Sumo Logic

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How to Monitor Application Logs

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. Now, of course, the starting point for troubleshooting with cloud-based applications is much more likely to be an automatically-generated alert, or an indication on a monitoring dashboard that something isn't quite right.

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Ensure Cloud Security With These Key Metrics

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.

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Introducing Sensu

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.

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Introducing Sumo Logic Cloud SIEM powered by AWS

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.

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Distributed Tracing vs. Application Monitoring

Application monitoring is a well-established discipline that dates back decades and remains a pillar of software management strategies today. However, as software environments and architectures have evolved, monitoring techniques have needed to evolve along with them. That’s why many teams today rely on distributed tracing to glean insights that they can’t gather from application monitoring alone.