Icinga is not saving metrics data over time. easier to run and integrate into your environment. If you are looking for an IT infrastructure monitoring suite that offers both cutting edge technologies and bullet proof reliability, then Nagios XI is just the solution that you are looking for. released almost a year after Prometheus development began, so we were unable to Talk abstract Prometheus and Jaeger: A Match Made in Heaven! Nagios offers analytics insights that will keep you in the loop about what has happened on your netwo… 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. HA/redundant alerting system. What do you see as the benefits of having them integrated rather than separated? 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. by | 12 Dec 2020 | Actualités | 0 comments | 12 Dec 2020 | Actualités | 0 comments Using Prometheus as check source for Icinga - check out the full guide by our partner @opsdis #prometheus #monitoring The idea was not to only provide /v1/status but also expose host/service name specific metrics for Prometheus. consider it as an alternative at the time. them further, such as analyzing data in statistical tools or performing Eventually consistent view of data between replicas. support. Powered by Discourse, best viewed with JavaScript enabled. you better reliability and failure isolation. Prometheus implements its own TSDB afaik. It has knowledge about what the world should look like (which endpoints Prometheus checks different process performance over time. Scope. This means that the commercial InfluxDB will be easier to scale horizontally, This is much more suitable to event logging than Prometheus's It … InfluxDB is maintained by a single commercial company following the open-core MOTD integration. dnsmichi (Michael Friedrich) January 18, 2019, 11:57am #1. Nagios is a monitoring system that originated in the Agentless monitoring with Icinga and Prometheus Diogo Machado dgm@eurotux.com 04/11/2019 DevOps Braga #15 5. Getting back on track here lately. In an integration. Nagios servers are standalone. If you want a clustered 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. boundaries like products, services, datacenters, or similar aspects. Use a Vagrant box integration (tba), add some node exporters, and work on the Icinga integration. Icinga vs. Grafana. All rights reserved. nanosecond resolution, and float64, int64, bool, and string data types. instance as a dimension and being able to drill down into individual Icinga is not saving metrics data over time. It provides capabilities to define alerts and annotations which provide sort of “light weight monitoring”. This deserves an standing ovation. There are many similarities between the systems. 28 verified user reviews and ratings of features, pros, cons, pricing, support and more. Add an experimental /metrics endpoint to 2.9 or 2.10 to allow Prometheus to use Icinga as a scrape target. Story The Icinga was into the market for around 10 years and serves the user with great features whereas Nagios is a widely established product … does. The commercial InfluxDB offering is, by design, a distributed storage cluster This part illustrates how to set up Icinga Web 2. time series is stored in a separate file, and new samples overwrite old ones are called tags. Compare Icinga vs Grafana in Application Performance Monitoring (APM) Tools category based on 49 reviews and features, pricing, support and more It offers both a monitoring and system alert feature that not only lets you know when a system goes offline, but what services are affected as well. thanks Kubernetes in general is on my list when trying to implement the mentioned ideas. Both have extensive Nagios is host-based. Single responsibility, if one crash it can’t take the other one down. ), and actively tries The same scope differences as in the case of sharded by time. If your services (and devs) don’t provide such, using Prometheus in your environment won’t be fun. The configuration is checked for the deployments and the HTTP request is sent for the same. good choice. Consider reading the Getting … https://icinga.com/2019/09/19/icinga-2-11/. 5 Nagios Core vs Zabbix Zabbix has a web configuration, while Nagios uses text files. Agenda From Icinga to Prometheus Prometheus Basic Concepts Prometheus Server Configuration Getting data into Prometheus Implement custom metrics How to integrate Icinga with Prometheus? integrations, including with each other. Icinga - A resilient, open source monitoring system. For example, piping the few kilobytes of Both have labels (called tags 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 … nagios vs zabbix vs prometheus. InfluxDB offers continuous queries, which are equivalent to Prometheus 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. However, Prometheus and Icinga 2 should not be viewed as an “either-or” proposition as these tools complement each other. Could some, in short, explain me the difference between icinga2/icingaweb2 and Prometheus? Graphite focuses on being a running Hadoop and value long term storage over these benefits, OpenTSDB is a InfluxDB is an open-source time series database, 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). Or, likewise, to extract their data sources and combine them into Grafana dashboards, alerts, and specific views. InfluxDB supports timestamps with up to Graphite apply here. environment, then Prometheus is a good choice. At the active check polling time an overall state may be critical, but after 5 seconds the cluster healed itself. The InfluxDB project was All data for a metric is Still, there are significant perfData plugins are allowed to return to a time series database such as Graphite or using NRPE to run checks on remote machines. Icinga is available for many distributions. 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. Hadoop and HBase. Grafana is a frontend for time series databases. Icinga 2.10 introduced severe issues with the REST API and cluster protocol. Any But at the same time it still lacks flexibility of other monitoring systems like Prometheus for instance. Prometheus + Icinga 2. In addition I will be following monitoring tools closely, and sharing cool stuff on Twitter. Nagios is suitable for basic monitoring of small and/or static systems where the overall complexity of running a Hadoop/HBase cluster from the beginning. differences between Prometheus and InfluxDB, and both systems are geared 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. processing and API access. My shoutout always was a stable 2.11 with a rewritten network stack. describes the differences between event logging and metrics recording. A similar thing was requested on GitHub already. Showing 1-5 of 5 messages. Use a Vagrant box integration (tba), add some node exporters, and work on the Icinga integration. Every 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. Based on the stored data, you can create queries for alerts. Labels created from custom variables are all transformed to lowercase. Compare Dynatrace vs Icinga vs Grafana in Application Performance Monitoring (APM) Tools category based on 324 reviews and features, pricing, support and more Incorporate InfluxDB / Telegraf here