Amazon Elastic Compute Cloud

Amazon Elastic Compute Cloud

 Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment.

Amazon EC2 offers the broadest and deepest compute platform with choice of processor, storage, networking, operating system, and purchase model. We offer the fastest processors in the cloud and we are the only cloud with 400 Gbps ethernet networking. We have the most powerful GPU instances for machine learning training and graphics workloads, as well as the lowest cost-per-inference instances in the cloud. More SAP, HPC, Machine Learning, and Windows workloads run on AWS than any other cloud. Click here to learn What's New with Amazon EC2.

Reliable, scalable, infrastructure on demand

• Increase or decrease capacity within minutes, not hours or days
  
• SLA commitment of 99.99% availability for each Amazon EC2 region. Each region consists of at least 3 availability zones
  
• The AWS Region/AZ model has been recognized by Gartner as the recommended approach for running enterprise applications that require high availability.

Flexible options to optimize cost

• With On Demand, pay for only the compute you need. Gain up to 40% better price performance with AWS Graviton2-based instances or 10% lower costs with AMD-based instances.
• Amazon EC2 Spot can reduce costs up to 90% or accelerate performance for fault-tolerant workloads such as big data, containers, web services, and CI/CD.
• AWS Savings Plans offers savings of up to 72% on Amazon EC2 instances usage, regardless of instance family, size, OS, tenancy or AWS Region.

Building Blocks

Amazon EC2 offers the broadest and deepest choice of instances, built on the latest compute, storage, and networking technologies and engineered for high performance and security.

Faster innovation and increased security with AWS Nitro System

The AWS Nitro System is the underlying platform for our next generation of EC2 instances that offloads many of the traditional virtualization functions to dedicated hardware and software to deliver high performance, high availability, and high security while also reducing virtualization overhead. The Nitro System is a rich collection of building blocks that can be assembled in many different ways, giving us the flexibility to design and rapidly deliver new EC2 instance types with an ever-broadening selection of compute, storage, memory, and networking options.

Choice of processors

A choice of latest generation Intel Xeon, AMD EPYC, and AWS Graviton CPUs enables you to find the best balance of performance and price for your workloads. EC2 instances powered by NVIDIA GPUs and AWS Inferentia are also available for workloads that require accelerated computing such as machine learning, gaming, and graphic intensive applications.

High performance storage

Amazon Elastic Block Store (EBS) provides easy to use, high performance block storage for use with Amazon EC2. Amazon EBS is available in a range of volume types that allow you to optimize storage performance and cost for your workloads. Many EC2 instance types also come with options for local NVMe SSD storage for applications that require low latency.

Enhanced networking

AWS is the first and only cloud to offer 400 Gbps enhanced Ethernet networking for compute instances. Enhanced networking enables you to get significantly higher packet per second (PPS), lower network jitter, and lower latency. For high performance computing (HPC) applications, Elastic Fabric Adapter is a network interface for Amazon EC2 instances that offers low-latency, high-bandwidth interconnect between compute nodes to help scale applications to thousands of cores.

Choice of purchasing model

We offer a choice of multiple purchasing models with On-Demand, Spot Instances, and Savings Plan. With Spot Instances, you can save up to 90% for fault-tolerant workloads. With Savings Plan, you can save up to 72% savings with committed usage and flexibility across EC2, Fargate, and Lambda. You can also optimize your costs with recommendations on instances, built into EC2 with AWS Compute Optimizer or through tools such as Cost Explorer.

Learn 3 in-demand cloud skills in 30 days at no cost

 2021 Update: Sign up here for 30 days free access to Google Cloud labs where you can build your cloud competencies and start earning skill badges to showcase your growing skillset in 2021.

In April, we announced we were expanding our Google Cloud learning resources to support the growing number of people working and learning from home. Today, we are excited to announce that if you sign up by May 31, 20201, you can still enroll in Google Cloud training on both Pluralsight and Qwiklabs at no cost for 30 days—here’s where you can get started.

