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

How to prevent performance bottlenecks in Google Compute Engine: CPU spikes, RAM waste, and network overload

Cloud computing is all about efficiency. You need to get the most out of your resources without overspending or causing performance issues. For example, if you’re running virtual machines in Google Compute Engine, you need to size your instances correctly, optimize your workloads, and monitor your network traffic to prevent unexpected failures. However, when resources aren’t properly managed, things can quickly spiral out of control.

Your guide to cloud modernization: from basics to best practices

Being in the cloud is table stakes in 2025, and simply lifting and shifting workloads to the cloud barely scratches the surface of what's possible. Yet many engineering teams find themselves managing glorified data centers in the cloud—missing out on key capabilities like auto-scaling, serverless computing, and cloud-native security features. Cloud modernization is the true game-changer for turning legacy systems into agile, scalable architectures.

16 Cloud migration risks and how to solve them

Cloud infrastructure powers everything from streaming services to enterprise databases, yet many organizations still run critical workloads on legacy systems. With the cloud migration market projected to reach $806.41 billion by 2029, growing at a CAGR of 28.24%, organizations of all sizes are racing to modernize their infrastructure and applications. This shift means companies need to stay competitive in a landscape where agility and scalability are non-negotiable.

A Guide To GCP Regions (And How They Affect Your Costs)

Google Cloud Platform (GCP) launched in April 2008 with Google App Engine. This developer-centric Platform as a Service (PaaS) offering allowed developers to build and host web applications on Google’s cloud infrastructure. Initially, App Engine only supported Python, but in 2009, Google added Java support, offering more programming flexibility. In 2010, GCP expanded further with Cloud Storage, its second major cloud product.

Optimizing Every Layer: From Cloud to On-Premises

As digital infrastructures become more complex, businesses need an agile, unified platform that spans traditional on-premises systems to modern cloud-native environments. At Virtana, our latest feature updates across Global View, Container Observability, and Infrastructure Observability are designed to empower you to optimize every layer of your IT ecosystem.

An aerial view of your Azure DevOps, GitHub Actions, and Jenkins pipeline landscape

Most engineering teams today have a multiplicity of tools to meet all of the different challenges they face. Some people characterize this as a problem and describe it as 'tool sprawl'. At SquaredUp, we just see it as a fact of life that no tool can excel at every job and engineers will want to choose the best tool for each task. Many companies have multiple toolchains spread across different teams and departments.
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Monitoring for operations of SAP S/4HANA Cloud, public edition

"Do I need to monitor SAP S/4HANA Cloud, public edition?" is the question many SAP customers are asking right now as projects are going live. As an SaaS product run by SAP, customers get access only through a public website, and SAP are responsible for the availability of that website and the hardware resources. The places where traditional monitoring focussed either aren't relevant, aren't visible, or superficially aren't the customer's problem anymore. Does that mean there is no need to monitor anything in SAP S/4HANA Cloud, public edition?

AI On A Budget: Low-Cost Strategies For Running AI In The Cloud

AI costs can spiral out of control before you know it. One day you’re building an AI feature that promises to bring in a solid chunk of revenue for the company. The next day you’re obsessing over an astronomically high cloud bill that will significantly eat into your profits — or consume them entirely. To help you solve this problem, we brought in Jeremy Daly, Director of Research (and AI cost management guru) at CloudZero.