Zeljko Obrenovic' Technology Catalog

The Compute services are cloud resources that allow you to carry out computational abilities via a series of instructions used by applications and systems.

Data Centers and Availability Zones (4)

Virtual Machines (3)

Serverless Computing (3)

Batch Processing (3)

Container Platforms (6)

Load Balancing & Autoscaling (4)

Data Centers and Availability Zones (4)

A data center, or data centre, is a building, dedicated space within a building, or a group of buildings used to house computer systems and associated components, such as telecommunications and storage systems.

[AWS] Global Infrastructure
The Most Secure, Extensive, and Reliable Global Cloud Infrastructure, for all your applications.
The AWS Global Cloud Infrastructure is the most secure, extensive, and reliable cloud platform, offering over 175 fully featured services from data centers globally. Whether you need to deploy your application workloads across the globe in a single click, or you want to build and deploy specific applications closer to your end-users with single-digit millisecond latency, AWS provides you the cloud infrastructure where and when you need it.

With millions of active customers and tens of thousands of partners globally, AWS has the largest and most dynamic ecosystem. Customers across virtually every industry and of every size, including start-ups, enterprises, and public sector organizations, are running every imaginable use case on AWS.

AWS now spans 216 points of presence, 73 Availability Zones within 23 geographic regions around the world, and has announced plans for twelve more Availability Zones and four more AWS Regions in Indonesia, Italy, Japan, and Spain.

Every data center, AZ, and AWS Region is interconnected via a purpose-built, highly available, and low-latency private global network infrastructure. The network is built on a global, fully redundant, parallel 100 GbE metro fiber network that is linked via trans-oceanic cables across the Atlantic, Pacific, and Indian Oceans, as well as the Mediterranean, Red Sea, and South China Seas.

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[AWS] Local Zones
Run latency sensitive applications closer to end-users.
AWS Local Zones are a new type of AWS infrastructure deployment that places AWS compute, storage, database, and other select services closer to large population, industry, and IT centers where no AWS Region exists today. With AWS Local Zones, you can easily run latency-sensitive portions of applications local to end-users and resources in a specific geography, delivering single-digit millisecond latency for use cases such as media & entertainment content creation, real-time gaming, reservoir simulations, electronic design automation, and machine learning.

Each AWS Local Zone location is an extension of an AWS Region where you can run your latency-sensitive applications using AWS services such as Amazon Elastic Compute Cloud, Amazon Virtual Private Cloud, Amazon Elastic Block Store, Amazon FSx, and Amazon Elastic Load Balancing in geographic proximity to end-users. AWS Local Zones provide a high-bandwidth, secure connection between local workloads and those running in the AWS Region, allowing you to seamlessly connect back to your other workloads running in AWS and to the full range of in-region services through the same APIs and tool sets.

AWS Local Zones are managed and supported by AWS, bringing you all of the elasticity, scalability, and security benefits of the cloud. With AWS Local Zones, you can easily build and deploy latency-sensitive applications closer to your end-users using a consistent set of AWS services, scale up or scale down, and pay only for the resources that you use.

The Los Angeles AWS Local Zone is generally available and you can expect more Local Zones to come.

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Links:
- aws.amazon.com/about-aws/global-infrastructure/localzones
[Azure] Global Infrastructure
Achieve global reach and the local presence you need.
Go beyond the limits of your on-premises datacenter using the scalable, trusted, and reliable Microsoft Cloud. Transform your business and reduce costs with an energy-efficient infrastructure spanning more than 100 highly secure facilities worldwide, linked by one of the largest networks on earth.

Source: https://azurecomcdn.azureedge.net/cvt-f5458f331e589f4df3ee1444da812347560174b9cfa47ae530103d627388294d/images/shared/regions-map-large.svg

Links:
- azure.microsoft.com/en-us/global-infrastructure
[Google Cloud] Global Infrastructure
Google Cloud Platform has added new regions: Zurich, Osaka, Seoul, and Salt Lake City. Our private, software-defined network provides fast and reliable connections to users around the world.
Source: https://cloud.google.com/images/locations/regions.png

Source: https://cloud.google.com/images/locations/edgepoint.png

Links:
- cloud.google.com/about/locations

Virtual Machines (3)

Configurable virtual machines running in cloud provider data centers with access to high-performance networking infrastructure and block storage.

