AWS Tutorials - 16 - AWS EC2 Instance Type | Instance Type in AWS ( in Hindi )

Gaurav Sharma

27 Oct 202214:40

Summary

TLDRIn this video, Gaurav explains the different types of EC2 instances available on AWS, focusing on the key characteristics of each instance type. He discusses T2 Micro, which is part of the T-family, and compares other instance types like general-purpose, compute-optimized, memory-optimized, and storage-optimized instances. He emphasizes that choosing the right instance depends on the application's requirements, such as memory, CPU, or storage needs. Gaurav also advises performing load testing after selecting an instance type to ensure it can handle the expected user traffic efficiently.

Takeaways

🔑 Instance types come in many forms, and each serves different purposes based on use case scenarios.
🖥️ The T2 micro instance is highlighted as an example, with details on how 'T' represents the instance class, '2' denotes generation, and 'micro' refers to the size.
📈 There are 559 different instance types available, and this number is constantly increasing.
⚖️ It’s important to balance CPU, memory, and network requirements when selecting a general-purpose instance.
💻 Use compute-optimized instances for scenarios involving high-performance computing like machine learning, gaming servers, or media processing.
🧠 Memory-optimized instances should be selected when dealing with applications requiring large amounts of in-memory data processing, such as in-memory databases.
🎮 Accelerated computing instances, including GPU-based options, are ideal for tasks related to machine learning training or high-performance graphics processing.
📊 Storage-optimized instances are best used for scenarios with heavy data read/write needs, such as data warehousing or distributed file systems.
📡 The importance of load testing after selecting an instance type to ensure that it can handle the expected concurrent user load is emphasized.
✅ It's crucial to evaluate specific instance types based on the use case and not rely solely on theoretical specifications.

Q & A

What are the different types of instance types available when launching an instance?
-There are 559 different instance types available, which are constantly increasing. The key instance types include general purpose, compute-optimized, memory-optimized, accelerated computing, and storage-optimized.
What does 'T2 Micro' represent in the instance types?
-'T' represents the class of the instance, '2' represents the generation, and 'Micro' refers to the size of the instance. As new generations are released, the number will increase, such as T3, T4, etc.
How do the instance sizes vary, and what are some examples?
-Instance sizes vary from smallest to largest, starting with Nano, followed by Micro, Small, Medium, Large, X-Large, and 2X-Large. These sizes depend on the resources like CPU and memory.
How should you choose the right instance type for your application?
-Choosing the right instance type depends on your application’s requirements. For example, general-purpose instances are suitable when the workload has a balance between memory, CPU, and networking. Compute-optimized instances are ideal for tasks requiring high CPU performance, like media processing or machine learning.
What is the significance of memory-optimized instances?
-Memory-optimized instances are used when an application requires a large amount of memory, such as in-memory databases, caching, or high-memory operations. They are ideal for workloads that involve heavy memory usage.
When should you use compute-optimized instances?
-Compute-optimized instances should be used when you need high CPU performance, such as for running media processing tasks, generating a large number of PDFs, or operating high-performance web servers.
What are accelerated computing instances used for?
-Accelerated computing instances are primarily used for graphics-intensive applications or tasks requiring GPU processing, such as machine learning, 3D rendering, or simulations.
When should storage-optimized instances be used?
-Storage-optimized instances should be used when an application requires high disk throughput and fast data retrieval or storage, such as in distributed file systems, databases, or data warehousing applications.
What is the importance of load testing after selecting an instance type?
-It is crucial to perform load testing after selecting an instance type to ensure that the server can handle the expected number of concurrent users. Various tools are available in the market to carry out load testing.
What is a general-purpose instance, and when should it be used?
-A general-purpose instance balances CPU, memory, and networking resources. It should be used when the application’s resource requirements are balanced and do not heavily focus on any single resource like CPU or memory.

Outlines

00:00

🖥️ Overview of EC2 Instance Types and their Functionality

This paragraph explains how various EC2 instance types are available when creating an instance on AWS. It mentions the T2 Micro instance type as an example and compares it with others, noting that there are 559 types in total, though the count may change. The focus is on understanding the functionality of these instances rather than memorizing their numbers. The paragraph emphasizes the need to know when to use each instance based on its characteristics and application requirements, rather than for exam purposes.

05:00

⚙️ General-Purpose and Compute Optimized Instances Explained

This section discusses the general-purpose and compute-optimized instance types on AWS. It describes when to use general-purpose instances, which balance memory, CPU, and networking. The T2 Micro instance, part of the general-purpose family, is highlighted as the default choice for basic applications. Compute-optimized instances are recommended for media processing, PDF generation, machine learning, and gaming applications where high performance is needed. The paragraph touches on different generations of compute-optimized instances and their suitability for specific tasks requiring high CPU processing.

10:01

📊 Memory Optimized Instances and Their Use Cases

This paragraph explains memory-optimized instances, which are useful when an application requires more memory than processing power. An example is provided involving in-memory databases like Redis, which stores data in RAM for fast retrieval. The discussion compares how memory-optimized instances can significantly improve the performance of applications handling large datasets, such as Facebook, which uses in-memory data stores to provide instant login services for millions of users. The section also distinguishes between primary memory (RAM) and secondary memory (e.g., hard drives) and emphasizes the importance of memory for specific use cases.

