Sumo Logic Announces Integration Of Unstructured Log Data And Structured Metrics Data

Machine data analytics vendor Sumo Logic today announced the integration of structured metrics data with unstructured log data. As one of the first platforms to integrate metrics and log data in real-time, Sumo Logic expands possibilities for the delivery of actionable business intelligence with respect to infrastructure and application management. Sumo Logic’s integration of metrics with log data facilitates application diagnostics, optimization and troubleshooting via a graphical user interface that allows users to quickly identify trends and outliers. Sumo Logic’s recent extension of time-series analysis to its advanced analytics capabilities enables the delivery of even more granular analytics that empower customers to track infrastructure and operational KPIs that variously metamorphose as the application scales and more and more users engage with the platform. Sumo Logic’s integration of log and metrics data marks a notable breakthrough because of its ability to deliver actionable business intelligence on structured and unstructured data in ways that absolve users of the intensely manual process of shifting through log data to diagnose root causes associated with metrics. In a press release, Sumo Logic asserts that its “breakthrough” consists of its “ability to handle the unique structure types of log and time-series metrics data natively – within the context of each data type’s unique form,” in ways that subsequently allow users to understand the significance of log and machine data side by side or via a contextual overlay format. The integration of log and metric data marks a hugely notable addition to Sumo Logic’s portfolio by adding yet another data dimension to its multi-tenant, cloud native machine data analytics platform.

ExtraHop And Sumo Logic Collaborate To Deliver IT Insights That Combine Wire And Log Data

Wire data analytics leader ExtraHop and machine data analytics vendor Sumo Logic recently announced a partnership whereby ExtraHop’s wire data will complement machine data aggregated by Sumo Logic’s cloud platform. The partnership brings together ExtraHop’s leadership in wire data analytics and Sumo Logic’s recognized machine data analytics platform to create a unified framework for event detection and management. As a result of the collaboration, ExtraHop’s Open Data Stream delivers real-time, streaming feeds of wire data to Sumo Logic’s platform for aggregating and analyzing machine data. Meanwhile, Sumo Logic customers enjoy access to a more comprehensive universe of data about an IT infrastructure and its constituent set of applications and networking topology. ExtraHop’s real-time wire data enhances Sumo Logic’s cloud-based machine data platform with L2-L7 wire data as illustrated below:

The ExtraHop dashboard depicted above elaborates the ability of the ExtraHop platform to analyze wire data that contains insights regarding application performance, security and infrastructure availability. The Sumo Logic dashboard shows the integration of ExtraHop’s wire data into its platform and its corresponding user interface. ExtraHop’s partnership with SumoLogic delivers real-time data feeds to Sumo Logic’s cloud platform that are ingested into Sumo Logic’s cloud platform for the purpose of delivering actionable business intelligence about the health of IT infrastructures based on the aggregation of log and wire data. The graphics differentially illustrate how ExtraHop’s wire data enriches Sumo Logic’s aggregation of machine data by providing it with an additional dataset that Sumo Logic’s cloud platform can integrate into its massive, multi-tenant unstructured cloud database built on Amazon Web Services to deliver advanced analytics and data visualization regarding the detection of infrastructure and application related events.

Mark Musselman, Vice President, Strategic Alliances at Sumo Logic, remarked on the significance of the partnership between ExtraHop and Sumo Logic as follows:

Adding ExtraHop data as a new source into the Sumo Logic service for proactive analysis against other feeds enables IT teams to gain deeper performance, security and business insights from across IT infrastructure. Sumo Logic’s cloud-native architecture means the service serves an aggregation point for diverse data sources. The result is an IT team that acts on timely information from within their infrastructure – even information they did not know to ask for. A critical piece to the puzzle lies in Sumo Logic’s Anomaly Detection, a proprietary capability that delivers insight from patterns in data and insights beyond what IT teams themselves know to query.

Here, Musselman comments on the way in which ExtraHop’s data facilitates “deeper performance, security and business insights” by serving as an additional data source that enables advanced analytics about enterprise IT architectures. The integrated data repository marked by the confluence of ExtraHop wire data and Sumo Logic log data leverages Sumo Logic’s proprietary advanced analytics and machine learning technology to deliver notifications about events of interest within the infrastructure while iteratively refining those same alerts in correspondence with the actions initiated by the recipients of those same notifications. In all, the partnership between ExtraHop and Sumo Logic underscores the significance of wire data for analytics related to machine data analytics and the internet of things while concurrently enriching the capabilities of Sumo Logic’s cloud-based log management and analytics platform. With ExtraHop’s real-time wire data now streaming into the Sumo Logic platform, the case for a Sumo Logic IPO grows stronger while ExtraHop similarly benefits from enumerating the value of its wire data aggregation and analytics technology.