Sumo Logic CEO Vance Loiselle

Sumo Logic, a machine data intelligence company based in California, today announced the general availability of Transaction Analytics as part of its analytics platform. This technology applies the concept of mining connections between transactions to take complex systems and provide patterns with context.

As a data intelligence company, Sumo Logic hopes to provide customers a path to visualize the complex connections between events and transactions to deliver real-time insights. Transaction Analytics does this by mining transactions for connections and bringing those connections to the attention of engineers and management.

The new system also includes pre-built dashboards to help organize complex relationships within and between transactions. This should give ops and management teams a head start in seeing how the system operates.

Sumo Logic lists these as the key features and benefits of implementing Transaction Analytics:

• Reduce MTTI (mean time to identification) and expedite root cause analysis by surfacing components of transactions across distributed environments;
• Automate processes for collection and analysis of transactional context to decrease time associated with compiling and applying intelligence;
• Real-time transaction analysis helps identify and remediate issues before they impact critical systems;
• Drive strategic and informed business decisions by identifying core-user behaviors;
• Clear visualization to outline complex transactional relationships in real-time.

“Intelligent analytics has been central to our vision of tapping the great corporate asset known as machine data, from our real-time dashboards to our patent-pending pattern-recognition and anomaly detection capabilities,” said Vance Loiselle, CEO at Sumo Logic.

The rise and rise of machine data for business

Every time something happens in a networked system it produces data. That data is often captured by logs or spit out by information services or output by instrumentation—but machine data is everywhere, in every environment, from hosted servers, mobile devices, to the cloud.

Sumo Logic’s Transaction Analytics appears to be primarily directed towards business users—building insights into dashboards and visualizations that could show how the environment affected business use cases, as well as security and compliance.

This year Splunk helped drive home the proliferation of machine data and the complex ways that interconnections between events, logs, and transactions can be used to arrive at powerful insights. Splunk also showed a strong gravity towards providing insights and capabilities to non-technical users, which is where most business users lay on the gamut.

Sumo Logic appears to be following this same trend by leveraging the power of analytics and dashboards to assist in visualization for business users.

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