[AWS] Elastic Compute Cloud (Amazon EC2)
Secure and resizable compute capacity in the cloud. Launch applications when needed without upfront commitments.
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.

Source: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/images/architecture_ami_instance.png

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Source: https://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/images/elastic-graphics.png

Links:
- aws.amazon.com/ec2
[Azure] Virtual Machines
Create Linux and Windows virtual machines (VMs) in seconds.
Deploy virtual machines featuring up to 416 vCPUs and 12 TB of memory. Get up to 3.7 million local storage IOPS per VM. Take advantage of up to 30 Gbps Ethernet and cloud’s first deployment of 200 Gbps InfiniBand.

Source: https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/media/overview/consistent-management-layer.png

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Source: https://docs.microsoft.com/en-us/azure/includes/media/virtual-machines-common-ppg/ppg.png

Links:
- azure.microsoft.com/en-us/services/virtual-machines
[Google Cloud] Compute Engine
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation.
General purpose (N2) machines balance price and performance and are suitable for most workloads. General purpose (N2D) VMs are great for workloads requiring a balance of compute and memory. General purpose (E2) machines offer the lowest TCO and are great for a broad range of workloads. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases

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Links:
- cloud.google.com/compute

Serverless Computing (3)

A fully-managed event-driven compute service allowing developers to focus on writing and uploading code without the need to manage infrastructure such as servers.

[AWS] Lambdas
Run code without thinking about servers. Pay only for the compute time you consume.
AWS Lambda lets you run code without provisioning or managing servers. You pay only for the compute time you consume.

With Lambda, you can run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app.

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Links:
- aws.amazon.com/lambda
[Azure] Functions
More than just event-driven serverless compute.
Develop more efficiently with Functions, an event-driven serverless compute platform that can also solve complex orchestration problems. Build and debug locally without additional setup, deploy and operate at scale in the cloud, and integrate services using triggers and bindings.

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Source: https://docs.microsoft.com/en-us/samples/azure-samples/serverless-microservices-reference-architecture/serverless-microservices-reference-architecture/media/macro-architecture.png

Links:
- azure.microsoft.com/en-us/services/functions
[Google Cloud] Functions
Google Cloud’s event-driven serverless compute platform.
Cloud Functions is Google Cloud’s event-driven serverless compute platform. Run your code locally or in the cloud without having to provision servers. Go from code to deploy with continuous delivery and monitoring tools. Cloud Functions scales up or down, so you pay only for compute resources you use. Easily create end-to-end complex development scenarios by connecting with existing Google Cloud or third-party services.

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Links:
- cloud.google.com/functions

Batch Processing (3)

[AWS] Batch
Fully managed batch processing at any scale.
AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as Amazon EC2 and Spot Instances.

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Links:
- aws.amazon.com/batch
[Azure] Batch
Cloud-scale job scheduling and compute management.
Batch processing began with mainframe computers and punch cards. Today, it still plays a central role in business, engineering, science, and other areas that require running lots of automated tasks—processing bills and payroll, calculating portfolio risk, designing new products, rendering animated films, testing software, searching for energy, predicting the weather, and finding new cures for disease. Previously, few people had access to the computing power for these scenarios. With Azure Batch, that power is available to you when you need it, without any capital investment..

Source: https://docs.microsoft.com/en-us/azure/batch/media/batch-technical-overview/tech_overview_03.png

Links:
- azure.microsoft.com/en-us/services/batch
[Google Cloud] Batch
Efficiently run batch jobs using Kubernetes.
Batch on Google Kubernetes Engine (GKE) is a cloud-native solution for managing your batch workloads using Kubernetes. Batch brings the functionality and familiar interface of a traditional batch job scheduler into a cloud-first world. It overcomes the rigidity of fixed clusters for batch jobs by allowing you to easily scale and dynamically allocate resources to meet your workload requirements.

Source: https://services.google.com/fh/files/blogs/go_kbatch_genomics_reference_architecture.png

Links:
- cloud.google.com/batch

Container Platforms (6)

A container platform is a set of platform as a service products that uses OS-level virtualization to deliver software in packages called containers.

[AWS] Elastic Container Service (Amazon ECS)
Highly secure, reliable, and scalable way to run containers.
Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service. Customers such as Duolingo, Samsung, GE, and Cook Pad use ECS to run their most sensitive and mission critical applications because of its security, reliability, and scalability.

