REDWOOD CITY, Calif., June 12, 2018 (GLOBE NEWSWIRE) — Sumo Logic, the leading cloud-native, machine data analytics platform that delivers continuous intelligence, today announced new platform capabilities to make it easier to automate, manage and gain business insights from microservices-based, modern application architectures that use containers, such as Docker, and orchestration software, like Kubernetes and Amazon EKS. With these improvements, Sumo Logic is bringing together the power of contextual and telemetry insights across containers, orchestration and underlying application infrastructure for users to gain end-to-end, holistic visibility into their modern application architectures. Sumo Logic will be showcasing these innovations this week at DockerCon 2018 in booth S5.
Today’s modern applications are driving revenue-generating, digital services that are reliant on continuous improvement practices to ensure their customers’ experiences remain engaging, sticky and secure. However, microservices-based architectures are highly distributed, making them harder to effectively monitor and manage, which opens them up to operations and security risks that can disrupt or undermine customer experience. Sumo Logic’s new platform enhancements now provide richer metadata support for instrumentation, analytics and cloud platforms, and convert unstructured data to structured and time series data in real-time, allowing users to extract more business value from their machine data faster to speed application improvement cycles, deliver better customer experiences and increase decision-making across the organization.
Using machine data analytics to drive better customer experience for end-customers and speeding time-to-market are among the top drivers democratizing machine data across non-IT and security functions, according to a new research study commissioned by Sumo Logic from 451 Research, “Using Machine Data Analytics to Gain Advantage in the Analytics Economy.” The degree to which non-IT roles and functions are utilizing machine data analytics for business value is growing faster than anticipated. For example:
The more software-centric a company is, the more likely it is to:
have 100+ people who use machine data analytics at least once a week, indicating that software-centric companies recognize the value of machine data analytics;
have line-of-business users integrating machine data with data from BI tools, to gain the visibility they need to drive business KPIs;
More than 30 percent of respondents reported roles outside of IT and security use cases who use machine data analytics, including product managers, customer support, data scientists, the CEO and BI analysts;
54 percent of survey respondents say their companies are already using their machine data tools for business insight, and 50 percent are using these tools specifically to support the end-user experience;
44 percent report that the adoption of modern technologies like containers and microservices makes it more challenging to get the data they need for quick decision-making, underscoring the need for analytics tools to evolve to meet the demands of new, distributed, modern application architectures.
The survey also highlights the barriers to wider adoption of machine data analytics, which include making tools easier to use for non-IT users and having real-time access to data and advanced analytics, such as machine learning.
Harnessing Machine Data Analytics to Deliver the Best Customer Experiences
Thousands of Sumo Logic users are leveraging the Sumo Logic platform to transform machine data analytics into the continuous intelligence needed to help ensure its end users have the best experience possible.
“Sumo Logic has helped us to consolidate disparate machine data into one centralized location on the Pitney Bowes Commerce Cloud,” said Paul Vasquez, director, strategic technical alliances, Pitney Bowes. “This enables us to turn machine data into business intelligence and frees up our teams to focus on innovation rather than technical aspects. Now, when we give customers a dashboard from the Sumo Logic platform, they see their usage in an easily visualized and business-friendly format.”
“As an AI-powered business providing digital writing assistance to more than 10 million users every day, Grammarly understands the value of leveraging data analytics to meet our customers’ evolving needs,” said Pramod Thangali, VP of Engineering, Grammarly. “Our partnership with Sumo Logic helps ensure we have a scalable, reliable, and cloud-native machine data analytics infrastructure — an essential component of our business as we continue to grow our user base.”
“As a SaaS provider of loan lifecycle software, we originally came to Sumo Logic to help us with our PCI compliance requirements, but we quickly uncovered an entirely different use case,” said Cesar Olea, director of software development, Simnang. “Our customers rely on us to provide not just the tools but also the support they need throughout the entire loan lifecycle. With Sumo Logic, we can leverage machine data insights to understand how our clients are using our different services as well as other trending data on loan requests to better understand our business and ensure each customer’s needs are adequately being met. Sumo Logic has become our business decision dashboard. We’ve adopted Sumo Logic into all of our applications ranging from LoanPro Software to PCI-Wallet, allowing us to get a full picture to help our team make the necessary decisions.”
New Sumo Logic Features Debuting at DockerCon 2018
As validated by the study, the adoption of emerging microservices technologies, such as containers and orchestration platforms, are key for speeding innovation, which in return, creates a greater reliance on machine data analytics to manage and secure these services. Sumo Logic is announcing three new key capabilities at DockerCon 2018 that further support these technologies, delivering valuable operational and business insights for modern applications in the cloud.
Reduce Downtime with Deeper Native Support for Kubernetes Anywhere. Sumo Logic’s native integrations and out-of-the-box insights into Kubernetes and Docker already address a major blind spot for businesses adopting microservices and cloud in order to compete in today’s complex IT landscape. Sumo Logic now supports Kubernetes wherever it runs with native support for Amazon Elastic Container Service for Kubernetes (Amazon EKS) new managed service. Additionally, Sumo Logic has added support for performance metrics and metadata via the open source standard Prometheus, used by the Kubernetes community. This allows customers to ingest metrics and metadata relevant to monitoring Kubernetes clusters, to quickly and proactively resolve customer issues and reduce downtime.
Optimize Machine Data for Improved Analytics Performance. Unstructured machine data is not always optimized for the kind of real-time analytics customers need to inform business decisions. Now with Sumo Logic, customers can easily extract performance metrics and key performance indicators from unstructured logs, while still retaining those logs for root cause analysis. These metrics can then be used with the Sumo Logic time series engine, providing 10 to 100 times the analytics performance improvements over unstructured log data searches, as well as support long-term trending of metrics.
Easily Extract Valuable Business Insights from Machine Data. Increasing the accessibility of essential machine data insights and mapping those to actionable, contextual business analytics for IT and non-core-IT users is critical. In addition to full metadata support for Kubernetes, as mentioned above, users can now convert their existing Graphite-formatted performance metrics into the metadata-rich, metrics 2.0 format supported by Sumo Logic, both in real-time and after ingestion. This allows customers to increase the usability and accessibility for their analytics users by allowing them to leverage business relevant tags, instead of relying only on obscure, technical tags. Sumo Logic has also unveiled custom tagging support for any log source.
“The world is moving from generic solutions to personalized ones that address very specific customer pain points, and this requires an agile and flexible platform built for the cloud,” said Bruno Kurtic, founding VP of product and strategy, Sumo Logic. “Legacy analytics tools have failed organizations because they can no longer deliver the visibility needed to support the investment customers are making in modern architectures at cloud scale. The new enhancements to Sumo Logic’s platform not only provide real-time access to machine data analytics as a service, but also make data easily accessible to everyone, enabling organizations to leverage these insights to drive better experiences for their customers.”
Sumo Logic will be speaking at DockerCon 2018 on Thursday, June 14 from 1:10-1:50 p.m. PT in Ecosystem A, Room 2006 on how to leverage the machine data of your containerized environment for operational, security and business intelligence.
Survey Methodology and Demographics
A 451 Research Black & White paper is a study based on primary research survey data that assesses the market dynamics of a key enterprise technology segment through the lens of the “on the ground” experience and opinions of real practitioners — what they are doing, and why they are doing it. Sumo Logic commissioned a report that was conducted in May 2018 and surveyed a cross section of users from 250 companies to gain an accurate read on the market’s adoption of machine data analytics tools. Participants were from businesses of all sizes, with 31 percent of respondents working for companies with 10,000 or more employees.