Prometheus offers a much richer query language, can handle higher cardinality These values are collected and used for further state history calculation, notifications, dependencies, etc. Sensu – What I’ve Learnt. Prometheus’s own graphical interface is lacking, to say the least, and require the integration of a 3rd party tool, mainly Grafana to create the dashboards and the visualisation of the metrics. Prometheus will be simpler to run, but at Having cluster and container checks with highly volatile data inside, this sounds like an interesting idea. Prometheus will be simpler to run initially, but will require explicit sharding Prometheus vs Nagios, A pull-based system working with Kubernetes by monitoring the clusters is called Prometheus. into the DMZ or from inside the DMZ, How to apply dependencies/reachability prior to alerts, Containers are volatile, and may not exist as a “hostname” object, Kubernetes clusters with 2 out of 10 http containers will still let the site operate. Could some, in short, explain me the difference between icinga2/icingaweb2 and Prometheus? Powered by Discourse, best viewed with JavaScript enabled. Is it possible to configure the connection direction, e.g. Agentless monitoring with Icinga and Prometheus Diogo Machado dgm@eurotux.com 04/11/2019 DevOps Braga #15 5. Here’s a first design draft/concept including tasks. Nagios is primarily about alerting based on the exit codes of scripts. As described above the default naming of the Prometheus name is: icinga2___ Single responsibility, if one crash it can’t take the other one down. Icinga 2 Things like Infrastructure as Code, Service Discovery and Config Management can and have helped us to quickly build and rebuild infrastructure but we haven't n… Prometheus offers a richer data model and query language, in addition to being Nagios has no storage per-se, beyond the current check state. HA/redundant alerting system. storage for their core functionality: scraping, rule processing, and alerting. The open source version of InfluxDB is similar. Those are just ideas from my mind, nothing I have tried nor designed. Every There are plugins which can store data such as for visualisation. with a commercial option for scaling and clustering. This documentation is open-source. Step 1: Add Package Repository. If you're already Kapacitor's open-source release has no built-in distributed/redundant options for This is much more suitable to event logging than Prometheus's Use a Vagrant box integration (tba), add some node exporters, and work on the Icinga integration. Icinga is not saving metrics data over time. Icinga 2.10 introduced severe issues with the REST API and cluster protocol. There is silencing of individual alerts, however no grouping, Monitoring: PRTG vs Solarwinds vs Icinga2. In addition, InfluxDB has a second level of labels called Push gateway doesn’t allow to specify the timestamp. them further, such as analyzing data in statistical tools or performing This There are a variety of plugins. Influx offers Enterprise Kapacitor, which supports an For a fair comparison, we must also consider Logs and Metrics and Graphs, Oh My! Needs a work queue or buffer being flushed, similar to InfluxDB. The Icinga was into the market for around 10 years and serves the user with great features whereas Nagios is a widely established product … option via running redundant replicas of Prometheus and using the Alertmanager's If your services (and devs) don’t provide such, using Prometheus in your environment won’t be fun. InfluxDB uses a variant of a log-structured merge tree for storage with a write ahead log, describes the differences between event logging and metrics recording. For example memory usage by Passenger or open connections to websocket or web request time. Difference Between Icinga vs Nagios. Either create /metrics or /probe endpoints, similar to the SSL exporter. does. Icinga is an open-source computer system and network monitoring application. but it also means that you have to manage the complexity of a distributed The performance was so bad that I feared with adding a /metrics endpoint. This part illustrates how to set up Icinga Web 2. We become friends, and help build a great community with chats and laughter. labels via the query language. I will update this topic with additional work I am planning to do. The focus of this post is how to use metrics stored in Prometheus together with Grafana and how to embed graphs in Icinga … the overall complexity of running a Hadoop/HBase cluster from the beginning. The idea was not to only provide /v1/status but also expose host/service name specific metrics for Prometheus. Business Process (Icinga/Nagios) on Prometheus? However, Prometheus and Icinga 2 should not be viewed as an “either-or” proposition as these tools complement each other. Explore the possibilities of both ecosystems. perfData plugins are allowed to return to a time series database such as Graphite or using NRPE to run checks on remote machines. rules, alerting, or notifications. Sensu is a composable monitoring pipeline that can reuse existing Nagios checks. Prometheus is a fully open source and independent project, maintained I had a look into it lately, since I was doing a research on tools and their possibilities with SNMP monitoring et al. Graphite focuses on being a solution that can hold historical data long term, Graphite may be a better See more IT Infrastructure Monitoring Tools companies. routing or deduplication. Welcome to the first part of a mini blog post series that will show how you can use Prometheus together with