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  3. What Is a Router? | How Does a Router Work?

What Is a Router? | How Does a Router Work?

  • By Gcore
  • July 25, 2023
  • 12 min read
What Is a Router? | How Does a Router Work?

Whether you’re at home or the office, your router plays a critical role in providing essential internet connectivity needed for work, entertainment, and communication. When issues arise or it’s time for an upgrade, it can be daunting to know where to begin. In this article, we’ll help you gain a comprehensive understanding of your router. You will discover how to avoid and resolve frustrating network issues, sluggish internet speeds, and security vulnerabilities, and choose the right router for your needs.

What Is a Router?

A router is a central hub that enables the seamless sharing of resources—like servers, printers, networks, and internet connections—between multiple devices. Routers play a vital role in efficiently managing the transfer of data between devices within a local network and across different networks.

Consider the router you might have in your apartment or home. It connects your devices, like your laptop or smartphone, to the internet, thus allowing you to browse websites, stream videos, and download files. Without it, your devices would not be able to communicate with the broader internet.

In an office environment, a router’s role becomes even more critical. In addition to providing internet access to multiple devices, a router can also facilitate the sharing of resources, such as servers and printers. Imagine you’re at your office desk, and you’ve just finished a report that you need to print. When you hit print on your computer, it’s the router that makes a pathway for your file to travel from your computer to the printer in the network, ensuring that your file reaches the correct destination and is printed out as you intended.

What Is a Router Used For?

A router facilitates data transfer between devices or can forward data to another router. Routers connect devices on a local network, allow them to communicate and transfer data. They enable devices to access the internet or external networks via a single connection point. Routers also allow connection and exchange of data between networks in different geographical locations. For example, a router can connect a regional or remote office to the head office.

How devices physically connect to a router

In addition to data transfer between networks, routers can perform other functions, which are indispensable tools for network management, security, and resource sharing.

  • DHCP server: A router often includes an integrated DHCP server, which can be enabled to automatically assign and manage IP addresses for devices joining the network. This streamlines the process of connecting new devices and ensures efficient allocation of IP addresses within the network.
  • Firewall protection: The majority of routers are equipped with inbuilt firewalls, serving as a robust defense against malware and other threats. These firewalls safeguard the network and its connected devices from unauthorized access and malicious activities.
  • VPN services: Some routers have the capability to support virtual private network (VPN) connections. By enabling VPN services on the router, users can access secure, private connections without the need to install VPN applications on individual devices. This enhances privacy and security for data transmissions across the network.
  • File server: Some advanced routers, such as the Linksys E3200 and E4200, are equipped with a USB port that supports the connection of external drives. This feature effectively transforms the router into a file server, enabling shared access to files and resources within the network or over the internet.

How Does a Router Work?

Routers function as data traffic controllers, directing and forwarding data packets between devices or networks with precision and efficiency. Upon receiving a data packet, the router identifies the destination IP address from its header and consults its routing table—a comprehensive list of paths to various network destinations—to determine the most efficient route for data transfer.

By evaluating factors like speed, reliability, and network congestion, the router ensures that the data packet is forwarded through the best available path. This intelligent decision-making process enables the router to optimize the data transfer process, resulting in swift and accurate delivery to the intended recipient across the interconnected network landscape.

How to Set Up a Router

Setting up a router is typically a straightforward process, especially with the user-friendly apps or web-based dashboards provided by most manufacturers for home or small office routers. However, for larger networks and commercial routers, advanced networking skills may be required. Though specific steps may differ between routers, the following basic steps apply to most models:

  1. Gather information. Determine the default IP address, username, and password for your router. The information often is available on a sticker under the device, in a manual, or on the manufacturer’s website.
  2. Connect the router. Connect the computer’s LAN port to the router’s WAN port using an Ethernet cable. Note that most WAN ports on a router have a different color from the LAN ports.
  3. IP address configuration. If the router’s DHCP server is enabled, it will automatically assign a unique IP address to your computer. Otherwise, manually configure your computer with an IP address on the same network. For example, if the router’s IP is 198.168.1.1, assign your computer 192.168.1.2.
  4. Access router settings. Open a web browser and type the router’s IP address in the address bar. Then, enter the provided username and password. For example, for a Linksys E1200 router, use 192.168.1.1 as the IP address, and “admin” for both the username and password.
  5. Configure router settings. Navigate to the Administration page and modify the LAN IP, admin username, and password. Download and update the router’s firmware for optimal performance.
  6. Wireless network setup. On the Wireless page, customize the name of the wireless network or service set identifier (SSID), and enable encryption such as WPA2-PSK. Ensure you create a strong and unique Wi-Fi password.
  7. Customization. Explore other pages to tailor the router’s settings to your specific requirements, such as port forwarding, quality of service (QoS,) and parental controls.
  8. Save settings. After making the necessary adjustments, save your settings. This may cause the router to restart in order to apply the changes.

