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

December 03, 2024

We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...

December 02, 2024

From the accelerating adoption of artificial intelligence (AI) and generative AI (GenAI) to the ongoing challenges of cost optimization and security, these IT leaders are navigating a complex and rapidly evolving landscape. Here's what you should know about the top priorities shaping the year ahead ...

November 26, 2024

In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...

November 25, 2024

In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...

November 21, 2024

Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...

November 20, 2024

New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...

November 19, 2024

Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...

November 18, 2024

SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...

November 14, 2024

Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...

November 13, 2024

AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...