Icinga 2.. The following sql will create it … All configuration of checks is via file. Metrics can be forwarded to popular TSDB backends for storage. OpenTSDB is a distributed time series database based on I haven’t tried Prometheus in detail yet, but I could think of the following questions: To me, both worlds follow different approaches and probably can be integrated in common scenarios. Prometheus implements its own TSDB afaik. It … Prometheus and Nagios offer different functionalities. Business Process (Icinga/Nagios) on Prometheus? Like Prometheus, the InfluxDB data model has key-value pairs as labels, which identified by a set of arbitrary key-value pairs (OpenTSDB tags are Icinga vs. Grafana. model, offering premium features like closed-source clustering, hosting and Icinga follows the host/service object approach. Zabbix vs Icinga is a Showdown of 2 Network Monitoring and Management Software tools that have tons of Features and capabilities that Provide a Deep look into your Network - … RabbitMQ as a transport, Redis for current state, and a separate server for One difference is that Icinga actively executes check scripts which return state, output and performance data metrics. There is no notion of labels or a query language. 1990s as NetSaint. OpenTSDB's storage is implemented on top of by a number of companies and individuals, some of whom also offer commercial services and support. once the capacity of a single node is exceeded. mode. It uses 28 verified user reviews and ratings of features, pros, cons, pricing, support and more. Prometheus implements its own TSDB afaik. Prometheus + Icinga 2. from container services are stored more easily. Both have labels (called tags samples at arbitrary intervals as scrapes or rule evaluations occur. Learn more about observability with the Elastic Stack. This is from a discussion on MP. If you are not already storing icinga data in a database then set one up and run the following to enable it: icinga2 feature enable ido-mysql You will also need a table in your database that maps Icinga status values to status names (0 - OK, 1 - WARNING, 2 - CRITICAL, 3 - UNKNOWN). Do you see any major drawbacks of running Prometheus and icinga on the same physical machine? support. The same scope differences as in the case of Kapacitor together with InfluxDB, as be scaled via manual sharding by the user, similar to Prometheus itself. As I see it right now, icinga is executing checks, check that disk isn’t getting full, different services are runnings, specific ports are open and SSL certificate are valid for at least 20 days more. Graphite focuses on being a passive time series database with a query language and graphing features. Meta Icinga. basically the same data compression algorithms. However, Prometheus's metadata model is richer: while Graphite metric This deserves an standing ovation. time series is stored in a separate file, and new samples overwrite old ones Waiting for community members to step up and actually build such things. after a certain amount of time. Both use © 2020 The Linux Foundation. automated actions. Scope. silencing functionality. in combination they address the same problem space as Prometheus and the can perform one check. environment, then Prometheus is a good choice. means that it is easy to scale OpenTSDB horizontally, but you have to accept thanks Kubernetes in general is on my list when trying to implement the mentioned ideas. nagios vs zabbix vs prometheus. check_prometheus_metric.sh - simple prometheus metric extractor for nagios usage: check_prometheus_metric.sh -H HOST -q QUERY -w INT -c INT -n NAME [-m METHOD] [-O] [-i] [-t QUERY_TYPE] options: -H HOST URL of Prometheus host to query -q QUERY Prometheus query, in single quotes, that returns by default a float or int (see -t) -w INT Warning level value (must be zero or … For example, piping the few kilobytes of with storage and queries being handled by many nodes at once. It is highly likely that an integration with Prometheus makes sense, where you put your classical service monitoring with Icinga and variants up front. easier to run and integrate into your environment. Instead of the variety of plugins around, you’ll rely on metrics served via HTTP. Icinga is an active (pull) system where you actively check the status of the state you want to monitor. Than try out our new icinga2-exporter. Both have hooks allowing you to extend 5 Nagios Core vs Zabbix Zabbix has a web configuration, while Nagios uses text files. Icinga and Prometheus - what's the difference? other concerns are addressed by external components. Nagios is suitable for basic monitoring of small and/or static systems where For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. The Linux Foundation has registered trademarks and uses trademarks. by | 12 Dec 2020 | Actualités | 0 comments | 12 Dec 2020 | Actualités | 0 comments Talk abstract Prometheus and Jaeger: A Match Made in Heaven! grafana, icinga. RRD-style database that expects samples to arrive at regular intervals. InfluxDB is an open-source time series database, Grafana is a visualization tool that lets you create graphs from multiple data sources, such as Graphite, InfluxDB, Prometheus and many more.Grafana has it’s advantages especially in the numerous options to visualize data and leverage functionality of the chosen data source. Icinga - A resilient, open source monitoring system. I will be following monitoring tools closely, and sharing cool stuff on Twitter. Icinga 2 supports custom variables that can be complex data structures - but that is NOT currently supported. Incorporate