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  3. What Are Managed Services? | How Do Managed Services Drive Business Growth?

What Are Managed Services? | How Do Managed Services Drive Business Growth?

  • By Gcore
  • July 6, 2023
  • 14 min read
What Are Managed Services? | How Do Managed Services Drive Business Growth?

Managed services (MS) refers to the outsourcing of tasks remotely to a third-party company known as managed service providers (MSPs.) For instance, when an e-commerce business experiences growth, its IT infrastructure can become more complex to meet the demands, requiring additional expertise and workforce. By having managed services, businesses can leverage this solution to effectively handle their daily operations, saving valuable resources that can be allocated towards expanding the company. By the end of this article, you’ll understand how managed services work and what to consider when selecting an MSP to take your business to greater heights.

What Are Managed Services?

Managed services means that an external provider takes charge of providing and managing specific IT services for clients. These managed services are typically governed by a service-level agreement (SLA,) which outlines the engagement’s scope, performance expectations, and terms.

The concept of managed services emerged due to the growing dependence of businesses on IT infrastructure in the late 1990s. As a result, there was a need for specialized knowledge in managing and supporting these IT systems. Managed service providers (MSPs) filled that gap and continue to do so.

Why Use Managed Services?

As a business owner, working with a managed service model allows you to delegate tasks and responsibilities to experienced professionals. By hiring an MSP, you can benefit from their specialized skills and resources, giving you peace of mind and allowing you to focus on other important aspects of your business, such as innovation. We will discuss the benefits of managed services in depth later in this article.

How to Set Up Managed Services

When providing managed services, the following is a typical set-up process.

  1. Assessment. The MSP conducts an initial assessment of the client’s IT environment, infrastructure, and requirements. This helps the MSP to understand the current state of the systems and identify areas that need improvement.
  2. Planning. Based on the assessment, the MSP develops a comprehensive plan tailored to the client’s specific needs. This plan outlines the services to be provided, the scope of work, and the associated costs.
  3. Implementation. Once the plan is approved, the MSP begins implementing the necessary changes and deploying the required technologies. This may involve setting up hardware and software, configuring networks, and establishing security measures.
  4. Monitoring and maintenance. After the implementation, the MSP continuously monitors the client’s systems, applications, and networks. Regular maintenance tasks, such as updates, backups, and patches, are performed to ensure optimal performance and security.
  5. Support and help desk. MSPs provide ongoing technical support to clients, often through a help desk or service desk. They handle user inquiries, troubleshoot problems, and resolve issues remotely or on site, depending on the severity.
  6. Reporting and analysis. MSPs give clients reports on IT system performance, including uptime, response times, and security incidents. This helps analyze trends, identify areas for improvement, and make strategic recommendations.

The delivery of managed services can happen either remotely, on site, or using a combination of the two, depending on the nature of the services and the client’s requirements. Many routine maintenance and support tasks can be performed remotely, allowing MSPs to efficiently manage multiple clients’ systems from their own facilities. However, certain situations may require on-site visits, such as hardware installations or troubleshooting complex issues that cannot be resolved remotely.

Types of Managed Services

There is no “one size fits all” solution in managed services. It means that there are different types of services available, and they can be customized to meet various needs related to IT infrastructure and operations. Some MSPs offer multiple of these types of services. Here are some common types of managed services available:

  • Network management. This involves monitoring and taking care of the client’s network infrastructure, which includes routers, switches, firewalls, and wireless access points. The end result is a stable, secure, and high-performing network.
  • Server and infrastructure management. Sever and infrastructure management refers to maintenance and assistance required to manage physical and virtual servers, along with essential infrastructure elements like storage, backups, and disaster recovery solutions.
  • Security management. Security management includes tasks such as identifying potential threats, managing vulnerabilities, detecting and preventing intrusions, responding to security incidents, and the overall management of security risks. This helps protect the client’s systems and data from potential dangers and unauthorized access.
  • Cloud management. This includes managing and optimizing cloud infrastructure, services, and applications, ensuring scalability, cost efficiency, and reliability in cloud environments such as public, private, or hybrid clouds.
  • Application management. Application management involves taking care of and assisting with particular applications or software used by the client, which includes setting them up, adjusting settings, keeping them up to date, and fixing any issues to make sure that all applications are available and work well.
  • Desktop and end-user support. This type of managed service provides technical support to end users, including help desk services, device management, software installation and updates, and user training and assistance.
  • IT consulting and strategy. Managed service providers may offer IT consulting services to assist clients in developing technology strategies, aligning IT with business goals, and making informed decisions about IT infrastructure, applications, and security.

