Manning Global AG’s Post

I invite you to read this informative and advanced content

Why do we use Virtual Machines (VMs) and Containers in Telco Cloud? 🤔 My friend: Hi Ibrahim, I have a question for you. Me: Please, go ahead. My friend: I want to understand what is the trigger to move from Physical Servers into VMs and Containers? Me: Let’s assume that we have one physical server using one operating system (OS) with two apps installed on it, which are app A, version 1.0 and app B, version 1.0 and both apps are using a shared library v1.0. When app A has an update to v2.0, the shared library needs to be updated as well to shared library v2.0 which will make app A perform well, however app B will fail as it needs shared library v1.0 and so you can choose either to wait for both apps to have the same dependencies or separate the two apps in two different servers. So, you can imagine if every app needs a dedicated server with its own dependencies, we’ll have a huge number of physical servers in enterprise data centers. So, applications were deployed in separate servers not necessarily for performance or security reasons, but to guarantee stability following updates. Same applied for telco world, as we have a separate HW for each function, so for example, SGSN equipment is only SGSN and can’t be MSC or HLR and you can’t combine the SGSN, MSC, and HLR in one HW. My friend: So, how did we solve this problem? Me: By using server virtualization which breaks the 1:1 relationship between apps and HW. A piece of SW, called a hypervisor, logically partitions the HW resources of a physical server into VMs. Each VM has its own OS (it is called guest OS) and application stack that are self-contained which means both can be updated without causing a dependency conflict with other VMs. So, virtualization solved the problem of huge number of physical servers, but introduced another problem 😕 My friend: Really, what is the new problem here? 😮 Me: Companies had potentially ten times the number of VMs as they did servers, so the principal challenge of virtualization then became the onerous maintenance and patching of the operating system within each VM. My friend: So, how did we overcome this new challenge with virtualization? Me: By using containers concept. So, another piece of SW called container engine, will provide application isolation and dependency management without the need to virtualize the OS, so all containers on a server share the OS of this server whether the server is using bare-metal or VM infrastructure. Each container is a complete instance of the application including all its various dependencies and so when a new app version is released, the developer published a new version of the container, even you can run multiple containerized versions of the same app on a single server. Of course, Kubernetes should be used to manage and orchestrate all these containers. My friend: Thank you so much, you made it very clear. Me: You are welcome. Please press the like and share buttons to spread this info. #5g #telcocloud

Getting Started with Azure Virtual Machines 🚀 Azure Virtual Machines (VMs) are one of the most powerful and flexible offerings within the Microsoft Azure ecosystem. They provide the ability to create and use virtualized computing resources on-demand, making them an essential component for many cloud solutions. Here’s a quick overview of setting up and managing VMs in Azure: 1. Setting Up Azure VMs a. Creating a VM: Step 1: Sign in to the Azure portal. Step 2: Navigate to "Virtual Machines" and click on "Create" > "Azure Virtual Machine." Step 3: Configure the basic settings: choose the subscription, resource group, VM name, region, and image (OS). Step 4: Select the size of the VM based on your performance and pricing requirements. Step 5: Configure administrative account settings and inbound port rules. Step 6: Review and create the VM. Azure will start provisioning your VM. b. Configuring VM Networking: Set up virtual networks, subnets, and public IP addresses. Configure Network Security Groups (NSGs) to control inbound and outbound traffic. 2. Managing Azure VMs a. Monitoring and Maintenance: Azure Monitor: Use Azure Monitor to track performance metrics and set up alerts for CPU, memory, and network usage. Azure Backup: Implement Azure Backup to ensure your VMs and data are protected and can be restored in case of failure. Updates and Patches: Regularly update your VMs with the latest security patches and updates. b. Scaling and Availability: Scaling: Use VM Scale Sets to automatically increase or decrease the number of VMs based on demand. Availability Sets: Group VMs into availability sets to ensure that your application remains available during planned or unplanned maintenance. c. Security Best Practices: Identity and Access Management: Use Azure Active Directory (AAD) to manage identities and control access to your VMs. Encryption: Enable Azure Disk Encryption for enhanced security of your VM disks. Endpoint Protection: Install and configure endpoint protection solutions to safeguard your VMs from malware and other threats. 3. Optimizing Costs Reserved Instances: Save up to 72% over pay-as-you-go pricing by committing to a one- or three-year term. Spot VMs: Take advantage of unused Azure capacity at significant discounts for workloads that can tolerate interruptions. Conclusion Azure Virtual Machines offer a versatile and scalable solution for a wide range of computing needs. From development and testing to running production workloads, Azure VMs provide the flexibility and control you need to manage your cloud infrastructure effectively. Have you tried setting up Azure VMs? Share your experiences and tips below! #Azure #CloudComputing #VirtualMachines #TechTips #AzureVMs