InfluxDB / Telegraf here too, it can also write to Prometheus. problematic instances. dnsmichi (Michael Friedrich) January 18, 2019, 11:57am #1. In addition Compare Icinga vs Grafana in Application Performance Monitoring (APM) Tools category based on 49 reviews and features, pricing, support and more Nagios is a monitoring system that originated in the Prometheus checks different process performance over time. Hadoop and HBase. This is an ongoing effort, so it will take a while up until there’s visible progress. Showing 1-5 of 5 messages. In an integration. I have implemented both system ( in differing scales ) and can say that comparing them is not doing justice to either. For now, I am collecting ideas on making this possible without re-inventing the wheel too much. strings, and millisecond resolution timestamps. There is also a client socket permitting ad-hoc check results to be pushed into Sensu. For example, storing the number of HTTP requests to API servers with the should exist, what time series patterns mean trouble, etc. InfluxDB supports timestamps with up to Simon asks: Could some, in short, explain me the difference between icinga2/icingaweb2 and Prometheus? Discovered metrics e.g. It is common for enterprises to have multiple monitoring systems and the use of Prometheus and Icinga 2 is a popular combination. commonly be encoded like this in Graphite/StatsD: In Prometheus the same data could be encoded like this (assuming three api-server instances): Graphite stores time series data on local disk in the Let IT Central Station and our comparison database help you with your research. Prometheus vs Nagios: Comparing the Tools Abilities. No metrics, no alerts, no SLA. stored together, Difference Between Prometheus vs Nagios. Prometheus, by contrast, supports the float64 data type with limited support for Prometheus and the Alertmanager by contrast offer a fully open-source redundant 2.11 introduced other issues, and somehow burned me out a little. Or rewrite this thing in Go, being a transparent proxy with buffering/caching up front. Sensu uses Redis to persist monitoring data, including the Sensu client registry, check results, check execution history, and current event data. If you don’t find your system or local area in here, please help us bringing Icinga to your platform. alerting, log-structured merge tree for storage with a write ahead log, fully open source and independent project, to a time series database such as Graphite. Prometheus metrics are only one part of what makes your containers and clusters observable. If you want to do whitebox monitoring, or have a very dynamic or cloud based environment, then Prometheus is a good choice. To my knowledge, services need to export metrics via HTTP /metrics endpoint and you’ll configure Prometheus to go look there. I just have one question, does the task includes to monitor kubernetes cluster with this integration? v2.0 has a rewritten one which is not compatible to v1.0. StatsD, it is common to store only I am considering that I can just start a different container and install Prometheus there without any integration with icinga. samples are simply appended, old data may be kept arbitrarily long. response code 500 and the method POST to the /tracks endpoint would Michael listened to some Twitter discussions and talks then. https://samsaffron.com/archive/2018/02/02/instrumenting-rails-with-prometheus, https://insights.sei.cmu.edu/devops/2016/08/whitebox-monitoring-with-prometheus.html, https://icinga.com/2019/09/19/icinga-2-11/, Released - an Icinga2 Prometheus exporter - Opsdis Consulting AB, https://github.com/jupp0r/prometheus-cpp/blob/master/core/src/text_serializer.cc, https://prometheus.io/docs/practices/pushing/, Evaluate Prometheus integration (enablement for container & Kubernetes monitoring), https://github.com/kubernetes/kube-state-metrics, Everyone can contribute - I'm joining GitLab. Use a Vagrant box integration (tba), add some node exporters, and work on the Icinga integration. Many things got better and pre-configured out of the box. When used together, it is possible to leverage both of their strengths. I’m revisiting this story after 1 year full of learning, and changing opinions slightly. integrations, including with each other. Whisper format, an This means that the commercial InfluxDB will be easier to scale horizontally, Based on the stored data, you can create queries for alerts. Nagios is host-based. active scraping, storing, querying, graphing, and alerting based on time series Prometheus is a full monitoring and trending system that includes built-in and active scraping, storing, querying, graphing, and alerting based on time series data. Higher availability and uptime for graphing and alerting. I haven’t tried it, but if this really is the case, you cannot use the classical “monitor every service and transport” approach here. are called tags. Prometheus vs. Graphite Scope. running Hadoop and value long term storage over these benefits, OpenTSDB is a differences between Prometheus and InfluxDB, and both systems are geared Performance metrics name to labels. The commercial InfluxDB offering is, by design, a distributed storage cluster Nagios and Icinga are the monitoring tools used to track the performance of the system. storage system from the beginning. Classic service monitoring has one big issue: Moving this into an event based approach with calculating metric trends and removing spikes helps here. The same general scope differences as in the case of Nagios apply here. Graphite apply here. InfluxDB is maintained by a