download Elastic APM Node.js Agent for free. Elastic APM Node.js Agent. This is the official Node.js application performance monitoring (APM) agent for the Elastic Home co.elastic.apm elastic-apm-agent 1.28.4. Elastic APM Agent 1.28.4. Elastic APM Agent License: Apache 2.0: Tags: apm agent elastic: Date: : Files:APM with the Elastic Stack
Scripts are enabled for packages, raygun-apm will inspect your project's dependencies and warn you if a version of a dependency is known to be incompatible.Please let us know if there's another database adapter or library you'd like supported.Cloud Providersraygun-apm can be used with a number of cloud providers.Dockerraygun-apm can be used with Docker-based deployments. Please see the APM Agent Docker setup guide for information on installing the agent.If the agent is running in a separate container to the Node application, you will need to set the RAYGUN_AGENT_HOST to the hostname of the agent's container.When using docker-compose, hostnames are automatically created for each container, using the name of the service.For example, if our APM Agent service was named raygun, as in the above example, our node application would need to have the environment variable RAYGUN_AGENT_HOST=raygun.Herokuraygun-apm provides support for Heroku via a custom buildpack that will install and run the APM agent alongside your application.For more information, see the Heroku Buildpack guide on Raygun's documentation site.AWS Elastic Beanstalkraygun-apm provides support for AWS Elastic Beanstalk, using the .ebextensions system to install and run the APM Agent. Please see the setup guide on the Raygun documentation site for more detail.Azure App Servicesraygun-apm provides support for Azure App Services, using Azure Extensions to install and run the APM agent. Please see the APM Agent setup guide for Azure on the Raygun documentation site for instructions on installing the agent.Performanceraygun-apm introduces a performance overhead to your application, due to the use of V8's CPU profiler and the Node async_hooks module to capture APM information. As such, using raygun-apm in production can cause noticeable slowdown to application code.This is similar to how a web application behaves when capturing a CPU profile in Chrome. Our current benchmarks suggest this overhead is currently around 30% at worst, although we'reOverview Elastic APM. O que o Elastic APM? - Medium
And Logtailitself is one of the most secure tools available. Using industry-standard bestpractices and cooperating only with data centers compliant with DIN ISO/IEC27001certifications, your data is safe during both transit and storage.With Better Uptime, you can also set up uptime monitoring for your applications,APIs, Cron jobs, and more, with on-call scheduling, so that the right persongets notified promptly if something happens. Several integrations are availableand you can also create a branded status page to communicate incidents, plannedmaintenances and other developments with your users.Both products provide a free plan with generous limits where you can get toexperience them and evaluate if they meet your needs and the paid plans for eachstart at $24/month.2. Elastic Stack (ELK Stack)The Elastic Stack (formerly known as the ELK Stack) is an open-source logmanagement solution that comprises four distinct tools:Elasticsearch: a distributed JSON-based search and analytics engine.Logstash: for log ingestion and pipeline processing.Kibana: data visualization for Elastic search.Beats: a set of lightweight single-purpose data shippers.Since Elastic Stack's core components are open source, you can download and runit without cost. When you install the stack, you'll immediately get access toall the tools you need to collect data from multiple sources, process it, andstore it in one centralized location that can scale as data grows. You'll alsobe able to view and analyze the data through a web-based user interface.A crucial advantage of the Elastic Stack over Splunk (due to its open sourcenature) is access to a massive community of developers and library of pluginsfor extending the capabilities of the stack. On the other hand, the ElasticStack can be quite complex to setup and configure before it can function as aproduction-grade log management tool, and your data needs to be well structuredbefore you can get the most out of it, while Splunk is more usable withunstructured data.3. New RelicNew Relic is another observability tool primarily used to monitor applicationand infrastructure performance. It started as an APM but has evolved into a fullobservability suite with tools for log management, network monitoring,Kubernetes monitoring, and many more for monitoring mobile, web, and cloudapplications in real-time. These features overlap with Splunk's infrastructuremonitoring solutionsGitHub - elastic/apm: Elastic Application Performance
