#aws hypervisor

[andmaybegayer]

Last Monday of the Week 2025-04-28

Okay, play the theme song

Listening: That is only a little joke because the song this week is the Perpetua theme from the new F@TT season, Perpetua.

This is part of why I have been wanting to play a JRPG, this season does not sound like it could possibly be a video game but people keep on being like "yes we're going to have the warring sports city with two mayors, like in FireFuckers 27/⅔ Part Seven."

I do like Jack De Quidt doing ominous chanting in the back here, I always appreciate when they do vocal stuff. Looking forward to the rest of this album.

Reading: Started and finished Psalm for the Wild Built, wrote more about that here

Also started Red Mars which is off to a different kind of weird start. This book is dedicated to the brave Saudis of the Noctis Labyrinthus. I am not that far in I don't know how important the Saudis are I started at lunch.

Watching: Watched the first eight? episodes of S4 of The Clone Wars which are an insane mix of awful and pretty good. There's a sharp uptick in space racism here! The clones come down to a planet with funny little guys and groan and are like "oh god not another planet like this." I do appreciate that the clones appear to be getting genre savvy which might not save their ass but at least they are figuring out that sometimes you have to frag your CO.

This is genuinely an insane sequence of episodes because there are some really hot moments! There's a really funny bit where threepio and artoo get Lilliput'd but they immediately solve it by killing the Lilliput tyrant, totally fail to install a democracy, go "we've installed a democracy" and leave behind a squabbling bickering mess of factions. This happens in like 7 minutes by the way. But they also do some truly comical levels of space racism multiple times.

Making: Mocking up some designs for things around the house out of cardboard, which is just such a good building material for large, moderately accurate projects.

Playing: Finished Cyberpunk, read about that here!

Dicking around with some other games. Played some Titanfall 2, picked Sable back up. Sable has some truly jarring control issues but is otherwise delightful, and remarkably doesn't choke even running at 4k on a 6700XT.

Tools and Equipment: Proxmox is not the most flexible or interesting open source hypervisor suite in the world but damn if it isn't one of the more functional ones that can reasonably be deployed in a single afternoon.

[differenttimemachinecrusade]

Cloud Native Storage Market Insights: Industry Share, Trends & Future Outlook 2032

TheCloud Native Storage Market Size was valued at USD 16.19 Billion in 2023 and is expected to reach USD 100.09 Billion by 2032 and grow at a CAGR of 22.5% over the forecast period 2024-2032

The cloud native storage market is experiencing rapid growth as enterprises shift towards scalable, flexible, and cost-effective storage solutions. The increasing adoption of cloud computing and containerization is driving demand for advanced storage technologies.

The cloud native storage market continues to expand as businesses seek high-performance, secure, and automated data storage solutions. With the rise of hybrid cloud, Kubernetes, and microservices architectures, organizations are investing in cloud native storage to enhance agility and efficiency in data management.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3454 

Market Keyplayers:

Microsoft (Azure Blob Storage, Azure Kubernetes Service (AKS))

 IBM, (IBM Cloud Object Storage, IBM Spectrum Scale)

AWS (Amazon S3, Amazon EBS (Elastic Block Store))

Google (Google Cloud Storage, Google Kubernetes Engine (GKE))

Alibaba Cloud (Alibaba Object Storage Service (OSS), Alibaba Cloud Container Service for Kubernetes)

VMWare (VMware vSAN, VMware Tanzu Kubernetes Grid)

Huawei (Huawei FusionStorage, Huawei Cloud Object Storage Service)

Citrix (Citrix Hypervisor, Citrix ShareFile)

Tencent Cloud (Tencent Cloud Object Storage (COS), Tencent Kubernetes Engine)

Scality (Scality RING, Scality ARTESCA)

Splunk (Splunk SmartStore, Splunk Enterprise on Kubernetes)

Linbit (LINSTOR, DRBD (Distributed Replicated Block Device))

Rackspace (Rackspace Object Storage, Rackspace Managed Kubernetes)

 Robin.Io (Robin Cloud Native Storage, Robin Multi-Cluster Automation)

MayaData (OpenEBS, Data Management Platform (DMP))

Diamanti (Diamanti Ultima, Diamanti Spektra)

Minio (MinIO Object Storage, MinIO Kubernetes Operator)

Rook (Rook Ceph, Rook EdgeFS)

Ondat (Ondat Persistent Volumes, Ondat Data Mesh)

Ionir (Ionir Data Services Platform, Ionir Continuous Data Mobility)

Trilio (TrilioVault for Kubernetes, TrilioVault for OpenStack)

Upcloud (UpCloud Object Storage, UpCloud Managed Databases)

Arrikto (Kubeflow Enterprise, Rok (Data Management for Kubernetes)

Market Size, Share, and Scope

The market is witnessing significant expansion across industries such as IT, BFSI, healthcare, retail, and manufacturing.

Hybrid and multi-cloud storage solutions are gaining traction due to their flexibility and cost-effectiveness.

Enterprises are increasingly adopting object storage, file storage, and block storage tailored for cloud native environments.

Key Market Trends Driving Growth

Rise in Cloud Adoption: Organizations are shifting workloads to public, private, and hybrid cloud environments, fueling demand for cloud native storage.

Growing Adoption of Kubernetes: Kubernetes-based storage solutions are becoming essential for managing containerized applications efficiently.

Increased Data Security and Compliance Needs: Businesses are investing in encrypted, resilient, and compliant storage solutions to meet global data protection regulations.

Advancements in AI and Automation: AI-driven storage management and self-healing storage systems are revolutionizing data handling.

Surge in Edge Computing: Cloud native storage is expanding to edge locations, enabling real-time data processing and low-latency operations.

Integration with DevOps and CI/CD Pipelines: Developers and IT teams are leveraging cloud storage automation for seamless software deployment.

Hybrid and Multi-Cloud Strategies: Enterprises are implementing multi-cloud storage architectures to optimize performance and costs.

Increased Use of Object Storage: The scalability and efficiency of object storage are driving its adoption in cloud native environments.

Serverless and API-Driven Storage Solutions: The rise of serverless computing is pushing demand for API-based cloud storage models.

Sustainability and Green Cloud Initiatives: Energy-efficient storage solutions are becoming a key focus for cloud providers and enterprises.

