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The latest News and Information on Log Management, Log Analytics and related technologies.

How to Integrate Serilog with Logit.io

Serilog offers users a streamlined logging framework for.NET applications and cloud services. The tool enables users to adjust logging levels, enrich log events with additional properties, and switch between different sinks without modifying the application code. The simplicity of Serilog, its support of structured logging, and compatibility with asynchronous applications and systems are a selection of the tool's features that have led to it being commonly used across a variety of organizations.
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How MDR Services Can Optimize Threat Intelligence

Managed Detection and Response (MDR) services play a critical role in cybersecurity. These technologies remotely monitor, detect, and respond to threats, blending threat intelligence with human expertise to hunt down and neutralize potential risks. However, one of the biggest challenges MDRs face is managing the sheer volume and variety of threat intelligence data they receive. This data comes from internal resources and the numerous security technologies their customers use, making it difficult to create a cohesive picture of the threat landscape.

How to Get Started with a Security Data Lake

Modern SecOps teams use Security Information and Event Management (SIEM) software to aggregate security logs, detect anomalies, hunt for threats, and enable rapid incident response. While SIEMs enable accurate, near real-time detection of threats, today's SIEM solutions were never designed to handle the volume of security data organizations generate daily. As daily log ingestion grows, so do the costs of data management.

Mastering Microservices Logging - Best Practices Guide

Microservices architectures have revolutionized software development, enabling scalability and flexibility. However, they also introduce complexities in system monitoring and troubleshooting. Effective logging is crucial for maintaining visibility and diagnosing issues in these distributed environments. This comprehensive guide explores best practices for microservices logging, helping you navigate the challenges and implement robust logging strategies.

Reduce SNMPv3 Trap Volume With Cribl Lookups

Despite new technologies and telemetry formats, like Model-driven Telemetry/Streaming Telemetry and OpenTelemetry, SNMP traps continue to be a significant source of events for monitoring teams. If you’ve been in IT operations, you’ve likely had a request to parse SNMP traps into a human-readable format so that they can be analyzed, probably deduplicated, and passed to a ticketing system for triage and remediation. The challenge? SNMP traps can be excessively chatty.

New GenAI Search Revamps Customer Experience

Splunk has launched a GenAI summary feature in splunk.com and docs.splunk.com search platforms designed to give users a quick and accurate glance of the most pertinent information they are looking for. This GenAI feature serves up a contextual high-level summary pulled from various relevant search results on topics ranging from Splunk product and feature usage to general Splunk terminology.

A Day in the Life of a Mezmo SRE

What keeps an SRE at the top of his game? I had an insightful conversation with Jon Duarte, a Site Reliability Engineer (SRE) at Mezmo and he walked me through his role and the various tasks he manages on a typical day. Here’s Jon offering a brief glimpse into the challenges he faces, the thought processes behind his approach, and the innovative solutions SREs come up with.

Cribl Closes $319M Series E Round at a $3.5B Valuation to Revolutionize Enterprise Data Management

I’m so excited to share that Cribl has closed a $319M Series E round! The oversubscribed round was led by GV (Google Ventures), joined by new investor CapitalG along with participation from existing investors GIC, IVP, and CRV. This round values Cribl at $3.5 billion, up 40% from our Series D round in 2022, and includes both primary and secondary.

The Best Elasticsearch Alternatives

Elasticsearch is a distributed search and analytics engine that provides real-time operations and scales Horizontally. This assists users in making quick and effective searches, as well as analyzing, and visualizing huge data volumes. Users commonly commend Elasticsearch for its data indexing and storage capabilities. They highlight its efficiency in indexing text data and its proficiency in managing large data sets for persistence and retrieval.