Here are a few examples of different industries that benefit from using managed services, based on their specific needs and requirements:

Managed serviceIndustries that may benefit
Network managementTelecommunications, financial services, retail
Server and infrastructure managementHealthcare, education, manufacturing
Security managementBanking and finance, government, information technology
Cloud managementE-commerce, software development, media and entertainment
Application managementHealthcare, hospitality, logistics
Desktop and end-user supportEducation, professional services, non-profit organizations
IT consulting and strategyReal estate, construction, legal services

A growing variety of services are being offered by MSPs, particularly when it comes to software-based solutions like business applications. One example is the platform-as-a-service (PaaS) model, which is a type of cloud computing that gives developers a platform and environment to create apps. For instance, think of apps like Airbnb or Pinterest. These apps rely on the PaaS model, which is important for making these technologies accessible to more people.

Here are the patterns and growth rates of the different types of managed services that MSPs sell to the market in 2022:

CompTIA’s trends of managed services

As depicted in the graph, growing businesses need to depend on various managed services to achieve success amidst market challenges and competition. In addition, cybersecurity has gained in importance, prompting companies to allocate additional resources to safeguard their operations.

What Are the Benefits of Managed Services in Business?

Let’s now explore the ways in which managed services benefit businesses. The major benefit of MSPs is that they take care of your specialized technology applications’ day-to-day operations, allowing you and your team to concentrate on boosting revenue or sales. Let’s review some of the less obvious benefits of managed services.

  • Saves you money. Managed services help businesses reduce costs by eliminating the need to invest in expensive IT infrastructure, equipment, and personnel. Instead of hiring and training a large number of new employees, businesses can rely on the expertise, efficiency, and resources of the managed service provider (MSP) at a predictable, regular cost.
  • Increased productivity. By relying on an MSP to handle IT operations, rather than allocating resources to hire experts, businesses can dedicate more attention to areas of improvement, resulting in enhanced efficiency and productivity. The MSP’s expertise and experience in the field guarantees optimized IT operations and the prompt resolution of any issues that may arise.
  • Proactive support and monitoring. Managed services provide proactive monitoring of IT systems, identifying potential issues before they become major problems. This proactive approach minimizes downtime, enhances system reliability, and improves overall business performance.
  • Enhanced security. MSPs provide strong security measures to safeguard businesses against cyber threats. These measures include monitoring for potential threats, managing vulnerabilities, and responding to incidents. Regular updates, patches, and data backups are performed to ensure the safety and reliability of business data.
  • Scalability and flexibility. Managed services provide your business with the flexibility to scale your IT infrastructure and services based on changing business needs. Whether you are expanding or downsizing your operations, MSPs can quickly adjust resources to align with your requirements.
  • Improved focus on core business. By partnering with MSPs, your business can concentrate on its core competencies and strategic goals while having access to skilled experts. MSPs also handle data compliance and auditing, freeing up your valuable time to focus on driving innovation and customer satisfaction. This ultimately leads to business growth without worrying about the complexities of compliance.

Evidently, managed services offer businesses many benefits. Let’s now discuss specific use cases to determine if an MSP is something that you need for your business.

Use Cases of Managed Services

Managed services have a broad range of applications across diverse businesses, industries, and sectors. These services can be customized to meet the unique needs and requirements of your specific business, ensuring that the solution provided is tailored to enhance efficiency, security, and productivity. Let’s look at some common examples of use cases of managed services.

#1 Small and Medium-Sized Businesses (SMBs)

Small and medium-sized businesses (SMBs) can greatly benefit from managed services tailored to their specific needs. One key area where managed services can be advantageous is IT infrastructure management and support. SMBs often lack the in-house resources and expertise to manage their IT systems optimally, which can result in downtime and inefficiencies. By outsourcing IT infrastructure management to a managed services provider, SMBs can ensure reliable and efficient technology operations. The provider takes care of tasks such as server management, network monitoring, and software updates, allowing the SMB to focus on its core business activities.

