site Web Services in Action. MICHAEL WITTIG. ANDREAS WITTIG. MANNING. Shelter Island. Licensed to Thomas Snead . site Web Services is the biggest player in the cloud computing markets. According to Chapter 2 brings site Web Service into action. Here, you will to AWS in To download their free eBook in PDF, ePub, and Kindle formats. site Web Services in Action, Second Edition is a comprehensive introduction to computing, storing, and networking in the AWS cloud. You'll find clear.
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site Web Services in Action introduces you to computing, storing, and networking in the AWS cloud. You'll start with a broad overview of. I'll offer you distinctions of power in how to create lasting improvements in the quality of your Re-Awaken the Giant W Getting Everything You Can Out Of All. Written for developers and DevOps engineers who are moving traditionally- deployed distributed applications to the AWS platform. - site Web Services in .
Cloud computing is a model for enabling ubiquitous convenient on-demand network access to a shared pool of configurable computing resources e. Cloud computing services also have several classifications: The examples in this section will give you an idea of what you can do with AWS. His goal is to provide his custom- ers with a fast and reliable web shop. He decided to host the web shop on-premises and three years ago he rented servers in a data center. A web server handles requests from customers and a database stores product information and orders.
By splitting dynamic and static content John reduced the load for his web servers and improved performance by delivering the static content over a content delivery network CDN.
This frees him from managing these parts of the system decreases operational costs and improves quality. John split the capacity of the old on-premises server into multiple smaller virtual serv- ers at no extra cost. If one of these virtual servers fails the load balancer will send customer requests to the other virtual servers. Figure 1. John started a proof-of-concept project and found that his web application can be transferred to AWS and that services are available to help improve his setup.
How much food and drink do you need to download Calculating the right numbers for your shopping list is difficult: Solving the equation is a challenge because there are many unknown factors. Planning to meet future demands is nearly impossible. To prevent a supply gap you need to add extra capacity on top of the planned demand to prevent running short of resources. The same was true when we planned the capacity of our IT infrastructure. When procuring hardware for a data center we always had to download hardware based on the demands of the future.
There were many uncertainties when making these decisions: On AWS you can use services on demand.
Planning capacity is less and less impor- tant. Scaling from one server to thousands of servers is possible. Storage can grow from gigabytes to petabytes. You can scale on demand thus replacing capacity plan- ning.
The ability to scale on demand is called elasticity by AWS. Public cloud providers like AWS can offer needed capacity with a short waiting time. This allows you to address another problem: Think about the load on your infrastructure during the day versus at night on a week- day versus the weekend or before Christmas versus the rest of year. Auto-scaling is part of the EC2 service and helps you to scale the number of EC2 instances needed to fulfill the current load of your system. We introduced auto- scaling groups in chapter 11 to ensure that a single virtual server was running even if an outage of an entire data center occurred.
Servers can be decoupled synchronously with a load balancer or asynchronously with a queue. We introduced the concept of the stateless servers in part 3 of this book and explained how to use decoupling in chapter You need to launch uniform virtual servers when the number of requests grows and terminate virtual servers when the number of requests shrinks. To adapt to the current workload in an automated way you need to be able to launch and Examples are covered by the Free Tier The examples in this chapter are completely covered by the Free Tier.
Keep in mind that this only applies if you created a fresh AWS account for this book and nothing else is going on in your AWS account. The configuration and deployment of the blog- ging platform needs to be done during bootstrapping without human interaction.
I love to help people by sharing my knowledge and skills. Cloud Computing Models There are three main models for cloud computing. Each model represents a different part of the cloud-computing stack.
Infrastructure as a Service IaaS : Infrastructure as a Service, sometimes abbreviated as IaaS, contains the basic building blocks for cloud IT and typically provide access to networking features, computers virtual or on dedicated hardware , and data storage space. Infrastructure as a Service provides you with the highest level of flexibility and management control over your IT resources and is most similar to existing IT resources that many IT departments and developers are familiar with today.
Platform as a Service PaaS : Platforms as a service remove the need for organizations to manage the underlying infrastructure usually hardware and operating systems and allow you to focus on the deployment and management of your applications. Software as a Service SaaS : Software as a Service provides you with a completed product that is run and managed by the service provider.
In most cases, people referring to Software as a Service are referring to end-user applications.
With a SaaS offering you do not have to think about how the service is maintained or how the underlying infrastructure is managed; you only need to think about how you will use that particular piece software. A common example of a SaaS application is web- based email where you can send and receive email without having to manage feature additions to the email product or maintaining the servers and operating systems that the email program is running on.
Note: Listen All the Details carefully and proceed by entering code displayed on screen. Note the URL. Here after if you want to login, you have to enter credentials and MFA code to Login.
Save Private Key In this case, I have used server-computer1. You must specify a source AMI when you launch an instance. You can use different AMIs to launch instances when you need instances with different configurations. Click Close. Now your existing instance has static Public IP address, if you restart your instance also you will get same IP address until you detach from instance.
It provides cost-efficient, resizable capacity for an industry-standard relational database and manages common database administration tasks.
Choose appropriate usage of your instance. Note: If you select Free Tier. Selected version and options will overwritten free options. Create Replica in Different Zone.
Which means database will be replicated to another available zone for redundant data protection 3. Run below queries to create database and some tables on it.
Good Luck. You can use site S3 to store and retrieve any amount of data at any time, from anywhere on the web. You can accomplish these tasks using the AWS Management Console, which is a simple and intuitive web interface.
It will keep all the files as multiple versions Log Requests for access to your bucket option will log all the actions users did on this particular S3 bucket Object-level Logging used to monitor all the object level modifications. Additional cost. Encryption You can encrypt S3 bucket data or Encrypt and upload the data either way your data is encrypted. We have not only updated all previous findings we have also added three completely new chapters to the 2nd edition.
Therefore, using site S3, an object store is not possible by default. Using block storage might be an option, but does not allow you to access files from multiple machines in parallel. Hence you need a way to share the files between virtual machines. In this chapter, you learn how to set up EFS, tweak performance, and back your data. Caching data in memory: site ElastiCache In this chapter, you will learn how to manage and use ElastiCache to increase the read performance of your applications.
The read and write pressure to the database will be extremely high, especially when ranking scores across millions of players.
Mitigating that pressure by scaling the database may help with load, but not necessarily the latency or cost. Also, relational databases tend to be more expensive than caching data stores.
A proven solution used by many gaming companies is leveraging an in-memory data store such as Redis for both caching and ranking player and game metadata. The score value may consist of the actual player ranking or player score in the game.
All you have to do is to implement a function, upload your code, and configure the execution environment. Afterward, your code is executed within a fully-managed computing environment.
AWS Lambda is well-integrated with all parts of AWS, enabling you to easily automate operations tasks within your infrastructure. We use AWS to automate our infrastructure regularly. For example, we use it to add and remove instances to a container cluster based on a custom algorithm, and to process and analyze log files.