Logentries announced enhanced analytics for JavaScript Object Notation (JSON) structured log data with automated recognition and indexing of unlimited amounts of JSON fields.
By automating the identification of JSON structured log data, JSON events can be more quickly processed, monitored in real-time and interrogated using advanced analytics, without any additional configuration or set-up required.
Logentries’ intelligent search capabilities offer real-time analysis and correlation of the data, with automated visualizations and reporting. Unlimited JSON field support enables users to more easily extract the rich data stored in logs, and use that information across a variety of use cases, including application performance monitoring (APM), security, operations troubleshooting and application usage tracking.
JSON structured log data is a popular format of machine-generated logs because it is both easily consumed by machines and is also human-readable, i.e. it is generally accessible in a text-based format. JSON is widely used to capture key-value pairs, and can be used across different programming languages. Because of these characteristics, the JSON format provides ease of use and time-savings that is valued across IT and DevOps teams. Logentries’ enhanced support for JSON now makes it even easier to identify, index and analyze this type of data for further investigation.
With Logentries’ enhanced JSON support, users can:
- Automatically identify JSON formats with no additional configuration required.
- Automatically highlight JSON fields in your log events for easy search and analysis.
- Easily apply search functions such as SUM, AVERAGE, GROUPBY to perform powerful analysis on JSON structured log data.
- Build out-of-the-box dashboards using JSON structured logs.
“We see more and more organizations producing logs in JSON format and we consider this a best practice among our Community,” said Trevor Parsons, Chief Scientist at Logentries. “Logentries’ enhanced JSON support is making it even easier for our users to perform powerful analysis on their data without requiring them to learn more complex and difficult to use query languages, thereby making the power of machine generated log data accessible to virtually anyone.”
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.
The Latest
A vast majority (89%) of organizations have rapidly expanded their technology in the past few years and three quarters (76%) say it's brought with it increased "chaos" that they have to manage, according to Situation Report 2024: Managing Technology Chaos from Software AG ...
In 2024 the number one challenge facing IT teams is a lack of skilled workers, and many are turning to automation as an answer, according to IT Trends: 2024 Industry Report ...
Organizations are continuing to embrace multicloud environments and cloud-native architectures to enable rapid transformation and deliver secure innovation. However, despite the speed, scale, and agility enabled by these modern cloud ecosystems, organizations are struggling to manage the explosion of data they create, according to The state of observability 2024: Overcoming complexity through AI-driven analytics and automation strategies, a report from Dynatrace ...
Organizations recognize the value of observability, but only 10% of them are actually practicing full observability of their applications and infrastructure. This is among the key findings from the recently completed Logz.io 2024 Observability Pulse Survey and Report ...
Businesses must adopt a comprehensive Internet Performance Monitoring (IPM) strategy, says Enterprise Management Associates (EMA), a leading IT analyst research firm. This strategy is crucial to bridge the significant observability gap within today's complex IT infrastructures. The recommendation is particularly timely, given that 99% of enterprises are expanding their use of the Internet as a primary connectivity conduit while facing challenges due to the inefficiency of multiple, disjointed monitoring tools, according to Modern Enterprises Must Boost Observability with Internet Performance Monitoring, a new report from EMA and Catchpoint ...
Choosing the right approach is critical with cloud monitoring in hybrid environments. Otherwise, you may drive up costs with features you don’t need and risk diminishing the visibility of your on-premises IT ...
Consumers ranked the marketing strategies and missteps that most significantly impact brand trust, which 73% say is their biggest motivator to share first-party data, according to The Rules of the Marketing Game, a 2023 report from Pantheon ...
Digital experience monitoring is the practice of monitoring and analyzing the complete digital user journey of your applications, websites, APIs, and other digital services. It involves tracking the performance of your web application from the perspective of the end user, providing detailed insights on user experience, app performance, and customer satisfaction ...
Enterprises are experiencing a 13% year-over-year increase in customer-facing incidents, reflecting rising levels of complexity and risk as businesses drive operational transformation at scale, according to the 2024 State of Digital Operations study from PagerDuty ...
