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The OpenTelemetry Collector is a new, vendor-agnostic agent that can receive and send metrics and traces of many formats. It is a powerful tool in a cloud-native observability stack, especially when you have apps using multiple distributed tracing formats, like Zipkin and Jaeger; or, you want to send data to multiple backends like an in-house solution and a vendor. This article will walk you through configuring and deploying the OpenTelemetry Collector for such scenarios.

Data increasingly means “people,” down to the preferences of each consumer and voter. That’s why data is so valuable to political campaigns. With good data, you can predict things that haven’t happened yet.

“Kubernetes vs. Docker” is a phrase that you hear more and more these days as Kubernetes becomes ever more popular as a container orchestration solution.

The countdown is on to our 4th annual Illuminate user conference October 6-7, 2020! This year we are going virtual to keep everyone healthy and safe, and while we will miss seeing all of our customers and partners, we are excited to host the premier education platform for machine data analytics to help businesses accelerate digital transformation and customer experiences.

Persistence is effectively the ability of the attacker to maintain access to a compromised host through intermittent network access, system reboots, and (to a certain degree) remediation activities. The ability of an attacker to compromise a system or network and successfully carry out their objectives typically relies on their ability to maintain some sort of persistence on the target system/network.

Last week Sumo Logic announced our new Observability Suite, which included the public introduction of the closed beta for our distributed tracing capabilities as part of our Microservices Observability solution. This new solution will provide end-to-end visibility into user transactions across services, as well as seamless integration into performance metrics and logs to accelerate issue resolution and root-cause analysis. In this blog, we’ll explore the new solution in detail.

As more and more applications move to the cloud, the complexity of application architectures inevitably increases. It is a burden we willingly take on because the benefits—flexible deployment, technology diversity, independent scaling, and much more— tend to far outweigh the costs. But along this transition, most organizations face a dilemma, to divert resources to the necessary tooling for effective monitoring and troubleshooting of these systems – i.e. observability – or slow the rate of migration to the cloud.

Today, we made an important announcement that builds on and extends our category leadership in Continuous Intelligence. This blog is to put that announcement into context for our customers, partners and the broader industry.

Automation is a key component in the management of the entire software release lifecycle. While we know it is critical to the Continuous Integration/Continuous Delivery process, it is now becoming equally essential to the underlying infrastructure you depend on. As automation has increased, a new principle for managing infrastructure has emerged to prevent environment drift and ensure your infrastructure is consistently and reliably provisioned.