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Sumo Logic Releases 11 New Google Cloud Platform Applications

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.

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Sumo Logic Releases 11 New Google Cloud Platform Applications

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.

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Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...

Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...

For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...

PostgreSQL promises greater flexibility, performance, and cost savings compared to proprietary alternatives. But successfully deploying it isn't always straightforward, and there are some hidden traps along the way that even seasoned IT leaders can stumble into. In this blog, I'll highlight five of the most common pitfalls with PostgreSQL deployment and offer guidance on how to avoid them, along with the best path forward ...

The rise of hybrid cloud environments, the explosion of IoT devices, the proliferation of remote work, and advanced cyber threats have created a monitoring challenge that traditional approaches simply cannot meet. IT teams find themselves drowning in a sea of data, struggling to identify critical threats amidst a deluge of alerts, and often reacting to incidents long after they've begun. This is where AI and ML are leveraged ...

Three practices, chaos testing, incident retrospectives, and AIOps-driven monitoring, are transforming platform teams from reactive responders into proactive builders of resilient, self-healing systems. The evolution is not just technical; it's cultural. The modern platform engineer isn't just maintaining infrastructure. They're product owners designing for reliability, observability, and continuous improvement ...

Getting applications into the hands of those who need them quickly and securely has long been the goal of a branch of IT often referred to as End User Computing (EUC). Over recent years, the way applications (and data) have been delivered to these "users" has changed noticeably. Organizations have many more choices available to them now, and there will be more to come ... But how did we get here? Where are we going? Is this all too complicated? ...

On November 18, a single database permission change inside Cloudflare set off a chain of failures that rippled across the Internet. Traffic stalled. Authentication broke. Workers KV returned waves of 5xx errors as systems fell in and out of sync. For nearly three hours, one of the most resilient networks on the planet struggled under the weight of a change no one expected to matter ... Cloudflare recovered quickly, but the deeper lesson reaches far beyond this incident ...

Chris Steffen and Ken Buckler from EMA discuss the Cloudflare outage and what availability means in the technology space ...

Every modern industry is confronting the same challenge: human reaction time is no longer fast enough for real-time decision environments. Across sectors, from financial services to manufacturing to cybersecurity and beyond, the stakes mirror those of autonomous vehicles — systems operating in complex, high-risk environments where milliseconds matter ...