Articles by Dan Roscigno

Customer Success Manager, Elastic

Dan Roscigno is a member of the Elastic Customer Success team focusing on ingestion, logging, and operations use cases. Dan has been in and around Ops for twenty years as a developer, solution architect, evangelist, and educator.


Upgrading the Elastic Stack: Planning for success

Upgrading is important because it gives you the latest performance improvements, new features, and bug / security fixes. Planning your upgrade is also important because your data is valuable. Learn how to make sure you do it right the first time.


Integrating JMS with Elasticsearch Service in Elastic Cloud using Logstash

JMS is an API used for publisher-subscriber systems. This blog contains 2 use cases: example IBM MQ configs, and the updates to the ELK (Logstash) input plugin.


Elasticsearch Observability: Embracing Prometheus and OpenMetrics Standards for Metrics


Infrastructure and Logs UI: New ways for Ops to interact with Elasticsearch

Introducing the new Logs UI and Infrastructure UI. It's never been easier to manage your environments with the Elastic Stack.


Monitoring Kubernetes and Docker Containers with Beats: Logs, Metrics, and Metadata

Monitor Docker and Kubernetes logs and metrics with the Elastic Stack. Ship container data with Beats, analyze it with Elasticsearch, and visualize in Kibana.


Get System Logs and Metrics into Elasticsearch with Beats System Modules

Elastic Beats System modules collect key operating system logs and metrics and present them visually so that you can work more efficiently.


Monitoring an application running in Docker containers and Kubernetes with the Elastic Stack

Containerized apps are dynamic, so is the Elastic Stack. Beats autodiscover and collect logs & metrics from the app, Docker, & Kubernetes and adjust to changes.