SignalFx delivers new monitoring capabilities for cloud operators


Effective monitoring of information technology systems becomes increasingly important in the migration to a modern IT architecture such as containers or microservices, but many companies lack the ability to identify trends in their data that could indicate potential problems.

SignalFx Inc., a company that makes operational intelligence solutions for the cloud, wants to change that. It’s hoping to do so by introducing new alerting capabilities that use sophisticated analytics to enable companies to monitor data and identify issues before they blow up.

Karthik Rau, chief executive officer of SignalFx, said a growing number of companies are moving to the cloud, and that many of them have already embraced modern IT approaches such as containers and microservices. Once they do so, they quickly realize they need a new breed of operational intelligence tools to monitor their data, as traditional alerting systems no longer suffice.

“Any organization moving to microservices or leveraging container-based architectures is faced with new challenges around managing alert noise and minimizing triage time when something is going wrong with their application,” Rau said in a statement.

SignalFx’s latest platform update is designed to go beyond traditional monitoring tools that only look at individual components, focusing instead on real-time data analytics collected across the entire cloud environment.

The main feature in SignalFx’s new release is alerting capabilities that help operators to better monitor their cloud infrastructure, applications and containers. The new Alert Preview feature also allows users to test and preview the results of alert conditions on historical data, so they can identify the frequency of those alerts before they’re applied to real-time data streams.

The release also features something called “pre-built alert conditions” for cloud operations that can be used to save time when setting monitoring and delivery alerts for cloud applications. Some of these conditions include historical anomaly detection, outlier detection and sudden change alerting. SignalFx also enables direct access to the alert condition library via the SignalFx API.

“Running a cloud-based platform means we have to account for all of the possible risks to our business operations while monitoring thousands of instances and applications,” said Jay Ferrin, vice president of quality and infrastructure services at Acquia, a customer of SignalFx. “The new alerting capabilities from SignalFx will ensure our engineers are able to configure the alerts they need to quickly identify the source of performance and stability issues so we can minimize the impact they have on our customers.”

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