StackState named a Representative Vendor in Gartner's 2018 Market Guide for AIOps Platforms
Bas Willems· 4 min read
UTRECHT, THE NETHERLANDS – StackState named a Representative Vendor in Gartner’s 2018 Market Guide for AIOps Platforms. Gartner’s latest “Market Guide for AIOps Platforms” named StackState as a Representative Vendor. We believe this recognition notes StackState as a reputable AIOps vendor for organizations seeking to achieve a high-quality, impact-free IT landscape through artificial intelligence.
“AIOps platforms enhance IT operations through greater insights by combining big data, machine learning, and visualization,” Gartner states. Used as a reference by infrastructure and operations leaders around the world, it’s our view that the report provides a comprehensive overview of the AIOps market direction, its latest trends, use cases, and Representative Vendors worldwide.
We believe that StackState’s inclusion proves its expertise and insight, particularly into the issues of existing monitoring and management systems. Lodewijk Bogaards, CTO at StackState, explains, “These systems are not equipped to handle today’s complex, scalable and dynamic IT landscapes and the volumes and variety of data they generate. Too much work is left to be done manually, and the tools used only address specific aspects, such as applications, infrastructure or networks.”
According to the Gartner report, “existing monitoring tools are stressed when dealing with high volume, variety and velocity of data. More importantly, monitoring tools do not cut across the multiple data types required for extracting useful insights.” This fragmented monitoring approach limits IT Operation’s ability to detect, diagnose and address performance issues and to predict potential impact on other critical parts of an organization.
StackState’s AIOps platform delivers insight into the complete IT landscape by collecting every millisecond of change, from any data source in real time. By doing so, StackState also enables its users to travel back in time to diagnose any IT system, across all data ingested at that specific moment in time. With this data-agnostic approach, StackState fits right into the heart of AIOps where AI is applied as a layer on top of broad range of monitoring data, instead of within domain-centric monitoring data. According to Gartner, infrastructure and operations leaders should “select platforms that enable comprehensive insight into past and present states of IT systems by identifying AIOps platforms that are capable of ingesting and providing access to a broad range of data.”
Gartner also writes, “Domain-centric monitoring tools will continue to exist, providing data capture, analysis, and visualization of their domains for the specialist. However, they will forward their data streams to an AIOps platform, acting as a lens where the data will be focused into a single, coherent, cross-domain analysis.”
StackState acts as this ‘lens’ and delivers one single AIOps platform for multi-cloud, microservices, and on-prem IT landscapes. StackState uses its intelligent 4T Data Model® to deliver real-time analysis across teams and tools, to reduce the Mean-time-to-Detect (MTTD) and Mean-time-to-Remediate (MTTR). These insights are visualized and provided through StackState’s unique topology visualization interface.
Gartner states, “Using topology as part of causality determination can greatly increase its accuracy and effectiveness. Capturing where events occurred, and their up and downstream dependencies using a graph and bottleneck analysis can provide great insight as to where to focus remediation efforts.”
Other important AIOps use cases seen in the market, included automated pattern discovery, advanced statically analysis, and anomaly detection. StackState is already taking the next steps into the future of IT Operations with Automated Pre-Mortem Analysis (APMA). “By way of artificial intelligence, APMA combines information for a predicted incident and its consequences into a post-mortem-like report, before the incident impacts your business, avoiding high-severity outages,” explains Lodewijk Bogaards, CTO at StackState,
Organizations like KPN Telecom, NN Bank, and the Dutch International Railways already use StackState’s AIOps platform to drive innovation, while reducing IT time spent on fixing operational problems. In the coming years, the AIOps market will grow rapidly, and StackState will continue to lead the way into the future of artificial intelligence for IT operations.
Gartner, Market Guide for AIOps Platforms, Pankaj Prasad, Charley Rich, 12 November 2018.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Bas Willems· 4 min read