Enquiry of This Report: https://www.snsinsider.com/enquiry/3454  

Market Segmentation:

By Component

Solution

Object Storage

Block Storage

File Storage

Container Storage

Others

Services

System Integration & Deployment

Training & Consulting

Support & Maintenance

By Deployment

Private Cloud

Public Cloud

By Enterprise Size

SMEs

Large Enterprises

By End Use

BFSI

Telecom & IT

Healthcare

Retail & Consumer Goods

Manufacturing

Government

Energy & Utilities

Media & Entertainment

Others

Market Growth Analysis

Factors Driving Market Expansion

The growing need for cost-effective and scalable data storage solutions

Adoption of cloud-first strategies by enterprises and governments

Rising investments in data center modernization and digital transformation

Advancements in 5G, IoT, and AI-driven analytics

Industry Forecast 2032: Size, Share & Growth Analysis

The cloud native storage market is projected to grow significantly over the next decade, driven by advancements in distributed storage architectures, AI-enhanced storage management, and increasing enterprise digitalization.

North America leads the market, followed by Europe and Asia-Pacific, with China and India emerging as key growth hubs.

The demand for software-defined storage (SDS), container-native storage, and data resiliency solutions will drive innovation and competition in the market.

Future Prospects and Opportunities

1. Expansion in Emerging Markets

Developing economies are expected to witness increased investment in cloud infrastructure and storage solutions.

2. AI and Machine Learning for Intelligent Storage

AI-powered storage analytics will enhance real-time data optimization and predictive storage management.

3. Blockchain for Secure Cloud Storage

Blockchain-based decentralized storage models will offer improved data security, integrity, and transparency.

4. Hyperconverged Infrastructure (HCI) Growth

Enterprises are adopting HCI solutions that integrate storage, networking, and compute resources.

5. Data Sovereignty and Compliance-Driven Solutions

The demand for region-specific, compliant storage solutions will drive innovation in data governance technologies.

Access Complete Report: https://www.snsinsider.com/reports/cloud-native-storage-market-3454 

Conclusion

The cloud native storage market is poised for exponential growth, fueled by technological innovations, security enhancements, and enterprise digital transformation. As businesses embrace cloud, AI, and hybrid storage strategies, the future of cloud native storage will be defined by scalability, automation, and efficiency.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[smgoi]

Introduction to Virtualization in Computing.

Imagine you have one computer, but you can split it into many smaller “computers” that each perform different tasks independently. This is the magic of virtualization. Virtualization is the technology that allows one physical computer to operate as if it’s multiple computers, each running its own operating system and applications. This transformation is revolutionizing the computing world, especially in fields like cloud computing, artificial intelligence, and embedded systems.

At St. Mary’s Group of Institutions in Hyderabad, we recognize how important virtualization is in fields like Computer Science Engineering, Artificial Intelligence, and Embedded Systems. Knowing how it works is essential for future engineers and developers looking to build efficient, scalable solutions.

The Basics of Virtualization: How Does It Work?

Virtualization involves using software to create virtual versions of something, whether it’s an operating system, a storage device, or a network. The main software that makes this possible is called a hypervisor.

What is a Hypervisor?

A hypervisor is the foundational tool of virtualization. It sits between the hardware and virtual machines (VMs), enabling multiple operating systems to run simultaneously on a single physical machine. The hypervisor creates, manages, and isolates VMs, each acting as an independent computer. It’s a bit like having multiple workspaces on one desk, each organized for a different task.

Types of Hypervisors

Hypervisors come in two types:

Type 1 (Bare-Metal Hypervisor): Directly installed on the hardware, this hypervisor offers better performance and is ideal for large-scale data centers and cloud environments.

Type 2 (Hosted Hypervisor): Runs on an existing operating system, making it simpler to use on personal computers for testing and development.

Why Virtualization is Game-Changing

Virtualization isn’t just about dividing one computer into many. It offers numerous advantages that are reshaping computing:

Cost Savings: Companies save money on hardware by running multiple virtual servers on a single physical machine.

Efficient Resource Use: Resources can be allocated as needed, reducing waste and improving efficiency.

Flexibility: Virtualization allows for easy testing and development without needing extra physical hardware.

Scalability: It’s easy to add or remove virtual machines, making it ideal for environments with fluctuating workloads.

Isolation: Each VM is isolated, meaning if one crashes, the others remain unaffected.

These benefits are especially valuable in cloud computing, artificial intelligence, and embedded systems, where resource efficiency and scalability are essential.

Different Types of Virtualization

Virtualization goes beyond just running multiple operating systems on one computer. Here are some different forms of virtualization that play a crucial role in modern computing:

Server Virtualization

With server virtualization, one physical server is divided into multiple virtual servers. Each virtual server can run its own operating system and applications independently. This is especially useful in data centers, where it allows multiple clients to share the same physical resources securely.

Example: Cloud providers like AWS and Microsoft Azure use server virtualization to offer virtual servers to their clients.

Desktop Virtualization

Desktop virtualization enables users to access their desktops remotely. Imagine having your entire computer environment (files, software, and settings) accessible from any device, anywhere. This type of virtualization is popular in corporate environments, where employees can access a secure, company-provided desktop from home or while traveling.

Example: Virtual desktops are often used in education, allowing students to access specialized software without requiring powerful personal devices.

Network Virtualization

Network virtualization divides a physical network into multiple virtual networks, each with its own isolated resources. It allows for more efficient management of network resources, especially in data centers with high traffic. Network virtualization also makes it possible to customize and control the flow of data based on the needs of different applications.

Example: In cloud computing, network virtualization enables users to create secure virtual private networks (VPNs) for specific applications.

Storage Virtualization

In storage virtualization, multiple storage devices are combined into a single, centralized storage resource. It makes managing storage more straightforward, enabling companies to allocate storage as needed and increase efficiency in data handling.

Example: Companies with large data volumes, such as social media or e-commerce platforms, use storage virtualization to manage their data efficiently.

Application Virtualization

Application virtualization allows applications to run independently from the operating system. This means an application can run on any device without needing specific hardware or software configurations, simplifying deployment and maintenance.

Example: Companies use application virtualization to provide users with access to complex software without requiring local installation.

