A guide to cloud resource optimization and cost management. Cloud computing is built around key resources like compute instances, storage solutions, and networking services. An efficient cloud management approach strikes a balance between performance and cost-effectiveness of cloud services. Tomorrow, our subscribers will learn all about cloud resource optimization and cost management in our free weekly newsletter. Join us to get the issue: drp.li/luc-newsletter-z7lk

Edge computing vs Cloud computing — what's the difference? Give me 3 minutes and I'll tell you: In cloud computing, computation and data storage happen in a centralized location, with cloud service providers in charge of managing the computer resources. Edge computing is a distributed approach to data storage and task processing. By placing servers on the "edge" of the network or on the actual devices, it moves computing closer to where it is needed. Benefits of cloud computing over edge computing: 🔹 Resource pooling can be cost-effective. 🔹 Cloud service providers (CSPs) have a lot of resources available which makes scaling up or down simple. 🔹 CSPs manage all the infrastructure for you, whereas edge computing is often more complex and therefore more hands-on. 🔹 Cloud computing has been around for longer which means there are more providers and service models to choose from. Benefits of edge computing over cloud computing: 🔸 Latency and bandwidth usage is reduced by processing data locally and not in a centralized location. 🔸 Real-time data processing can be achieved. 🔸 Removing the need to send sensitive data over the network boosts security. 🔸 A distributed system reduces the likelihood of a single node failing and taking down the entire system. Edge computing and cloud computing are both great options, but which is best for you will depend on the requirements of your application.