ECS is a great choice to run containers for several reasons. First, you can choose to run your ECS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, ECS is used extensively within Amazon to power services such as Amazon SageMaker, AWS Batch, Amazon Lex, and Amazon.com’s recommendation engine, ensuring ECS is tested extensively for security, reliability, and availability.

Additionally, because ECS has been a foundational pillar for key Amazon services, it can natively integrate with other services such as Amazon Route 53, Secrets Manager, AWS Identity and Access Management (IAM), and Amazon CloudWatch providing you a familiar experience to deploy and scale your containers. ECS is also able to quickly integrate with other AWS services to bring new capabilities to ECS. For example, ECS allows your applications the flexibility to use a mix of Amazon EC2 and AWS Fargate with Spot and On-Demand pricing options. ECS also integrates with AWS App Mesh, which is a service mesh, to bring rich observability, traffic controls and security features to your applications. ECS has grown rapidly since launch and is currently launching 5X more containers every hour than EC2 launches instances.

Source: https://d1.awsstatic.com/diagrams/product-page-diagrams/product-page-diagram_ECS_1.86ebd8c223ec8b55aa1903c423fbe4e672f3daf7.png

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Source: https://github.com/awslabs/amazon-ecs-nodejs-microservices/blob/master/images/microservice-containers.png?raw=true

Links:
- aws.amazon.com/ecs
- aws.amazon.com/docker
[AWS] Elastic Container Registry
Easily store, manage, and deploy container images.
Amazon Elastic Container Registry (ECR) is a fully-managed Docker container registry that makes it easy for developers to store, manage, and deploy Docker container images. Amazon ECR is integrated with Amazon Elastic Container Service (ECS), simplifying your development to production workflow. Amazon ECR eliminates the need to operate your own container repositories or worry about scaling the underlying infrastructure. Amazon ECR hosts your images in a highly available and scalable architecture, allowing you to reliably deploy containers for your applications. Integration with AWS Identity and Access Management (IAM) provides resource-level control of each repository. With Amazon ECR, there are no upfront fees or commitments. You pay only for the amount of data you store in your repositories and data transferred to the Internet.

Source: https://d1.awsstatic.com/diagrams/product-page-diagrams/Product-Page-Diagram_Amazon-ECR.bf2e7a03447ed3aba97a70e5f4aead46a5e04547.png

Links:
- aws.amazon.com/ecs
- aws.amazon.com/docker
[AWS] Elastic Kubernetes Service (Amazon EKS)
The most trusted way to run Kubernetes.
Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission critical applications because of its security, reliability, and scalability.

EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications. Third, EKS integrates with AWS App Mesh and provides a Kubernetes native experience to consume service mesh features and bring rich observability, traffic controls and security features to applications. Additionally, EKS provides a scalable and highly-available control plane that runs across multiple availability zones to eliminate a single point of failure. EKS runs upstream Kubernetes and is certified Kubernetes conformant so you can leverage all benefits of open source tooling from the community. You can also easily migrate any standard Kubernetes application to EKS without needing to refactor your code.

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Source: https://d1.awsstatic.com/Getting%20Started/eks-project/EKS-demo-app.e7ce7b188f2662b8573b5881a6b843e09caf729a.png

Links:
- aws.amazon.com/ecr
[AWS] Fargate
Serverless compute for containers.
AWS Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). Fargate makes it easy for you to focus on building your applications. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Fargate allocates the right amount of compute, eliminating the need to choose instances and scale cluster capacity. You only pay for the resources required to run your containers, so there is no over-provisioning and paying for additional servers. Fargate runs each task or pod in its own kernel providing the tasks and pods their own isolated compute environment. This enables your application to have workload isolation and improved security by design. This is why customers such as Vanguard, Accenture, Foursquare, and Ancestry have chosen to run their mission critical applications on Fargate.

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Links:
- aws.amazon.com/fargate
[Azure] Kubernetes Service
Highly available, secure, and fully managed Kubernetes service.
The fully managed Azure Kubernetes Service (AKS) makes deploying and managing containerized applications easy. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence.