Virtualization in Action: Real-World Applications

Virtualization is more than just a buzzword. It’s already transforming industries and impacting our daily lives. Here’s how:

In Cloud Computing

Cloud computing relies heavily on virtualization. By using virtual machines, cloud providers can offer scalable, on-demand resources that adapt to varying workloads. Whether it’s a video streaming service or a large e-commerce platform, cloud providers use virtualization to ensure reliability and flexibility.

In Artificial Intelligence

Virtualization is essential for AI development, where resource-intensive processes require efficient use of hardware. Virtual machines allow developers to run AI models on different systems without needing multiple physical machines. This is especially helpful in research and development, where models can be tested on virtual environments first.

In Embedded Systems

In embedded systems, where resources are often limited, virtualization can help developers test different configurations and environments without needing additional hardware. This flexibility speeds up development and reduces costs, especially in industries like automotive and healthcare.

The Future of Virtualization

Virtualization continues to evolve, driven by advancements like containerization and edge computing.

Containerization: Unlike virtual machines, containers share the operating system’s kernel, making them more lightweight and efficient. Containers are now popular in cloud computing, allowing faster deployment and better scalability.

Edge Computing: With the rise of IoT and 5G, virtualization is moving closer to the “edge” of the network, where data is generated. Edge computing allows data to be processed closer to the source, reducing latency and enabling real-time processing for applications like self-driving cars and smart cities.

For students at St. Mary’s, understanding these trends is crucial. As virtualization continues to shape computing, having a solid grasp of this technology opens up exciting career opportunities in cloud computing, AI, and beyond.

Conclusion

Virtualization is a cornerstone of modern computing, making it possible to use resources more efficiently, scale applications easily, and enhance flexibility in nearly every field of technology. For future computer scientists and engineers, understanding virtualization is essential for working in fields like cloud computing, AI, and embedded systems.

At St Mary's Group of Institutions, Best Engineering Colleges in Hyderabad, we’re committed to providing our students with the knowledge they need to excel in the fast-evolving world of technology. Embrace virtualization—it’s the technology that powers much of our digital world today and will continue to drive innovation in the years to come.

[govindhtech]

Graviton4-based Amazon EC2 R8g Instances: Best Price Quality

AWS Graviton4

After being in preview since re:Invent 2023, the new AWS Graviton4-based Amazon Elastic Compute  Cloud (Amazon EC2) R8g instances are now generally available to everyone. Having created over 2 million Graviton processors, AWS offers more than 150 distinct AWS Graviton-powered Amazon EC2 instance types globally at scale. Additionally, over 50,000 customers use AWS Graviton-based instances to get the greatest pricing performance for their applications.

Amazon EC2 R8g Instances

Amazon’s most powerful and energy-efficient  processor, the AWS Graviton4, runs many Amazon EC2 applications. AWS Graviton4 employs 64-bit Arm instruction set architecture like other Graviton  CPUs. Graviton4-based Amazon EC2 R8g instances outperform R7g instances by 30%. This speeds up your hardest workloads, such as real-time big data analytics, in-memory caches, and high-performance databases.

Amazon Elastic Compute  Cloud (Amazon EC2) R8g instances with the latest AWS Graviton4 processors offer the best pricing performance for memory-optimized workloads. Databases, in-memory caches, and real-time big data analytics run well on Amazon EC2 R8g instances. Comparing R8g instances to the seventh-generation AWS Graviton3-based R7g instances, the former offer up to 30% greater performance and larger instance sizes with up to three times more vCPUs and memory.

Advantages

Amazon EC2’s best price-performance ratio for workloads with memory optimisation

Compared to R7g instances built on Graviton3, R8g instances perform up to 30% better. These instances are perfect for many applications, including databases, in-memory caches, and real-time big data analytics, and they come with DDR5-5600 memory.

Increased effectiveness of resources

Built on the AWS Nitro System are R8g instances. Fast local storage, private networking, and isolated multitenancy are all provided by the AWS Nitro System, which combines specialised hardware with a lightweight hypervisor.

Broad software support

The majority of widely used Linux operating systems are compatible with AWS Graviton-based instances. AWS Graviton-based instances are also supported by a large number of well-known security, monitoring and management, container, and continuous integration and delivery (CI/CD) apps and services from AWS and software partners. Utilising AWS Graviton-based instances, the AWS Graviton Ready programme provides approved software solutions from AWS Partner suppliers.

Qualities

Fueled by AWS Graviton4 chips

The most recent server  processor generation from AWS, called AWS Graviton4, offers workloads in Amazon EC2 the highest performance and energy efficiency. Compared to Graviton3 processors, AWS Graviton4 processors offer compute performance that is up to 30% higher.

Increased safety

With separate caches for each virtual  CPU and support for pointer authentication, AWS Graviton4 processors provide improved security. Amazon Elastic Block Store (Amazon EBS) encryption is also supported by EC2 R8g instances.

Based on the AWS Nitro Framework

Many of the typical virtualization tasks are delegated to specialised hardware and software via the AWS Nitro System, a comprehensive collection of building components. It lowers the overhead associated with virtualization by providing high performance, high availability, and high security.

EC2 R8g instances are powered by Arm-based AWS Graviton4 processors. They deliver the best price performance in Amazon EC2 for memory-intensive applications.

EC2 R8g

More than 100 customers, including Epic Games, SmugMug, Honeycomb, SAP, and ClickHouse, have tested their workloads on AWS Graviton4-based EC2 R8g instances since the preview announcement at re:Invent 2023 and have seen a notable performance boost over comparable instances. When it came to their picture and data compression activities, SmugMug found that utilising AWS Graviton4-based instances outperformed AWS Graviton3-based instances by 20–40%. In comparison to the non-Graviton based instances they utilised four years ago, Epic Games discovered that AWS Graviton4 instances are the fastest EC2 instances they have ever tested, and Honeycomb.io obtained more than twice the throughput per vCPU.

Now let’s have a look at some of the enhancements we’ve included to our new instances. In comparison to R7g instances, EC2 R8g instances offer bigger instance sizes with up to 3x more vCPUs (up to 48xl), 3x more memory (up to 1.5TB), 75% more memory bandwidth, and 2x more L2 cache. This facilitates processing bigger data sets, increasing workloads, speeding up outcomes, and reducing total cost of ownership. In comparison to Graviton3-based instances, which have maximum network bandwidth of 30 Gbps and maximum EBS bandwidth of 20 Gbps, R8g instances offer up to 50 Gbps network bandwidth and up to 40 Gbps EBS bandwidth.

