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.


Logentries Announces Free Log Auditing and Reporting Service For AWS

On April 15, Logentries announced an AWS CloudTrail log auditing service that aggregates log data produced by the Logentries Data Insights Service into a weekly report that provides insight into an AWS infrastructure. In filtering, aggregating and delivering data visualizations of log data, the CloudTrail log auditing report facilitates access to actionable business intelligence regarding log data by taking the onus of log data analytics away from the customer. Log data in the CloudTrail report features metrics related to the most active users, common security-related actions, unauthorized access, system activity over time and a categorization of AWS errors with metadata on their frequency. Logentries CEO Trevor Parsons elaborated on the significance of analytics on log data by noting that the “signal to noise ratio” for large volumes of log data can be low, meaning that the amount of meaningful log data within a particular log dataset is often disproportionately small in comparison to the larger volume of log data. Because of the way in which the most significant log data is often buried within a haystack of log data that effectively constitutes “noise,” the Logentries Data Insights Service is all the more useful because it gives customers enhanced access to the most salient insights from their log data. Available in May, the free AWS CloudTrail log auditing service can be accessed by Logentries customers with AWS deployments by signing up for the AWS CloudTrail weekly report via email.

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.

Loggly Raises $10.5M And Releases Second Generation Log Management Platform

Loggly, a cloud based, log data analytics platform, today announced the finalization of $10.5M in funding from Cisco and Data Collective with additional participation from existing investors Trinity Ventures, True Ventures and Matrix Partners. Loggly performs analytics on machine data from applications and platforms and transforms that data into ways that IT administrators and business stakeholders can consume. The principal use case for the company’s log management platform concerns the analysis of log data generated by cloud-based applications that generate massive amounts of log data on a daily basis in verticals such as ecommerce, gaming and social media. Today, Loggly also announced the release of its second generation log management platform which it expects will drive growth at multiples that exceed the five fold increase in growth that it experienced in comparison to last year. Loggly differentiates itself from competitors such as Splunk by way of its SaaS infrastructure, and focus on solutions targeted towards web-based traffic in addition to its enhanced data visualization functionality. According to VentureBeat, Loggly was instrumental in helping President Obama earn re-election by providing his campaign staff with insight into web traffic specific to its cloud based election software applications. Current customers of San Francisco-based Loggly include Intuit, PGI, Salesforce, Samsung and Uber.