If you’re new to Google Cloud, we recommend our five-hour introductory-level series of labs, Google Cloud Essentials. These labs will give you a tour of Google Cloud and help you familiarize yourself with basic cloud concepts such as virtual machines on Google Compute Engine, containerized applications with Kubernetes Engine, network load balancers, and HTTP load balancers. To get started, register here and select Qwiklabs.

If you’re ready to dive even deeper into cloud, Pluralsight offers a full breadth of video-based Google Cloud learning paths, courses, and skills assessments. To help you pick your path, we’ve recommended below three in-demand skills you can start learning over the next 30 days at no cost on Pluralsight. To get started, register and select Pluralsight here to receive a special access link via email. Once you set up your Pluralsight account, you can search for any of the learning paths mentioned in this post from the Pluralsight catalog. 

Build your data analytics expertise

According to McKinsey research, almost 60% of businesses find it harder to source talent for data and analytics positions than any other roles. The Data Analytics on Google Cloud learning path helps you build these much-needed skills, teaching you to explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. You’ll also dig deeper into data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This 13-hour learning path includes four courses which are a combination of hands-on labs and lectures. We recommend you have some prior experience with ANSI SQL before taking this learning path.

Do some learning on machine learning 

The global machine learning market is expected to grow almost 44% from 2019 to 2025, making these skills relevant for any technical professional. The Machine Learning on Google Cloud learning path will allow you to experiment with end-to-end machine learning, starting from building a machine learning-focused strategy and progressing into model training, optimization, and production with hands-on labs using Google Cloud. This 17-hour learning path includes five courses with interactive hands-on labs and lectures. Anyone with knowledge of querying with SQL and programming in Python can take this learning path.

Sharpen your Kubernetes skills

Google Kubernetes Engine (GKE) is a managed, production-ready environment for running containerized applications that’s trusted by businesses all over the world. The Architecting with Google Kubernetes Engine learning path will teach you how to implement solutions using GKE by building, scheduling, load balancing, and monitoring workloads. You’ll also learn to manage role-based access control and security, as well as provide persistent storage to these applications. This 10-hour learning path consists of four courses that have a mix of presentations, demos, and hands-on labs. 

To get the most from this training, we recommend you have experience with virtual machines, networks, storage in the cloud as well as experience with developing, deploying, and monitoring in the cloud. If you’d like to gain more experience before taking Architecting with Google Kubernetes Engine, you can take the three-hour Google Cloud Platform Fundamentals: Core Infrastructure course on Pluralsight. 

Ready to strengthen your cloud skills with Google Cloud training? Register here and claim your training offers by May 31 to get your free 30-days access on Qwiklabs and Pluralsight.

Teri nakaami

 Teri Naakmi uske bahut kaam aayi 

jo tu haar gya toh 

सब जाग रहे तू सोता रह………….

                                            सब जाग रहे तू सोता रह………….                                                                                       

 

सब जाग रहे तू सोता रह……….

किस्‍मत को थामे रोता रह ।1।

जो दूर है माना मिला नहीं

जो पास भी है वो भी खोता रह ।2।

लहरों पर मोती चमक रहे

झोंके भी तुझ तक सिमट रह ।3।

न तूफान कोई आने वाला

सब तह तक गोते लगा रह ।4।

लहरें तेरी कदमों में है

तू नाव पकड़ बस रोता रह ।5।

सब जाग रहे तू सोता रह

किस्‍मत को थामे रोता रह ।6।

धूप अभी सिरहाने है

मौसम जाने पहचाने है ।7।

रात अभी तो घंटो है

बस कुछ पल दूर ठिकाने है ।8।
इतनी दूरी तय कर आया

दो पग चलने में रोता रह ।9।

सब जाग रहे तू सोता रह

किस्‍मत को थामे रोता रह ।10।

माना कि मुश्किल भारी है

पर तुझमें क्‍या लाचारी है ।11।

ये हार नहीं बाहर की है

भीतर से हिम्‍मत हारी है ।12।

उठ रहे यहां, सब गिर-गिर कर

न उठ तू यूँ ही लेटा रह ।13।

सब जाग रहे तू सोता रह

किस्‍मत को थामे रोता रह ।14।

जो दूर है माना मिला नहीं

जो पास भी है वो भी खोता रह ।15।

कवि

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