From the course: AWS Certified SysOps Administrator - Associate (SOA-C02) Cert Prep
AWS services overview - Amazon Web Services (AWS) Tutorial
From the course: AWS Certified SysOps Administrator - Associate (SOA-C02) Cert Prep
AWS services overview
- [Narrator] AWS offers a wide range of cloud services that you can utilize for various use cases, from compute, storage, database, analytics, networking, security, mobile apps, internet of things, machine learning, and many other categories. You can really do a lot of things in AWS. These services help startups and large enterprises to lower IT costs, scale globally, and innovate faster. You can use AWS to host your web applications, develop a mobile app, run real-time data analytics, store large amounts of data for backups, and many more. There are hundreds of AWS services, types, and features that you can choose from based on your workload. You might get overwhelmed with the sheer number of these fully featured services available in AWS, which is why in this section, I will give an overview of the AWS services per category. The name of some AWS services can clearly tell you what it does and what type of service it is. However, some names may not be that straightforward. As we cover the various services per category, take a moment and notice its naming convention. For example, the Amazon Elastic Compute Cloud is a type of a compute service. This is quite obvious because of its name, Elastic Compute Cloud. The same thing goes for Amazon Simple Storage Service. This is a type of a storage service as its name implies. What about Amazon Relational Database Service? Well, apparently it is a relational database service, as its title suggests. AWS can also call its services based on the name of the underlying open source technology that the service is using. You'll often hear the term managed or fully managed service in AWS. This term simply means that AWS manages all of the underlying servers which run that specific open source program. They are also responsible for maintaining, patching, and scaling the system so you can focus on building your application. For instance, the Amazon Elastic Kubernetes Service is a fully managed service that uses Kubernetes. As you may know, Kubernetes is an open source container system that is used for automating the deployment, scaling, and management of your containerized applications. The word Kubernetes in Amazon Elastic Kubernetes Service provides you a clue of what it is. Another example will be Amazon FSx for Lustre. The term lustre refers to the open source parallel file system called Lustre. Conversely, the Amazon Elasticsearch Service is based on Elasticsearch, which is also an open source technology. Elasticsearch is a search and analytics engine built on Apache Lucene. Once again, AWS is fully managing this open source services so you don't have to waste time setting up and maintaining your own servers. You are only responsible for configuring the service and managing your data. The name of a service or feature can help you decide which service you have to use for a particular requirement. But again, the names of other AWS services may not give you a direct hint of what it truly is. For example, Amazon Route 53 is a domain name service that routes traffic to your cloud architecture. Route 53 can route an incoming request and forward it to your Amazon EC2 instance or a custom origin. So what's the meaning of the number 53? Is it just there by chance or does it mean something? In computer networking, a domain name service typically sends responses over UDP using the Port 53. If a DNS message exceeds 512 bytes, it is sent over TCP using the same port number, 53. This is the reason why Amazon Route 53 is called that way. This section is composed of lessons about the different service categories in AWS. We'll cover the compute, container, database, network, storage, security, identity, monitoring, management, audit, and many other categories in the AWS Cloud platform. We'll also discuss the related AWS services for each category. Be advised that this is just a quick overview of all the relevant services in AWS. We'll not cover each of these items in detail. Our main goal here is for you to have an idea of what a particular service is all about. This will be quite helpful in your AWS exam preparation. So if you encounter the question that requires a certain container service, you'll be able to eliminate the wrong AWS options easily. If you see the keyword container, you'll immediately associate it with Amazon Elastic Container Service, or the Amazon Elastic Kubernetes Service, which are both container services. And if a question requires a compute service, you can easily eliminate options like the Amazon Simple Storage Service, or Amazon Route 53, because these are not types of computing services. The answer would most likely be Amazon Elastic Compute Cloud Service. Okay then, you got this. Let's get to it.
Contents
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AWS services overview5m 18s
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AWS compute services10m 44s
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AWS container services6m 4s
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AWS storage services17m 32s
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AWS database services11m 51s
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AWS deployment services14m 25s
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AWS monitoring services6m 6s
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AWS audit and compliance services3m 22s
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AWS networking and content delivery services13m 54s
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AWS application integration services10m 9s
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AWS security services12m 56s
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AWS management and governance services9m 50s
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AWS identity services4m 32s
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AWS machine learning services16m 41s
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AWS transfer and migration services9m 33s
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AWS analytics services22m 32s
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