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Sumo Logic Adds New New Observability, Security and AI Features

Sumo Logic announced a number of new innovations and updates that help users accelerate troubleshooting and security across AWS environments, within a span of minutes and a few clicks.

Sumo Logic's new solutions and features purpose-built for AWS help users find the root cause of performance, availability, and security issues faster than ever including:

- Sumo Logic Log Analytics for AWS - this is a new packaged solution that delivers a curated view and a single pane of glass for monitoring and troubleshooting AWS services easily and effectively. The zero configuration solution automatically collects logs and metrics data from 12 core AWS services including EC2, Lambda, ECS, RDS, DynamoDB, API GW, and Load Balancers, in one single step. Users can now get full visibility across different AWS accounts and regions, and leverage ML-powered analytics to troubleshoot at lightning speed, with significantly lower time to value, as the solution can be deployed in minutes. In addition, organizations control costs by optimizing AWS-spend across the environment and help users better understand where they are at with application and infrastructure performance globally across AI-powered Global Intelligence benchmarks.

- CIS for AWS - Sumo Logic's new Cloud Infrastructure Security (CIS) for AWS provides an enterprise-wide, unified view of your AWS infrastructure that delivers insights into active threats, non-compliant security controls and suspicious activity across complex AWS environments - spanning multiple accounts, users, regions, and resource types. The solution delivers a curated workflow purpose-built for AWS. And an enterprise-wide unified view of your AWS infrastructure delivers insights into active threats, non-compliant security controls and suspicious activity across complex AWS environments spanning multiple accounts, users, regions and resource types.

- AI-Driven Alerting - This new feature enables users to harness the power of advanced anomaly detection, machine learning and intelligent playbooks, in order to reduce the noise of daily alerts and false alarms by highlighting the most critical issues that require immediate attention. The solution can also be used in conjunction with playbooks to automate incident resolution actions swiftly, such as server restarts and capacity provisioning.

- Global Intelligence for AWS CloudTrail DevOps - Sumo Logic’s AI-powered application is designed to help DevOps professionals deliver deep insights into AWS performance and configuration. In addition, users can leverage for quick issue detection and resolution, alongside machine learning models derived from extensive data gathered from Sumo Logic's AWS customer logs for troubleshooting.

- Global Intelligence for AWS CloudTrail SecOps - This application enables SecOps professionals to proactively detect potentially malicious configuration changes in your AWS account by using a machine learning model to compare AWS CloudTrail events against a cohort of AWS customers. These CloudTrail events are carefully curated from AWS penetration tests and operational best practices.

“Every organization across every industry is transforming, relying on digital and cloud to accelerate innovation, develop a competitive edge and help service their customers better. But these initiatives often lead to significant complexities for operations and security teams,” said Joe Kim, President and CEO, for Sumo Logic. “We believe logs are the fundamental source of truth that brings Dev, Sec, and Ops together, and we’re excited about these new innovations and updates we’re showcasing this week to further strengthen our cloud-native SaaS Log Analytics Platform to provide a single, unified view, that allows users to go from insights to action, fast.”

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Sumo Logic Adds New New Observability, Security and AI Features

Sumo Logic announced a number of new innovations and updates that help users accelerate troubleshooting and security across AWS environments, within a span of minutes and a few clicks.

Sumo Logic's new solutions and features purpose-built for AWS help users find the root cause of performance, availability, and security issues faster than ever including:

- Sumo Logic Log Analytics for AWS - this is a new packaged solution that delivers a curated view and a single pane of glass for monitoring and troubleshooting AWS services easily and effectively. The zero configuration solution automatically collects logs and metrics data from 12 core AWS services including EC2, Lambda, ECS, RDS, DynamoDB, API GW, and Load Balancers, in one single step. Users can now get full visibility across different AWS accounts and regions, and leverage ML-powered analytics to troubleshoot at lightning speed, with significantly lower time to value, as the solution can be deployed in minutes. In addition, organizations control costs by optimizing AWS-spend across the environment and help users better understand where they are at with application and infrastructure performance globally across AI-powered Global Intelligence benchmarks.

- CIS for AWS - Sumo Logic's new Cloud Infrastructure Security (CIS) for AWS provides an enterprise-wide, unified view of your AWS infrastructure that delivers insights into active threats, non-compliant security controls and suspicious activity across complex AWS environments - spanning multiple accounts, users, regions, and resource types. The solution delivers a curated workflow purpose-built for AWS. And an enterprise-wide unified view of your AWS infrastructure delivers insights into active threats, non-compliant security controls and suspicious activity across complex AWS environments spanning multiple accounts, users, regions and resource types.

- AI-Driven Alerting - This new feature enables users to harness the power of advanced anomaly detection, machine learning and intelligent playbooks, in order to reduce the noise of daily alerts and false alarms by highlighting the most critical issues that require immediate attention. The solution can also be used in conjunction with playbooks to automate incident resolution actions swiftly, such as server restarts and capacity provisioning.

- Global Intelligence for AWS CloudTrail DevOps - Sumo Logic’s AI-powered application is designed to help DevOps professionals deliver deep insights into AWS performance and configuration. In addition, users can leverage for quick issue detection and resolution, alongside machine learning models derived from extensive data gathered from Sumo Logic's AWS customer logs for troubleshooting.

- Global Intelligence for AWS CloudTrail SecOps - This application enables SecOps professionals to proactively detect potentially malicious configuration changes in your AWS account by using a machine learning model to compare AWS CloudTrail events against a cohort of AWS customers. These CloudTrail events are carefully curated from AWS penetration tests and operational best practices.

“Every organization across every industry is transforming, relying on digital and cloud to accelerate innovation, develop a competitive edge and help service their customers better. But these initiatives often lead to significant complexities for operations and security teams,” said Joe Kim, President and CEO, for Sumo Logic. “We believe logs are the fundamental source of truth that brings Dev, Sec, and Ops together, and we’re excited about these new innovations and updates we’re showcasing this week to further strengthen our cloud-native SaaS Log Analytics Platform to provide a single, unified view, that allows users to go from insights to action, fast.”

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...