SAN FRANCISCO--(BUSINESS WIRE)--Loggly, the maker of the world's most popular cloud-based, enterprise-class log management service, today announced Loggly 3.0, a unified log analysis and monitoring solution designed for companies building modern software applications running on private or public clouds and serverless architectures. Combining new metrics and monitoring capabilities with deep log analysis and one-click access to source code, Loggly 3.0 gives DevOps teams one-stop visibility to identify and solve problems, collaborate on fixes, and report to stakeholders.
“Loggly 3.0 charts give us a variety of ways to quickly visualize data, and its dashboards let us organize this data in the most useful ways for detecting and understanding the problems that arise in software and infrastructure,” said Ryan Jung, site reliability engineer at ClearCare. “This is the latest example of how Loggly continues to improve.”
“Our customers are facing exploding volumes of machine data generated by dynamic infrastructure, microservices, and devices, as well as the constant change of continuous delivery,” said Manoj Chaudhary, chief technology officer at Loggly. “Their monitoring toolkits have grown to address the data overload, sometimes creating even more complexity. This is what is driving convergence in the DevOps ecosystem between logs and monitoring. Loggly 3.0 offers a simple and comprehensive path to dealing with data and tool overload, and it builds up DevOps teams’ efficiency and collaboration.”
Loggly customers can now address three distinct needs with a single cloud-based service:
- Proactive monitoring for potential issues, anomalies, or suspicious activity across their code and infrastructure. New charts and dashboards reveal the full story and can be created in just a few clicks. In addition to the ability to display any log-resident or Amazon CloudWatch metric, Loggly will support metrics collection using the collectd daemon in the fourth quarter of 2017.
- Deep-dive investigations, discovering root causes by searching and filtering on individual log events. A new integration with GitHub connects insights from dashboards to logs to individual lines of source code, without any additional instrumentation. The GitHub integration initially supports Java, JavaScript, and Python.
- Data analysis and visualization to characterize software performance, answer key business questions, spot trends, report on KPIs, and track SLA compliance. Users can work in Loggly without support from a dedicated administrator.
The new GitHub integration builds on previous Loggly integrations designed to improve teamwork by incorporating data and analysis within the tools that software teams use every day, including New Relic, PagerDuty, Slack, Atlassian HipChat, and Atlassian Jira Software.
Summary Benefits
- Reduced complexity with one unified solution for monitoring, visualization, and log analysis.
- Improved service quality through proactive monitoring of metrics across the entire software stack, along with the deep analysis needed to know where to make improvements.
- Shorter mean time to resolution (MTTR) through rapid root cause analysis and tighter connections between metrics and relevant events.
- Better teamwork through common insights on shared dashboards, comprehensive reporting, and integration with the DevOps toolchain.
To learn more about how Loggly 3.0 can help your organization, visit https://www.loggly.com
About Loggly
Loggly is the world’s most popular unified monitoring and log analysis service, serving more than 10,000 customers including one-third of the Fortune 500. With DevOps teams buried in a sea of operational data, Loggly’s vision is to Reveal What MattersTM. With Loggly, application owners get real-time visibility across metrics and logs from any source. Our cloud-based service automatically structures and summarizes this data and connects it to the tools that teams use every day. Founded in 2009 and based in San Francisco, the company is backed by True Ventures, Matrix Partners, Cisco, Trinity Ventures, Harmony Partners, Data Collective Venture Capital, and others. Loggly is an AWS Advanced Technology Partner and a Docker Ecosystem Technology Partner. Visit us at www.loggly.com or follow @loggly on Twitter.