The first Graviton instances to offer two bare metal sizes (metal-24xl and metal-48xl) are R8g instances. You can deploy workloads that gain from direct access to real resources and appropriately scale your instances. The specifications for EC2 R8g instances are as follows:

EC2 R8g instances offer the best energy efficiency for memory-intensive workloads in EC2 if you’re searching for more energy-efficient computing options to help you meet your sustainability goals and lessen your carbon footprint. Furthermore, these instances are based on the AWS Nitro System, which improves workload speed and security by delegating networking, storage, and  CPU virtualization tasks to specialised hardware and software. All high-speed physical hardware interfaces are securely encrypted by the Graviton4 processors, providing you with increased security.

EC2 R8g instances are best for Linux-based workloads like Docker, Kubernetes, and popular programming languages like C/C++, Rust, Go, Java, Python,.NET Core, Node.js, Ruby, and PHP. AWS Graviton4 processors execute web applications 30% faster, databases 40% faster, and large Java programmes 45% faster than AWS Graviton3 processors. Check out the AWS Graviton Technical Guide for additional information.

To begin moving your applications to Graviton instance types, have a look at the assortment of Graviton resources. To get started with Graviton adoption, you may also go to the AWS Graviton Fast Start programme.

R8g EC2

Availability

The US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Frankfurt) AWS Regions currently offer R8g instances.

Pricing

EC2 R8g instances can be bought through savings plans, on-demand, spot, and reserved instances. Go to Amazon EC2 pricing for further details.

Read more on Govindhtech.com

[sophiamerlin]

Understanding Amazon EC2 in AWS: A Comprehensive Overview

Amazon Elastic Compute Cloud (Amazon EC2) is one of the foundational services offered by Amazon Web Services (AWS). It’s a crucial component for businesses and developers looking to deploy scalable, flexible, and cost-effective computing resources in the cloud. In this blog post, we’ll delve into what EC2 is, how it works, its key features, and why it’s a go-to choice for cloud computing.

What is Amazon EC2?

Key Features of Amazon EC2

Scalability: EC2 instances are highly scalable. You can launch as many instances as you need, and you can choose from various instance types, each optimized for different use cases. This scalability makes it easy to handle changing workloads and traffic patterns.

3.Instance Types: There are a wide range of instance types available, from general-purpose to memory-optimized, compute-optimized, and GPU instances. This allows you to choose the right instance type for your specific use case.

4.Pricing Options: EC2 offers flexible pricing options, including on-demand, reserved, and spot instances. This flexibility enables you to optimize costs based on your usage patterns and budget.

5.Security: EC2 instances can be launched within a Virtual Private Cloud (VPC), and security groups and network access control lists (ACLs) can be configured to control inbound and outbound traffic. Additionally, EC2 instances can be integrated with other AWS security services for enhanced protection.

6.Elastic Load Balancing: EC2 instances can be used in conjunction with Elastic Load Balancing (ELB) to distribute incoming traffic across multiple instances, ensuring high availability and fault tolerance.

7.Elastic Block Store (EBS): EC2 instances can be attached to EBS volumes, which provide scalable and durable block storage for your data.

How Does Amazon EC2 Work?

Amazon EC2 operates on the principle of virtualization. It leverages a hypervisor to run multiple virtual instances on a single physical server. Users can choose from various Amazon Machine Images (AMIs), which are pre-configured templates for instances. These AMIs contain the necessary information to launch an instance, including the operating system, software, and any additional configurations.

When you launch an EC2 instance, you select an AMI, specify the instance type, and configure network settings and storage options. Once your instance is up and running, you can connect to it remotely and start using it just like a physical server.

Use Cases of Amazon EC2

Amazon EC2 is a versatile service with a wide range of use cases, including but not limited to:

Web Hosting: Host your websites and web applications on EC2 instances for easy scalability and high availability.

2.Development and Testing: Use EC2 to set up development and testing environments without the need for physical hardware.

3.Data Processing: EC2 is ideal for running data analytics, batch processing, and scientific computing workloads.

4.Machine Learning: Train machine learning models on GPU-backed EC2 instances for accelerated performance.

5.Databases: Deploy and manage databases on EC2 instances, and scale them as needed.

Amazon EC2 is a fundamental building block of AWS, offering users the flexibility to configure and run virtual instances tailored to their specific needs. With its scalability, variety of instance types, security features, and cost-effectiveness, EC2 is a popular choice for businesses and developers looking to harness the power of the cloud.

Whether you’re a startup, a large enterprise, or an individual developer, Amazon EC2 can be a valuable resource in your cloud computing toolkit.

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[chitkaraengineering]

Navigating the Future: B.E. in Computer Science Engineering with a Focus on Cloud Computing & Virtualization Technology

In the fast-paced world of technology, innovation is relentless, and the demand for highly skilled professionals is ever-increasing. As businesses migrate to the cloud and virtualization becomes the norm, a Bachelor of Engineering (B.E.) in Computer Science Engineering with a specialisation in Cloud Computing & Virtualization Technology is your passport to a dynamic and promising career at the forefront of IT innovation.

Embracing the Cloud Revolution

Cloud computing and virtualization are transforming the IT landscape, providing organizations with unprecedented scalability, flexibility, and cost-efficiency. Cloud solutions enable businesses to access and manage their data and applications remotely, while virtualization technology allows for the creation of virtual resources, optimizing hardware utilization.

Why Choose Cloud Computing & Virtualization Technology?

1. In-Demand Skills

   The job market for cloud and virtualization experts is thriving. Companies worldwide are investing heavily in cloud infrastructure, making professionals with these skills highly sought after.

2. Versatility in Career Paths

   Graduates can pursue various career paths, including cloud architect, virtualization engineer, cloud security specialist, and cloud solutions developer.

3.Cutting-Edge Learning

   The program equips students with cutting-edge knowledge in cloud platforms like AWS, Azure, and Google Cloud, as well as virtualization technologies such as VMware and Hyper-V.