Here are some examples of SMBs that can benefit from managed services:

  • Accounting firm. An MSP can handle the management of their servers, network, and software updates, ensuring that everything runs smoothly while also keeping their data secure and compliant with regulations.
  • Marketing agency. An MSP can manage a marketing agency’s cloud servers, data storage, and software deployments, allowing the agency to focus on their marketing campaigns and client services.
  • Law firm. Some beneficial managed services include threat monitoring, vulnerability management, and incident response services to protect the law firm’s sensitive client data and ensure compliance with data privacy regulations.
  • Healthcare clinic. An MSP can provide remote technical assistance to clinic staff, troubleshoot software and hardware issues, and ensure the smooth functioning of their healthcare information systems.
  • Retail store. Monitoring the network infrastructure, setting up firewalls and intrusion detection systems, and performing regular security audits to protect customer data and prevent cyber threats are some helpful managed services for retail stores.

The examples mentioned are just a few instances of the many small and medium-sized businesses (SMBs) that can benefit from using managed services. Services like IT infrastructure management, data backup and recovery, and help desk support are important for SMBs to operate more smoothly in competitive markets. Now, let’s explore another industry that can also benefit from these services: the healthcare industry.

#2 Healthcare Industry

The healthcare industry can greatly benefit from managed services that cater to its unique needs. These services provide crucial support in managing electronic health records, ensuring data security and compliance and maintaining the performance of medical devices and systems. Here are some key use cases of managed services in the healthcare industry:

  • Electronic health record (EHR) system management. An MSP provides secure storage and accessibility of patient information and efficient retrieval and updating of medical records.
  • Security and compliance services. An MSP ensures the safety of patient data by protecting it from cyber threats. Additionally, they make sure that the healthcare organization follows the necessary regulations, including ensuring patient privacy and confidentiality so that sensitive information remains protected.
  • Remote monitoring and maintenance of medical devices and systems. Medical devices are continuously monitored to make sure they are performing at their best. Regular maintenance is performed promptly to avoid any disruptions. This ensures that critical healthcare systems are always available and reliable for use.

There has been an increase of 26.6% in downloads of health applications and prescription apps in the United States in the first half of 2021. This surge in downloads is attributed to users seeking convenient ways to order repeat prescriptions through their mobile devices in the wake of the COVID-19 pandemic. When it comes to health apps, managed services play a vital role in providing advantages such as patient data protection, regulatory compliance, and improved healthcare system performance.

#3 Financial Services

In the financial services industry, it is common for companies to face numerous cybersecurity threats. A security breach can result in significant losses not only for the company but also for the affected clients, as it can lead to financial theft and identity fraud. Making sure that the most up-to-date and powerful IT security measures are in place is a top priority.

Managed services come into picture to provide strong IT security to protect financial assets and personal information. Here are some key benefits of managed services in the financial services sector:

  • Network and data security services. Managed services provide robust security measures to safeguard sensitive financial information and prevent unauthorized access. This includes implementing firewalls, intrusion detection systems, and encryption techniques to protect data from cyber threats.
  • Compliance management services. Financial institutions need to comply with industry regulations, such as PCI DSS (Payment Card Industry Data Security Standard) and GDPR (General Data Protection Regulation.) Managed services offer compliance management solutions to ensure adherence to these regulations, helping businesses avoid penalties and maintain trust with customers.
  • Disaster recovery and business continuity services. Downtime can be costly for financial institutions. Managed services provide disaster recovery and business continuity solutions, including regular data backups and the creation of backup systems, to minimize disruptions and ensure uninterrupted operations even in the event of unexpected incidents.

Online and mobile banking usage is projected to continue to rise. For example, 22 million individuals in Latin America will adopt online banking in 2024 alone, leading to a total user base of 196 million in the region—almost double that of 2020.

By leveraging managed services, financial service providers can focus on their core functions while relying on experts to manage their network security, compliance, and business continuity. This allows them to operate more efficiently, mitigate risks, and maintain the trust of their clients.

#4 Manufacturing Sector

In the manufacturing sector, managed services play a crucial role in improving operations and maximizing production. Companies in this industry often rely on specialized technology systems and processes to meet production demands and maintain competitiveness. Let’s explore some of the specific benefits and use cases of managed services in the manufacturing sector:

  • IT infrastructure management. Managed services providers offer expertise in managing and optimizing the IT infrastructure of manufacturing companies. This includes activities such as server management, network monitoring, and software updates, which help to enhance efficiency and minimize any potential downtime that could disrupt operations.
  • Monitoring of industrial automation and control systems. As automation becomes increasingly prevalent in manufacturing, the need to monitor and maintain these systems becomes crucial. Managed services providers offer continuous monitoring to identify any issues or anomalies in the automation and control systems. By promptly addressing these issues, they ensure smooth, safe, and uninterrupted operations.
  • Data analytics and predictive maintenance. Managed services providers in the manufacturing sector often offer data analytics and predictive maintenance solutions. By analyzing data collected from various equipment and systems, manufacturers can gain valuable insights into equipment performance, identify maintenance needs in advance, and optimize maintenance schedules. This proactive approach helps to reduce unplanned downtime, extend equipment lifespan, and reduce maintenance costs.
  • Smart manufacturing. The global smart manufacturing market was valued at 97.6 billion USD in 2022 and is projected to reach 228.3 billion USD by 2027, growing at a compound annual growth rate of 18.5%. Smart manufacturing utilizes advanced technologies to improve traditional manufacturing processes. By adopting managed services, manufacturers can capitalize on this expanding market, increase productivity, minimize downtime, and achieve cost efficiency.

Managed services providers offer expertise and support, allowing manufacturers to focus on their core strengths while relying on secure and dependable IT solutions that contribute to efficiency and competitiveness.

#5 Retail Industry

In the retail industry, managed services offer essential support to streamline operations and enhance customer satisfaction. Whether focused on maintaining a reliable and secure e-commerce platform, optimizing inventory management and supply chain, or providing efficient customer support, managed services play a crucial role in helping retailers thrive in today’s competitive market. Let’s explore some of the specific benefits and use cases of managed services in the retail industry:

  • E-commerce platform management and support services. Ensuring a reliable and secure online presence is vital for retailers to attract and retain customers. Managed services can assist in managing and maintaining e-commerce platforms, enabling smooth transactions and protecting sensitive customer data.
  • Inventory management and supply chain services. Effective inventory management helps retailers to optimize stock levels, avoid out-of-stock or overstock situations, and minimize costs. Managed services can provide valuable insights and support in streamlining inventory management processes.
  • Customer support and help desk services. Providing excellent customer support is essential for building strong customer relationships. Managed services can offer efficient customer support and help desk services, addressing customer inquiries and resolving technical issues promptly.

Global retail e-commerce sales amounted to approximately 5.2 trillion USD in 2021, with expectations of significant growth in the coming years, reaching over 8 trillion USD by 2026. As retailers rely more on online platforms to connect with customers, managed services become crucial in maintaining a reliable and secure online presence. These services assist retailers in managing their e-commerce platforms, ensuring seamless transactions and safeguarding customer data.

What Is a Managed Service Provider (MSP)?

A managed service provider (MSP) is a company that provides managed services to clients, overseeing and remotely managing the IT infrastructure or end-user systems of an organization. MSPs have expertise in offering IT solutions to businesses across different sizes and industries. They act as a trusted partner and take responsibility for managing and supporting their client’s IT infrastructure, systems, and operations.

What Factors Should You Consider When Choosing an MSP?

Choosing the right managed service provider (MSP) is crucial for the success and efficiency of your business operations. With so many options available, it’s important to consider certain factors that will ensure you make an informed decision. In this section, we will explore what to keep in mind when choosing an MSP so you can confidently select an MSP that aligns with your business needs and goals. Here is a checklist to review when choosing an MSP:

  1. Expertise and specialization. Look for an MSP with experience and expertise in your industry or with your specific technology requirements.
  2. Service level agreements (SLAs). Evaluate the SLAs offered by the MSP to ensure that they meet your business requirements, including response times and issue resolution procedures.
  3. Scalability and flexibility. Consider whether the MSP can scale their services to accommodate your business growth and adapt to changing needs.
  4. Security measures. Assess the MSP’s security protocols, including data protection, vulnerability management, and incident response.
  5. Reputation and references. Research the MSP’s reputation in the industry and seek references or testimonials from their existing clients.
  6. Cost and value. Compare the pricing models of different MSPs and evaluate the value they provide in terms of services and support.
  7. Proactive support and monitoring. Determine how the MSP proactively monitors your systems and provides ongoing support to minimize downtime.
  8. Communication and reporting. Ensure that clear and transparent communication channels are established. Check that regular reports are provided to track the performance and progress of the MSP’s services.

By considering these important factors and conducting thorough research, you can make a well-informed decision when choosing a managed service provider (MSP) that will effectively meet your business needs and support your growth. When consulting with MSPs directly, ask plenty of questions and ensure that all details are clearly understood and agreed upon by both parties. Investing in technology services can be daunting and sometimes confusing, but as a business owner, it’s crucial to prioritize obtaining the best solutions for your business while also staying within your budget. In the next section, we will explore how Gcore’s managed services can assist you in growing your business.