Key Components, Features, and Capabilities of Routers

Routers are smart devices, equipped with components including a CPU, memory, storage, and interface ports, enabling them to manage network traffic efficiently and perform logical functions.

  • CPU: The central processing unit executes and processes router commands. Its speed dictates how quickly the router processes commands.
  • Read-only memory (ROM): This storage contains the power-on self-test (POST) script, crucial for router startup or restart. It also contains password recovery software and retains its content even after power loss or restart.
  • RAM: The random-access memory provides temporary storage for the files running on a router. Unlike the ROM, the RAM loses its content when the router loses power or restarts.
  • Flash memory: The memory stores the router’s operating system and other files. Flash memory retains its content even after powering off the router, and allows for easy replacement and updating of files.
  • Ports: Routers feature various ports to connect to different networks and devices. Commonly, routers have at least one WAN port for connecting to a modem or ISP, as well as LAN ports for local area network connections. Wired routers may have multiple LAN ports, while most wireless routers have four ports. Some routers also have dual WAN ports, allowing for backup connections via USB wireless modems or Ethernet in case of failure.
  • Quality of Service (QoS): QoS is a crucial control mechanism that allows users to prioritize critical applications by dedicating adequate bandwidth. Doing so prevents performance degradation resulting from other network activities. For instance, with QoS, you can ensure that video calls or online games maintain stable connections, even when other users engage in bandwidth-intensive tasks like streaming media.
  • Firewall and VPN features: Some routers come with built-in firewall and VPN capabilities, providing an extra layer of protection for devices on the local network. This eliminates the need to install firewall hardware or VPN apps on individual devices, streamlining security measures for the entire network.

Router Operating System

The router operating system (OS) manages and controls router resources and processes. It is loaded during router startup and remains operational until the device is powered down. The OS plays several key roles, including executing programs, controlling input/output operations, allocating resources, and managing file systems. Most commercial and enterprise-grade routers run on the vendor’s proprietary operating systems.

In addition to vendor-specific OS options, there are generic, open-source, and premium router operating systems available. These versatile alternatives can be deployed across several brands of small office/home office (SOHO) Wi-Fi devices or x86 computer-based routers.

Popular router operating systems include:

  • Cisco IOS: This is a monolithic router operating system where all files run on a single image, and the processes share the same memory. However, one drawback of this approach is that if one service fails, it may lead to a system crash, and a bug in one process can impact other processes. Additionally, introducing new features or services may require upgrading the entire IOS image.
  • Jupiter JUNOS: This modular OS is based on FreeBSD, with processes running as separate modules in protected memory spaces. Unlike monolithic OS designs, the modular approach ensures that a bug in one process will not affect the OS. In addition, adding new features can be accomplished without a full upgrade.
  • Cisco IOS XR7: This modular-based OS overcomes the limitations of the monolithic IOS by providing a simple, flexible design that is easy to program. The Cisco IOS XR7 offers faster boot times, consumes less memory, and supports both access-level and core devices.

Router Protocols

Routing protocols serve as the rules and algorithms that routers use to determine the optimal path for reaching a destination. These protocols play a critical role in how routers identify one another and how data reaches its destination across a network. However, the routing protocols themselves do not move the information; instead, they update the routing table to facilitate efficient router communication.

Depending on the specific application and network requirements, a router may implement one or more routing protocols.

  • Routing Information Protocol (RIP): RIP is designed to facilitate information sharing among routers when moving data across a group of LANs. It imposes a maximum limit of 15 hops, which can restrict its effectiveness in supporting larger networks.
  • Interior Gateway Routing Protocol (IGRP): IGRP defines the process of exchanging routing information between gateways or edge routers within an independent network. Other network protocols can then use this information to establish how to route traffic effectively.
  • Open Shortest Path First (OSPF): OSPF is a highly scalable protocol that dynamically calculates the best routes for data packets as they move through interconnected networks. This makes it particularly suitable for large, complex networks.
  • Border Gateway Protocol (BGP): BGP is responsible for routing packets on the internet by facilitating the exchange of information between edge routers. Internet service providers (ISPs) use BGP to share routing information between different networks, ensuring network stability by rapidly switching to alternative network connections if the current one fails before packets reach their destination.

Routing Table: Static and Dynamic Routing

The routing table plays a crucial role in determining the best routes to all destinations within a network. When a router forwards data, it consults the routing table to determine the optimal path to the intended destination. Routing table information can be populated in two ways: through manual entry (static routing) or automatic updates (dynamic routing.)

