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.