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The latest News and Information on Observabilty for complex systems and related technologies.

How to monitor Kafka and Confluent Cloud with Elastic Observability

The blog will take you through best practices to observe Kafka-based solutions implemented on Confluent Cloud with Elastic Observability. (To monitor Kafka brokers that are not in Confluent Cloud, I recommend checking out this blog.) We will instrument Kafka applications with Elastic APM, use the Confluent Cloud metrics endpoint to get data about brokers, and pull it all together with a unified Kafka and Confluent Cloud monitoring dashboard in Elastic Observability.

Quantum Entangled Observability

As the world of technology continues to evolve, the demand for cutting-edge solutions to monitor and optimize system performance has never been higher. Today, we’re excited to introduce a revolutionary new concept in observability: Quantum Entangled Observability (QEO). This ground-breaking method leverages the peculiar properties of quantum mechanics to provide unparalleled insights into your systems’ inner workings.

Cloud Migrations with Cribl.Cloud

Cribl’s suite of products help you gain the control and confidence you need to successfully migrate to the cloud. With routing, shaping, enriching, and search functionalities, data becomes more manageable and allows you to work more efficiently. By routing data from existing sources to multiple destinations, you can ensure data parity in your new cloud destinations, before turning off your on-premises (or legacy) analytics, monitoring, storage, or database products and tooling.

Lightrun's Product Updates - Q1 2023

During the past quarter, Lightrun has been busy at work producing a wealth of developer productivity tools and enhancements, aiming for greater troubleshooting of distributed workload applications and cost efficiency. Read more below the main new features as well as the key product enhancements that were released in Q1 of 2023!

Building a Distributed Security Team With Cjapi's James Curtis

Join Cribl's Ed Bailey and Cjapi's James Curtis as they discuss the challenges of building a distributed global security team. Talent is hard to find and companies are hiring all over the world to build the best teams possible, but this trend has a price. Traditional management processes do not work, from building culture to the basics around assigning, tracking and measuring work. Team leads and managers rarely have the experience and training to handle remote teams which can impact team effectiveness and thus weaken the enterprise security posture.

Best Practices for Effective Monitoring and Observability - Civo.com

In the first talk, "You're doing Observability wrong, breaking down the 3 pillars of observability," Matt Gibiec, Sr. Solutions Engineer at Dynatrace, will discuss the common misconceptions around observability and the importance of going beyond metrics, traces, and logs. He will break down the three pillars of observability and provide actionable insights into what is required to truly achieve observability in your systems.

Four Things That Make Coralogix Unique

SaaS Observability is a busy, competitive marketplace. Alas, it is also a very homogeneous industry. Vendors implement the features that have worked well for their competition, and genuine innovation is rare. At Coralogix, we have no shortage of innovation, so here are four features of Coralogix that nobody else in the observability world has.

Elastic Observability 8.7: Enhanced observability for synthetic monitoring, serverless functions, and Kubernetes

Elastic Observability 8.7 introduces new capabilities that drive efficiency into the management and use of synthetic monitoring and expand visibility into serverless applications and Kubernetes deployments. These new features allow customers to: Observability 8.7 is available now on Elastic Cloud — the only hosted Elasticsearch offering to include all of the new features in this latest release.

Comprehensive Kubernetes Observability with LogicMonitor's Kube-State-Metrics Integration

With the growing popularity of Kubernetes, the need for effective monitoring solutions has become crucial. LogicMonitor, a leading cloud-based monitoring and observability platform, has rolled out a new set of DataSources in its Kubernetes monitoring solution, LM Container, that uses data from the kube-state-metrics service to provide enhanced visibility into the state of Kubernetes objects.