Operations | Monitoring | ITSM | DevOps | Cloud

Enterprise IT teams are under growing pressure from complex, cross-functional workflows, rising alert noise, and overloaded ticket queues. Traditional ITSM automation, built on scripts, intents, and manual orchestration, can’t keep up. In this webinar replay, Resolve leaders break down how forward-thinking enterprises are scaling autonomous operations with agentic AI, delivering 2–5x faster resolutions and achieving 70%+ L1 deflection, without brittle scripts or intent models.

How does Defense.com scale its SaaS security platform while keeping costs predictable? CEO Oliver Pinson-Roxburgh explains why Civo’s FlexCore was the only choice. FlexCore is engineered to deliver massive scalability and high performance, as milliseconds matter for real-time threat analysis, while ensuring UK Data Sovereignty and Compliance (ISO 27001). Crucially, FlexCore offers predictable pricing, eliminating the sudden, massive bills of larger providers. FlexCore delivers on-prem performance with public cloud scaling and simplicity.

Three founders, one kitchen table, and a very honest end of year conversation. In this episode we look back on 2025, from moving continents and growing the company at pace, to ski trips that probably should not have happened, live demos that absolutely could have gone wrong, and the small moments that made the year memorable.

Want to make your logs easier to work with? Excluding unneeded logs from indexing reduces noise and may reduce log management costs. In this video, you’ll learn how to: See for yourself how to improve log utilization with Datadog Log Patterns and log exclusion filters. Then set up an alert to track ingestion spikes.

Everyone talks about how great Apache Iceberg is, but nobody warns you about this: without proper maintenance, your tables will bloat, queries will slow down, and your catalog will run out of memory. Here are the 4 critical operations you MUST run regularly. Expiring snapshots prevents metadata bloat (Datadog learned this the hard way with catalog memory pressure). Deleting orphan files cleans up failed writes. Compacting data files keeps streaming workloads fast. Compacting manifests optimizes query planning.