Operations | Monitoring | ITSM | DevOps | Cloud

2024 has been a momentous year for ScienceLogic. In May, we launched our vision of Autonomic IT, which combines data, AI, and automation to create a fully autonomous state of IT operations. We followed that up in July with the introduction of Skylar AI, a suite of services that empower organizations to automate ITOps processes, reach AIOps maturity, and make more accurate and data-driven decisions. A lot of hard work went into the creation of these solutions.

I’m a big fan of tasting menus. In the culinary world they let us sample a variety of dishes in small portions, helping us understand and appreciate different flavors and options. Inspired by this concept and a talk I gave earlier this year, I have crafted a “tasting menu” of OpenTelemetry Collector configurations in Grafana Cloud.

In April, we published a Part I blog on the topic of how we planned to use our own Telemetry Pipelines product here at Mezmo to manage metrics data. Remember that utopia of observability we dreamed about? Well, we’re not quite there yet, but we’ve made progress.

Achieve better application performance with full-stack observability, gaining real-time insights to troubleshoot, optimize, and enhance user experience.

Learn how to use the Grok Debugger effectively for log parsing, with practical tips, debugging techniques, and pattern optimization.

Azure offers diverse cloud resources that empower businesses, but managing costs can be challenging without a clear view of expenses per resource. For organizations, understanding Azure costs per resource is essential to optimize spending, predict expenses, and make data-driven decisions. This blog will guide you through calculating and monitoring costs for individual Azure resources, using native tools like Azure Cost Management, and providing tips on reducing unnecessary expenses.