November 25, 2019

273 words 2 mins read

Monitoring microservices: Docker, Mesos, and Kubernetes visibility at scale

Monitoring microservices: Docker, Mesos, and Kubernetes visibility at scale

Gianluca Borello explores the state of the art for visibility, monitoring, and troubleshooting for microservices and containersincluding live demonstrations of popular tools and methods and the pros and cons of eachwith special emphasis on sysdig, an open source system visibility tool.

Talk Title Monitoring microservices: Docker, Mesos, and Kubernetes visibility at scale
Speakers Gianluca Borello (Sysdig)
Conference Velocity
Conf Tag Build resilient systems at scale
Location Santa Clara, California
Date June 21-23, 2016
URL Talk Page
Slides Talk Slides
Video

This tutorial is for you because: You are a developer or system administrator who needs to use containers and microservices. Overview: Everyone knows that microservices and containers are revolutionizing the way we deploy applications and maintain our infrastructure. But as many teams are starting to find out, containers still have a key problem: monitoring and troubleshooting them can be impractical, painful, and sometimes plain impossible. And with the rise of microservice-based architectures and container orchestration tools such as Kubernetes and Mesos, managing an already difficult task has become even hairier. Gianluca Borello explores the state of the art for visibility, monitoring, and troubleshooting for microservices and containers—including live demonstrations of popular tools and methods and the pros and cons of each—with special emphasis on sysdig, an open source system visibility tool. Using real tools running in live environments, Gianluca explains how to effectively monitor, explore, and troubleshoot highly scaled Docker, Kubernetes, and Mesos deployments. You’ll leave knowing how to support and manage technologies like Docker, sysdig, Mesos, and Kubernetes and how to detect and visualize important activity in your container environment, as well as some considerations for managing a developer team deploying Docker.

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