Operations | Monitoring | ITSM | DevOps | Cloud

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How to Reduce Metrics Costs with Grafana Cloud Adaptive Metrics | Grafana Labs

Grafana Cloud Adaptive Metrics has helped users save up to 70% on observability costs by automatically aggregating unused and partially used metrics. This video features a demo on Adaptive Metrics, where you’ll learn what we mean by “adaptive” — automating the process of recommending which metrics to drop while giving you the flexibility to determine any exemptions. This boils down to maintaining effective observability while reducing costs.

Introducing Cloud Provider Observability in Grafana Cloud | Demo | Grafana Labs

Learn how multi-cloud monitoring just got easier with Cloud Provider Observability in Grafana Cloud. In this video, you'll get glimpse at how the new app can enhance your observability strategy for all your major cloud providers. Plus you'll get a quick walk-through of the app.

Protect Your Alerts: Why Incident Alert Management Shouldn't Share a Cloud

When managing IT infrastructure, one crucial aspect is ensuring that your incident alert management system remains operational during critical failures or outages. Relying on a single cloud provider for both your primary services and incident management can create a significant vulnerability. If that cloud provider experiences an outage, your alert management system could become inaccessible precisely when it’s needed most, leading to delayed responses and extended downtime.

What Is Full-Stack Observability?

Monitoring used to be so easy. Servers had names and lived down the hall, or across the street. If things weren’t working, you could turn them on and off again. Database filling up? Just throw another hard drive in there. Too many simultaneous requests? Rack another server and install a cache. Fast forward a couple decades, and things have gotten much more complicated.

Supercharging Engineer Productivity with Real World AI

That’s the assessment of Senior DevOps Engineer and Logz.io user Armin Morattab when discussing the impact of AI on his day-to-day job. He dives deep on AI, observability, and strategies for improving workflows with Logz.io Co-founder Asaf Yigal in our webinar, AI in Observability: Real Engineers Talk Real Uses Cases.

AI-powered incident management copilots: A guide

All eyes are on generative AI. Enterprise IT teams are looking to Gen AI to translate the high volume of data from their services architecture into actionable insights. The goal: Improve operational efficiency and quality of work. But it’s challenging to sort through the hype (and confusion) to identify which vendors have GenAI capabilities that can provide true impact and value to their IT and service operations. One capability in particular is AI-powered copilots.

3 Key Strategies for End-to-End DevOps Automation

DevOps automation is essential for speeding up delivery, minimizing errors, and boosting team collaboration. But selecting the right approach can make or break your organization’s agility and scalability. Let's break down three key approaches—DIY with Infrastructure-as-Code (IaC), Platform-as-a-Service (PaaS), and DevOps Automation Platforms—so you can identify the best strategy for your needs.

Webinar Recap: Taking Web Performance to the Next Level

In the webinar, Taking Web Performance to the Next Level, experts from Catchpoint and Akamai discussed how businesses can optimize web performance to enhance user experience, protect revenue, and stay competitive. Hosted by Piril Kavlak, Director of Product Marketing at Catchpoint, the session showcased the recently announced incorporation of WebPageTest into Catchpoint’s Internet Performance Monitoring (IPM) platform, real-world success stories, and a preview of upcoming features.