4.Problem Solving & Efficiency

   Learn how to optimize IT resources, reduce infrastructure costs, and solve complex IT challenges through virtualization and cloud technologies.

What You Will Learn

The B.E. in Computer Science Engineering with a specialization in Cloud Computing & Virtualization Technology offers a diverse curriculum covering a range of critical areas:

1. Cloud Fundamentals

   Understand the fundamentals of cloud computing, including service models (IaaS, PaaS, SaaS), deployment models (public, private, hybrid), and cloud architecture.

2.Virtualization Technologies

   Dive deep into virtualization concepts, exploring hypervisors, containers, and software-defined infrastructure.

3. Cloud Platforms

   Gain hands-on experience with leading cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

4. Cloud Security

   Learn about cloud security best practices, compliance, and risk management in the cloud.

5. Deployment & Management

   Master the deployment and management of virtualized environments and cloud solutions.

6. Scalability & Performance Optimization

   Discover techniques for optimizing cloud resources and ensuring scalability and high performance.

Real-World Applications

The knowledge and skills acquired in Cloud Computing & Virtualization Technology are highly applicable across industries:

1.Enterprise IT

   Architect and manage scalable cloud infrastructures for businesses, improving agility and cost-effectiveness.

2. Cybersecurity

   Strengthen cloud security measures to protect data and assets from cyber threats.

3. Healthcare

   Streamline healthcare data management and ensure secure access to patient records in the cloud.

4. E-commerce

   Optimize web applications for high traffic and manage customer data efficiently.

5. Research & Development

   Accelerate research processes by leveraging cloud resources for data analysis and simulations.

Career Opportunities

Upon graduation, a plethora of exciting career opportunities await:

1. Cloud Solutions Architect: Design and implement cloud solutions tailored to business needs.

2. Virtualization Engineer: Optimise IT infrastructure by creating and managing virtual environments.

3. Cloud Security Specialist: Protect cloud-based assets from security threats and vulnerabilities.

4. DevOps Engineer: Implement continuous integration and deployment (CI/CD) pipelines in the cloud.

5. Cloud Consultant: Provide expert guidance to businesses on cloud adoption and strategy.

Conclusion

The B.E. in Computer Science Engineering with a specialization in Cloud Computing & Virtualization Technology is your gateway to a future teeming with opportunities. It equips you with the skills and knowledge needed to navigate the ever-changing IT landscape, solve complex challenges, and drive innovation. Join us in shaping the future of IT with cloud computing and virtualization technology. Embark on this transformative journey today and embrace a career at the forefront of technology.

[codeonedigest]

Learn how AWS Nitro beome Next Gen AWS Cloud | An Important Conversation...

Hi, a short #video on #aws #nitro is published on #codeonedigest #youtube channel. Learn what is #awsnitro in 1 minute.

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[queenlua]

hey, i started following you recently and ur bio says ur a hacker? any tips on where to start? hacking seems like a v cool/fun way to learn more abt coding and cybersecurity/infrastructure and i'd like to explore it but there's so much on the internet and like, i'm not trying to get into anything illegal. thanks!

huh, an interesting question, ty!

i can give more tailored advice if you hit me up on chat with more specifics on your background/interests.

given what you've written here, though, i'll just assume you don't have any immediate professional aspirations (e.g. you just want to learn some things, and you aren't necessarily trying to get A Cyber Security Job TM within the next three months or w/e), and that you don't know much about any specific programming/computering domain yet.

(stuff under cut because long)

first i'd probably just try to pick some interesting problem that you think you can solve with tech. this doesn't need to be a "hacking" project at first; i was just messing around with computers for ages before i did anything involving security/exploitation.

if you don't already know how to program, you should ideally pick a problem you can solve via programming. for instance: i learned a lot back in the 2000s, when play-by-post forum RPGs were in vogue.  see, i'd already been messing around, building my own personal sites, first just with HTML & CSS, and later on with Javascript and PHP.   and i knew the forum software everyone used (InvisionPowerBoard) was written in PHP.  so when one of the admins at my RPG complained that they'd like the ability to set multiple profile pictures, i was like, "hey i'm good at programming, want me to create a mod to do that," and then i just... did. so then they asked me to program more features, and i got all the sexy nerd cred for being Forum Mod Queen, and it was a good time, i learned a lot.

(i also got to be the person who was frantically IMed at 2am because wtf the forum is down and there's an inscrutable error, what do??? basically sysadmining! also, much less sexy! still, i learned a lot!)

the key thing is that it's gotta be a problem that's interesting to you: as much as i love making dorky sites in PHP, half the fun was seeing other people using my stuff, and i think the era of forum-based RPGs has passed. but maybe you can apply some programming talents to something that you are interested in—maybe you want to make a silly Chrome extension to make people laugh, a la Cloud to Butt, or maybe you'd like to make a program that converts pixel art into cross-stitching patterns, maybe you want to just make a cool adventure game on those annoying graphing calculators they make you use in class, or make a script for some online game you play, or make something silly with Arduino (i once made a trash can that rolled toward me when i clapped my hands; it was fun, and way easier than you'd think!), whatever.

i know a lot of hacker-types who got their start doing ROM hacking for video games—replacing the character art or animations or whatever in old NES games. that's probably more relevant than the PHP websites, at least, and is probably a solid place to get started; in my experience those communities tend to be reasonably friendly to questions. pick a small thing you want to do & ask how to do it.

also, a somewhat unconventional path, but—once i knew how to program a bit of Python, i started doing goofy junk, like, "hey can i implemented NamedTuple from scratch,” which tends to lead to Python metaprogramming, which leads to surprising shit like "oh, stack frames are literally just Python objects and you can manually edit them in the interpreter to do deliberately horrendous/silly things, my god this language allows too much reflection and i'm having too much fun"... since Python is a lot of folks' first language these days, i thought i'd point that out, since i think this is a pretty accessible start to thinking about How Programs Actually Work under the hood. allison kaptur has some specific recommendations on how to poke around, if you wanna go that route.

it's reasonably likely you'll end up doing something "hackery" in the natural course of just working on stuff. for instance, while i was working on the IPB forum software mods, i became distressed to learn that everyone was using an INSECURE version of the software! no one was patching their shit!! i yelled at the admins about it, and they were like "well we haven't been hacked yet so it's not a problem," so i uh, decided to demonstrate a proof of concept? i downloaded some sketchy perl script, kicked it until it worked, logged in as the admins, and shitposted a bit before i logged out, y'know, to prove my point.

