A google cloud customer wants to load-balance traffic among the backend vms that form part of a multi-tier application. which load-balancing option should this customer choose?

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Managing Load By Cooper Bethea, Gráinne Sheerin, Jennifer Mace, and Ruth King with Gary Luo and Gary O’Connor No service is 100% available 100% of the time: clients can be inconsiderate, demand can grow fifty-fold, a service might crash in response to a traffic spike, or an anchor might pull up a transatlantic cable. There are people who depend upon your service, and as service owners, we care about our users. When faced with these chains of outage triggers, how can we make our infrastructure as adaptive and reliable as possible? This chapter describes Google’s approach to traffic management with the hope that you can use these best practices to improve the efficiency, reliability, and availability of your services. Over the years, we have discovered that there’s no single solution for equalizing and stabilizing network load. Instead, we use a combination of tools, technologies, and strategies that work in harmony to help keep our services reliable. Before we dive in to this chapter, we recommend reading the philosophies discussed in Chapters 19 ( Google Cloud Load Balancing These days, most companies don’t develop and maintain their own global load balancing solutions, instead opting to use load balancing services from a larger public cloud provider. We’ll discuss Google Cloud Load Balancer (GCLB) as a concrete example of large-scale load balancing, but nearly all of the best practices we describe also apply to other cloud providers’ load balancers. Google has spent the p...

This example scenario is applicable to any industry that needs to deploy resilient multitier applications built for high availability and disaster recovery. In this scenario, the application consists of three layers. • Web tier: The top layer including the user interface. This layer parses user interactions and passes the actions to next layer for processing. • Business tier: Processes the user interactions and makes logical decisions about the next steps. This layer connects the web tier and the data tier. • Data tier: Stores the application data. Either a database, object storage, or file storage is typically used. Common application scenarios include any mission-critical application running on Windows or Linux. This can be an off-the-shelf application such as SAP and SharePoint or a custom line-of-business application. Potential use cases Other relevant use cases include: • Deploying highly resilient applications such as SAP and SharePoint • Designing a business continuity and disaster recovery plan for line-of-business applications • Configure disaster recovery and perform related drills for compliance purposes Architecture Download a Workflow • Distribute the VMs in each tier across two availability zones in regions that support zones. In other regions, deploy the VMs in each tier within one availability set. • The database tier can be configured to use Always On availability groups. With this SQL Server configuration, one primary read/write replica within an availabi...

Q1. Which term describes a secure, individual, private cloud-computing model hosted within a public cloud? • Virtual private cloud (VPC) • Virtual private network (VPN) • Content delivery network (CDN) • Domain name system (DNS) Q2. Select the true statement about Google’s VPC networks and subnets. • Networks are global, and subnets are regional. • Both networks and subnets are global. • Networks are regional, and subnets are zonal. • Networks are global, and subnets are zonal. Q3. An application running in a Compute Engine virtual machine needs high-performance scratch space. Which type of storage meets this need? • Local SSD • Zonal persistent disk • Regional persistent disk • Cloud Storage bucket Q4. Preemptible VMs can offer advantages over a standard Compute Engine VM. What is a reason customers choose preemptible VMs? • To improve performance • To reduce cost • To use custom machine types • To reduce cost on premium operating systems Q5. Which statement best describes how VPC routers and firewalls work? • They are managed by Google as a built-in feature. • Customers provision virtual machines and run their routers and firewalls in them. • They are managed by Google in virtual machines and customers can tune or deactivate them. • They are managed by Google in virtual machines and customers cannot modify them. Q6. A Google Cloud customer wants to load-balance traffic among the backend VMs that form part of a multi-tier application. Which load-balancing option should th...

If you’re a person working in DevOps or on a software development team, you’ve probably heard the expression “ You build it, you run it ,” coined by Werner Vogels, the CTO of Amazon, in 2016. This attitude dominates the DevOps approach. Modern applications serve millions of requests from users across different geographical regions around the world. It’s a must that teams find an efficient way of distributing workloads across servers to maximize speed and capacity utilization. In this post, you’ll learn how load balancing works in the cloud, specifically on Google Cloud Platform, and which load balancers are available for your use. One of the main goals of load balancing in the cloud is to prevent servers from breaking down or getting overloaded. Load balancers can either be hardware-based or software-based. Hardware-based load balancers are physical hardware and are essentially dedicated systems (boxes) whose main purpose is to balance the flow of information between servers. Conversely, software-based load balancers run on standard operating systems and hardware (PCs, desktops). While hardware-based load balancers require rack-and-sack, proprietary appliances, the software-based balancers are installed on virtual machines and standard x86 servers. Hardware-based load balancers typically require you to provide enough load balancers to meet increasing network traffic demands. By implication, several load balancers will have to remain idle until there’s an increase in networ...