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Logging

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

Syslog 101: Everything You Need To Know

System logging protocol, abbreviated as Syslog, is a standard protocol used for message logging. Put simply, it is a standard for collecting and storing log information. A Syslog server collects, parses, stores, examines, and dispatches log messages from devices including routers, switches, firewalls, Linux/Unix hosts, and Windows machines.

Strategies for Lowering Observability Costs

Learn how to cut IT observability costs with OpenTelemetry. We'll cover ways to streamline data collection, reduce hidden expenses, and optimize data management. Discover practical tips for handling telemetry data efficiently, avoiding vendor lock-in, and improving system performance. Watch this video for actionable insights and real-world examples of using OpenTelemetry to manage costs effectively.

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.

The Best API Monitoring Tools

With the continual rise of website applications and cloud-based microservices effective API monitoring has become crucial. APIs outline the methods and data formats that applications can utilize to request and exchange information. They allow developers to access the functionality of a software component or service without needing to comprehend its internal workings.
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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.