The latest News and Information on Cloud monitoring, security and related technologies.
Due to its highly scalable nature, monitoring cloud computing is different from monitoring on-premise servers. The cloud vendor may have tools you can use, but if they fall short of your monitoring requirements you need to seek alternative solutions. Discover the right monitoring tools for your situation.
One of the most common business requirements data handlers face is the numerous data privacy standards present as industry standards. Each industry has their own variation, each with their own specific requirements — but regardless of the standard or the applied dataset, compliance is extremely important.
Throughout this series we have been exploring how to use serverless architectures to our advantage. In this article I will show you: How to create a serverless slack command using Node.js & Up, Best Practices when developing serverless applications, A curated list of serverless resources.
In Part 2: Serverless Scales I briefly touched on how a serverless architecture can have a cost benefit. In this post, I will go over: How to approach and analyze the cost of serverless, Two detailed examples of a cost analysis.
In Part 1: What is Serverless? I talked about how one of the biggest pros to a serverless architecture is how well it scales and how high availability is baked in. In this post I’ll go over: How a traditional highly available scalable architecture works, How a scalable serverless architecture works, How you can benefit from a serverless architecture.
In this post we’ll answer the following questions: What is serverless architecture? (and what it’s not), What are the pros & cons of serverless?
One of the biggest challenges in a self-provisioned, public cloud environment like Amazon Web Services (AWS) is finding the right balance between resources, performance, and cost. With no initial visibility into usage stats, AWS customers tend to overprovision compute, storage, and database resources to cushion sudden spikes in demand. If users could see resource usage, they'd be able to determine if the numbers provisioned are really in line with the application workload.
