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Latest Videos

A data lake on your cloud with Spark, Kubernetes and OpenStack

Data lake is a very large scale data processing paradigm that disrupts the conventional data warehousing model. Data lakes can offer greater flexibility whilst retaining the benefits and efficiency of centralised data governance. With Canonical OpenStack private cloud platform, Kubernetes and Charmed Spark solutions, your data lake architecture can also benefit from extended flexibility and scalability whilst remaining cost effective to operate.

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.

Deploying Llama 3 and vLLM with Civo Cloud GPU: A Live Demo with @getpieces

Join us for an exciting live demo as we explore how AI can transform your DevOps workflow using Pieces and Civo. In this comprehensive walkthrough, we'll dive into deploying an open-source large language model on Kubernetes, setting up GPU clusters, and leveraging AI to streamline development tasks.

Understanding Transit Gateway Costs

Phil Gervasi shows the importance of understanding traffic over AWS Transit Gateways for cloud cost management. He demonstrates how Kentik provides a visual layout of the entire AWS environment, including Transit Gateways, and allows users to dig into specific details and metrics. Phil also gives a quick look at Data Explorer, where users can observe Transit Gateway traffic over time, create and edit filters, and customize data visualization for sharing and exporting.