Static Routing

In static routing, the paths between two routers are manually configured and cannot be updated automatically. If there are changes on the network side, the routing table must be manually updated to reflect the new paths. Static routing offers enhanced security, simplicity in design, and ease of implementation. It is ideal for smaller and less complex networks where changes occur infrequently.

Dynamic Routing

Conversely, dynamic routing automatically updates the routing table, adapting to changes in the network. When a change occurs, like a failure or new connection, the affected routers exchange information, and algorithms are used to calculate new routing paths. The routing table is then updated accordingly. Dynamic routing is particularly suitable for larger and more complex networks where frequent changes occur. However, due to the automatic updates and potential exposure to network changes, dynamic routing is considered to be less secure than static routing.

Router Bands: Single, Dual, and Tri-Band

Wireless routers come in a range of configurations, including single, dual, or tri-band models, each offering unique advantages to meet network needs. The number of bands in a router directly impacts its performance, flexibility, and ability to handle multiple devices simultaneously.

  • Single-band router: This type of router operates on a single 2.4 GHz band and is suitable for smaller networks with fewer than ten devices. While it provides basic connectivity, its limited bandwidth may lead to congestion and interference, especially in areas with numerous Wi-Fi networks.
  • Dual-band router: Dual-band routers offer both a 2.4 GHz and a 5.0 GHz band. The presence of two bands allows for improved performance compared to single-band routers, accommodating more devices and reducing network congestion. Older devices can connect to the 2.4 GHz channel, while newer and faster devices utilize the 5.0 GHz channel, mitigating interference and ensuring smoother data transmission.
  • Tri-band router: A tri-band router boasts one 2.4 GHz band and two 5.0 GHz bands, making it ideal for power users and more demanding network environments. With the additional band, it can support a higher number of devices without compromising network performance or speed. Moreover, users have the option to dedicate a band to specific devices, further minimizing interference and optimizing performance.

Selecting the appropriate type of router depends on factors like the size and location of the network, the number and compatibility of the devices, and the desired level of performance. While tri-band routers provide the highest performance and flexibility, they may be costlier and unnecessary for smaller networks or those with older devices primarily running on the 2.4 GHz band. For most applications, a dual-band router strikes a balance between performance and affordability, catering to the needs of the majority of users.

Main Types of Routers

Different types of routers are each optimized for a particular application and location. Some can only support home or small office networks. High-performance, commercial routers can forward several gigabytes of data per second and are suitable for data centers and other high-traffic applications. Here are some of the most common router types:

  • Core routers: Core routers are designed to deliver maximum bandwidth, connecting multiple routers and switches within large networks. They are used by cloud providers, high-traffic communication service providers, and organizations with extensive networks and multiple locations. Core routers operate within the organization and do not connect to external networks.
  • Edge routers: Positioned at the edge of the network, edge routers act as gateways, connecting the core router to external networks. They are high-bandwidth devices supporting many end-user devices.
  • Mesh router: Mesh routers offer improved wireless coverage by deploying multiple Wi-Fi transmitters throughout an area. They work as a single network, allowing seamless expansion and enhanced coverage.
  • Virtual router: Virtual routers are software-defined and operate via the cloud, providing similar functionality to physical devices. Virtual routers offer low entry costs, easy scalability, flexibility, and reduced local network hardware management, making them ideal for large organizations with complex network requirements.
  • Wired routers: Wired routers use Ethernet or fiber cables to connect devices to the internet, local or external networks. They feature WAN ports and several LAN ports to connect servers, computers, and network switches, expanding the local area network.
  • Wireless routers: Wireless routers use wireless radio signals to connect compatible devices to the local area network or the internet. They typically have WAN and LAN ports, along with a wireless radio, enabling devices to access the internet and local and external networks.
  • Distribution routers: Distribution routers receive data from edge routers through physical cables and distribute it to end users via Wi-Fi connections. The router also comes with additional Ethernet ports to connect additional routers, switches, or user devices physically.
  • VPN router: VPN routers provide hardware-level protection for all devices on the local network, ensuring enhanced privacy and security for data transmission.

Wired vs. Wireless Routers

Wired and wireless routers have distinct characteristics in terms of device connectivity and transfer data. The key differences lie in how devices connect to them and the means through which data is transmitted.

Wired routers are equipped with physical WAN and LAN ports, and devices can connect to them using Ethernet cables. These routers require devices to have a wired connection for data transfer. They are typically more robust and suitable for larger networks, offering reliable and stable connections. Due to their design and capabilities, wired routers are often more expensive and physically larger than their wireless counterparts.