(they responded by banning me for two weeks, and did not patch their software. which, y'know, rip to them; they got hacked by an unrelated Turkish group two months later, and those dudes just straight-up deleted the whole website. i was a merciful god by comparison!)

anyway, even though downloading a perl script and just pointing it at a website isn't really "hacking" (it's the literal definition of script kiddie, heh)—the point is i was just experimenting a lot and trying a lot of stuff, which meant i was getting comfortable with thinking of software as not just some immutable relic, but something you can touch and prod in unexpected ways.

this dovetails into the next thing, which is like, just learn a lot of stuff. a boring conventional computer science degree will teach you a lot (provided you take it seriously and actually try to learn shit); alternatively, just taking the same classes as a boring conventional computer science degree, via edX or whatever free online thingy, will also teach you a lot. ("contributing to open source" also teaches you a lot but... hngh... is a whole can of worms; send a follow-up ask if you want that rant.)

here's where i should note that "hacking" is an impossibly broad category: the kind of person who knows how to fuck with website authentication tokens is very different than someone who writes a fuzzer, who is often quite different than someone who looks at the bug a fuzzer produces and actually writes a program that can exploit that bug... so what you focus on depends on what you're interested in. i imagine classes with names like "compilers," "operating systems," and "networking" will teach you a lot. but, like, idk, all knowledge is god-breathed and good for teaching. hell, i hear some universities these days have actual computer security classes? that's probably a good thing to look at, just to get a sense of what's out there, if you already know how to program.

also be comfortable with not knowing everything, but also, learn as you go. the bulk of my security knowledge came when i got kinda airdropped into a work team that basically hired me entirely on "potential" (lmao), and uh, prior to joining i only had the faintest idea what a hypervisor was? or the whole protection ring concept? or ioctls or sandboxing or threat models or, fuck, anything? i mostly just pestered people with like 800 questions and slowly built up a knowledge base, and remember being surprised & delighted when i went to a security conference a year later and could follow most of the talks, and when i wound up at a bar with a guy on the xbox security team and we compared our security models a bunch, and so on.  there wasn't a magic moment when i "got it", i was just like, "okay huh this dude says he found a ring-0 exploit... what does that mean... okay i think i got that... why is that a big deal though... better ask somebody.." (also: reading an occasional dead tree book is a good idea. i owe my firstborn to Robert Love's Linux Kernel Development, as outdated as it is, and also O'Reilly's kookaburra book gave me a great overview of web programming back in the day, etc.  you can learn a lot by just clicking around random blogs, but you’ll often end up with a lot of random little facts and no good mental scaffolding for holding it together; often, a decent book will give you that scaffolding.)

(also, it's pretty useful if you can find a knowledgable someone to pepper with random questions as you go. finding someone who will actively mentor you is tricky, but most working computery folks are happy to tell you things like "what you're doing is actually impossible, here's why," or "here's a tutorial someone told me was good for learning how to write a linux kernel module," or "here's my vague understanding of this concept you know nothing about," or "here's how you automate something to click on a link on a webpage," which tends to be handier than just google on its own.)

if you're reading this and you're like "ok cool but where's the part where i'm handed a computer and i gotta break in while going all hacker typer”—that's not the bulk of the work, alas! like, for sure, we do have fun pranking each other by trying dumb ways of stealing each other's passwords or whatever (once i stuck a keylogger in a dude's keyboard, fun times). but a lot of my security jobs have involved stuff like, "stare at this disassembly a long fuckin' time to figure out how the program pointer got all fucked up," or, "write a fuzzer that feeds a lot of randomized input to some C++ program, watch the program crash because C++ is a horrible language for writing software, go fix all the bugs," or "think Really Hard TM about all the settings and doohickeys this OS/GPU/whatever has, think about all the awful things someone could do with it, threat model and sandbox accordingly." occasionally i have done cool proof-of-concept hacks but honestly writing exploits can kinda be tedious, lol, so like, i'm only doing that if it's the only way i can get people to believe that Yes This Is Actually A Problem, Fix Your Code

"lua that's cool and all but i wanted, like, actual links and recommendations and stuff" okay, fair. here's some ideas:

microcorruption: very fun embedded security CTF; teaches you everything you need to know as you're doing it.

cryptopals crypto challenges: very fun little programming exercises that teach you a lot of fundamental cryptography concepts as you're going along! you can do these even as a bit of a n00b; i did them in Python for the lulz

the binary bomb lab is hilariously copied by, like, so many CS programs, lol, but for good reason. it's accessible and fun and is the first time most people get to feel like a real hacker! (requires you know a bit of C beforehand)

ctftime is a good way to see when new CTFs ("capture the flag"s; security-focused competitions) are coming up. or, sometimes CTFs post their source code, so you can continue trying them after the CTF is over. i liked Stripe's CTFs when they were going, because they focused on "web stuff", and "web stuff" was all i really knew at the time. if you're more interested in staring at disassembly, there's CTFs focused on that sort of thing too.

azeria has good ARM assembly & exploitation tutorials

also, like, lots of good talks out there; just watching defcon/cansecwest/etc talks until something piques your interest is very fun. i'd die on a battlefield for any of Christopher Domas's talks, but he assumes a lot of specific x86/OS knowledge, lol, so maybe don’t start with that. oh, Julia Evans's blog is honestly probably pretty good for just learning a lot of stuff and really beginner-friendly?

oh and wrt legality... idk, i haven't addressed it here since it hasn't come up in my own work much, tbh. if you're just getting started you're kind of unlikely to Break The Law without, y'know, realizing maybe you're doing something a bit gray-area? and you can cross that bridge when you come to it? Real Hacking TM is way more of a pain-in-the-ass than doing CTFs and such, and you'll learn way more with the latter, so who cares lol just do the fun thing

[livlovlun]