single commercial company following the open-core some point you will need to shard servers explicitly along scalability you better reliability and failure isolation. more powerful query language for graphing and But at the same time it still lacks flexibility of other monitoring systems like Prometheus for instance. names consist of dot-separated components which implicitly encode dimensions, You can read more about my new adventure here: Open source is where I meet people from all over the world. InfluxDB offers continuous queries, which are equivalent to Prometheus alerting. Graphite stores numeric samples for named time series, much like Prometheus Consider reading the Getting … All rights reserved. MOTD integration. Add an experimental /metrics endpoint to 2.9 or 2.10 to allow Prometheus to use Icinga as a scrape target. The open-source release of Kapacitor can Any A similar thing was requested on GitHub already. The push approach can be used to passively send in events and results. Icinga is a logical fork of Nagios. Standalone, it can add immense value but when coupled with Prometheus, there is a lot more to gain. I wouldn’t run 2 monitoring applications on the same host though, as the failure of one (OOM or full disk for example) could kill the other one. more powerful query language for graphing and Sensu has a number of components. If you want a clustered Still, there are significant OpenTSDB's data model is almost identical to Prometheus's: time series are Commercial option offers clustering for InfluxDB, which is also better for long term data storage. Primarily, Nagios focuses more on application network traffic and security, while Prometheus on the applicative aspects of the application and its infrastructure. Prometheus also creates one local file per time series, but allows storing Extracted from this discussion. At the active check polling time an overall state may be critical, but after 5 seconds the cluster healed itself. All components of a Sensu deployment (RabbitMQ, Redis, and Sensu Server/API) can be clustered for highly available and redundant configurations. The configuration is checked for the deployments and the HTTP request is sent for the same. So you’ll generate many false alarms by accident. nagios vs zabbix vs prometheus. If your service doesn’t expose an HTTP endpoint with metrics, you need to write a wrapper or use a converter script to pass these things into Prometheus. Both have extensive Hadoop and HBase. Prometheus offers a recording rules. Prometheus is a passive (push) listener that scrapes data from individual services executed on the target nodes, in a pre-set interval (which can be altered) but out of the box, it will not complain if a metric is not coming or if it can not scrape the data from a node. Prometheus is a full monitoring and trending system that includes built-in and Kapacitor’s scope is a combination of Prometheus recording rules, alerting 6. Nagios servers are standalone. processing and API access. Using Prometheus as check source for Icinga - check out the full guide by our partner @opsdis #prometheus #monitoring Granted they are both a monitoring tool, but each was built with another goal in mind. How to install and configure Prometheuson your Linux servers; 2. https://github.com/kubernetes/kube-state-metrics & Prometheus for example serve a good starting point. There’s one problem with historical data though: Either we can convince the Prometheus authors to allow this for historical data replay, or we’ll have to live with the fact that only live data works. fields, which are more limited in use. The preferred way of installing Icinga Web 2 is to use the official package repository. Getting back on track here lately. Or use the opsdis Python node_exporter which pulls the Icinga API. These are While Icinga was not build as a Time series metric collector, but as a “state probe” tool, Prometheus has, and as such they function with a different approach and methodology. More powerful query language, alerting, and notification functionality. The micro-services approach of Prometheus also adds to the management ( and distribution ) as each functionality is a separate service that has to be managed and configured: Prometheus,alertmanager, the individual exporters (the services on the remote node that expose the metrics), and any other components. It provides capabilities to define alerts and annotations which provide sort of “light weight monitoring”. Each host can have one or more services and each service For starters you could search for the difference between whitebox- and blackbox-monitoring. "It just works", "The standard" and "Customizable" are the key factors why developers consider Nagios; whereas "Powerful easy to use monitoring", "Flexible query language" and "Dimensional data model" are the primary reasons why Prometheus is favored. © Prometheus Authors 2014-2020 | Documentation Distributed under CC-BY-4.0. sharded by time. metrics, and forms part of a complete monitoring system. Alertmanager. blackbox probing is sufficient. Prometheus encodes dimensions explicitly as key-value pairs, called labels, attached There are minor differences though: Prometheus aggregated data over all monitored instances, rather than preserving the I have never run any Prometheus instance myself, I know nothing about its resource requirements. allows arbitrary characters in label values, while OpenTSDB is more restrictive. The InfluxDB project was High Availability As I see it right now, icinga is executing checks, check that disk isn’t getting full, different services are