In contrast, wireless routers not only have WAN and LAN ports for wired connections but also include a wireless adapter that allows devices to connect wirelessly via radio signals. This wireless capability provides greater flexibility and convenience, enabling devices to connect without the need for physical cables. Wireless routers are often smaller, more affordable, and commonly used in home and small office networks, where wired connections may not be feasible or convenient.

Most wireless routers are small, cheap, and designed for home and small office networks. They support both wired and wireless connections. Wired routers are large, expensive devices that can support large networks.

Differences Between Routers and Modems

Routers and modems serve distinct functions and play different roles in network connectivity.

Connectivity

A router connects multiple devices within a network, managing the flow of data between different networks or multiple devices in a local area network. On the other hand, a modem connects devices or a local network to external networks, including the Internet.

Internet Access

While a modem connects a single device or local network to the internet or external network, a router allows multiple devices to access the internet using a single modem. A router distributes the internet signal to all connected devices within its network, enabling simultaneous access.

Data Conversion

A modem functions as a data converter, converting digital signals from the router into analog signals before sending them to the internet. Similarly, it converts analog signals from the internet into digital form before forwarding them to the router. In contrast, a router does not provide any conversion; it solely focuses on managing data flow and directing network traffic.

Router Security Vulnerabilities and Solutions

Routers are prime targets for cybercrime due to their significant role in network connectivity and data flow. Default or weak passwords, unpatched firmware, lack of encryption, misconfigurations, and other security flaws in routers are vulnerabilities exploited by criminals to gain unauthorized access to a computer network.

Once compromised, attackers can install malware on computers, reroute traffic, steal data, or disable the router and the entire network. In early 2022, a security researcher exploited vulnerabilities in routers and servers to disconnect North Korea from the internet.

How to Reduce Router Security Risks

Understanding router vulnerabilities helps address them before adding the router to your network. To reduce router security risks and enhance network protections, consider implementing the following measures:

  • Check vendor security. Before adding a router to your network, research the vendor’s track record in addressing security vulnerabilities. Choose a vendor known for promptly releasing updates and patches to address known issues.
  • Use strong passwords. Create strong and unique administrator and Wi-Fi passwords. Change the default IP address, username, and password to further secure router access.
  • Enable strong encryption. Utilize strong encryption to secure data transmitted through the router and prevent unauthorized network access. Choose the highest standard of encryption supported by your wireless router.
  • Update router firmware. Regularly update router firmware to improve security, connectivity, and performance. Manually update the firmware during the initial setup and then enable automatic updates to keep the router up-to-date.
  • Unique SSID. Use a unique, nondescript SSID for your wireless network to avoid identifying your organization and personal information. This prevents attackers from associating you with the network.

Conclusion

Routers play a crucial role in modern networks, enabling seamless communication and resource sharing. Whether for individual users or large organizations, routers provide the backbone for internet connectivity and data transfer. Given the diverse range of routers available, it is essential to carefully consider your specific needs before making a purchase. By understanding the various features, capabilities, and potential associated security risks, you can select the most suitable router for your network requirements and take necessary precautions to minimize security vulnerabilities.

Gcore’s Virtual Private Cloud utilizes virtualized routers to create private networks within our cloud and public-private interconnections with the user’s other infrastructure. You get outstanding connectivity, an isolated and protected network for your servers, and flexible subnet management using private address ranges. Discover the powerful routers that Gcore uses in our blog post.

Get started with VP Cloud for free.

