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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.

In this article we look at how to monitor Cassandra database clusters. We start with the basic architecture of a Cassandra cluster, and mention the most important metrics to gather. Next, we advance step-by-step into configuring and setting up a monitoring stack with Jolokia, Telegraf and Sumo Logic collectors and dashboards – everything you need to monitor Cassandra databases.

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.

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.

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.

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.

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.

In this article, we're going to focus on pillar number five: measuring everything. We'll discuss five key metrics for DevOps software pipelines and explain how each of them can help measure software delivery performance.

Security and IT teams may be loathe to admit it, but security has historically been mostly a reactive affair. Security engineers monitored for threats and responded when they detected one. They may have also taken steps to harden their systems against breaches, but they didn’t proactively fight the threats themselves.

Platform architects, SREs, developers and DevOps staff for mission-critical modern apps know being notified in real-time when or before critical conditions occur can make a massive difference in end-user digital experiences and in meeting a 99.99% availability objective.

Threat hunting is emerging as a must-have addition to cybersecurity strategies. By enabling organizations to find and mitigate threats before they ever touch their networks or systems, threat hunting provides the basis for a more proactive security posture – and one that delivers higher ROI on security tools and processes.

Companies generate data at an exponential rate, and the task of analyzing data to produce relevant security insights can be overwhelming. With evolving market dynamics and threat landscapes, security teams have a greater need for integrated and scalable monitoring that provides real-time and meaningful insights into the state of organizational security posture.

Organizations that want to do business with the Department of Defense are required to achieve CMMC compliance by the end of this year. Sumo Logic can serve as a tool to assist your organization in achieving CMMC compliance.

In the beginning, there was the Log – or to be a bit more precise, there were application logs. At least that's how it was in the early days of application development, when raw log data itself was more often than not the point where troubleshooting began.

Over the past decade, the way we build and deploy applications has changed dramatically. The explosion of public cloud providers enables us to deploy software without engaging in a drawn-out process to procure and set up infrastructure. Agile, DevOps, Continuous Integration, Continuous Deployment, and other changes to how we work have dramatically accelerated the speed with which we can get new applications and updates in front of our users.

Since 2010, it has been Sumo Logic’s mission to democratize machine data. Naturally, we tend to focus on the outcomes: reliable and secure applications and systems that are the engines of successful modern businesses. But to drive these outcomes, and before the spotlight-hogging analytics kick in, algorithms require data. And this is where the magic starts! Sensu has been working on championing a monitoring as code approach to building observability pipelines for a decade now.

The Sumo Logic team is pleased to introduce the general availability of Sumo Logic Cloud SIEM powered by AWS. This joint solution will empower CIOs, CISOs, security and IT leaders to solve modern and legacy security operations use cases for Enterprises of all sizes and maturity with deep and contextualized insights to reduce the time to detect and respond to threats.

I’m pleased to announce that Sumo Logic has finalized its acquisition of DFLabs S.p.A., a provider of security orchestration, automation and response (SOAR) software.