How Do Gcore Managed Services Help Businesses to Grow?

At Gcore, we provide a wide range of managed services to cater to the unique requirements of businesses in different sectors. In this section, we will discuss our platform-as-a-service (PaaS) offering, which is a type of managed service specifically designed to offer developers a platform for creating and launching applications. With the use of PaaS, your business can depend on the service provider to handle the management and maintenance of the platform, allowing your developers to focus on creating and enhancing applications. Now, let’s explore the key features and benefits of Gcore’s platform-as-a-service (PaaS) offering.

Gcore’s Managed Kubernetes

Managed Kubernetes refers to a service that takes care of the management and operation of Kubernetes clusters. Kubernetes clusters are a collection of servers, also known as nodes, that work together to run applications in a coordinated and efficient manner. Each node in the cluster has its own resources, such as processing power and memory, which can be used to run different parts of your applications. Kubernetes manages these clusters by distributing the workload across the nodes, ensuring that applications run smoothly and can scale easily as needed. It takes care of tasks like deploying, updating, and monitoring applications, making it easier for businesses to manage their software in a reliable and scalable way.
At Gcore, we help you to deploy, manage and scale Kubernetes clusters with ease. Here are some of our service’s advantages that set us apart:

  • Bare metal support. A bare metal server is a form of cloud service in which the user rents a physical machine from a provider. This machine is dedicated to the user and not shared with any other tenants. Bare metal support means running containers directly on operating systems without any virtualization layer. This approach enhances speed and efficiency, reducing delays and ensuring optimal performance. It also eliminates disruptions caused by neighboring virtual machines (VMs.)
  • No-fee SLA-backed cluster management. In terms of managing production-level clusters, our service provides a guarantee of 99.9% service level agreement (SLA) at no additional cost. This is different from our competitors who either do not offer an SLA or charge a fee of $70 or more per month for it. With our service, you can have peace of mind knowing that your clusters will be managed and maintained with a high level of reliability and uptime, without any additional expenses.
  • Great value Gcore instance prices for worker nodes. Our pricing provides excellent value by offering worker nodes at competitive prices that are equivalent to prices for our virtual instances and bare metal servers. This ensures that you get the same level of affordability and cost-effectiveness for your worker nodes as you would for other types of server instances.
  • DDoS protection. Your projects are protected from DDoS attacks at the network and transport layers by default.
  • GPU worker nodes support. Gcore’s Managed Kubernetes clusters provide support for GPU worker nodes, enabling the execution of GPU-intensive tasks such as machine learning, video processing, and gaming.
  • 24/7 technical support. We offer rapid real-time assistance and quality technical service around the clock.

Learn more about the advantages of Gcore Managed Kubernetes.

Additional Gcore PaaS Offerings

Aside from Gcore Managed Kubernetes, we offer additional PaaS: Managed Logging for collecting and storing logs, function-as-a-service (FaaS) for running code as function without creating and maintaining virtual machines, and Cloud App Marketplace, that gives you access to ready-made systems and applied services.
Here’s a table showcasing some real-life use cases of Gcore platform-as-a-service (PaaS) in different industries.

IndustryUse Case
E-commerceBuilding and managing online marketplaces
HealthcareDeveloping telemedicine applications
Financial servicesBuilding secure and scalable banking apps
EducationCreating online learning platforms
EntertainmentDeveloping media streaming applications
ManufacturingOptimizing supply chain management systems
RetailBuilding and managing e-commerce platforms
Travel and hospitalityCreating reservation and booking systems

Cost Comparison: On-Premises, IaaS, Gcore Managed Services

Additionally, we would like to present a cost comparison between maintaining your infrastructure on-premises, as infrastructure-as-a-service (IaaS,) and using Gcore’s Managed Services/PaaS.

Gcore Managed Services Value

We offer infrastructure cost savings, which means reducing your capital expenses and saving time on infrastructure design. By choosing Gcore as your managed service provider (MSP,) your business can effortlessly scale and prioritize product development while we streamline your business growth.

Conclusion

Managed services are when a business hires an outside company to manage and support their IT infrastructure. This allows the business to focus on what they do best, leaving the technical workloads to experts. The benefits of managed services include enhanced efficiency and security, reduced downtime, and financial savings. Choosing the right managed service provider is crucial as technology becomes more sophisticated and expensive.