아마존 웹 서비스 최준승 외

1. AWS의 기본 알기 클라우드 컴퓨팅과 AWS Cloud Computing, 그리고 AWS AWS의 특징 AWS의 주요 서비스 AWS의 물리 인프라(Region, AZ, Edge) AWS 과금 방식 이해하기 AWS 과금 요소 AWS 과금 원칙 따라하기 - AWS 서비스 시작하기 AWS 계정 생성 AWS Management Console 로그인 목표 아키텍처 소개 목표 아키텍처 네트워크 구성 2. 리소스를 제어할 수 있는 권한을 관리합니다 - IAM IAM은 어떤 서비스인가요? AWS API, 그리고 IAM AWS API를 사용하는 방법 IAM에서 사용하는 객체들 루트 계정과 IAM 객체 IAM User, Group, Role IAM Policy 따라하기 - 계정 보안 향상을 위한 설정 Cloudtrail 설정 보안/감사를 위한 Config 설정 루트 계정 MFA 설정 패스워드 정책 설정 따라하기 - IAM IAM User 생성 IAM Group 생성 IAM Role 생성 IAM Policy 생성 3. 무제한 용량의 객체 스토리지 - S3 S3는 어떤 서비스인가요? Object Storage, 그리고 S3 Bucket과 Object S3의 접근제어 S3의 Storage Class S3는 어떤 추가기능을 제공하나요? Static Website Hosting Versioning Lifecycle 따라하기 - S3 S3 Bucket 생성 S3 Properties 설정 S3 정적 웹호스팅 설정 S3 Bucket에 객체 업로드 및 다운로드 S3 비용 알기 4. 나만의 Private한 네트워크를 구성해보자 - VPC VPC는 어떤 서비스인가요? Network Topology, 그리고 VPC VPC와 VPC Subnet VPC에서 관리하는 객체 Public Subnet과 Private Subnet VPC는 어떤 기능을 제공하나요? VPC Peering NAT Gateway VPC Endpoint Security Group과 Network ACL 따라하기 - VPC VPC 객체 생성 VPC Subnet 생성 Internet Gateway 생성 및 설정 Route Table 생성 및 설정 Network ACL 정책 설정 Security Group 정책 설정 VPC 비용 알기 5. 모든 서비스의 근본이 되는 Computing Unit - EC2 EC2는 어떤 서비스인가요? Host, Hypervisor, Guest, 그리고 EC2 Instance Type EC2 Action EC2에서 사용하는 Storage Instance Store EBS(Elastic Block Store) 따라하기 - EC2 EC2 Instance 생성 Elastic IP(고정 IP) 설정 EC2 Instance에 SSH 접속 AWS CLI 사용 EC2 meta-data 확인 EC2 비용 알기 6. 귀찮은 DB 관리 부탁드립니다 - RDS RDS는 어떤 서비스인가요? Managed DB Service, 그리고 RDS RDS가 지원하는 DB 엔진 RDS는 어떤 기능을 제공하나요? Multi-AZ Read Replica Backup Maintenance 따라하기 - RDS DB Subnet Group 생성 RDS Parameter Group 생성 RDS Option Group 생성 RDS Instance 생성 RDS Instance 접속 RDS 비용 알기 B. Bridge WordPress 설치 브라우저에서 접속 WordPress AWS Plugin 설치 및 설정 WordPress에 샘플 페이지 포스팅 7. VPC에 특화된 Elastic LoadBalancer - ELB ELB는 어떤 서비스인가요? LB, 그리고 ELB Classic Load Balancer와 Application Load Balancer External ELB와 Internal ELB ELB는 어떤 기능을 제공하나요? Health Check SSL Termination Sticky Session ELB의 기타 기능 따라하기 - ELB ELB 생성하기 ELB 정보 확인 및 기타 설정 ELB 비용 알기 8. 인프라 규모를 자동으로 조절하는 마법 - Auto Scaling Auto Scaling은 어떤 서비스인가요? 인프라 규모의 자동화, Auto Scaling Scale In과 Scale Out Auto Scaling 구성 절차 Launch Configuration Auto Scaling Group Scaling Policy 따라하기 - Auto Scaling 기준 AMI 생성 Launch Configuration 구성 Auto Scaling Group 생성 9. 70여 개의 글로벌 엣지를 클릭 몇 번만으로 사용 - CloudFront CloudFront는 어떤 서비스인가요? CDN, 그리고 CloudFront CloudFront 동작 방식 CloudFront의 원본(Origin) CloudFront는 어떤 기능을 제공하나요? 웹(HTTP/S), 미디어(RTMP) 서비스 동적 콘텐츠 캐싱 보안(Signed URL/Cookie, 국가별 서비스 제한, WAF) 전용 통계 서비스 따라하기 - CloudFront CloudFront 신규 배포 생성하기 CloudFront Origin, Behavior 추가 객체 캐싱 무효화(Invalidation)시키기 CloudFront 비용 알기 10. SLA 100%의 글로벌 DNS 서비스 - Route53 Route53은 어떤 서비스인가요? DNS 서비스, 그리고 Route53 Route53에서 지원하는 레��드 형식 Public, Private Hosted Zone Route53의 특성 Route53은 어떤 기능을 제공하나요? Routing Policy Health Check Alias 레코드 따라하기 - Route53 서비스 도메인 구입 Route53 Hosted Zone 생성 Alias 레코드 생성 및 확인 Route53 비용 알기 11. 모니터링으로부터 시작되는 자동화 - CloudWatch CloudWatch는 어떤 서비스인가요? 모니터링, 그리고 CloudWatch CloudWatch 객체 주요 단위 CloudWatch는 어떤 기능을 제공하나요? Metric Alarm Logs Events Dashboard 따라하기 - CloudWatch 기본 Metric 확인 Custom Metric 생성 Alarm 생성 Logs 생성 Event를 이용한 EBS 백업 CloudWatch 비용 알기

[afsainfosystems]

#AWS #Nitro System: A combination of dedicated hardware & lightweight hypervisor enabling faster innovation and enhanced security Follow for updates http://afsainfosystems.com #AFSAInfosystems #AWSreInvent #reInvent #reInvent2020 #AWSCertified #Cloud #CloudComputing #AWSnitro

[isfeed]

AWS launches Graviton3E, its new Arm-based chip for HPC workloads

AWS launches Graviton3E, its new Arm-based chip for HPC workloads

At its traditional evening keynote at re:Invent, AWS tonight announced quite a bit of new hardware in its cloud, starting with a new version of its Nitro hypervisor, new instance types, and a new version of its custom Arm-based Graviton chips which was specifically designed for powering high-performance computing workloads. This new Graviton3E chip — a variant of the existing Graviton line —…

[sophiaseo34]

Top 10 Cloud Management Software Platforms in 2022

Scalability, cost savings, and operational effectiveness are just a few advantages of the cloud. But here's the situation. As workloads, applications, services, and supporting infrastructure increase, organizing, monitoring, and controlling a cloud environment may become challenging. By using cloud management software, businesses may better manage and keep an eye on their cloud infrastructure services, resources, and data. The top cloud management platforms also provide tools for managing multiple clouds, security, and compliance. Better business outcomes are the outcome.

