Logentries announced a new log analysis reporting service that offers Logentries customers a weekly roll-up of log-level metrics, data visualizations, and trending activity to enable quicker, more intelligent understanding of system activity.
The reports were developed by the Logentries Data Insights team to offer an extension to customer’s own data analytics efforts, without requiring the valuable time and resources of traditional log collection and analysis.
The overwhelming growth of machine data has made collecting, filtering, and analyzing distributed log data challenging for organizations of all sizes. Once Dev and IT Ops teams have centralized their log data from across servers and applications, it’s critical to be able to quickly dig into the data and highlight the most important events, system changes, anomalies and potential issues. The new Logentries Log Analysis reporting service does this automatically for customers, highlighting business-critical metrics such as most active and inactive logs; system usage breakdown by time of day, users, locations; and overall weekly trends. Logentries’ log-level visibility uniquely provides a much more fine-grained view of applications than traditional log management solutions, allowing customers to pinpoint issues and identify how specific processes might be causing unexpected changes, spikes, or problematic results within their application and server environments.
“Separating the signal from the noise is a big challenge when dealing with machine-generated log data today and often requires deep technical expertise,” said Trevor Parsons, Chief Scientist at Logentries. “The new Logentries reporting service is designed to provide log-level visibility into application activity, trends and potential issues and deliver these insights right into your inbox. We do the hard work for you.”
The Latest
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
Organizations continue to struggle to generate business value with AI. Despite increased investments in AI, only 34% of AI professionals feel fully equipped with the tools necessary to meet their organization's AI goals, according to The Unmet AI Needs Surveywas conducted by DataRobot ...