AWS cloud service is a service that fascinates Amazon sellers. It also has low prices, flexible configurations, and elastic services. While making corporate users worry-free and at ease, it also increases their own service needs. Today we will take a look at the Amazon cloud service platform and the services we commonly use.
1. AWS Fargate
As containers become more popular as a way to deploy applications, many people are already familiar with Amazon Elastic Container Service (ECS) and Amazon EKS, two container solutions from AWS based on Docker and Kubernetes. In fact, AWS said container deployments in its cloud grew 400 percent between 2016 and 2017.
However, fewer people are aware of Fargate, a separate container service AWS launched in November 2017 that abstracts some of the management responsibilities involved in deploying containers in the cloud. With Fargate, users no longer need to worry about the availability, capacity, and maintenance of the underlying infrastructure. "In short, Fargate is like EC2, but instead of providing users with a virtual machine, you provide a container," Amazon's website explains. "It is a technology that allows users to use containers as a basic computing primitive without having to manage the underlying instances."
2. AWS Lambda
Lambda has been around since 2014, and AWS has repeatedly touted the benefits of adopting serverless computing, but many enterprises have yet to start experimenting with this new cloud service.
Lambda is ideal for DevOps teams, allowing developers to upload their code without having to provision any configuration or manage instances. The service handles all of this behavior and scales automatically, billing organizations in 100-millisecond increments as their code executes.
3. AWS Snowball
Many organizations want to store or analyze their big data in the cloud, but transferring billions of dollars’ worth of information to the cloud over the public internet is often too time-consuming and impractical. Amazon's disruptive low-tech solution, launched in 2015, is Snowball. This is an independent storage device launched by AWS to which customers send data directly. After the customer obtains the Snowball device. Up to 50 TB of data can be uploaded to a Snowball device and then sent back to Amazon in the traditional way.
In November 2016, AWS followed up with two related products: Snowball Edge, which can handle up to 100TB of data and includes computing power, and Snowmobile, which can store up to 100PB of data in a container and transport it directly to AWS data centers.
4. Amazon Neptune
Currently available only to select customers, Neptune is an ultra-fast, fully managed graph database. Launched by Amazon in November 2017, it supports PropertyGraph and RDF models, as well as the Apache TinkerPop Gremlin and SPARQL query languages. It promises over 99.99% availability and is ACID compliant. Customers will need to register for the preview if they are doing a test run.
5. AWS Direct Connect
In many ways, traditional network capabilities cannot keep pace with the changes in today's distributed, multi-cloud environments. One way to improve bandwidth and performance is to use Amazon's Direct Connect feature to establish a dedicated connection between your data center and the AWS cloud platform. The service has been around for several years, but in order to use it, organizations had to be in close proximity to one of the Direct Connect locations. In 2017, AWS added a number of new locations to the service, including 10 locations that came online by December 2017.
6. AWS Cloud9
In 2016, Amazon acquired Cloud9, which provides a cloud-based integrated development environment (IDE) that allows developers to write code from a browser. In November 2017, Amazon added a host of new features and relaunched its Cloud9 service. Most notably, it integrates with other Amazon developer services, such as the CodeStar continuous delivery toolchain service.
It’s also worth noting that developers can use AWS Cloud9 for free. They can only be used for the EC2 compute and S3 storage required to store and run your code.
7. AWS X-Ray
AWS X-Ray was launched in April 2017. X-Ray is a service that helps DevOps teams troubleshoot application performance issues, especially in microservice applications. A microservices architecture has many benefits, but it can make debugging more difficult. X-Ray is particularly good at tracing requests when working with microservice applications, making it easier to identify and fix problem spots. Importantly, it can be used with other AWS services, including EC2, ECS, Lambda, ElasticBeanstalk, and it supports Java, Node.js, .NET.
8. AWS OpsWorks
Many DevOps teams use Chef or Puppet to automate configuration management. Many DevOps teams also rely on cloud computing services to develop, test, and deploy their applications. OpsWorks brings these two capabilities together, providing managed Chef and Puppet instances running in the Amazon cloud. Launched in 2016, it comes in three flavors: AWS OpsWorks for Chef Automation, AWS OpsWorks for Puppet Enterprise, and AWS OpsWorks Stacks.
9. AWS Trusted Advisor
As public cloud becomes more popular, some large enterprises have been struggling to manage and optimize their cloud usage. But cost control has become a big issue as cloud computing becomes widely used in many organizations. TrustedAdvisor is a feature of Amazon services that provides recommendations related to cost optimization, performance, security, fault tolerance, and service limits. The core checks and recommendations are available to any AWS customer; customers with a Business or Enterprise support plan have access to additional Trusted Advisor checks as well as notifications and access to the AWS Support API.
10. AWS Elemental Media Store
In November 2017, Amazon launched five multimedia services for media companies, all with brand names. Element MediaStore is storage optimized for video and live streaming. Other related services include Elemental Media Convert (file-based video transcoding), Elemental Media Live (broadcast-grade live video processing), Elemental Media Package (package video for Internet delivery), and Elemental Media Tailor (insert ads into video streams). Amazon said the purpose of launching these services is to put high-end video processing capabilities in the hands of small businesses without requiring them to make large upfront investments in hardware and software.
This is the end of the introduction to Amazon Cloud Service Platform. If you want to get more information about Amazon Cloud Service Platform, please pay attention and we will continue to answer your questions~
