Sumo Logic Releases 11 New Google Cloud Platform Applications
July 24, 2018
Share this

Sumo Logic announced the release of 11 new Google Cloud Platform (GCP) applications as well as an integration with Google Cloud’s open source machine learning library, TensorFlow, to provide customers with flexible and scalable enterprise-grade cloud choices that deliver real-time business, operational and security insights into modern applications and infrastructure.

Sumo Logic is one of the first in the industry to release a comprehensive set of applications for GCP that enable real-time collection and analytics of machine data emitted by all major GCP services. Sumo Logic will also leverage TensorFlow machine learning libraries to augment existing machine learning analytics to enable customers to perform powerful analytics and apply advanced machine learning to data generated by their modern applications to improve operational, security and business outcomes.

“As today’s modern businesses continue to look for ways to differentiate themselves and deliver a seamless experience to their customers, the demand for secure, customizable solutions that support multiple cloud platforms is growing,” said Bruno Kurtic, founding VP of Product and Strategy, Sumo Logic. “The Sumo Logic platform is purpose-built to provide flexible and scalable enterprise-class support for all major cloud platforms — including AWS, Azure and GCP — to detect, troubleshoot and help rapidly investigate operational and security incidents to give users real-time actionable intelligence. This latest release further reinforces our longstanding commitment to deliver continuous intelligence for our customers’ businesses, regardless of where their modern applications and infrastructure data reside.”

The new GCP apps are now available via the Sumo Logic App Catalog, and include support for:

- Google App Engine Understand platform activity, incoming requests, applications, HTTP status codes, and latency and response times in your App Engine to get ahead of serious issues before they affect users.

- Google BigQuery: Proactively manage and troubleshoot your Google BigQuery data warehouse for deep operation insights, query optimization and enhanced user activity.

- Google Cloud Audit: Empower your audit and compliance needs by monitoring and tracking user, administrative and authentication activity for a real-time analysis of all audit streams across GCP.

- Google Cloud Functions: Leverage pre-configured dashboards and searches for deeper visibility into the overall usage, executions, operations, latency, errors, outliers and failures of your Google Cloud Functions environment.

- Google Cloud Identity & Access Management (IAM): Monitor Google Cloud IAM project activities, operations, role activities, role and policy changes, and IAM messages to analyze changes, share critical data and secure your environment.

- Google Cloud Load Balancing: Use pre-configured dashboards to monitor load balancing activity and get full insight into request locations and volume, response codes, and request and response data by load balancer.

- Google Cloud SQL: Easy-to-deploy pre-configured Sumo Logic dashboards provide insight into created and deleted resources, messages, authorization failures, user activities and error logs for all Google Cloud SQL activity.

- Google Cloud Storage: Continuously monitor and troubleshoot activity in Google Cloud Storage for insights into request locations, bucket and object operations, user activities, errors, and bucket statistics.

- Google Compute Engine: Monitor your infrastructure to visualize the activities, users, and message severity of your Google Compute Engine, the Infrastructure as a Service (IaaS) component of Google Cloud Platform.

- Google Kubernetes Engine: Gain node-level and pod-level monitoring information for deeper operational insights, container optimization, and security and compliance of your Kubernetes environment to better manage potential risks and threats.

- Google Virtual Private Cloud (VPC): Leverage interactive, customizable dashboards with outlier detection to trace unusual traffic patterns and suspicious activity for VPC flows and gain real-time insights and analytics into network activity for GCP-generated log data.

“The Sumo Logic platform integrates directly with GCP services to collect audit and operational data in real-time and provides operational and security monitoring tools used by a variety of enterprise customers,” said Vineet Bhan, Head of Security Partnerships, Google Cloud. “We look forward to continued collaboration with Sumo Logic.”