Google Compute Engine (GCE) is IaaS platform. GCE offers VM instances for running workloads on Google's infrastructure. It enables users to use VMs in the cloud as server rather than purchasing and maintaining actual servers. Users can setup and run VM instances in GCE. Each VM consists of a OS system and set of virtualized hardware resources, including CPU, memory, storage, and network interfaces. You do not need to buy or invest in pricey hardware; instead, you can rent computers as needed. These virtual machines function similarly to traditional computers, allowing users to run applications, host websites, store data, and perform various computing tasks in the cloud. What is the best part? You pay only for what you use Key Components of GCE 👉Machine Types: Hardware on instance General Purpose: Balanced CPU and memory for web apps and databases Memory Optimized: For data-intensive tasks Compute Optimized: Compute-intensive workloads Accelerator Optimized: Graphic-intensive tasks Storage Optimized: High storage capacity for data-heavy applications. Custom Machine Types: Users can select the number of vCPUs and memory, provided they are within Google’s set limits 👉Images: Images contain OS and Software installed on VM Public images: Google provides OSs like Debian, Windows Server, etc Custom images: Users can create custom images to customize their VMs 👉Boot disk Each instance requires a disk to boot from. Select an image or snapshot to create a new Boot Disk 👉Disk & Storage GCE offers various storage options, including persistent disks and local SSDs. Persistent disks provide durable block storage that persists independently of VMs, allowing for data persistence and replication 👉Networking & Firewall Networking plays a crucial role in GCE, facilitating communication between VM instances and external resources Users can configure firewall rules, VPNs, and load balancers to control network traffic and enhance security 👉Sole Tenant Nodes Host on which VM is created might be shared by multiple projects. In certain scenarios you might want dedicated hardware having VMs of your enterprise only. VMs are multi-tenant by default Use sole-tenant nodes to keep your VMs physically separated from VMs in other projects, or to group your VMs together on the same host hardware Benefits of GCE 👉Scalability: Allows to scale compute resources vertically or horizontally based on demand 👉Customization: Flexibility to customize VMs to meet specific requirements 👉Security: GCE provides robust security features, including IAM and network firewall controls As we've explored, GCE offers a versatile platform for managing VMs. From pre-configured machine types to custom configs, persistent disks, and networking, GCE empowers you to build, scale, and secure your applications with ease. 🚀Stay tuned for more content on GCE Don't forget to follow 👩💼me for more insightful content on Google Cloud Platform! #ComputeEngine Nervescape Analytics LLP

Deploying Azure workloads to a private server on dedicated hardware involves a few steps. Here's a general guide to help you with the process: 1. Set Up a Dedicated Server: Ensure that you have dedicated hardware available for your private server. This could be a physical server located in your own data center or a server hosted by a third-party provider. 2. Install a Virtualization Platform: To maximize resource utilization and flexibility, consider installing a virtualization platform on your dedicated server. Popular choices include Hyper-V, VMware, or KVM. 3. Set Up Virtual Machines (VMs): Create virtual machines on your dedicated server to host your Azure workloads. Each workload can run in a separate VM to provide isolation and ease of management. 4. Install Windows Server: If your Azure workloads require a Windows environment, install Windows Server on the virtual machines. Ensure that the version of Windows Server you install is compatible with the Azure services you plan to deploy. 5. Connect the VMs to Your Network: Configure network settings for your VMs, ensuring they can communicate with each other and any other necessary resources on your network. 6. Install Azure Stack (Optional): If you want to create a private Azure environment on your dedicated hardware, consider using Azure Stack. Azure Stack extends Azure services to your on-premises environment. Follow the installation and configuration guides provided by Microsoft. 7. Configure Storage: Set up storage for your VMs. This could be local storage on the dedicated server or a storage area network (SAN) for more advanced configurations. 8. Install Azure Services: Install and configure the specific Azure services required for your workloads. This might include Azure Virtual Machines, Azure Blob Storage (if using Azure Stack), Azure SQL Database (if needed), etc. 9. Networking: Ensure that your networking configuration is in line with Azure requirements. Consider using Azure ExpressRoute or VPN Gateway for secure connectivity between your on-premises environment and Azure. 10. Security Considerations: Implement security measures, such as firewalls, antivirus software, and regular security updates, to protect your dedicated hardware and Azure workloads. 11. Monitoring and Management: Set up monitoring tools to keep an eye on the health and performance of your Azure workloads. Use Azure tools like Azure Monitor and Azure Security Center, if applicable. 12. Testing: Before deploying production workloads, thoroughly test your setup to identify and address any issues. 13. Documentation: Document your deployment thoroughly, including network configurations, security settings, and deployment procedures, for future reference and troubleshooting. Always refer to the official Azure documentation for the specific services you are using, as details may change over time. Additionally, consider seeking professional assistance for complex deployments to ensure best practices are followed.

