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The latest News and Information on Cloud monitoring, security and related technologies.

How to collect Google Cloud Run metrics

In Part 1 of this series, we looked at key Cloud Run metrics you can monitor to ensure the reliability and performance of your serverless containerized workloads. We’ll now explore how you can access those metrics within Cloud Run and Google’s dedicated observability tool, Cloud Monitoring. We’ll also look at several ways you can view and explore logs and traces in the Cloud Run UI and Google Cloud CLI.

Key metrics for monitoring Google Cloud Run

Google Cloud Run is a fully managed platform that enables you to deploy and scale container-based serverless workloads. Cloud Run is built on top of Knative, an open source platform that extends Kubernetes with serverless capabilities like dynamic auto-scaling, routing, and event-driven functions. By using Cloud Run, developers can simply write and package their code as container images and deploy to Cloud Run—all without worrying about managing or maintaining any underlying infrastructure.

Maximizing your reliability on AWS

Cloud providers like AWS excel at creating reliable platforms for developers to build on. But while the platforms may be rock-solid, this doesn’t guarantee your applications will be too. It’s the provider’s job to offer stable infrastructure, but you’re still on the hook for making your workloads resilient, recoverable, and fault-tolerant. There’s only one problem: cloud platforms are essentially black boxes.

Why Are More Companies Repatriating Workloads from the Cloud?

Over the past decade, many businesses of all sizes have embraced the cloud for its scalability and promise of cost savings. The cloud has been credited for helping companies innovate faster, expand globally, and offload infrastructure management to providers like AWS, Microsoft Azure, and Google Cloud. However, as cloud adoption matures, a noticeable shift is occurring.

Proactive Azure Cost Anomaly Detection

Getting hit with unexpected Azure bills that leaves you wondering what happened. What if you could spot those cost spikes proactively within in minutes before the damage is done? This video walks you through proactively detecting cost anomalies in Azure, helping you keep your budget in check and avoid surprises. Turbo360 shows you easy, actionable ways to track your Azure spending, find out what's eating up your resources, and stay on top of your cloud costs.

Cloud Repatriation: Examples, Unpacking 2025 Trends & Tips for Reverse Migration

If you moved to the cloud hoping for cost savings and scalability only to find that your cloud costs are ballooning, your cloud performance isn’t up to snuff, or you’re always struggling to align compliance regulations with your cloud deployment, it might be time to look into cloud repatriation as an alternative to public cloud infrastructure. Moving anything from public cloud to private cloud or on-prem infrastructure this year?

Unlocking the Full Potential of Cloud Automation for Your Business

Long gone are the days of manually configuring your cloud storage to meet customers' growing needs and demands. Now, businesses can enjoy a more flexible, stable, efficient, and secure means of storing data with various cloud architectures and storage methods. From S3 storage to cloud storage for teams, the tech world has never been so promising for companies to manage their data.

Mastering Infrastructure as Code with Terraform and AWS DevOps Consulting

Modern DevOps depends heavily on Infrastructure as Code (IaC), which lets companies control and provide their IT infrastructure using code instead of hand-written procedures. Because of its adaptability and fit with many cloud providers, including AWS, Terraform, an open-source IaC tool developed by HashiCorp, has become a favorite alternative for many. The basis of Terraform, how it interacts with AWS, and how AWS DevOps consultancy might enhance your IaC procedures are investigated in this article.