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Even with optimized images and code, lazy loading can further enhance site speed through a process called “timing.”Image timing uses the HTML loading attribute in an image tag or frameworks like Angular or React to load images in response to user actions. The browser only requests images when the user interacts with specific features, triggering the download.JavaScript timing controls when certain code loads. If JavaScript doesn’t need to run until the entire page has rendered, use the defer attribute to delay its execution. If JavaScript can load at any time without affecting functionality, load it asynchronously with the async attribute.6. Heavy or Redundant External Widgets and PluginsWidgets and plugins are placed in designated frontend and backend locations to extend website functionality. Examples include Google review widgets that publish product reviews on your website and Facebook plugins that connect your website to your Facebook Page. As your website evolves, more plugins are typically installed, and sometimes website admins forget to remove those that are no longer required.Over time, heavy and unused plugins can consume substantial resources, slowing down your website unnecessarily. Widgets may also contain heavy HTML, CSS, or JavaScript files that hinder web performance.Remove unnecessary plugins and widgets, particularly those that make cURL calls, HTTP requests, or generate excessive database queries. Avoid plugins that load heavy scripts and styles or come from unreliable sources, as they may contain malicious code and degrade website performance.7. Network IssuesYour server’s physical location significantly impacts site speed for end users. For example, if your server is in the UK and your users are in China, they’ll experience high latency due to the distance and DNS resolution time. The greater the distance between the server and the user, the more network hops are required, increasing latency and slowing down site load times.DNS resolution plays a crucial role in this process. Your authoritative DNS provider resolves your domain name to your IP address. If the provider’s server is too far from the user, DNS resolution will be slow, giving visitors a poor first impression.To optimize content delivery and reduce latency, consider integrating a content delivery network (CDN) with your server-side code. A CDN stores copies of your static assets (e.g., container images, JavaScript, CSS, and HTML files) on geographically distributed servers. This distribution ensures that users can access your content from a server closer to their location, significantly improving site speed and performance.8. No CachingWithout caching, your website has to fetch data from the origin server every time a user requests. This increases the load time because the origin server is another physical hop that data has to travel.Caching helps solve this problem by serving pre-saved copies of your website. Copies of your web files are stored on distributed CDN servers, meaning they’re available physically closer to website viewers, resulting in quicker load times.An additional type of caching, DNS caching, temporarily stores DNS records in DNS resolvers. This allows for faster domain name resolution and accelerates the initial connection to a website.9. Excessive RedirectsWebsite redirects send users from one URL to another, often resulting in increased HTTP requests to servers. These additional requests can potentially crash servers or cause resource consumption issues. To prevent this, use tools like Screaming Frog to scan your website for redirects and reduce them to only those that are absolutely necessary. Additionally, limit each redirect to making no more than one request for a .css file and one for a .js file.10. Lack of Mobile OptimizationForgetting to optimize for mobile can harm your website’s performance. Mobile-first websites optimize for speed and UX. Better UX leads to happier customers and increased sales.Optimizing for mobile starts with understanding the CPU, bandwidth, and memory limitations of mobile devices compared to desktops. Sites with excessively heavy files will load slowly on mobiles. Writing mobile-first code, using mobile devices or emulators for building and testing, and enhancing UX for various mobile device types—such as those with larger screens or higher capacity—can go a long way to optimizing for mobile.How Can Gcore Help Prevent These Web Performance Mistakes?If you’re unsure where to start in correcting or preventing web performance mistakes, don’t worry—you don’t have to do it alone. Gcore offers a comprehensive suite of solutions designed to enhance your web performance and deliver the best user experience for your visitors:Powerful VMs: Fast web hosting with a wide range of virtual machines.Managed DNS: Hosting your DNS zones and ensuring quick DNS resolution with our fast Managed DNS.CDN: Accelerate both static and dynamic components of your website for global audiences.With robust infrastructure from Gcore, you can ensure optimal performance and a seamless experience for all your web visitors. Keep your website infrastructure in one place for a simplified website management experience.Need help getting started? Contact us for a personalized consultation and discover how Gcore can supercharge your website performance.Get in touch to boost your website