At Gcore, our managed services such as Managed Kubernetes are designed to facilitate business growth. By trusting us with your IT infrastructure, your business can benefit from our expertise and resources so you can concentrate on your business primary goals and achieve sustainable growth.

If you have questions, reach out to our dedicated support team and we’ll be glad to assist.

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Web performance mistakes can carry a high price, resulting in websites that yield low conversion rates, high bounce rates, and poor sales. In this article, we dig into the top 10 mistakes you should avoid to boost your website performance.1. Slow or Unreliable Web HostYour site speed begins with your web host, which provides the server infrastructure and resources for your website. This includes the VMs and other infrastructure where your code and media files reside. Three common host-related problems are as follows:Server location: The further away your server is from your users, the slower the site speed and the poorer the experience for your website visitors. (More on this under point 7.)Shared hosting: Shared hosting solutions share server resources among multiple websites, leading to slow load times and spotty connections during peak times due to heavy usage. Shared VMs can also impact your website’s performance due to increased network traffic and resource contention.VPS hosting: Bandwidth limitations can be a significant issue with VPS hosting. A limited bandwidth package can cause your site speed to decrease during high-traffic periods, resulting in a sluggish user experience.Correct for server and VM hosting issues by choosing a provider with servers located closer to your user base and provisioning sufficient computational resources, like Gcore CDN. Use virtual dedicated servers (VDS/VPS) rather than shared hosting to avoid network traffic from other websites affecting your site’s performance. If you already use a VPS, consider upgrading your hosting plan to increase server resources and improve UX. For enterprises, dedicated servers may be more suitable.2. Inefficient Code, Libraries, and FrameworksPoor-quality code and inefficient frameworks can increase the size of web pages, consume too many resources, and slow down page load times. Code quality is often affected by syntax, semantics, and logic errors. Correct these issues by writing clean and simple code.Errors or inefficiencies introduced by developers can impact site performance, such as excessive API calls or memory overuse. Prevent these issues by using TypeScript, console.log, or built-in browser debuggers during development. For bugs in already shipped code, utilize logging and debugging tools like the GNU debugger or WinDbg to identify and resolve problems.Improving code quality also involves minimizing the use of large libraries and frameworks. While frontend frameworks like React, Vue, and Angular.js are popular for accelerating development, they often include extensive JavaScript and prebuilt components that can bloat your website’s codebase. To optimize for speed, carefully analyze your use case to determine if a framework is necessary. If a static page suffices, avoid using a framework altogether. If a framework is needed, select libraries that allow you to link only the required components.3. Unoptimized Code Files and FontsEven high-quality code needs optimization before shipping. Unoptimized JavaScript, HTML, and CSS files can increase page weight and necessitate multiple HTTP requests, especially if JavaScript files are executed individually.To optimize code, two effective techniques are minification and bundling.Minification removes redundant libraries, code, comments, unnecessary characters (e.g., commas and dots), and formatting to reduce your source code’s size. It also shortens variable and function names, further decreasing file size. Tools for minification include UglifyJS for JavaScript, CSSNano for CSS, and HTMLminifier for HTML.Bundling groups multiple files into one, reducing the number of HTTP requests and speeding up site load times. Popular bundling tools include Rollup, Webpack, and Parcel.File compression using GZIP or Brotli can also reduce the weight of HTTP requests and responses before they reach users’ browsers. Enable your chosen compression technique on your server only after checking that your server provider supports it.4. Unoptimized Images and VideosSome websites are slowed down by large media files. Upload only essential media files to your site. For images, compress or resize them using tools like TinyPNG and Compressor.io. Convert images from JPEG, PNG, and GIF to WebP and AVIF formats to maintain quality while reducing file size. This is especially beneficial in industries like e-commerce and travel, where multiple images boost conversion rates. Use dynamic image optimization services like Gcore Image Stack for efficient processing and delivery. For pages with multiple images, use CSS sprites to group them, reducing the number of HTTP requests and speeding up load times.When adding video files, use lite embeds for external links. Standard embed code, like YouTube’s, is heavy and can slow down your pages. Lite embeds load only thumbnail images initially, and the full video loads when users click the thumbnail, improving page speed.5. No Lazy LoadingLazy loading delays the rendering of heavy content like images and JavaScript files until the user needs it, contrasting with “eager” loading, which loads everything at once and slows down site load times. 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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