Infrastructure and application monitoring
The solution to monitor your entire infrastructure stack, including servers, containers, databases and cloud services.
Efficiently finding and addressing infrastructure and application issues through proactive monitoring is critical to providing your users with the great experience they deserve.
What infrastructure and application monitoring can solve for you
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helps to identify and resolve problems before they affect critical business processes and plan for upgrades before outdated systems begin to cause failures.
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.
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-premise. InfluxDB’s efficient clustering capabilities ensure service availability in this distributed, always-on world.
NewVoiceMedia chose InfluxData to provide 99.999% uptime monitoring of their global SaaS over Graphite, DataDog, NewRelic and ElasticSearch because it could meet and exceed their business and technical requirements.
Coupa is making DevOps Monitoring a competitive weapon by moving from pure data collection to predictive analytics to drive their business forward. Metrics are collected via Kafka, stored in InfluxDB and visualized in Grafana.
IBM uses InfluxData to provide monitoring, visibility, and control of its Trusteer product line. This is a SaaS solution that provides full protection against online fraud. The solution has to handle hundreds of virtual servers.
Reducing Snowflakes with Automatic Deployments via Lighthouse
In this video, we are going to go through the journey that Optum took with its automation in deploying Telegraf, InfluxDB, and Lighthouse at scale.