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

September 25, 2020

Michael Olson on the AI+ITOPS Podcast: "I really see AIOps as being a core requirement for observability because it ... applies intelligence to your telemetry data and your incident data ... to potentially predict problems before they happen."

September 24, 2020

Enterprise ITOM and ITSM teams have been welcoming of AIOps, believing that it has the potential to deliver great value to them as their IT environments become more distributed, hybrid and complex. Not so with DevOps teams. It's safe to say they've kept AIOps at arm's length, because they don't think it's relevant nor useful for what they do. Instead, to manage the software code they develop and deploy, they've focused on observability ...

September 23, 2020

The post-pandemic environment has resulted in a major shift on where SREs will be located, with nearly 50% of SREs believing they will be working remotely post COVID-19, as compared to only 19% prior to the pandemic, according to the 2020 SRE Survey Report from Catchpoint and the DevOps Institute ...

September 22, 2020

All application traffic travels across the network. While application performance management tools can offer insight into how critical applications are functioning, they do not provide visibility into the broader network environment. In order to optimize application performance, you need a few key capabilities. Let's explore three steps that can help NetOps teams better support the critical applications upon which your business depends ...

September 21, 2020

In Episode 8, Michael Olson, Director of Product Marketing at New Relic, joins the AI+ITOPS Podcast to discuss how AIOps provides real benefits to IT teams ...

September 18, 2020

Will Cappelli on the AI+ITOPS Podcast: "I'll predict that in 5 years time, APM as we know it will have been completely mutated into an observability plus dynamic analytics capability."

September 17, 2020
One of the benefits of doing the EMA Radar Report: AIOps- A Guide for Investing in Innovation was getting data from all 17 vendors on critical areas ranging from deployment and adoption challenges, to cost and pricing, to architectural and functionality insights across everything from heuristics, to automation, and data assimilation ...
September 16, 2020

When you consider that the average end-user interacts with at least 8 applications, then think about how important those applications are in the overall success of the business and how often the interface between the application and the hardware needs to be updated, it's a potential minefield for business operations. Any single update could explode in your face at any time ...

September 15, 2020

Despite the efforts in modernizing and building a robust infrastructure, IT teams routinely deal with the application, database, hardware, or software outages that can last from a few minutes to several days. These types of incidents can cause financial losses to businesses and damage its reputation ...

September 14, 2020

In Episode 7, Will Cappelli, Field CTO of Moogsoft and Former Gartner Research VP, joins the AI+ITOPS Podcast to discuss the future of APM, AIOps and Observability ...