Sponsor: Sumo Logic

DevOps teams are challenged with monitoring, tracking and troubleshooting issues in a context where continuous integration servers and DevOps tools emit their own logging data. Machine data can come from numerous sources, and CD tools may not agree on a common method. Once log data has been acquired, assembling meaningful real-time metrics such as the condition of your host environment, the number of running containers, CPU usage, memory consumption and network performance can be challenging.

DevOps is a strategy for developing what is becoming a universally recognized process for managing continuous delivery, but it is not that process. In this eBook, thought leaders and practitioners weigh in on the culture, process and tools that lead to the deployment of quality software at high velocity.

Contents
1. DevOps is a Strategy
2. Change Management in a Change Dominated World
3. Do Containers Become the DevOps Pipeline?
4. Automated Testing in a DevOps World
5. Who Controls Docker Containers

Not long ago, IT Operations professionals analyzed log files-such as IIS logs, Apache Logs or Windows event logs-after application performance had already deteriorated or after the application was unavailable. In today's digital economy, application downtime directly impacts business; Moreover, modern applications are leveraging the cloud, allowing business to innovate at a rapid pace with limited risk. Continuous innovation creates continuous change. To adapt to these influences, IT Operations must change the way infrastructure and applications are managed and monitored. One of the key goals for IT Operations is to reduce Mean Time to Identify (MTTI) and Mean Time to Remediate (MTTR) from months, to a few hours. Given these new cloud-based applications and evolving architectures, this paper provides key insights into the changes that traditional IT operations should prepare for to improve IT ops analytics.

Get a step-by-step guide to monitoring and optimizing your distributed and hybrid applications. Discover how advanced analytics and machine learning can help you reduce downtime and improve user experience. Think beyond search and rules to uncover outliers and anomalies and start troubleshooting within minutes. Discover the 5 steps to better application performance now!