Operations | Monitoring | ITSM | DevOps | Cloud

This technical whitepaper delves into the intricacies and benefits of advanced log file monitoring, showcasing its pivotal role in modern IT infrastructure management. We explore the fundamental principles of log file monitoring, discuss the challenges associated with traditional approaches, and highlight the advantages of adopting advanced techniques.

PromQL-based alerting policies and our command-line tool for importing dashboards from Grafana are now available in Cloud Monitoring.

IBM Qradar is a Security Incident and Event Manager (SIEM) trusted by many organizations to provide threat detection, threat hunting, and alerting capabilities. Qradar SIEM is often integrated with complementary IBM tools or enhanced with extensions to meet the needs of organizations that wish to mitigate their risks.

Unit testing is most often used for testing business logic. But what if you want to ensure that your code logs important messages to your log store? In this post, I'll introduce you to FakeLogger and how it can be used to test logging code when using Microsoft.Extensions.Logging and the ILogger interface. So, let's start by discussing why to even unit-test logging code. Adding good logging to your code is an often forgotten or down-prioritized practice.

Cribl Stream offers different ways to optimize data, such as: In this blog, I will focus on the Aggregation use case using the Aggregations function and how you can practically use the Aggregations function to format the output in different ways.

Reporting and analytics dashboards provide enhanced visibility into your data and the ability to view your most critical metrics via a single source of truth. By using dashboards, your team can easily highlight issues or areas of concern and promptly begin addressing them utilizing the real-time data that a dashboard provides. As well as this they can be utilized to drive data-driven decisions for your organization, enabling greater accuracy for decision-making to drive growth.

As the demands of our customers continue to rise, Splunk User Behavior Analytics (UBA) V5.3 now boasts an increased ingesting rate up to 160K EPS from Splunk Enterprise to a 20-node large deployment. This scalability improvement facilitates support for 750K user accounts, 1 million devices, and 64 data sources.

We are thrilled to announce that Observo.ai has successfully attained SOC 2 Type 2 certification, a testament to our unwavering commitment to data security and privacy.