HomeScout APM vs. SentryScout APM vs Sentry comparisonScout and Sentry are both solutions in the Application Performance Monitoring (APM) and Observability category. Scout is ranked #60, while Sentry is ranked #12 with an average rating of 8.6. Scout holds a 0.3% mindshare in APM, compared to Sentry’s 6.7% mindshare. Additionally, 100% of Scout users are willing to recommend the solution, compared to 100% of Sentry users who would recommend it. Comparison Buyer's GuideWe performed a comparison between Scout APM and Sentry based on real PeerSpot user reviews.Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability.Review summaries and opinionsCategories and RankingRanking in Application Performance Monitoring (APM) and Observability60thRanking in other categoriesNo ranking in other categoriesRanking in Application Performance Monitoring (APM) and Observability12thRanking in other categoriesDebugging (1st)Mindshare comparisonAs of March 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Scout APM is 0.3%, up from 0.3% compared to the previous year. The mindshare of Sentry is 6.7%, up from 4.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.Application Performance Monitoring (APM) and ObservabilityFeatured ReviewsQuotes from MembersProsConsPricing and Cost AdviceUse our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.842,296 professionals have used our research since 2012.Top IndustriesCompany SizeQuestions from the CommunityComparisonsProduct ReportsOverviewSample Customers Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: March 2025.842,296 professionals have used our research since 2012.We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.. Download Elastic APM Node.js Agent for free. Elastic APM Node.js Agent. This is the official Node.js application performance monitoring (APM) agent for the ElasticComments
Management (CSPM) (7th)Ranking in Application Performance Monitoring (APM) and Observability7thRanking in IT Infrastructure Monitoring8thRanking in Log Management15thRanking in Container Monitoring4thRanking in Cloud Monitoring Software7thRanking in other categoriesNo ranking in other categoriesMindshare comparisonAs of March 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 8.9%, down from 11.5% compared to the previous year. The mindshare of Elastic Observability is 5.6%, down from 5.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.Application Performance Monitoring (APM) and ObservabilityFeatured ReviewsUse our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.841,605 professionals have used our research since 2012.Top IndustriesCompany SizeQuestions from the CommunityComparisonsProduct ReportsOverviewSample Customers Find out what your peers are saying about Datadog vs. Elastic Observability and other solutions. Updated: February 2025.841,605 professionals have used our research since 2012.See our Datadog vs. Elastic Observability report. We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
2025-04-17HomeDatadog vs. Elastic ObservabilityDatadog and Elastic are both solutions in the Application Performance Monitoring (APM) and Observability category. Datadog is ranked #1 with an average rating of 8.7, while Elastic is ranked #7 with an average rating of 8.1. Datadog holds a 8.9% mindshare in APM, compared to Elastic’s 5.6% mindshare. Additionally, 97% of Datadog users are willing to recommend the solution, compared to 88% of Elastic users who would recommend it. Comparison Buyer's GuideExecutive SummaryUpdated on Jan 5, 2025Datadog and Elastic Observability compete in the monitoring and observability category. Datadog seems to have the upper hand with its ease of use and strong integration capabilities, whereas Elastic Observability stands out for its customization and cost-effectiveness.Features: Datadog's remarkable features include sharable dashboards, robust integration with services like AWS and Docker, and extensive visualization tools for comprehensive monitoring. Elastic Observability excels in analytics and search functionality, offering a highly customizable platform that integrates well with various data sources and monitoring systems.Room for Improvement: Datadog users often encounter challenges with the complexity of customizing dashboards and managing high costs, especially for logs and APM features. They also seek more advanced integrations and improved documentation. Elastic Observability faces criticism for its steep learning curve and lacks more automated features, predictive analytics, and proactive alerting capabilities, which users hope will improve to enhance scalability.Ease of Deployment and Customer Service: Datadog offers flexible deployment across multiple cloud environments, making