Best Ruby Application Monitoring Tools in 2022
Application Performance Monitoring allows developers to monitor and analyze the performance of any Ruby or Ruby-based framework project. It collects key data about the performance issues and trends, bottlenecks, and also unexpected behavior of the application and provides actionable insights in a human-readable manner.
Many APM solutions are available as a part of bigger SaaS observability suites, but there are also a lot of standalone, language-specific tools ranging from lightweight code profilers and powerful open-source solutions. Let's take a look at some of the Best Ruby Application Performance Monitoring Tools in 2022.
1. Logtail
Logtail is a structured log
management platform based on ClickHouse. It allows you
to start collecting, analyzing, and visualizing logs in real-time. Logtail
easily collects data directly from
any Ruby on Rails, Sinatra, and plain Ruby project. Logtail's advanced built-in
collaboration features, resource-efficient ClickHouse, and visually pleasing,
dark-mode UI help you to spend less time debugging and focus on shipping
higher-quality software faster.
Logtail is a part of the Better Stack ecosystem, and together with Better Uptime, they create a complete observability solution with incident management built-in. With one-click Better Uptime integration, you can easily alert on-call team members of any irregularities in your application's behavior. Be it a specific log message error or a predefined usage trend.
2. Raygun
Raygun offers real-time data about the
performance of any application. It detects, diagnoses, and helps to resolve
issues.
Raygun monitors errors and reports on crashes. It also provides Real User Monitoring, which collects data about real user experience and behavior and provides code-level insights into the performance of the application on the backend.
3. AppOptics
Solarwinds offers multiple
operation-specific APM tools, such as SAM or AppOptics. AppOptics offers
on-prem, hybrid, and cloud-based, distributed applications monitoring. It
combines dashboards to visualize metrics from application and infrastructure in
one place and eventually offers consolidated monitoring for all server, host,
containers, and serverless environments.
SolarWinds' AppOptics also offers Application Performance Monitoring for Java, .Net, Python, PHP, Scala, Node.js, and Go applications.
4. New Relic
New Relic offers a complete
monitoring solution covering APM, K8s monitoring, ML Model Monitoring, Log
Management, Synthetics, etc. Their Application Performance Monitoring helps to
navigate and visualize the entire application stack, and it offers most of the
features necessary for reliable and continuous APM.
5. Dynatrace
Dynatrace offers Ruby monitoring on the
process level. Dynatrace's all-in-one monitoring solution also offers an APM
tool for automated observability for cloud-native services. It offers automatic
discovery and mapping, end-to-end observability, multiplatform app monitoring,
and root-cause and impacts analysis.
It's a feature-packed, enterprise-ready monitoring solution, which often makes it quite pricey and painful to start with.
6. Retrace
Stackify's Retrace offers basic and
advanced Application Performance Monitoring features, capable of collecting and
monitoring logs or tracking deployments. Retrace uses lightweight profiling to
automatically track essential methods in code and fetches detailed performance
data. Retrace can track key performance issues such as slow dependencies,
queries, requests, and re-occurring errors.
7. Sensu Go
Sensu Go is an open-source application
monitoring solution written in Go. It offers support for servers, services, and
application health monitoring. It's an observability pipeline allowing for the
centralization and management monitoring tools for better observability. Sensu
Go offers a monitoring-as-a-Code solution allowing for code configuration file
sharing, modification, revision, and versioning. Sensu Go also automatically
handles monitoring of multi-cloud environments.
8. Sentry
Sentry's performance monitoring offers
support for various application languages and frameworks and is available both
as a SaaS and Self-hosted platform.
Sentry offers end-to-end distributed trace monitoring to trace performance issues to their origin.
9. Datadog
Datadog is one of the most popular and
successful monitoring solutions available. Datadog's APM tool monitors apps
across browsers, platforms, databases, or lines of code. It works well with
frontend and backend monitoring data and reports on performance-related issues,
dependencies, health, and business metrics.
Datadog works best as a part of the full Datadog stack, is enterprise-ready, and belongs among the most expensive solutions available.
10. Elastic APM
Elastic APM automatically sets up
error logging and performance tracking by their elastic gem.
Elastic APM is built upon the ELK stack. It's composed of open source libraries for collecting performance data, a server, receiving performance data, Elasticsearch, and Kibana for visualization.
11. ScoutAPM
ScoutAPM monitors the performance of the Ruby
on Rails application using the scout Ruby gem. It automatically monitors the
performance of controller actions, records transaction traces, and instruments
many Ruby libraries, including ActiveRecord, Net::HTTP, or Redis.
ScoutAPM also supports Ruby frameworks such as Sinatra, Delayed Job, Resque, and Sneakers.
12. Prometheus
Prometheus is an open-source
monitoring and alerting set of tools built by SoundCloud's engineers in 2012. It
was the second CNCF project after Kubernetes, and it has managed to obtain a
large and vibrant community of contributors and users ever since.
13. Atatus
Atatus offers instant insight into Ruby
applications and frameworks. It enables end-to-end visibility, API failure
monitoring, tracking application errors and exceptions, tracing transactions,
monitoring external requests, database performance, and much more.
Atatus also offers auto instrumentation for the most popular frameworks, enables smart notifications, compare the impact of different code versions, and is fully scalable.
14. SigNoz
SigNoz offers OpenTelemetry as the primary
approach to instrumentation. It supports Python and some Python Frameworks, such
as Django. It runs on either Kafka+Druid or OLAP database ClickHouse for the
backend. The Query service is built-in GO, and the frontend is
Typescript-powered.
SigNoz offers a broad and vibrant community of contributors and well-written, holistic documentation.
Conclusion
Nowadays, APM is essential for delivering a reliable and successful microservices-based application in a sustainable fashion. Open source solutions allow developers to create custom, project-specific add-ons, and plugins and manage infrastructure costs but at the same time create another thing to maintain compared to SaaS solutions.
dashboards with Grafana.
dashboards with Grafana.
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