How to Choose Between Bare Metal GPUs and Virtual GPUs for AI Workloads

Choosing the right GPU type for your AI project can make a huge difference in cost and business outcomes. The first consideration is often whether you need a bare metal or virtual GPU. With a bare metal GPU, you get a physical server with an entire GPU chip (or chips) installed that is completely dedicated to the workloads you run on the server, whereas a virtual GPU means you share GPU resources with other virtual machines.Read on to discover the key differences between bare metal GPUs and virtual GPUs, including performance and scalability, to help you make an informed decision.The Difference Between Bare Metal and Virtual GPUsThe main difference between bare metal GPUs and virtual GPUs is how they use physical GPU resources. With a bare metal GPU, you get a physical server with an entire GPU chip (or chips) installed that is completely dedicated to the workloads you run on the server. There is no hypervisor layer between the operating system (OS) and the hardware, so applications use the GPU resources directly.With a virtual GPU, you get a virtual machine (VM) and uses one of two types of GPU virtualization, depending on your or a cloud provider’s capabilities:An entire, dedicated GPU used by a VM, also known as a passthrough GPUA shared GPU used by multiple VMs, also known as a vGPUAlthough a passthrough GPU VM gets the entire GPU, applications access it through the layers of a guest OS and hypervisor. Also, unlike a bare metal GPU instance, other critical VM resources that applications use, such as RAM, storage, and networking, are also virtualized.The difference between running applications with bare metal and virtual GPUsThese architectural features affect the following key aspects:Performance and latency: Applications running on a VM with a virtual GPU, especially vGPU, will have lower processing power and higher latency for the same GPU characteristics than those running on bare metal with a physical GPU.Cost: As a result of the above, bare metal GPUs are more expensive than virtual GPUs.Scalability: Virtual GPUs are easier to scale than bare metal GPUs because scaling the latter requires a new physical server. In contrast, a new GPU instance can be provisioned in the cloud in minutes or even seconds.Control over GPU hardware: This can be critical for certain configurations and optimizations. For example, when training massive deep learning models with a billion parameters, total control means the ability to optimize performance optimization—and that can have a big impact on training efficiency for massive datasets.Resource utilization: GPU virtualization can lead to underutilization if the tasks being performed don’t need the full power of the GPU, resulting in wasted resources.Below is a table summarizing the benefits and drawbacks of each approach: Bare metal GPUVirtual GPUPassthrough GPUvGPUBenefitsDedicated GPU resourcesHigh performance for demanding AI workloadsLower costSimple scalabilitySuitable for occasional or variable workloadsLowest costSimple scalabilitySuitable for occasional or variable workloadsDrawbacksHigh cost compared to virtual GPUsLess flexible and scalable than virtual GPUsLow performanceNot suitable for demanding AI workloadsLowest performanceNot suitable for demanding AI workloadsShould You Use Bare Metal or Virtual GPUs?Bare metal GPUs and virtual GPUs are typically used for different types of workloads. Your choice will depend on what AI tasks you’re looking to perform.Bare metal GPUs are better suited for compute-intensive AI workloads that require maximum performance and speed, such as training large language models. They are also a good choice for workloads that must run 24/7 without interruption, such as some production AI inference services. Finally, bare metal GPUs are preferred for real-time AI tasks, such as robotic surgery or high-frequency trading analytics.Virtual GPUs are a more suitable choice for the early stages of AI/ML and iteration on AI models, where flexibility and cost-effectiveness are more important than top performance. Workloads with variable or unpredictable resource requirements can also run on this type of GPU, such as training and fine-tuning small models or AI inference tasks that are not sensitive to latency and performance. Virtual GPUs are also great for occasional, short-term, and collaborative AI/ML projects that don’t require dedicated hardware—for example, an academic collaboration that includes multiple institutions.To choose the right type of GPU, consider these three factors:Performance requirements. Is the raw GPU speed critical for your AI workloads? If so, bare metal GPUs are a superior choice.Scalability and flexibility. Do you need GPUs that can easily scale up and down to handle dynamic workloads? If yes, opt for virtual GPUs.Budget. Depending on the cloud provider, bare metal GPU servers can be more expensive than virtual GPU instances. Virtual GPUs typically offer more flexible pricing, which may be appropriate for occasional or variable workloads.Your final choice between bare metal GPUs and virtual GPUs depends on the specific requirements of the AI/ML project, including performance needs, scalability requirements, workload types, and budget constraints. Evaluating these factors can help determine the most appropriate GPU option.Choose Gcore for Best-in-Class AI GPUsGcore offers bare metal servers with NVIDIA H100, A100, and L40S GPUs. Using the 3.2 Tbps InfiniBand interface, you can combine H100 or A100 servers into scalable GPU clusters for training and tuning massive ML models or for high-performance computing (HPC).If you are looking for a scalable and low-latency solution for global AI inference, explore Gcore Inference at the Edge. It especially benefits latency-sensitive, real-time applications, such as generative AI and object recognition.Discover Gcore bare metal GPUs

