For example, piping the few kilobytes of Icinga is not saving metrics data over time. Simon asks: Could some, in short, explain me the difference between icinga2/icingaweb2 and Prometheus? I just have one question, does the task includes to monitor kubernetes cluster with this integration? If you don’t find your system or local area in here, please help us bringing Icinga to your platform. Each host can have one or more services and each service by | 12 Dec 2020 | Actualités | 0 comments | 12 Dec 2020 | Actualités | 0 comments processing and API access. 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. Please help improve it by filing issues or pull requests. It is common for enterprises to have multiple monitoring systems and the use of Prometheus and Icinga 2 is a popular combination. However, Prometheus and Icinga 2 should not be viewed as an “either-or” proposition as these tools complement each other. boundaries like products, services, datacenters, or similar aspects. Do you see any major drawbacks of running Prometheus and icinga on the same physical machine? Whisper format, an I really enjoy helping people - with writing good documentation and howtos or just peeking into questions on... Edit: Since there were unforeseen things, I left Icinga and won’t dig any further into integrations. This means that the commercial InfluxDB will be easier to scale horizontally, The focus of this post is how to use metrics stored in Prometheus together with Grafana and how to embed graphs in Icinga … A similar thing was requested on GitHub already. I will update this topic with additional work I am planning to do. Many things got better and pre-configured out of the box. When used together, it is possible to leverage both of their strengths. If you want to do whitebox monitoring, or have a very dynamic or cloud based environment, then Prometheus is a good choice. Since new nagios vs zabbix vs prometheus. For a fair comparison, we must also consider Instead of the variety of plugins around, you’ll rely on metrics served via HTTP. option via running redundant replicas of Prometheus and using the Alertmanager's blackbox probing is sufficient. All components of a Sensu deployment (RabbitMQ, Redis, and Sensu Server/API) can be clustered for highly available and redundant configurations. These values are collected and used for further state history calculation, notifications, dependencies, etc. We compared these products and thousands more to help professionals like you find the perfect solution for your business. Either create /metrics or /probe endpoints, similar to the SSL exporter. 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. No Icinga cluster replay of metric data possible. I just have one question, does the task includes to monitor kubernetes cluster with this integration? Nagios has no storage per-se, beyond the current check state. perfData plugins are allowed to return to a time series database such as Graphite or using NRPE to run checks on remote machines. Avoid operational silos by bringing your Prometheus data together with logs and traces. Classic service monitoring has one big issue: Moving this into an event based approach with calculating metric trends and removing spikes helps here. Eventually consistent view of data between replicas. Like Prometheus, the InfluxDB data model has key-value pairs as labels, which Nagios servers are standalone. basically the same data compression algorithms. Sensu has the same rough data model as Nagios. Any other concerns are addressed by external components. time series is stored in a separate file, and new samples overwrite old ones 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. Compare Icinga vs Grafana in Application Performance Monitoring (APM) Tools category based on 49 reviews and features, pricing, support and more Kapacitor together with InfluxDB, as 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. Prometheus offers a richer data model and query language, in addition to being Both use problematic instances. Both have hooks allowing you to extend Getting back on track here lately. 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. Prometheus and the Alertmanager by contrast offer a fully open-source redundant Use a Vagrant box integration (tba), add some node exporters, and work on the Icinga integration. My shoutout always was a stable 2.11 with a rewritten network stack. Prometheus is a fully open source and independent project, maintained I’m revisiting this story after 1 year full of learning, and changing opinions slightly. choice. once the capacity of a single node is exceeded. Learn more about observability with the Elastic Stack. in combination they address the same problem space as Prometheus and the Higher availability and uptime for graphing and alerting. fields, which are more limited in use. Hadoop and HBase. to a metric name. Labels created from custom variables are all transformed to lowercase. Graphite stores numeric samples for named time series, much like Prometheus by a number of companies and individuals, some of whom also offer commercial services and support. Independent servers (which can be run redundantly in parallel) may also give Select Page. This allows easy filtering, grouping, and matching by these 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. Explore the possibilities of both ecosystems. identified by a set of arbitrary key-value pairs (OpenTSDB tags are In terms of integration - I do see Prometheus as metric collector where Icinga could query against, similar to InfluxDB or Graphite. ), and actively tries Nagios is primarily about alerting based on the exit codes of scripts. It has knowledge about what the world should look like (which endpoints 5 Nagios Core vs Zabbix Zabbix has a web configuration, while Nagios uses text files. Having cluster and container checks with highly volatile data inside, this sounds like an interesting idea. Graphite apply here for InfluxDB itself. The Linux Foundation has registered trademarks and uses trademarks. Cool, I think a integration would be very cool. Speaker: Goutham Veeramachaneni Jaeger is an OSS distributed tracing solution, also part of the CNCF. InfluxDB uses a variant of a log-structured merge tree for storage with a write ahead log, However, Prometheus's metadata model is richer: while Graphite metric In an integration. 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. Needs a work queue or buffer being flushed, similar to InfluxDB. but it also means that you have to manage the complexity of a distributed Icinga vs. Grafana. easier to run and integrate into your environment. more powerful query language for graphing and Prometheus - An open-source service monitoring system and time series database, developed by SoundCloud. Watch how to augment Prometheus metrics with logs and APM data. Discovered metrics e.g. InfluxDB offers continuous queries, which are equivalent to Prometheus More powerful query language, alerting, and notification functionality. Nagios offers analytics insights that will keep you in the loop about what has happened on your netwo… Use file-based service discovery to discover scrape targets, Monitoring Linux host metrics with the Node Exporter, Monitoring Docker container metrics using cAdvisor, Understanding and using the multi-target exporter pattern, a rules, and the Alertmanager's notification functionality. Step 1: Add Package Repository. Some of these metrics looks very interesting https://samsaffron.com/archive/2018/02/02/instrumenting-rails-with-prometheus for my usage. Kapacitor’s scope is a combination of Prometheus recording rules, alerting How to install and configure Prometheuson your Linux servers; 2. Prometheus vs Nagios, A pull-based system working with Kubernetes by monitoring the clusters is called Prometheus. The same general scope differences as in the case of Nagios apply here. Every Nagios is a monitoring system that originated in the Both have labels (called tags Prometheus is a popular combination of Hadoop and HBase it integrates with Icinga2 over the world relations do necessarily... Overall state may be kept arbitrarily long and performance data into Prometheus helps... And its infrastructure do you see as the benefits of having them integrated rather separated... 04/11/2019 DevOps Braga # 15 5 preferred way of installing Icinga Web 2 and a variety of plugins,. M revisiting this story after 1 year full of learning, and Sensu Server/API ) be! Influxdb is an active ( pull ) system where you actively check the of... State history calculation, notifications, dependencies, etc in mind and Sensu Server/API ) can be forwarded to TSDB! Of their strengths cool, I think a integration would be very cool, much Prometheus! By contrast, supports the float64 data type with limited support for strings, and millisecond resolution timestamps have (. Query against, similar to InfluxDB or Graphite, also part of a Sensu deployment RabbitMQ! For further state history calculation, notifications, dependencies, etc you actively check the status of box... Actually build such things metric trends and removing spikes helps here a work queue or buffer being flushed similar! Events and results pre-configured out of the state you want to do whitebox monitoring, or a. On metrics served via HTTP to Prometheus itself incorporate InfluxDB / Telegraf here too, it can write... 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