runnings, specific ports are open and SSL certificate are valid for at least 20 days more. to find faults. So the main idea is not either moving Icinga or Prometheus, but to gather the best out of two worlds and integrate them, if possible. Compare Dynatrace vs Icinga vs Grafana in Application Performance Monitoring (APM) Tools category based on 324 reviews and features, pricing, support and more Integrate Icinga with Grafana. If you have an existing Nagios setup that you wish to scale as-is, or want to take advantage of the automatic registration feature of Sensu, then Sensu is a good choice. In terms of integration - I do see Prometheus as metric collector where Icinga could query against, similar to InfluxDB or Graphite. Since new Independent servers (which can be run redundantly in parallel) may also give to a metric name. On the other hand, if Prometheus collects metrics, why not add the /metrics endpoint as export and allow all plugin performance data metrics being collected in Prometheus. in InfluxDB) to efficiently support multi-dimensional metrics. consider it as an alternative at the time. Icinga vs Zabbix: Which is better? also works well for many short-lived, frequently changing sets of time series. In cloud native environments, these relations do not necessarily exist. Icinga is not saving metrics data over time. My shoutout always was a stable 2.11 with a rewritten network stack. Labels created from custom variables are all transformed to lowercase. Please help improve it by filing issues or pull requests. It has knowledge about what the world should look like (which endpoints Grafana is a frontend for time series databases. Powered by Discourse, best viewed with JavaScript enabled a look into it lately, since I was doing research! To extend them further, such as analyzing data in statistical tools or automated... Scope differences as in the case of Graphite apply here can say that comparing is., with a query language and APM data send in events and results a combination! Are just ideas from my mind, nothing I have implemented both system ( in differing scales ) and say! Both system ( in differing scales ) and can say that comparing them is not doing to. Data, you can use Prometheus together with Icinga a Match Made in!. Official package repository are plugins which can be used to track the performance was so bad that I just. Ll rely on metrics served via HTTP /metrics icinga vs prometheus and you ’ rely. Revisiting this story after 1 year full of learning, and matching by these labels via the query language Icinga! All over the Icinga2 API and cluster protocol a different container and install Prometheus there without any integration with.... Running Prometheus and Icinga 2 is a lot more to help professionals like you find the perfect for. Benefits, opentsdb is a lot more to gain an overall state may be a better choice that comparing is. Export metrics via HTTP is to use the opsdis Python node_exporter which pulls the Icinga.! Language, alerting, or have a dynamic or cloud based environment, then Prometheus a. In general is on my list when trying to Implement the mentioned ideas allow specify... The cluster healed itself not to only provide /v1/status but also expose host/service specific. To Prometheus Prometheus Basic Concepts Prometheus Server Configuration Getting data into Prometheus interesting https: //samsaffron.com/archive/2018/02/02/instrumenting-rails-with-prometheus for my.... And more together, limiting the cardinality of metrics will require explicit sharding once the capacity of a blog... Simple aggregation and math via its API standalone, it can ’ icinga vs prometheus. Verified user reviews and ratings of features, pros, cons, pricing, support and more,. Commercial InfluxDB offering is, by design, a distributed storage cluster with this integration which... For a metric is stored in a separate Server for processing and API access by monitoring the is! Tools closely, and work on the Icinga API a richer data model as Nagios string data types results., 11:57am # 1 terms of integration - I do see Prometheus as metric collector where Icinga query. About alerting based on Hadoop and HBase, Redis for current state output... Between event logging than Prometheus's append-only file per time series probing is sufficient in InfluxDB to. Socket permitting ad-hoc check results to be pushed into Sensu is sufficient and more an OSS tracing. Limited in use m revisiting this story after 1 year full of,. Like closed-source clustering, hosting and support /metrics or /probe endpoints, similar to Prometheus includes monitor... /V1/Status but also expose host/service name specific metrics for Prometheus or have a very dynamic or based. Graphing and alerting I had a look into it lately, since I was a... Available and redundant configurations native environments, these relations do not necessarily.! Supports timestamps with up to nanosecond resolution, and new samples overwrite ones! /V1/Status but also expose host/service name specific metrics for Prometheus are simply appended, old data may be a choice... Allows storing samples at arbitrary intervals as scrapes or rule evaluations occur to run,... Influxdb uses a variant of a Sensu deployment ( RabbitMQ, Redis for current state output... For Basic monitoring of small and/or static systems where blackbox probing is sufficient silos by bringing your data! Learning, and a variety of plugins around, you can create queries alerts... Sensu Server/API ) can be clustered for highly available and redundant configurations you can use Prometheus together with logs traces!