How to Configure Grafana for Visualizing Kubernetes (K8s) Cluster Monitoring

Kubernetes monitoring allows you to observe your workloads and cluster resources, spot issues and failures, and efficiently manage pods and other resources. Cluster admins should prioritize tracking the performance and stability of clusters in these environments. One popular tool that can help you visualize Kubernetes monitoring is Grafana. This monitoring solution lets you display K8s metrics through interactive dashboards and real-time alerts. It seamlessly integrates with Prometheus and other data sources, providing valuable insights.Gcore Managed Kubernetes simplifies the Grafana setup process by providing a managed service that includes tools like Grafana. In this article, we’ll explain how to set up and configure Grafana to monitor Kubernetes, its key metrics, and dashboards.Setting Up Grafana for Effective Kubernetes MonitoringTo begin monitoring Kubernetes with Grafana, first, check that you have all the requirements in place: a functioning Kubernetes cluster, the Helm package manager installed, and kubectl set up to communicate with your cluster.Install Grafana in a Kubernetes Cluster. Start by adding the Grafana Helm repository.helm repo add grafana https://grafana.github.io/helm-chartshelm repo updateNext, install Grafana using Helm. This command deploys Grafana into your Kubernetes cluster:helm install grafana grafana/grafanaNow it’s time to configure Grafana for the Kubernetes environment. After installation, retrieve the admin password by using the command below:kubectl get secret --namespace default grafana -o jsonpath="{.data.admin-password}" | base64 --decode ; echoThen access the Grafana UI by port-forwarding:kubectl port-forward svc/grafana 3000:80Open your web browser and navigate to http://localhost:3000. Log in using the default username admin and the password you retrieved. Once logged in, you can configure Grafana to monitor your Kubernetes environment by adding data sources such as Prometheus and creating custom dashboards.You’ve now successfully set up Grafana for Kubernetes monitoring!Key Metrics for Kubernetes MonitoringUnderstanding metrics for Kubernetes monitoring allows you to visualize your cluster’s reliability. Key metrics are the following:Node resources. Track CPU and memory usage, disk utilization, and network bandwidth to understand resource consumption and identify bottlenecks.Cluster metrics. Monitor the number of nodes to understand resource billing and overall cluster usage, and track running pods to determine node capacity and identify failures.Pod metrics. Measure how pods are managed and deployed, including instances and deployment status, and monitor container metrics like CPU, memory, and network usage.State metrics. Keep an eye on persistent volumes, disk pressure, crash loops, and job success rates to ensure proper resource management and application stability.Container metrics. Track container CPU and memory usage relative to pod limits, and monitor network data to detect bandwidth issues.Application metrics. Measure application availability, performance, and business-specific metrics to maintain optimal user experience and operational health.Setting Up Grafana DashboardsYou can opt to design and tailor Grafana dashboards to monitor your Kubernetes cluster. This will help you better understand your systems’ performance and overall well-being at a glance.Log into Grafana. Open your web browser, go to http://localhost:3000/, and log in with the default credentials (admin for both username and password), then change your password if/when prompted.Grafana—Log In to Start MonitoringAdd data source. Navigate to Configuration and select Data Sources. Click on Add Data Source and choose the appropriate data source, such as Prometheus.Create a dashboard. Go to Create > Dashboard, click Add New Panel, choose the panel type (e.g., Time series chart, Gauge, Table), and configure it with a PromQL query and visualization settings.Adding a New Panel in Grafana DashboardOrganize and save the dashboard. Arrange panels by clicking Add Panel > Add Row and dragging panels into the desired rows. To save the dashboard, click the save icon, name it, and confirm the save.Gcore Managed Kubernetes for Kubernetes MonitoringWhether you’re getting started with monitoring Kubernetes or you’re a seasoned pro, Gcore Managed Kubernetes offers significant advantages for businesses seeking efficient and reliable Kubernetes cluster monitoring and container management:Ease of integrating Grafana: The service seamlessly integrates with Grafana, enabling effortless visualization and monitoring of performance metrics via dashboards.Automated control: Gcore Managed Kubernetes simplifies the setup and monitoring process by using automation. This service conducts health checks on your nodes, automatically updating and restarting them when needed to keep performance at its best.Enhanced security and reliability: Gcore Managed Kubernetes guarantees the management of nodes by integrating features like automatic scaling and self-repairing systems to maintain optimal performance.Discover Gcore Managed Kubernetes, including automated scaling, one-click provisioning, and Grafana integration.

