AppDynamics vs Graylog

Overview

AppDynamics

Stacks306

Followers629

Votes68

Graylog

Stacks595

Followers711

Votes70

GitHub Stars7.9K

Forks1.1K

AppDynamics vs Graylog: What are the differences?

Deployment: AppDynamics is primarily used for performance monitoring and diagnostics of applications, providing visibility into the entire application stack from user interface to backend services. Graylog, on the other hand, is a log management platform that focuses on collecting, indexing, and analyzing log data from various sources for troubleshooting and troubleshooting purposes.
Monitoring Focus: AppDynamics specializes in application performance monitoring, tracking metrics such as response time, throughput, and error rates to ensure optimal performance. In contrast, Graylog's main focus is on log management, allowing for centralized logging, alerting, and searching capabilities for efficient troubleshooting and analysis of log data.
Data Collection: AppDynamics uses agents installed on servers and applications to collect performance data in real-time, providing insights into end-user experience and application performance. Graylog, on the other hand, relies on log shippers, such as syslog or Beats, to ingest log data from various sources into a centralized repository for analysis.
User Interface: AppDynamics offers a user-friendly interface with dashboards and visualizations tailored for application monitoring, making it easy for users to identify performance issues and trends. In contrast, Graylog provides a customizable web interface for log management, allowing users to create custom dashboards and searches based on their specific log data needs.
Alerting Capabilities: AppDynamics offers sophisticated alerting features that notify users of performance degradation or anomalies in real-time, enabling proactive response to potential issues. Graylog also provides alerting functionality based on log data thresholds or patterns, allowing users to set up alerts for specific events or conditions within their log data.
Integration Options: AppDynamics offers integrations with popular tools and platforms, such as JIRA and ServiceNow, for seamless workflow automation and collaboration during issue resolution. Graylog also supports various integrations with third-party tools and services, enabling users to extend its capabilities for log data analysis and management.

In Summary, AppDynamics focuses on application performance monitoring, while Graylog specializes in log management and analysis, offering distinct features tailored to their respective monitoring and troubleshooting needs.

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Advice on AppDynamics, Graylog

Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceon

Datadog

Dynatrace

AppDynamics

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

1.59M views1.59M

Comments

Radha

Jun 20, 2020

Needs adviceon

Site24x7

AppDynamics

Dynatrace

Hi Folks,

I am trying to evaluate Site24x7 against AppDynamics, Dynatrace, and New Relic. Has anyone used Site24X7? If so, what are your opinions on the tool? I know that the license costs are very low compared to other tools in the market. Other than that, are there any major issues anyone has encountered using the tool itself?

582k views582k

Comments

Detailed Comparison

AppDynamics	Graylog
AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.	Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.
End User Monitoring;Real-Time Business Transaction Monitoring;Visualize & Manage your Entire Application;Detect Business Impact and Performance Spikes;Isolate Bottlenecks in your Application;Identify Root Cause with Complete Code diagnostics;Kickass for Business: Reports;Kickass for Ops: Dashboards;Kickass for Dev: Agile Comparison	-
Statistics
GitHub Stars -	GitHub Stars 7.9K
GitHub Forks -	GitHub Forks 1.1K
Stacks 306	Stacks 595
Followers 629	Followers 711
Votes 68	Votes 70
Pros & Cons
Pros 21 Deep code visibility 13 Powerful 8 Real-Time Visibility 7 Great visualization 6 Comprehensive Coverage of Programming Languages Cons 5 Expensive 2 Poor to non-existent integration with aws services	Pros 19 Open source 13 Powerfull 8 Well documented 6 Alerts 5 User authentification Cons 1 Does not handle frozen indices at all
Integrations
Rackspace Cloud Servers Microsoft Azure Amazon EC2 RightScale CloudBees HP Cloud Compute Boundary PagerDuty	GitHub

What are some alternatives to AppDynamics, Graylog?

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Related Comparisons

AppDynamics vs Graylog: What are the differences?

Deployment: AppDynamics is primarily used for performance monitoring and diagnostics of applications, providing visibility into the entire application stack from user interface to backend services. Graylog, on the other hand, is a log management platform that focuses on collecting, indexing, and analyzing log data from various sources for troubleshooting and troubleshooting purposes.
Monitoring Focus: AppDynamics specializes in application performance monitoring, tracking metrics such as response time, throughput, and error rates to ensure optimal performance. In contrast, Graylog's main focus is on log management, allowing for centralized logging, alerting, and searching capabilities for efficient troubleshooting and analysis of log data.
Data Collection: AppDynamics uses agents installed on servers and applications to collect performance data in real-time, providing insights into end-user experience and application performance. Graylog, on the other hand, relies on log shippers, such as syslog or Beats, to ingest log data from various sources into a centralized repository for analysis.
User Interface: AppDynamics offers a user-friendly interface with dashboards and visualizations tailored for application monitoring, making it easy for users to identify performance issues and trends. In contrast, Graylog provides a customizable web interface for log management, allowing users to create custom dashboards and searches based on their specific log data needs.
Alerting Capabilities: AppDynamics offers sophisticated alerting features that notify users of performance degradation or anomalies in real-time, enabling proactive response to potential issues. Graylog also provides alerting functionality based on log data thresholds or patterns, allowing users to set up alerts for specific events or conditions within their log data.
Integration Options: AppDynamics offers integrations with popular tools and platforms, such as JIRA and ServiceNow, for seamless workflow automation and collaboration during issue resolution. Graylog also supports various integrations with third-party tools and services, enabling users to extend its capabilities for log data analysis and management.

AppDynamics vs Graylog

Overview