Understanding AWS Services Terminology — Part 2
As already discussed, AWS is a cloud computing service by Amazon. It is one of the most popular public cloud services in the market. In the previous post (AWS Services Terminology — Part 1), we talked about some of the basic and most used services of AWS.
In this post-part 2, we will cover few more AWS services which are very useful for developers and Cloud professionals.
- EC2 stands for Elastic Compute Cloud
- You can resize this computing based on your requirement. It is customisable and secure.
- It makes web-scale cloud computing easier for developers.
- It makes cloud computing more accessible as you will have complete control of your computing resources.
- EC2 allows you to collect and configure capacity with minimal friction.
2. AWS Glacier
- AWS Glacier is a low-cost cloud storage service. It is secure and durable cloud storage at the same time.
- You can have an access to archives, from a few minutes to several hours.
- As it is low-cost cloud storage, you might face slower access time. Reading data from S3 can take minutes or days.
- AWS Glacier can stores data for as little as $1 per terabyte, per month.
- It provides 3 options to access archives, from a few minutes to several hours.
3. AWS IAM (Identity Access Management)
- AWS IAM will provide secure access management to AWS services and resources.
- You can create groups using IAM. Furthermore, you can allow or deny those users or groups to access particular servers.
- IAM is offered at no additional charge, it is free.
- It does have 2 components: users and groups. Many users together create a group. Roles are temporary credentials and Policies will decide whether to allow or deny a connection.
4. Amazon Inspector
- Amazon Inspector is an automated security assessment service.
- It uses different tools and techniques to learn the vulnerability of a single machine, single application, or an entire system.
- It only examines EC2 instances.
- Amazon Inspector will automatically assess applications. After the assessment, it will produce a complete list of security findings.
- It will use methods like port scanning, dynamic security testing, source code analysis, and penetration tests.
5. KMS (Key Management Service)
- KMS or Key Management Service is a security tool.
- It uses 256-bit encryption for your data.
- KMS will protect your data from hackers and cyber attacks.
- Using AWS KMS, you can easily create and manage cryptographic keys and control their use across AWSÂ services and your application.
- AWS KMS is integrated with AWS CloudTrail.
- It is a completely secure service that uses hardware security models.
- AWS Kinesis will process a huge amount of data in real-time.
- It is easier to collect, process, and analyze real-time data with Kinesis.
- One of the key capabilities of Kinesis is a cost-effective process of the streaming data at any scale.
- You can also choose the tools perfect for the requirements of your application.
- Kinesis will collect, process, and store data from large streams like event logs. After processing the data, Kinesis will share it to multiple customers concurrently.
7. Amazon Lightsail
- It is an entry-level, easy-to-use AWS service.
- It offers everything you need to build an application or a website comes with a monthly plan.
- Amazon Lightsail will provide you access to a configurable VPS (Virtual Private Server) and also a pack of tools.
- It works best if you are new to cloud computing.
8. Amazon Mobile Analytics (Amazon Pinpoint)
- Amazon Mobile Analytics, now known as Amazon Pinpoint is a flexible and scalable marketing communication service.
- It provides outbound and inbound marketing communication services.
- Connecting to customers is possible via email, SMS, push, or voice.
- It is easy to configure and is completely flexible for all marketing communication situations.
- You can measure the success of communications with the help of delivery and campaign metrics.
9. Amazon Neptune
- Amazon Neptune is a graph database service used to build and run applications that work with highly connected datasets.
- It is a fast, fully-managed, and secure graph database service.
- Amazon Neptune has similar features like an enterprise SQL database. Some of those features include query planning tools, ACID transaction support, and cloning.
- It supports graph models like Property Graph, W3C’s RDF, and query languages like Apache TinkerPop Gremlin and SPARQL.
- Amazon Personalize will improve customer engagement and conversions with the use of the real-time personalized product and content recommendations.
- It uses the same technology used at Amazon.com to integrate personal recommendations on the website.
- So, basically you will be able to create private, personalized recommendations built from the customer data.
- No need to worry about safety as the data will be encrypted to be private and will only be used to create recommendations for the users.
PS: This post was originally published at: https://devopscurry.com/understanding-aws-services-terminology-part-2/