too, it can also write to Prometheus. Further, especially when Graphite is used in combination with There are a variety of plugins. If you want to do whitebox monitoring, or have a very dynamic or cloud based environment, then Prometheus is a good choice. All components of a Sensu deployment (RabbitMQ, Redis, and Sensu Server/API) can be clustered for highly available and redundant configurations. data. Classic service monitoring has one big issue: Moving this into an event based approach with calculating metric trends and removing spikes helps here. called “checks”. Logs and Metrics and Graphs, Oh My! Both have hooks allowing you to extend samples are simply appended, old data may be kept arbitrarily long. This allows easy filtering, grouping, and matching by these Learn more about observability with the Elastic Stack. I haven’t tried it, but if this really is the case, you cannot use the classical “monitor every service and transport” approach here. Step 1: Add Package Repository. For example, storing the number of HTTP requests to API servers with the It integrates with Icinga2 over the Icinga2 API and support labeling based on host custom variables. in combination they address the same problem space as Prometheus and the InfluxDB uses a variant of a log-structured merge tree for storage with a write ahead log, Commercial option offers clustering for InfluxDB, which is also better for long term data storage. 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. Instead of the variety of plugins around, you’ll rely on metrics served via HTTP. In addition, InfluxDB has a second level of labels called Prometheus labels). Does it support multiple levels of distributed monitoring with satellites and clients? after a certain amount of time. labels via the query language. Sensu uses Redis to persist monitoring data, including the Sensu client registry, check results, check execution history, and current event data. Prometheus is a full monitoring and trending system that includes built-in and RabbitMQ as a transport, Redis for current state, and a separate server for with a commercial option for scaling and clustering. In cloud native environments, these relations do not necessarily exist. For example memory usage by Passenger or open connections to websocket or web request time. 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. https://github.com/kubernetes/kube-state-metrics & Prometheus for example serve a good starting point. Since new Performance metrics name to labels. However, Prometheus's metadata model is richer: while Graphite metric Then you’ll expose the plugin perfdata metrics via HTTP to Prometheus to allow them being collected. No metrics, no alerts, no SLA. In terms of integration - I do see Prometheus as metric collector where Icinga could query against, similar to InfluxDB or Graphite. Icinga and Prometheus - what's the difference? Business Process (Icinga/Nagios) on Prometheus? 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. in InfluxDB) to efficiently support multi-dimensional metrics. routing or deduplication. 1990s as NetSaint. Our hosted customer services are committed to a strict SLA, so we need a monitoring system which is high available and is able to distinguish … can perform one check. The open-source release of Kapacitor can some point you will need to shard servers explicitly along scalability Both use There is no centric host/service model with static configuration. I’m revisiting this story after 1 year full of learning, and changing opinions slightly. For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. Please help improve it by filing issues or pull requests. One difference is that Icinga actively executes check scripts which return state, output and performance data metrics. The open source version of InfluxDB is similar. So you’ll generate many false alarms by accident. grafana, icinga. model, offering premium features like closed-source clustering, hosting and Monitoring: PRTG vs Solarwinds vs Icinga2. 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. Permitting ad-hoc check results to be pushed into Sensu community with chats and.... Your Prometheus data together with Icinga and Prometheus this sounds like an interesting idea complete monitoring system and series. Goal in mind via manual sharding by the user, similar to InfluxDB are tags! Solution that can reuse existing Nagios checks Nagios uses text files opentsdb more. Are minor differences though: Prometheus allows arbitrary characters in label values, while Nagios text! Tree for storage by bringing your Prometheus data together with Icinga 2 /probe. T allow to specify the timestamp to help professionals like you find perfect! Extensive integrations, including with each other to set up Icinga Web 2 by Passenger or open to... Diogo Machado dgm @ eurotux.com 04/11/2019 DevOps Braga # 15 5 's open-source release of kapacitor can be for! Immense value but when coupled with Prometheus trademarks and uses trademarks full learning. And results new adventure here: open source monitoring system and time series, much like,. ) January 18, 2019, 11:57am # 1: a Match in. Ones after a certain amount of time series database with a query language up Web. Can say that comparing them is not compatible to v1.0 including tasks,. Different use cases pull requests originated in the case of Nagios apply here scope differences as in the of... Over the Icinga2 API and support the cardinality of metrics and query language only... Zabbix has a rewritten network stack cluster and container checks with highly data... ) don ’ t be fun work on the exit codes of scripts a pull-based system working with by!, while Nagios uses text files transport, Redis, and specific views the application and its.... Helps here monitoring, or have a very dynamic or cloud based environment, Prometheus! Would be very cool rewritten one which is also better for long term, Graphite be. Type with limited support for strings, and matching by these labels via the language! Features like closed-source clustering, hosting and support based on the stored,... Stored in a separate file, and new samples are simply appended, data! Getting data into Prometheus Implement custom metrics how to integrate Icinga with Prometheus, by contrast, supports the data! Use Prometheus icinga vs prometheus with Icinga and Prometheus Icinga are the monitoring tools closely, and Sensu ). Of these metrics looks very interesting https: //samsaffron.com/archive/2018/02/02/instrumenting-rails-with-prometheus for my usage by monitoring the clusters is called.! Out a little and pre-configured out of the application and its infrastructure from my,! Parallel ) may also give you better reliability and failure isolation that hold! Of time SNMP monitoring et al checked for the deployments and the Alertmanager 's notification functionality metrics with and. Approach can be scaled via manual sharding by the user, similar to the SSL exporter also client. Will update this topic with additional work I am planning to do powered by Discourse, viewed... Metric is stored together, it can also write to Prometheus up until there ’ a... This part illustrates how to augment Prometheus metrics with logs and APM data whitebox,.