To ensure optimal performance and cost savings, it's critical to pick the appropriate cloud management software for your requirements. Here are the top 10.

1. CloudZero - Cloud cost intelligence platform

AWS, Kubernetes, and Snowflake environments can use the cloud cost intelligence platform CloudZero. Unlike simple cloud cost management tools, CloudZero precisely connects cost indicators to the individuals, organizations, and things that produce the metadata. The telemetry is then decoded and reported by CloudZero in a format that is simple to understand and useful, such as: 

Cost per product feature

Cost per dev team

Cost per deployment

Cost per project 

Cost per customer 

Cost per tenant

2. Kubernetes - Container and microservices management platform

An open-source, highly extendable, and production-ready container orchestration platform is called Kubernetes (K8s). No matter where they are deployed and managed on-premises, in public, private, or hybrid clouds containerized applications and microservices may. K8s is recognized for its web interface, adaptability, and capacity for self-healing. The platform for container orchestration also automates load balancing, batch processing, and rollbacks and rollouts. In other words, Kubernetes is perfect for managing distributed systems at scale.

3. Morpheus - Self-service hybrid cloud management and automation platform

A cloud management platform with orchestration and cloud application management features is called Morpheus. You may use it to manage Kubernetes, consolidate hybrid cloud workloads, administer a public cloud, and establish a private cloud. Additionally, Morpheus Data enables strong cloud governance, which entails management of security posture in addition to authentication and access control. Morpheus is the best tool for managing virtual machines, container-based stacks, and the complete application development lifecycle because of these features combined with others. 

4. Apache CloudStack - Open-source cloud management platform for small and medium businesses

Building, deploying, and managing infrastructure cloud services are made simpler with CloudStack. With the help of CloudStack, an Infrastructure-as-a-Service provider, you may build a private or public computing cloud employing a range of computing resources, such as network and storage services. The powerful features of CloudStack include support for seven hypervisors and hypervisor technologies, automated cloud configuration, enormous infrastructure scaling, and an easy-to-use API for resource provisioning. 

5. Terraform - Infrastructure-as-code software for managing multiple cloud services

Teams of any size may use Terraform to autonomously provision, modify, and version cloud resources on any infrastructure. It may carry out this action manually or automatically in response to an occasion. You may manage your cloud stack however you like using the open-source version. Your small team now has access to Terraform Cloud, a hosted service that enables them to run Terraform in a reliable setting, connect it to version control, and shared variables, and securely save distant states. Larger teams can use the paid versions.

6. TotalCloud - Workflow-based cloud management software

No matter how basic or complex your demands may be, Qualy's TotalCloud gives you access to comprehensive flexibility for automating your cloud management. Without knowing any code, you can design your own automation workflows and bots for cloud administration using TotalCloud. Additionally, TotalCloud can be used for inventory management, auto-remediation, performance monitoring, and resource scheduling. You can use it simultaneously across several accounts and regions thanks to its multi-region and multi-account administration features.

 

7. Cloud Orchestrator by IBM - Policy-based cloud management software

The configuration, deployment, and provisioning of cloud services are made easier by IBM's Cloud Orchestrator, which also incorporates service management. Additionally, Cloud Orchestrator supports quick and secure monitoring, management, and backup of your cloud environment. With a newer version of Cloud Orchestrator, you may add more sophisticated features like multi-cloud administration and a configurable self-service panel. Furthermore, considering that IBM owns Turbonomic, the enterprise-grade application resource management platform, this would be a logical choice if you currently use or intend to utilize it.

8. RedHat Cloud Suite - RedHat’s All-in-one cloud management tools

Built on highly scalable cloud infrastructure, the RedHat Cloud Suite offers a unified management framework for its container-based application development platform. It expedites the creation of apps and private cloud services. It also makes use of similar public cloud services offered by OpenStack to enhance control. Satellite assists with life cycle management, whereas CloudForm combines application development and infrastructure management. Because of this, Red Hat offers a strong platform for businesses of all sizes wishing to implement cloud infrastructure or cloud-native applications both locally and remotely.

9. AppDynamics - Cloud monitoring and management for on-premises and hybrid clouds

Cloud migration and end-to-end application performance monitoring are two of Cisco's AppDynamics' most well-known features. However, AppDynamic also provides full-stack control for networks, security, infrastructure, and cloud apps. It also allows your team to follow end-user journeys, giving them the information they need to enhance the platform user experience. Real-time observability of server, database, and infrastructure resources is also supported by AppDynamics. It is also perfect for cloud management use cases for various company sizes because it automatically scales to meet demand.

10. Azure Management Tools - End-to-end Microsoft Azure cloud infrastructure management

Microsoft Azure Cloud, the second-most popular cloud service provider today, offers a number of administration options. Azure management tools are a full suite of governance and management services for the cloud that let you keep track of your infrastructure and apps. The tools can be used on-premises, on Azure Cloud, or in a hybrid cloud. Additional use cases include threat detection, resource provision, app upgrades, infrastructure monitoring, resource backup, and process automation.

More Information

Choosing to invest in a cloud management platform is a crucial choice. Whether you choose an open-source solution or not, keep in mind the time commitment required to set up, configure, and maintain the system. Nodesol provides a wide range of reliable tools for the cloud and cloud management that is utilized by several businesses and service providers across the world. You can maximize your cloud investment with the aid of our Cost Intelligence Team. These customer success professionals are not your typical ones. Our team has expertise working with pioneering SaaS companies. To learn how Nodesol can manage cloud costs without impeding engineering, growth, or innovation, get a demo today. Book a free consultation call with us.