Sumo Logic, the leading cloud-native, machine data analytics service, today introduced the industry’s first machine data analytics platform to natively ingest, index and analyze structured metrics data and unstructured log data together in real-time. The platform unifies logs and metrics, transforming a variety of data types into real-time continuous intelligence for modern applications and business insights. In addition, Sumo Logic’s patented, advanced analytics technologies currently used for log data extends to time-series metrics to make correlating logs and metrics easy, instant, contextual and comprehensive. Now, Sumo Logic customers have instant access to the full analytics breadth for their modern applications – from code to end-user behaviors – to move with the speed and agility necessary to compete in today’s digital world.
“Sumo Logic set out to solve the pain of centralized log management by applying the power of distributed cloud computing, and became the machine data platform of choice for modern applications,” said Ramin Sayar, president and CEO for Sumo Logic. “Now we take another big step forward for our 1,000 plus customers and the industry by enriching the Sumo Logic service with an additional data dimension, which will result in an explosion of use cases that leverage machine learning.”
Sumo Logic’s platform breakthrough is the ability to handle the unique structure types of log and time-series metrics data natively – within the context of each data types’ unique form – to make log and metric analytics viewable in real-time via graphical, interactive dashboards. Log and metric data can be viewed side-by-side or contextually overlaid in an instant to speed up troubleshooting and enable digital businesses to optimize their modern applications for performance, availability, sustainability, security, customer satisfaction and new revenue-generating opportunities quickly and easily. And, all of these capabilities are available in a multi-tenant, cloud native service so customers are up and running fast with scalability and on demand elasticity, without the hassles of learning, managing, scaling and tuning on-premise analytics solutions or dealing with the rigidity of cloud-hosted analytics solutions.
Modern Applications Require Modern Tools – Cloud Native, Machine Learning
Businesses are moving to the digital world by using software as a primary driver for innovation and growth. Modern applications are front-and-center, driving this revolution. In fact, IDC expects over the next three to five years that the percentage of enterprises with advanced DX (digital transformation) strategies and implementations will more than double. However, the success of this transformation depends on businesses keeping their modern applications evolving at the fast pace of market shifts and customer needs. Thus, operations, development and security teams must expediently handle a number of key factors including the increasing complexity of IT architectures and environments; the exponential growth of the volume, velocity and variety of machine data; and the need to deploy application improvements and enhancements consistently and seamlessly, a process known as “Continuous Innovation.”
Sumo Logic has learned from its customers that disparate, siloed tools break down in this emerging modern application and data era. In addition, customers no longer want the impediment of context switching that occurs when related and required data sets live inside different tools. With Sumo Logic, context switching is obsolete because all machine data sources are now available in a single, scalable, graphical environment, shareable across all functions without losing the ability to control access to different data sets.
Introducing Sumo Logic with Unified Logs and Metrics Capability
Sumo Logic is the only cloud-native, machine data analytics platform that transforms log and metric data into real-time continuous intelligence for richer operational, business and customer insights. The Sumo Logic platform also extends its advanced analytics technology, powered by machine learning algorithms, to time-series metrics, beginning with infrastructure metrics and, more importantly, extending to custom application metrics needed to monitor and understand operational and business KPIs generated by the application itself as users interact with it. This enables Sumo Logic users to identify patterns, anomalies and threshold outliers quickly and efficiently to address issues that impact modern application performance, availability, security and customer satisfaction.
In addition, Sumo Logic’s multi-tenant, cloud-native architecture scales with the data demands of modern applications, seamlessly handling the volume and elasticity of machine data caused by usage spikes and seasonality, such as end of month activity spike, Super Bowl commercial spurred shopping sprees or unexpected events such as distributed denial of service attacks. Machine data is analyzed in real-time so customers do not have to wait for it to be indexed and stored to start receiving value. All machine data is securely collected and stored within Sumo Logic’s cloud-native environment, with the industry’s highest security attestations and certifications, including PCI DSS 3.0.
“Sumo Logic has proven to be absolutely essential to our organization because it provides us with the root cause analysis we need to see how our applications are behaving rather than having to analyze each platform manually, which is time consuming and inefficient,” said Dave Anderson, director of IT and security for Greenhouse. “As an early design partner, we’re excited to extend our use of Sumo Logic to time-series metrics, which will help us better correlate log and metric data into a single pane of glass for faster root cause analysis and facilitate better collaboration within our team.”
Although the big data market will be nearly $50B by 2019 according to analysts, what’s most exciting is that the disruptive power of machine learning and data analytics is only in its infancy. Machine analytics is one of the fastest growing areas of big data, and as digital transformation grows, so does the reliance on new software and architectures.
“For far too long, IT operations management (ITOM) has been a series of ‘big data’ challenges in terms of scale and complexity being managed with multiple, often isolated, and largely manual, ‘small data’ tactics and tools,” said Colin Fletcher, research director for Gartner. The report continues, “This rethinking of ITOM functions based on a platform that enables the real-time and historical analysis of data from any source, assisted by machines, represents both radical change in approach and opportunity.”
Key features and benefits of Sumo Logic enhanced platform include:
- Full stack visibility of the entire modern application stack using all machine data sources – Graphite, AWS Cloud Watch, Docker, Chef, Apache, MySQL and more.
- Business and Operational KPIs for Development, DevOps, TechOps, Security Ops and Lines of Business teams through custom and standard out-of-the-box metrics and logs.
- Monitoring and troubleshooting with correlation of logs and metrics – single pane of glass that overlays logs, metrics and other types of machine data for easy, one-click troubleshooting.
- Powerful real-time analytics through machine learning – outliers and anomaly detection of logs and metrics for faster root cause analysis.
Sumo Logic’s enhanced platform for unifying logs and metrics is available for early access and will be generally available this summer. Click here for more information about this breakthrough platform or register for a webinar, “Break the Silo: Transform Logs and Metrics into Real-time Insights” on May 4, 2016, at 10 a.m. PT to learn more and see the a live demonstration.