🎮 Accelerated Computing and GPU-Based Instances

This section covers accelerated computing instances, specifically those involving GPU processing, which are ideal for tasks like machine learning training and high-performance computing. It highlights the importance of using GPU-based instances for graphically intensive applications or large-scale data processing, such as machine learning models. The paragraph advises selecting these instances based on the complexity of the task rather than for simpler use cases like basic calculations.

💾 Storage Optimized Instances for High-Performance Data Handling

The paragraph explains storage-optimized instances, which are designed for high-speed data storage and retrieval tasks, such as managing large datasets or databases. It suggests using these instances for applications that require frequent reading and writing of large amounts of data, like data warehousing or distributed file systems. The author stresses the need to consider storage-optimized instances for scenarios involving heavy data transactions.

🔧 Performance Testing and Application Load Considerations

This section discusses the importance of load testing after selecting an EC2 instance type. It recommends running load tests to ensure that the instance can handle the number of concurrent users or processes required by the application. Several tools available in the market are mentioned for conducting these tests. The paragraph highlights the iterative process of selecting the appropriate instance type based on CPU, memory, and application load requirements and stresses the need for thorough performance evaluation in real-world scenarios.

Mindmap

Keywords

💡Security Group

A Security Group is a virtual firewall in cloud computing that controls inbound and outbound traffic to and from resources like EC2 instances. In the video, the speaker mentions discussing Security Groups in the previous video, which highlights its importance in controlling access to cloud-based resources and securing the environment.

💡Instance Types

Instance Types refer to the various categories of virtual machines (VMs) available for deployment in cloud platforms like AWS. Each instance type has different specifications in terms of CPU, memory, storage, and network performance. In the video, the speaker talks about the multiple instance types available, comparing and explaining their uses in different scenarios.

💡T2 Micro

T2 Micro is an example of a general-purpose instance type in AWS, often used for low-demand workloads due to its modest CPU and memory capabilities. The speaker uses T2 Micro as an example of a common, entry-level instance type in cloud computing, emphasizing its use for learning purposes or lightweight applications.

💡Generation

Generation in this context refers to the different versions of cloud instance families, such as T2, T3, T4, etc., where each successive generation offers better performance or features. The speaker discusses how instance generations evolve over time, such as T3 and T4 succeeding T2, and how users should focus on the functionality of the instance rather than remembering specific numbers.

💡General Purpose Instances

General Purpose Instances are balanced instance types in terms of CPU, memory, and network resources, suitable for a wide range of workloads. In the video, the speaker explains that these instances are ideal when users need a balance between different resources and are typically used for applications like mobile development.

💡Compute Optimized Instances

Compute Optimized Instances are designed for compute-intensive tasks that require high CPU performance. The video highlights the use of these instances for workloads like media processing, gaming servers, or machine learning, where high processing power is essential.

💡Memory Optimized Instances

Memory Optimized Instances are designed for workloads that require high memory capacity, such as large in-memory databases or high-performance computing. The speaker provides examples like in-memory databases (e.g., Facebook’s database infrastructure) to illustrate when to use these instance types.

💡Storage Optimized Instances

Storage Optimized Instances are tailored for workloads that require high-speed and large-scale data storage, such as data warehousing or transaction-heavy applications. The speaker mentions using these instances for tasks requiring fast data access and high performance in reading/writing data to storage.

💡Accelerated Computing Instances

Accelerated Computing Instances use hardware accelerators, like GPUs, for tasks that require high computational power, such as machine learning training or graphics processing. The speaker explains how these instances are best suited for tasks involving GPUs or high-performance computing (HPC), like machine learning model training.

💡Load Testing

Load Testing refers to the process of testing a system’s performance under high demand to determine how many concurrent users it can handle. The speaker advises conducting load tests after deploying an application to ensure that the selected instance type can handle the expected workload and traffic without performance issues.

Highlights

Introduction to security groups discussed in the previous video.

Explanation of different types of instance types when creating an instance.

T2 Micro instance is used as an example to explain instance types.

Comparison of 559 different instance types, emphasizing their continuous growth.

Clarification that exam questions do not ask about the number of instance types or regions.

Explanation of how T2 Micro falls under the 'T' class of instances, with '2' indicating generation.

Discussion on the size hierarchy from Nano to Micro to 2X larger instances.

Steps on selecting the right instance type based on application requirements.

Details on different instance families: General Purpose, Compute Optimized, Memory Optimized, Accelerated Computing, and Storage Optimized.

General Purpose instance is recommended when there's a balance between memory, CPU, and networking needs.

Compute Optimized instances are ideal for high-performance tasks like machine learning and gaming servers.

Memory Optimized instances are recommended when applications require high memory, such as in-memory databases.

Accelerated Computing instances are suitable for GPU-based tasks like machine learning training.

Storage Optimized instances are recommended for high-performance data transactions, such as in databases.

Recommendation to perform load testing after launching an application to measure the instance's handling capacity.