TCO Comparison: Self-Managed Kubernetes vs. Managed Kubernetes Provider

Calculating the total cost of ownership (TCO) for Kubernetes requires identifying all major expenses, including infrastructure costs, personnel costs, and potential cloud provider fees. With a clear picture of TCO, you can make a more informed decision when choosing between self-managed (self-hosted) Kubernetes and a managed Kubernetes provider. The TCOs of the two approaches are significantly different, and this article will show you exactly how and why.TCO Comparison SummaryThe table below shows the key aspects of the TCO comparison between self-managed Kubernetes and managed Kubernetes providers. It compares infrastructure expenses, including provider fees, and an engineer’s salary.For this comparison, we’ll assume that a company would need only one DevOps engineer for managed Kubernetes, whereas companies opting for self-hosted Kubernetes would need three. We’ll look at rented cloud VMs for self-hosted, and out-of-the-box K8s clusters for managed Kubernetes—two standard scenarios for a fair comparison. For both scenarios, the infrastructure costs shown in the table are the average when considering AWS, Azure, Google Cloud, and Gcore. InfrastructureEngineers’ salaryTotal annual costSelf-hosted Kubernetes$13,737.64$321,500$335,238Managed Kubernetes$6,157.8$107,167$113,325As you can see, the TCO of self-hosted Kubernetes is almost three times higher than that of managed Kubernetes. Let’s explore the reasons for this major cost discrepancy.Infrastructure Cost ComparisonKubernetes is a free software. But to run it, you have to rent or buy infrastructure, such as VMs or physical servers. The way you do so differs depending on whether you opt for self-hosted or managed Kubernetes. To understand infrastructure costs, we need to take a closer look at each method in turn and explore the components required.Self-hosted KubernetesIf you choose to run K8s independently, you’ll need to rent VMs for the Kubernetes master node (the control plane) and worker nodes. Let’s consider a production-grade cluster consisting of the following:3 VMs for the control plane, required for fault tolerance2 VMs for the worker nodesFor simplicity, we choose VMs with a configuration suitable for an average web project: 8 vCPU, 16 GB RAM, and 75 GB SSD.Here is the pricing* offered by four cloud providers for VMs available in the US:ProviderVM types and resourcesTotal annual cost of five VMsAWSc6g.2xlarge—8 vCPU, 16 GB RAM, 75 GB SSD$12,273.6AzureA8 v2 series—8 vCPU, 16 GB RAM, 64 GB SSD**$17,764.2Google CloudN1 series—8 vCPU, 16 GB RAM, 75 GB SSD$16,721.33Gcoreg1 standard series—8 vCPU, 16 GB RAM, 75 GB SSD$8,191.42Average$13,737.64* Prices are for on-demand VMs; no commitment; no VAT; ingress traffic is not included.** Azure only offers fixed volume sizes for built-in storage.Managed KubernetesWith managed K8s, you don’t have to worry about renting separate VMs and setting up the Kubernetes software. You choose the VM configurations for your worker nodes, and a provider prepares them for you. The result is an out-of-the-box Kubernetes cluster.Sometimes, you also have to consider fees for control plane management (fixed) and egress traffic (consumption-based). Providers like AWS, Google Cloud, and Azure charge for this, while others—like Gcore—don’t.Here are the prices* offered by four cloud providers for similar cluster configurations in the US:ProviderControl plane managementCluster of two worker nodesTotal annual costConfigurationAnnual costAmazon EKS$8768 vCPU, 16 GB RAM, 75 GB SSD$4,909.44$5,785.44AKS (Azure)$8768 vCPU, 16 GB RAM, 64 GB SSD**$7,048.08$7,924.08GKE (Google)$876X vCPUs, X GB RAM$6,832.08$7,708.08Gcore Managed Kubernetes08 vCPU, 16 GB RAM, 75 GB SSD$3,213.6$3,213.6Average$6,157.8* Prices are for on-demand VMs; no commitment; no VAT; ingress traffic is not included.** Azure only offers fixed volume sizes for built-in storage.Engineer Cost ComparisonTo maintain a production-grade cluster for an average web project, you need:For a self-hosted K8s cluster—3 DevOps engineersFor a managed K8s cluster—1 DevOps engineerTo learn more about the technical reasons behind these calculations, read our article on the difference between managed and self-managed Kubernetes.According to Glassdoor, the median salary for a DevOps engineer is as follows:In the US: $140,000In Germany: €69,000 (or $74,333, the highest in Europe) DevOps salary in the USDevOps salary in GermanyAverage annual salarySelf-hosted Kubernetes (3 engineers)$420,000$222,999$321,500Managed Kubernetes (1 engineer)$140,000$74,333$107,167Final ComparisonHere is the final TCO comparison between self-managed Kubernetes and managed Kubernetes providers:ProvidersInfrastructureEngineers’ salaryTotal annual costBy providerAverageSelf-hosted KubernetesAWS$12,273.6$13,737.64$321,500$335,238Azure$17,764.2GCP$16,721.33Gcore$8,191.42Managed KubernetesAmazon EKS$5,785.44$6,157.8$107,167$113,325AKS (Azure)$7,924.08GKE (Google)$7,708.08Gcore Managed Kubernetes$3,213,6Summing UpPlease note that these approximate calculation probably aren’t exactly what you’ll experience. The actual numbers will depend on many factors, including:Size and complexity of your projectLocation where you hire engineers and deploy a K8s clusterChoice of providerHow you consume and scale computing resourcesHowever, the difference between the TCO of the two methods is relevant to what we got above: the total cost of ownership of self-managed Kubernetes is about three times higher than that of managed Kubernetes.The main reason is that Managed Kubernetes means a provider handles many of the most complex operations. This includes managing the underlying infrastructure and control plane, regular and security upgrades, monitoring, scaling the cluster, and, critical to production, high availability guaranteed by an SLA. With self-hosted K8s, you have to do that yourself, which means a larger infrastructure, larger team size, and higher salary costs.ConclusionUnderstanding the TCO difference between self-managed Kubernetes and a managed Kubernetes provider can help you choose a solution that is more suitable for your team and meets your budget. Kubernetes cost analysis can also help you identify areas for optimization, such as right-sizing your infrastructure or optimizing workloads for better resource utilization. However, the TCO isn’t the only aspect of choosing how to run Kubernetes: you should also consider things like the setup and maintenance responsibilities, as well as your project requirements.If you’re looking for reliable, high-performance, and scalable Kubernetes clusters, try Gcore Managed Kubernetes. We offer free cluster management with a 99.9% SLA, bare metal and GPU support for worker nodes, and free egress traffic.Explore Gcore Managed Kubernetes

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