451 Research: StackState tackles monitoring data silos

UTRECHT, THE NETHERLANDS – 451 Research latest report writes that StackState responds to a high demand from the many organizations that struggle to get a centralized view of application and infrastructure performance in order to quickly discover the cause of performance problems. The report by 451 Research outlines StackState’s unique positioning, product offering and competitor landscape.

Read the full 451 Research report here.

Customers appreciate StackState's openness to data

StackState is among a small set of vendors advancing the segment of event analytics tools. The software analyzes metrics, logs, events and other data in order to deliver a broad view of IT systems, and to assist teams in discovering the root cause when problems occur. StackState can ingest data beyond typical monitoring data, including from Google Analytics, social media, business metrics, CMDBs, CI/CD tools, service registries, automation and incident management tools, so that users can visualize the health of the infrastructure through the application up to the business. 

Eliminating war room debates

451 expects that once StackState points to the likely source of the problem, many users will switch to the third-party tool that originally collected the data, to dig deeper into the trend. This workflow would allow an organization to designate StackState as the central source of truth, eliminating war room debates that ensue when various team members are only able to view a slice of performance data in their specialized tool of choice. This increases team efficiency and productivity.

Easy trouble shooting in highly dynamic IT landscapes

The primary visualization in StackState is the topology map, which highlights problem areas in red. Users can easily view different perspectives, including by application or domain, such as AWS or a particular datacenter. Users can dig into incidents by moving a slider along a timeline to see when a metric spikes, and correlate that spike with the cause, such as a new code push. The UI element, employed by StackState is useful in dynamic environments to enable users to view the order of events as they troubleshoot the root cause. 

StackState intelligently alert users about related IT incidents

StackState uses Artificial Intelligence and Machine learning in combination with the topology map it has created of a user's environment in order to intelligently alert users about related problems and their root cause. This reduces the Mean time to Discover and Mean time to Remediate dramatically. 

Learn about how StackState uses Artificial Intelligence to drive service delivery outcomes.

The shortcoming of other monitoring vendors

Traditionally, event analytic tools collected and analyzed events in an effort to deliver a more comprehensive view of incidents than could otherwise be had from siloed tools that specialized in offering visibility into just one layer of a service, 451 Research explains. Some of these tools, however, have had shortcomings for several reasons, including relying on the user to determine which events to send to the tool, lacking an understanding of topology, or not being able to analyze metrics or other types of data. All of this may make it more difficult for the tools to surface important incidents and identify their cause.

StackState, however, collects more types of data in addition to events, and has built a system that can efficiently tap into data collected by third-party tools in order to help DevOps, SREs and IT operations professionals quickly identify the root cause of problems. 

Read the full 451 Research report here.

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