Operations | Monitoring | ITSM | DevOps | Cloud

In this episode, Leon explores a bunch of BYO (bring your own) enhancements to Cribl including the ability to bring your own AI model, storage, and more.

Government payment fraud is a fast-growing risk for public sector organisations in Australia and globally. From welfare and healthcare payments to business grants and disaster relief, increasingly sophisticated organised criminal networks and other actors exploit complex, high-volume government programs to unlawfully access public funds. The impact is significant—billions lost, program integrity undermined, and essential resources diverted.

Are companies blowing through their entire 2026 AI budget in a matter of months? Welcome to Episode 2 of Live Laugh Logs, the podcast from Annie, Lewis, and Andre from the Coralogix Developer Relations team, where we get together and recap everything going on in our worlds!

Understand what log management is and why it’s essential for troubleshooting, security, and observability across modern IT environments. Log management helps organizations collect, centralize, parse, and analyze logs from servers, applications, cloud platforms, containers, and network devices in one searchable platform. Learn how centralized log monitoring reduces mean time to resolution (MTTR), eliminates siloed troubleshooting, and helps IT teams detect anomalies faster using AI-powered analytics.

Your SIEM only holds a slice of your telemetry. Your data lake holds the rest. We'll show you how to use that to your advantage for investigations, threat hunting, and reporting. Why your data lake beats your SIEM for investigations – Your SIEM keeps a short window of expensive, filtered data. Your data lake keeps everything. When something goes wrong, that difference matters more than you think Threat hunting without the handcuffs – Hunting across months of data in a SIEM is painful and costly. We'll show you how a well-planned lake makes broad, deep searches practical and affordable.

Investigations are time-sensitive, and analysts shouldn’t waste time recreating the same workflows or rewriting familiar queries. Whether troubleshooting infrastructure, investigating suspicious IPs, or analyzing host activity, teams often rely on duplicating old processes and copying query snippets — a slow, inconsistent approach that’s hard to scale.