tl;dr: VMs and containers are two main options for running workloads in the cloud, each with its own advantages and trade-offs. Containers are more efficient, portable, and agile, while VMs provide higher isolation, security, and control. The choice between them depends on specific application requirements, development practices, and business goals. Google Cloud offers tools and … Read more
tl;dr: When running compute workloads in the cloud, there are several options to choose from, including virtual machines (VMs), containers, and serverless computing. Each option has its own strengths and limitations, and the choice depends on factors such as flexibility, compatibility, portability, efficiency, and cost. Google Cloud offers a comprehensive set of compute services and … Read more
tl;dr: Cloud computing involves several key concepts, including virtual machines (VMs), containerization, Kubernetes, microservices, serverless computing, preemptible VMs, autoscaling, and load balancing. Understanding these terms is essential for designing, deploying, and managing applications in the cloud effectively, and taking advantage of the benefits of cloud computing, such as scalability, flexibility, and cost-effectiveness. Key points: Virtual … Read more
I work with a client who operates a high-traffic Woocommerce website. Their current setup involves utilizing a SQL-based database system, and recently, there have been instances of noticeable performance slowdowns. After extensive troubleshooting, it became evident that the performance bottleneck was occurring at the database server level. The client had been utilizing Cloud SQL to … Read more