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Sumo Logic Unified Logs and Metrics Released

Sumo Logic announced the general availability of Unified Logs and Metrics (ULM), a machine data analytics platform to natively ingest, index and analyze metrics and log data together in real-time.

Powered by patented machine learning technology, ULM transforms structured and unstructured data into real-time continuous intelligence for today’s modern applications and business insights.

The early access program for ULM has seen broad customer demand from organizations who are the stewards for managing modern applications and want to better correlate log and metric data into a single pane of glass for faster root cause analysis and facilitate better collaboration across teams.

Key features include:

- Support for AWS, Infrastructure and Applications Metrics: ULM offers out of the box support for Host Metrics such as CPU, memory, disk usage and AWS CloudWatch metrics – from services like AWS Cloud Trail, Elastic Load Balancing, Amazon Kinesis, AWS Config, VPC Flow Logs and Amazon Simple Storage Service (S3).

- Powerful Real-Time Analytics for Troubleshooting: Through machine learning, ULM enables advanced analytics of logs data and metrics data for contextual troubleshooting and quicker root cause analysis of issues.

- View Logs and Metrics in a Unified Dashboard: ULM enables users to view, filter and report logs and metrics in one dashboard to reduce “swivel chair” management and lower mean time to identify and resolve issues.

- Seamless Onboarding: Simple, easy set up and out-of-the-box analytics, as well as complete integration with Sumo Logic Free and Sumo Logic Trial web workflows.

“Cloud-native machine learning systems are transforming the way digital businesses operate,” said Kalyan Ramanathan, VP of Product Marketing for Sumo Logic. “Sumo Logic scales with the demands of modern applications and can easily handle the volume of machine data caused by spikes and bursts experienced on a day-to-day basis. With the general availability of Unified Logs and Metrics, customers are better equipped to take advantage of disruptive trends, such as public cloud adoption, DevOps, security forensics and machine data analytics.”

Sumo Logic’s ULM platform is available for Professional and Enterprise customers.

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Sumo Logic Unified Logs and Metrics Released

Sumo Logic announced the general availability of Unified Logs and Metrics (ULM), a machine data analytics platform to natively ingest, index and analyze metrics and log data together in real-time.

Powered by patented machine learning technology, ULM transforms structured and unstructured data into real-time continuous intelligence for today’s modern applications and business insights.

The early access program for ULM has seen broad customer demand from organizations who are the stewards for managing modern applications and want to better correlate log and metric data into a single pane of glass for faster root cause analysis and facilitate better collaboration across teams.

Key features include:

- Support for AWS, Infrastructure and Applications Metrics: ULM offers out of the box support for Host Metrics such as CPU, memory, disk usage and AWS CloudWatch metrics – from services like AWS Cloud Trail, Elastic Load Balancing, Amazon Kinesis, AWS Config, VPC Flow Logs and Amazon Simple Storage Service (S3).

- Powerful Real-Time Analytics for Troubleshooting: Through machine learning, ULM enables advanced analytics of logs data and metrics data for contextual troubleshooting and quicker root cause analysis of issues.

- View Logs and Metrics in a Unified Dashboard: ULM enables users to view, filter and report logs and metrics in one dashboard to reduce “swivel chair” management and lower mean time to identify and resolve issues.

- Seamless Onboarding: Simple, easy set up and out-of-the-box analytics, as well as complete integration with Sumo Logic Free and Sumo Logic Trial web workflows.

“Cloud-native machine learning systems are transforming the way digital businesses operate,” said Kalyan Ramanathan, VP of Product Marketing for Sumo Logic. “Sumo Logic scales with the demands of modern applications and can easily handle the volume of machine data caused by spikes and bursts experienced on a day-to-day basis. With the general availability of Unified Logs and Metrics, customers are better equipped to take advantage of disruptive trends, such as public cloud adoption, DevOps, security forensics and machine data analytics.”

Sumo Logic’s ULM platform is available for Professional and Enterprise customers.

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77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

In MEAN TIME TO INSIGHT Episode 25, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses  AI's impact on the Wide Area Network (WAN) ... 

Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...