Infrastructure and Application Monitoring

The solution to monitor your entire infrastructure stack, including servers, containers, databases and cloud services.

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What infrastructure and application monitoring can solve for you

Efficiently finding and addressing infrastructure and application issues through proactive monitoring is critical to providing your users with the great experience they deserve.

Emerging trends like microservices, containerization, elastic storage, software-defined networking and hybrid clouds are pushing the boundaries of what constitutes DevOps monitoring. InfluxDB can monitor and control private and public cloud infrastructures (e.g., PaaS, SaaS, website), application, and database instances and the entire infrastructure including network servers, routers, and switches. Real-time infrastructure and application monitoring using InfluxDB helps to identify and resolve problems before they affect critical business processes and plan for upgrades before outdated systems begin to cause failures.

Consolidated view

InfluxDB is a system of insight for all infrastructure monitoring. Integrated input plugins allow you to pull metrics from your system or third-party APIs, or even listen for metrics via StatsD and Kafka consumer services. And the output plugins send metrics to a host of external data stores, services, and message queues, including InfluxDB, Graphite, OpenTSDB, Datadog, Librato, Kafka, MQTT, NSQ and more. And if that doesn’t work for you, you can easily build your own plugin to fit with your unique environment – we’ll never force you to pay extra for a custom plugin or adapt to fit with a monitoring tool.

Real-time monitoring with precision

InfluxDB gives you visibility with real-time access out of the gate so you can quickly find value in your data — identifying patterns, predicting the future, controlling systems, and turning insights into action. Whether your data comes from servers, databases or your applications, get instant insights and stay ahead of the curve.

Real-time monitoring requires keeping data at the right precision in order to support maintaining increasingly stronger SLAs. Issues that can negatively impact SLAs need to be addressed in real time, which often means in seconds not minutes. InfluxDB supports precision down to the nanosecond. It also allows for downsampling of that data – for instance, high-precision data can be kept for a short period of time with longer retention periods for summary data at medium or lower precision.


Automation is a huge boon to organizations. Today’s agile organizations and modern applications require automatic computer-driven actions. InfluxDB allows for the definition of custom logic or user-defined functions to process alerts with dynamic thresholds, match metrics for patterns or compute statistical anomalies, automatically scale containers, and basically do anything that you can program. It can perform these analytics on streams as well as data stored in the database. InfluxDB’s simple plugin architecture, or interface, allows it to integrate with any anomaly-detection engine, machine learning libraries, pattern matching engines, rules engines and the like. InfluxData also provides a set of notification services that can trigger Slack, PagerDuty and others. The result is higher business value with systems able to automatically react to metrics and patterns as they are detected.

Continuous delivery

Every organization strives to support continuous delivery so it can get changes of all types into production in a safe, quick and sustainable manner. Through its scalability, flexibility, and reliability, InfluxDB enables not only advanced monitoring but ultimately business value creation — from providing the framework for testing in a production-like environment to releasing software updates faster, more frequently and dependably. Successful DevOps execution brings enterprises closer to achieving continuous delivery.

InfluxDB’s open and extensible architecture can even help enterprises burdened with maintaining legacy systems to discover and address errors in these systems in the same manner that they do with newer systems. This allows them to avoid multiple point solution systems monitoring, application performance monitoring and business process monitoring.

Global distributed environments

Today’s SaaS solutions and internal data centers are part of a global platform. They are distributed geographically, across cloud vendors and internal infrastructures. InfluxData offers a truly hybrid approach, allowing collection and running of the platform across cloud vendors, public clouds, private clouds and on-premises. InfluxDB’s efficient clustering capabilities ensure service availability in this distributed, always-on world.

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Read more about infrustructure and application monitoring implementations made available by the InfluxDB community:

Telegraf Zipkin plugin: Zipkin tracing data can be collected via Telegraf and sent to InfluxDB.

Jaeger InfluxDB plugin: gRPC client plugin is used to collect tracing data and send it to InfluxDB.

Synthetic transaction monitoring: xSum emulates the user journey through a site or web application, ensuring that transactions take place error-free. All data is stored in InfluxDB.

Load testing: is a distributed load testing platform that supports testing with open source tools like JMeter, Gatling, and Selenium.’s platform collects and aggregates real-time data from the tests conducted by their customers in InfluxDB Cloud.