With expanded GCP support, Sumo Logic enables GCP customers to improve monitoring, detection and alerting on operational issues, accelerate troubleshooting and root cause analysis, help with compliance regulations such as PCI, HIPAA, SOX, GDPR, and deliver real-time, threat-aware security analytics that facilitate powerful security incident investigations for their applications and GCP infrastructure — all with the goal of improving operational and security visibility to deliver the ultimate customer experience.

The addition of Google Cloud’s open source TensorFlow libraries to Sumo Logic’s powerful machine learning engine enables customers to deploy more custom machine learning algorithms directly to their data. This allows customers to gain deeper insights from their machine data, a critical data set for companies focused on improving how they serve their customers, understanding user behavior and leveraging all data sets to differentiate from competition.

The GCP apps and TensorFlow integration are available now to Sumo Logic customers.

Share this

The Latest

May 20, 2019

In today's competitive landscape, businesses must have the ability and process in place to face new challenges and find ways to successfully tackle them in a proactive manner. For years, this has been placed on the shoulders of DevOps teams within IT departments. But, as automation takes over manual intervention to increase speed and efficiency, these teams are facing what we know as IT digitization. How has this changed the way companies function over the years, and what do we have to look forward to in the coming years? ...

May 16, 2019

Although the vast majority of IT organizations have implemented a broad variety of systems and tools to modernize, simplify and streamline data center operations, many are still burdened by inefficiencies, security risks and performance gaps in their IT infrastructure as well as the excessive time it takes to manage legacy infrastructure, according to the State of IT Transformation, a report from Datrium ...

May 15, 2019

When it comes to network visibility, there are a lot of discussions about packet broker technology and the various features these solutions provide to network architects and IT managers. Packet brokers allow organizations to aggregate the data required for a variety of monitoring solutions including network performance monitoring and diagnostic (NPMD) platforms and unified threat management (UTM) appliances. But, when it comes to ensuring these solutions provide the insights required by NetOps and security teams, IT can spend an exorbitant amount of time dealing with issues around adds, moves and changes. This can have a dramatic impact on budgets and tool availability. Why does this happen? ...

May 14, 2019

Data may be pouring into enterprises but IT professionals still find most of it stuck in siloed departments and weeks away from being able to drive any valued action. Coupled with the ongoing concerns over security responsiveness, IT teams have to push aside other important performance-oriented data in order to ensure security data, at least, gets prominent attention. A new survey by Ivanti shows the disconnect between enterprise departments struggling to improve operations like automation while being challenged with a siloed structure and a data onslaught ...

May 13, 2019

A subtle, deliberate shift has occurred within the software industry which, at present, only the most innovative organizations have seized upon for competitive advantage. Although primarily driven by Artificial Intelligence (AI), this transformation strikes at the core of the most pervasive IT resources including cloud computing and predictive analytics ...

May 09, 2019

When asked who is mandated with developing and delivering their organization's digital competencies, 51% of respondents say their IT departments have a leadership role. The critical question is whether IT departments are prepared to take on a leadership role in which collaborating with other functions and disseminating knowledge and digital performance data are requirements ...

May 08, 2019

The Economist Intelligence Unit just released a new study commissioned by Riverbed that explores nine digital competencies that help organizations improve their digital performance and, ultimately, achieve their objectives. Here's a brief summary of 7 key research findings you'll find covered in detail in the report ...

May 07, 2019

Today, the overall customer scenario has digitally transformed and practically there is no limitation to the ways in which the target customers can be reached. These opportunities are throwing multiple challenges for brands and enterprises, and one of the prominent ones is to ensure Omni Channel experience for customers ...

May 06, 2019

Most businesses (92 percent of respondents) see the potential value of data and 36 percent are already monetizing their data, according to the Global Data Protection Index from Dell EMC. While this acknowledgement is positive, however, most respondents are struggling to properly protect their data ...

May 02, 2019

IT practitioners are still in experimentation mode with artificial intelligence in many cases, and still have concerns about how credible the technology can be. A recent study from OpsRamp targeted these IT managers who have implemented AIOps, and among other data, reports on the primary concerns of this new approach to operations management ...