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How to Monitor Redis Logs and Metrics

With a multitude of digital options available in almost every industry, it’s become increasingly critical that applications and services provide a positive user experience. Doing so requires a high level of availability, made possible (in part) by efficiently identifying and resolving issues with the system, when they occur. To achieve this, monitoring all critical components of an application and its infrastructure is a necessity.

Queryless vs. Query-less. Faster Insights and Better Observer Experience with Span Analytics

In one of my previous blogs I explained how important it is for a modern observability platform to provide “the observers” full, flexible access to all raw telemetry. Observability’s promise to find unknown unknowns relied directly on the ability of fast, powerful and multidimensional high-cardinality analysis of raw data, to uncover previously unknown patterns that have not yet been visualized as a metric, dashboard panel or an alert or anomaly event.

How to monitor Cassandra database clusters

Apache Cassandra is an open-source distributed NoSQL database management system that was released by Facebook almost 12 years ago. It’s designed to handle vast amounts of data, with high availability and no single point of failure. It is a wide-column store, meaning that it organizes related facts into columns. Columns are grouped into “column families.” The benefit is that you can manage data that just won’t fit on one computer.

Analyzing Office 365 GCC Data With Sumo Logic

Many of our customers today leverage Office 365 GCC High, including organizations looking to meet evolving requirements for working with the United States Department of Defense. Sumo Logic enables customers to leverage our out-of-the-box monitoring and analytics capabilities to analyze Office 365 GCC High data to offer security engineers and security analysts stronger situational awareness of internal employee data.

Optimize Value of Cloudtrail Logs With Infrequent Tier

A common scenario for log analytics is that many log events are high value for real time analytics, but there are also events that are low value for analytics, but account for a very large percentage of overall log volume. Often these same low value logs are used only for ad-hoc investigations from time to time or need to be retained for audit purposes.

Monitoring Apache Kafka Clusters with Sumo Logic

Apache Kafka® is one of the most popular streaming and messaging platforms, commonly used in a pub-sub (publish-subscribe) model, where consumer software applications send data via messages that producer software applications can consume. Teams use Kafka for a variety of use cases, including monitoring user activity, sending notifications, and concurrently processing streams of incoming data such as financial transactions.

Accelerate Hybrid Threat Protection Using Sumo Logic Cloud SIEM powered by AWS

It has been off to the races for the Sumo Logic and AWS teams since the general availability of the Sumo Logic Cloud SIEM powered by AWS solution on June 1, 2021. We are excited for the overwhelming response from customers from across all segments, industries and geographies.

Sumo Logic Named a Visionary in the 2021 Gartner Magic Quadrant for SIEM for the First Time

The Sumo Logic team is excited to announce that it has been named a Visionary in the Gartner 2021 Magic Quadrant for Security Information Event Management (SIEM). We believe our placement in the Visionary quadrant reflects the value and success our customers have realized by using our cloud-native security platform and the innovative ways in which it solves SIEM and modern security operations use cases.