it adaptable but potentially complex. Its customer service is generally helpful and responsive, although inconsistency and delays are noted. Elastic Observability is commonly deployed on-premises, providing strong data control but increasing setup complexity. Its support is seen as high-quality but could improve in timeliness.Pricing and ROI: Datadog's pricing, perceived as higher due to usage-based billing, can lead to unexpected costs. It provides a reasonable ROI with comprehensive monitoring capabilities, though cost management remains a concern. Elastic Observability is viewed as more cost-effective, particularly for larger deployments, thanks to its open-source model that offers flexibility and savings. However, close management of its licensing is crucial to avoid potential high costs.To learn more, read our detailed Datadog vs. Elastic Observability Report (Updated: February 2025).Review summaries and opinionsROICustomer ServiceScalability IssuesStability IssuesRoom For ImprovementSetup CostSUValuable FeaturesCategories and RankingRanking in Application Performance Monitoring (APM) and Observability1stRanking in IT Infrastructure Monitoring2ndRanking in Log Management3rdRanking in Container Monitoring2ndRanking in Cloud Monitoring Software1stRanking in other categoriesNetwork Monitoring Software (3rd), AIOps (1st), Cloud Security Posture
2025-03-29Scripts are enabled for packages, raygun-apm will inspect your project's dependencies and warn you if a version of a dependency is known to be incompatible.Please let us know if there's another database adapter or library you'd like supported.Cloud Providersraygun-apm can be used with a number of cloud providers.Dockerraygun-apm can be used with Docker-based deployments. Please see the APM Agent Docker setup guide for information on installing the agent.If the agent is running in a separate container to the Node application, you will need to set the RAYGUN_AGENT_HOST to the hostname of the agent's container.When using docker-compose, hostnames are automatically created for each container, using the name of the service.For example, if our APM Agent service was named raygun, as in the above example, our node application would need to have the environment variable RAYGUN_AGENT_HOST=raygun.Herokuraygun-apm provides support for Heroku via a custom buildpack that will install and run the APM agent alongside your application.For more information, see the Heroku Buildpack guide on Raygun's documentation site.AWS Elastic Beanstalkraygun-apm provides support for AWS Elastic Beanstalk, using the .ebextensions system to install and run the APM Agent. Please see the setup guide on the Raygun documentation site for more detail.Azure App Servicesraygun-apm provides support for Azure App Services, using Azure Extensions to install and run the APM agent. Please see the APM Agent setup guide for Azure on the Raygun documentation site for instructions on installing the agent.Performanceraygun-apm introduces a performance overhead to your application, due to the use of V8's CPU profiler and the Node async_hooks module to capture APM information. As such, using raygun-apm in production can cause noticeable slowdown to application code.This is similar to how a web application behaves when capturing a CPU profile in Chrome. Our current benchmarks suggest this overhead is currently around 30% at worst, although we're
2025-04-25And Logtailitself is one of the most secure tools available. Using industry-standard bestpractices and cooperating only with data centers compliant with DIN ISO/IEC27001certifications, your data is safe during both transit and storage.With Better Uptime, you can also set up uptime monitoring for your applications,APIs, Cron jobs, and more, with on-call scheduling, so that the right persongets notified promptly if something happens. Several integrations are availableand you can also create a branded status page to communicate incidents, plannedmaintenances and other developments with your users.Both products provide a free plan with generous limits where you can get toexperience them and evaluate if they meet your needs and the paid plans for eachstart at $24/month.2. Elastic Stack (ELK Stack)The Elastic Stack (formerly known as the ELK Stack) is an open-source logmanagement solution that comprises four distinct tools:Elasticsearch: a distributed JSON-based search and analytics engine.Logstash: for log ingestion and pipeline processing.Kibana: data visualization for Elastic search.Beats: a set of lightweight single-purpose data shippers.Since Elastic Stack's core components are open source, you can download and runit without cost. When you install the stack, you'll immediately get access toall the tools you need to collect data from multiple sources, process it, andstore