BOSTON, Nov. 12, 2014 /PRNewswire/ -- Logentries, the leading log management and analytics service built for the cloud, today unveiled a new online forum for its global IT Operations and Development Community to access and share Logentries Community Packs. Community Packs relieve the burden of traditional log analytics and reporting and are free for registered Logentries users.
"Using the Logentries Community Pack for server monitoring, our DevOps team was able to get immediate insight into our CPU over time, disk space and memory usage over multiple machines, correlated with our system log data," said Barry Paul, CTO, Qstream. "The best part is that we didn't have to build anything. The dashboards and alerts were immediately available to us, and we can modify them as needed to make sure we are getting the most useful view into our logs and server statistics."
Using collective data from Logentries' 35,000+ global users, the new Community Packs offer "plug-and-play" insight for the most common log management and analytics activities. Logentries Community Packs provide the out-of-the-box tools that users need to extract key information from increasing volumes of log data so they can easily differentiate important events from the noise without building out the analytical components from scratch. The first Community Packs focus on the most popular use cases including, AWS CloudTrail, AWS CloudWatch, Server Monitoring, Windows Security Events, Heroku, Nginx, Microsoft IIS, Apache, Ruby on Rails, and Salesforce.com.
As the universal data source across the entire software stack, log events can be used to monitor and analyze all layers of a distributed IT system – from the servers, to the applications, to the end user experience. With Logentries Community Packs for Ops and Development, users can:
- Import a Pack in minutes and get immediate access to automated queries with real-time tags, alerts, and data visualization dashboards built out for them.
- Easily modify the open JSON format to customize a Community Pack for specific user requirements.
- Republish the modified Packs into the Logentries Community to share learnings with other users managing similar applications and environments.
"Logentries' advanced machine-learning technology, in combination with our shareable Community resources, are empowering our users to be smarter and quicker in getting the answers they need from their data," said Trevor Parsons, Co-founder and Chief Scientist at Logentries. "Log data is extremely powerful, but it can also be quite vast. By working within a Community, our users can now take advantage of the collective experience and knowledge of the masses to help identify the key events that are relevant for their systems and use cases. You don't have time to be an expert in everything, and you shouldn't have to be."
The cloud-based Logentries service collects and pre-processes log events in real-time for on-demand analysis, alerting and visualization. With custom tagging and filtering, users can correlate security and performance issues with broader infrastructure activity including application usage, server metrics and user behavior. To get started with a free, all-inclusive 30-day trial of the Logentries service or to download the free Community Packs, visit http://logentries.com.
Logentries is the leading log management and analytics service built for the cloud, making business insights from machine-generated log data easily accessible to development, IT and business operations teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 35,000 worldwide users. While traditional log management and analytics solutions require advanced technical skills to use, and are costly to set-up, Logentries provides an alternative designed for managing huge amounts of data, visualizing insights that matter, and sharing that information across its global user community. To sign up for the free Logentries service, visit www.logentries.com.