𝗢𝗿𝗮𝗰𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 Oracle is releasing a new cloud native service: Oracle Cloud Infrastructure (OCI) Secure Desktops. This exciting development allows customers to deploy Virtual Desktop Infrastructure (VDI) easily and quickly, right out of their OCI tenancies. OCI usage has expanded greatly. Organizations realize the value of keeping their data secure inside OCI. By implementing a zero-trust, security-first architecture, OCI Compute, Storage, and Networking services offer a trusted platform for deploying enterprise applications for global access. https://lnkd.in/esDfc6K2

Great illustration of AWS Network Architecture

Insights on the typical WAS architecture, illuminating the brilliance of its network design. This post delves into the core concepts driving efficient and robust network structures of AWS.

Solid breakdown of AWS network architecture! Thanks for the insights!

One picture is worth a thousand words - Typical AWS Network Architecture in one diagram.    Amazon Web Services (AWS) offers a comprehensive suite of networking services designed to provide businesses with secure, scalable, and highly available network infrastructure. AWS's network architecture components enable seamless connectivity between the internet, remote workers, corporate data centers, and within the AWS ecosystem itself.    🔹 VPC (Virtual Private Cloud)  At the heart of AWS's networking services is the Amazon VPC, which allows users to provision a logically isolated section of the AWS Cloud. Within this isolated environment, users can launch AWS resources in a virtual network that they define.    🔹 AZ (Availability Zone)  An AZ in AWS refers to one or more discrete data centers with redundant power, networking, and connectivity in an AWS Region.    Now let’s go through the network connectivity one by one:    1. Connect to the Internet - Internet Gateway (IGW)  An IGW serves as the doorway between your AWS VPC and the internet, facilitating bidirectional communication.    2. Remote Workers - Client VPN Endpoint  AWS offers a Client VPN service that enables remote workers to access AWS resources or an on-premises network securely over the internet. It provides a secure and easy-to-manage VPN solution.    3. Corporate Data Center Connection - Virtual Gateway (VGW)  A VGW is the VPN concentrator on the Amazon side of the Site-to-Site VPN connection between your network and your VPC.    4. VPC Peering  VPC Peering allows you to connect two VPCs, enabling you to route traffic between them using private IPv4 or IPv6 addresses.    5. Transit Gateway  AWS Transit Gateway acts as a network transit hub, enabling you to connect multiple VPCs, VPNs, and AWS accounts together.    6. VPC Endpoint (Gateway)  A VPC Endpoint (Gateway type) allows you to privately connect your VPC to supported AWS services and VPC endpoint services powered by PrivateLink without requiring an internet gateway, VPN.  7. VPC Endpoint (Interface)    An Interface VPC Endpoint (powered by AWS PrivateLink) enables private connections between your VPC and supported AWS services, other VPCs, or AWS Marketplace services, without requiring an IGW, VGW, or NAT device.    8. SaaS Private Link Connection  AWS PrivateLink provides private connectivity between VPCs and services hosted on AWS or on-premises, ideal for accessing SaaS applications securely. –  Subscribe to our weekly newsletter to get a Free System Design PDF (158 pages): https://bit.ly/3KCnWXq #systemdesign #coding #interviewtips .