it in one centralized location that can scale as data grows. You'll alsobe able to view and analyze the data through a web-based user interface.A crucial advantage of the Elastic Stack over Splunk (due to its open sourcenature) is access to a massive community of developers and library of pluginsfor extending the capabilities of the stack. On the other hand, the ElasticStack can be quite complex to setup and configure before it can function as aproduction-grade log management tool, and your data needs to be well structuredbefore you can get the most out of it, while Splunk is more usable withunstructured data.3. New RelicNew Relic is another observability tool primarily used to monitor applicationand infrastructure performance. It started as an APM but has evolved into a fullobservability suite with tools for log management, network monitoring,Kubernetes monitoring, and many more for monitoring mobile, web, and cloudapplications in real-time. These features overlap with Splunk's infrastructuremonitoring solutions
2025-03-29Network performance and identify issues in real-time.LogicMonitor supports a range of network devices and applications, including routers, switches, servers, and more. It provides customizable alerts and notifications to keep users informed of network performance issues, and also offers historical data analysis to track network usage patterns over time.LogicMonitor Interface: 6. Auvik Auvik is an IT management software solution that provides network management and monitoring capabilities, which include features like network discovery, device monitoring, and configuration management. It offers real-time traffic analysis, bandwidth usage reports, device tracking, and more.It provides customizable alerts and notifications to keep users informed of network performance issues, and also offers historical data analysis to track network usage patterns over time.Auvik Interface:7. Icinga Icinga, as a flexible and open-source monitoring solution, provides a foundation for monitoring a wide range of IT infrastructure components, including network devices. While Icinga itself doesn't inherently focus on network bandwidth monitoring, it can be extended with plugins and integrations to include this functionality.To incorporate network bandwidth monitoring into Icinga, administrators often utilize plugins or add-ons specifically designed for this purpose. There are third-party plugins available that work in conjunction with Icinga to collect and analyze network bandwidth data from routers, switches, and other network devices.Icinga Interface: 8. Progress WhatsUp Gold Progress WhatsUp Gold is a comprehensive IT management software solution that offers network bandwidth monitoring as one of its key features. WhatsUp Gold is a comprehensive network monitoring solution designed to provide visibility into various aspects of network performance, and bandwidth monitoring is a critical component of this functionality.Progress WhatsUpGoldUser Interface: 2 Application Performance Monitoring (APM) Tools offering Bandwidth Monitoring in 2025 Application performance monitoring (APM) is a critical aspect of managing and maintaining software applications. With so many options available, it can be challenging to choose the right tool for your needs, especially when it comes to bandwidth monitoring. In this section, we'll take a look at six of the best APM tools for bandwidth monitoring in 2023: Datadog, AppDynamics, Dynatrace, Splunk, New Relic, and Elastic Observability.These APM tools offer a range of features and capabilities, including real-time traffic analysis, bandwidth usage reports, application performance monitoring, device tracking, alerting and notification, and more. They can help you optimize application performance, troubleshoot issues in real-time, and ensure efficient use of network resources.1. Datadog Datadog is a cloud-based APM tool that offers comprehensive application performance monitoring capabilities, including network bandwidth monitoring. Datadog provides a Network Performance Monitoring (NPM) solution that allows organizations to gain insights into their network infrastructure's performance, including monitoring network bandwidth usage.Datadog can be configured to monitor a range of applications and systems, including web servers, databases, and cloud infrastructure. It provides customizable alerts and notifications to keep users informed of network performance issues, and also offers historical data analysis to track network usage patterns over time.Datadog Interface:2. Dynatrace Dynatrace is a APM tool that offers real-time traffic analysis, bandwidth usage reports, application performance monitoring, device tracking, and more. Dynatrace monitors your network traffic on both the host and process
2025-03-26