Kamon - Tool for monitoring applications running on the JVM

  •        487

Kamon is a reactive-friendly toolkit for monitoring applications that run on top of the JVM. It provides API to manually create metric recording instruments for any application running on the JVM. It provides bytecode instrumentation modules for Scala, Akka, Spray and Play. It supports several reporting backends like StatsD, Datadog and New Relic. It also allows to create custom reports.

http://kamon.io/
https://github.com/kamon-io/Kamon

Tags
Implementation
License
Platform

   




Related Projects

Micrometer - An application metrics facade for the most popular monitoring tools

  •    Java

An application metrics facade for the most popular monitoring tools. Instrument your code with dimensional metrics with a vendor neutral interface and decide on the monitoring backend at the last minute. Micrometer is the instrumentation library underpinning Spring Boot 2.0's metrics collection.

jHiccup - JVM Instrumentation Tool

  •    Java

jHiccup is a non-intrusive instrumentation tool that logs and records platform "hiccups" - including the JVM stalls that often happen when Java applications are executed and/or any OS or hardware platform noise that may cause the running application to not be continuously runnable.

Java Monitoring Client Library - A java idiomatic monitoring client for collecting metrics

  •    Java

This library provides an API that is powerful and java idiomatic for configuring and publishing application metrics. A reference implementation using Stackdriver Monitoring API v3 is included, but other monitoring backend implementations can also be used. Most of other monitoring libraries available are low-level and are tied directly to the backend. This library provides type safety, retry logic and an backend-agnostic approach to Java metrics instrumentation.

osquery - SQL powered operating system instrumentation, monitoring, and analytics.

  •    C++

osquery is an operating system instrumentation framework for OS X/macOS, Windows, and Linux. The tools make low-level operating system analytics and monitoring both performant and intuitive.There are many additional continuous build jobs that perform dynamic and static analysis, test the package build process, rebuild dependencies from source, assure deterministic build on macOS and Linux, fuzz test the virtual tables, and build on several other platforms not included above. Code safety, testing rigor, data integrity, and a friendly development community are our primary goals.


AppMetrics - App Metrics is an open-source and cross-platform

  •    CSharp

App Metrics is an open-source and cross-platform .NET library used to record metrics within an application. App Metrics can run on .NET Core or on the full .NET framework also supporting .NET 4.5.2. App Metrics abstracts away the underlaying repository of your Metrics for example InfluxDB, Graphite, Elasticsearch etc, by sampling and aggregating in memory and providing extensibility points to flush metrics to a repository at a specified interval.App Metrics provides various metric types to measure things such as the rate of requests, counting the number of user logins over time, measure the time taken to execute a database query, measure the amount of free memory and so on. Metrics types supported are Gauges, Counters, Meters, Histograms and Timers and Application Performance Indexes Apdex.

goappmonitor - Golang application performance data monitoring.

  •    Go

Golang application performance data monitoring.GoAppMonitor is a library which provides a monitor on your golang applications. It contains system level based monitoring and business level monitoring(custom monitoring).Just add the repository into your apps and register what you want to monitoring.

client_java - Prometheus instrumentation library for JVM applications

  •    Java

The Prometheus Java Suite: Client Metrics, Exposition, and Examples

Stagemonitor - Application performance monitoring for java server applications

  •    Java

Stagemonitor is a Java monitoring agent that tightly integrates with time series databases like Elasticsearch, Graphite and InfluxDB to analyze graphed metrics and Kibana to analyze requests and call stacks. It includes preconfigured Grafana and Kibana dashboards that can be customized. It supports Real Time Metrics, Call tree of the current request including SQL statements to identify the bottlenecks of a request, Execution time and count of database interactions, Analyze the HTTP headers and lot more.

Apache Skywalking - A distributed tracing system, and APM ( Application Performance Monitoring )

  •    Java

SkyWalking is an APM(application performance monitor) system, especially designed for microservices, cloud native and container-based (Docker, Kubernetes, Mesos) architectures. It provides distributed tracing, service mesh telemetry analysis, metric aggregation and visualization all-in-one solution.

Zipkin - Distributed tracing system

  •    Java

Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed.

jvm-mon - Console-based JVM monitoring

  •    Kotlin

Console based JVM monitoring - when you just want to SSH into a server and see what's going on. jvm-top lets you monitor your JVM server applications from the terminal.

Hawkular metrics - Time Series Metrics Engine based on Cassandra

  •    Java

Hawkular Metrics is a metrics collection, aggregation, visualization framework. Hawkular is a set of Open Source projects designed to be a generic solution for common monitoring problems. The Hawkular projects provide REST services that can be used for all kinds of monitoring needs. The aim is to provide a generic solution that can be used for common monitoring problems.

eZ Server Monitor - Script for Monitoring Linux servers

  •    PHP

eZ Server Monitor (eSM) is a script for monitoring Linux servers. It is available in Bash version and Web application. In its Web version, eSM is a PHP script which provides a web page containing information such as the operating system, the number of users connected to the server, the system load, CPU, memory RAM, available disk space, bandwidth usage, and especially the port monitoring services such as FTP, SMTP, Web, etc.

jmxtrans - JMX metrics exporter

  •    Java

This is effectively the missing connector between speaking to a JVM via JMX on one end and whatever logging / monitoring / graphing package that you can dream up on the other end.

automon - Automon combines the power of AOP (AspectJ) with monitoring or logging tools you already use to declaratively monitor your Java code, the JDK, and 3rd party libraries

  •    Java

Automon combines the power of AOP (AspectJ) with any monitoring or logging tools you already use to declaratively monitor your Java code, the JDK, and dependent libraries.

Gretel

  •    Java

Gretel is a tool for test coverage monitoring of java bytecode. It also has the unique feature of being able to remove coverage instrumentation for code which has already been covered, enhancing performance.

bcc - BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more

  •    Python

BCC is a toolkit for creating efficient kernel tracing and manipulation programs, and includes several useful tools and examples. It makes use of extended BPF (Berkeley Packet Filters), formally known as eBPF, a new feature that was first added to Linux 3.15. Much of what BCC uses requires Linux 4.1 and above. One of the more interesting features in this cycle is the ability to attach eBPF programs (user-defined, sandboxed bytecode executed by the kernel) to kprobes. This allows user-defined instrumentation on a live kernel image that can never crash, hang or interfere with the kernel negatively.