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Source: https://azurecomcdn.azureedge.net/cvt-f5458f331e589f4df3ee1444da812347560174b9cfa47ae530103d627388294d/images/page/services/kubernetes-service/manage.png

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Source: https://docs.microsoft.com/en-us/azure/architecture/solution-ideas/media/migrate-existing-applications-with-aks.png

Links:
- azure.microsoft.com/en-us/services/kubernetes-service
Google Kubernetes Engine
Run advanced apps on a secured and managed Kubernetes service.
GKE is an enterprise-grade platform for containerized applications, including stateful and stateless, AI and ML, Linux and Windows, complex and simple web apps, API, and backend services. Leverage industry-first features like four-way auto-scaling and no-stress management. Optimize GPU and TPU provisioning, use integrated developer tools, and get multi-cluster support from SREs.

Source: https://cloud.google.com/solutions/images/spin-architecture-gcp.png

Links:
- cloud.google.com/kubernetes-engine

Load Balancing & Autoscaling (4)

Load balancing refers to efficiently distributing incoming network traffic across a group of backend servers, also known as a server farm or server pool.

[AWS] Elastic Load Balancing
Achieve fault tolerance for any application by ensuring scalability, performance, and security.
Elastic Load Balancing automatically distributes incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, IP addresses, and Lambda functions. It can handle the varying load of your application traffic in a single Availability Zone or across multiple Availability Zones. Elastic Load Balancing offers three types of load balancers that all feature the high availability, automatic scaling, and robust security necessary to make your applications fault tolerant.

Source: https://docs.aws.amazon.com/elasticloadbalancing/latest/userguide/images/cross_zone_load_balancing_enabled.png

Source: https://docs.aws.amazon.com/elasticloadbalancing/latest/userguide/images/cross_zone_load_balancing_disabled.png

Source: http://awsmedia.s3.amazonaws.com/2012-02-24-techdoc-elb-arch.png

Links:
- https://aws.amazon.com/elasticloadbalancing
[AWS] EC2 Auto Scaling
Add or remove compute capacity to meet changes in demand.
Amazon EC2 Auto Scaling helps you maintain application availability and allows you to automatically add or remove EC2 instances according to conditions you define. You can use the fleet management features of EC2 Auto Scaling to maintain the health and availability of your fleet. You can also use the dynamic and predictive scaling features of EC2 Auto Scaling to add or remove EC2 instances. Dynamic scaling responds to changing demand and predictive scaling automatically schedules the right number of EC2 instances based on predicted demand. Dynamic scaling and predictive scaling can be used together to scale faster.

Source: https://docs.aws.amazon.com/autoscaling/ec2/userguide/images/as-basic-diagram.png

Source: https://docs.aws.amazon.com/autoscaling/ec2/userguide/images/capacity-example-with-as-diagram.png

Source: https://docs.aws.amazon.com/autoscaling/ec2/userguide/images/as-sample-web-architecture-diagram-with-asgs.png

Source: https://docs.aws.amazon.com/autoscaling/ec2/userguide/images/as-sample-web-architecture-diagram-with-asgs-and-azs.png

Source: https://docs.aws.amazon.com/autoscaling/ec2/userguide/images/auto_scaling_lifecycle.png

Links:
- aws.amazon.com/ec2/autoscaling
[Azure] Load Balancer
Deliver high availability and network performance to your applications.
With built-in load balancing for cloud services and virtual machines, you can create highly-available and scalable applications in minutes. Azure Load Balancer supports TCP/UDP-based protocols such as HTTP, HTTPS, and SMTP, and protocols used for real-time voice and video messaging applications.

Source: https://docs.microsoft.com/en-us/azure/load-balancer/media/load-balancer-overview/load-balancer.svg

Links:
- azure.microsoft.com/en-us/services/load-balancer
[Google Cloud] Load Balancing
High performance, scalable load balancing on Google Cloud Platform.
Scale your applications on Compute Engine from zero to full throttle with Cloud Load Balancing, with no pre-warming needed. Distribute your load-balanced compute resources in single or multiple regions—close to your users—and to meet your high availability requirements. Cloud Load Balancing can put your resources behind a single anycast IP and scale your resources up or down with intelligent autoscaling. Cloud Load Balancing comes in a variety of flavors and is integrated with Cloud CDN for optimal application and content delivery.

Source: https://cloud.google.com/load-balancing/images/lb-simple-overview.svg

Source: https://cloud.google.com/load-balancing/images/choose-lb-5.svg

Links:
- cloud.google.com/load-balancing

Public Cloud Encyclopedia: Compute Products

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