Tag: Scalability

  • Hyper-converged Infrastructure: Your Key in the IoT EraConverged SystemsHyper-converged Infrastructure: Your Key in the IoT Era

    Hyper-converged Infrastructure: Your Key in the IoT EraConverged SystemsHyper-converged Infrastructure: Your Key in the IoT Era

    The hyper converged infrastructure definition describes it as a software-based solution for data. It’s something that can help your business achieve more with fewer resources. Hyperconvergence is the way to go, and we’re going to explain why.

    What Is a Data Infrastructure?

    It’s something every business needs, no matter the size of it. Data infrastructures are used for sharing and consuming data across different channels within a company. It’s also used by many institutions, such as universities, libraries, research institutes, etc.

    Let’s take research as an example. Simply reading the findings might not be sufficient for some people. They need access to the raw data, the statistics, or the methods to look into the research and try to reproduce it.

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    Likewise, there’s a daily need for DIs in business.

    There are many components in data infrastructures. They usually require hardware, networking components, different services and policies, software, etc. There are different strategies for data infrastructures that companies can opt for. We’re going to talk about what CI is and what HCI is.

    What Is a Converged Infrastructure?

    Converged means that there are things that come from different directions and meet at a certain point. This means that most of the components in a converged data infrastructure are packed into a collection of necessary systems.

    What Is a Hyper Converged Infrastructure

    Hyper Converged infrastructures usually include servers necessary to provide services, storage necessary to read and write data, networking parts that connect all the components, and software that manage the entire collection.

    That’s why converged infrastructure is a brilliant solution because they come as a collection of components that are all compatible with each other. So, instead of getting all those separately, you can get a CI in one place.


    What Is Hyper converged Infrastructure?

    The hyper converged infrastructure is more of a hardware solution, but an HCI is more of a software solution. It also prevents any compatibility difficulties that can occur, and here are the components of an HCI:

    • Hypervisor: It’s software that virtualizes or simulates virtual machines. Once a computer has a hypervisor that can run multiple virtual machines, it becomes a host machine.
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      The VMs (virtual machines) are guest machines.
    • SDS: Software-defined storage is exactly what it is. It’s software that provisions and manages the storage independently from the physical storage underlying it. The software works based on provisioning policies.
    • SDN: Software-defined networking is something that enables smooth network management, with software defining the network configuration. It’s like cloud computing.

    Benefits of a Hyper converged Infrastructure

    A hyper converged data center is an effective solution for any business size, and there are several reasons you should deploy an HCI data infrastructure. The major advantages of this type of data infrastructure include:

    • More efficient than other solutions: Hyper converged infrastructure allows easier management where you don’t need more than a few people managing the storage and the resources.
    • Reduced cost with better performance: It’s great because you can use a sophisticated data infrastructure architecture that gives you more storage capabilities you can use with standard servers, the x86 ones.
    • Ease of scalability: Depending on the situation and the business needs, you can easily change the scales of the workload and set up the hardware. An HCI allows for easy database manipulation.
    • Fewer hardware components: Thanks to the virtualization in a hyper-converged data center, and as it is a software-based solution, there’s no need to use excessive hard disks and physical space.
    • Fast setup: Installing the software takes a few minutes, and your IT team can focus on more pressing matters such as security, data management, and the services that make up the business.

    Key in the IoT Era

    Why do we call hyper-converged data infrastructure the key in the IoT era? Because it is closely related as we use hyper-converged data centers to keep all the services and data together and manage it reliably with innovative software.

    At some point, cloud computing could handle the number of devices connected. However, with the IoT devices developing rapidly and enterprises trying to provide seamless performance, hyper-converged infrastructures might be a much more suitable solution.

    What Is IoT Data?

    IoT device data is the data the devices collect from their environment. There are appliances that are connected to the internet, i.e. robotic vacuums. There are things like farming equipment, trackers, scanners, etc.

    Benefits of a Hyper converged Infrastructure

    All these devices collect data, the user input, and they can learn with it. An example would be a smartphone assistant that collects your voice. This data isn’t something that needs to go to waste, it can be quite useful.

    Reasons to Use HCI With IoT

    Apart from the necessity of connecting more and more things to the internet, and the necessity to support those things via edge computing, there are several reasons you should deploy an HCI:

    • Breakthrough possibilities: With cloud infrastructure, the vast amounts of data cause congestion in traffic, and they’re much more difficult to process. With an HCI data center, you can process the data easily and use the information to improve your services.
    • Eliminating management resources: There’s no need to exhaust human resources to work on managing your data infrastructure because there’s sophisticated software doing it instead, and your IT team only needs to check in once in a while.
    • Legacy and AI app compatibility: The HCI is something that lets the newest artificial intelligence software run alongside older legacy apps. Other solutions might not allow such functionality. This is a solid reason to deploy it.

    Conclusion

    As you can see, an HCI can help with more than just the data in your company. It can allow you to focus on your business entirely instead of focusing on managing your data. Also, you can put the data to good use and make innovative solutions in your field of business and in the IoT era.

  • What To Look For When Hiring An AI Service Provider

    What To Look For When Hiring An AI Service Provider

    Artificial intelligence (AI) has become one of the hottest buzzwords in the business world in recent years. And for a good reason—when used correctly, AI can be a powerful tool for increasing efficiency, driving revenue, and improving the customer experience. And this is where hiring an AI service provider becomes beneficial.

    But with so many consulting companies today, it can be tough to know where to start. How do you choose a provider that’s right for your business? Here are eight things to look for when hiring an AI service provider.

    1. Experience and Expertise 

    When looking for an AI service provider, you’ll want to find a company with a proven track record of successful implementations. Ask the provider about their previous projects, what challenges they faced, and how they were able to overcome them. You should also inquire about the experience of the team who’ll handle your business’s AI concerns.

    Do they have any certified data scientists on staff? What about engineers with experience in artificial intelligence? It’s best to check awarded automation companies and similar AI providers to ensure you’ll be working with a reliable company.

    2. Scope of Services 

    Another essential factor to consider is the scope of services offered by the AI service provider. This is important because you’ll want to ensure they offer all the services you need to get your project off the ground. 

    Does the provider offer a full suite of services, from data collection and cleaning to model training and deployment? It’s essential to find a provider that offers a comprehensive set of services to ensure all aspects of your AI implementation are correctly handled. 

    3. Platform Compatibility 

    One of the first things you’ll want to consider when hiring an AI service provider is whether their platform is compatible with your existing systems. You don’t want to overhaul your infrastructure to implement AI completely; that would be time-consuming and expensive. 

    Instead, look for a provider whose platform will integrate seamlessly with the systems you already have in place. This way, you can get up and running quickly and start seeing results without hassle. 

    4. Data Requirements 

    Know what sort of data they require to train their models. Some providers may only need a small amount of data to get started, while others may require more. Also, find out how the provider plans to use your business data. Will they keep it private and only use it for your project? Or will they share it with other clients or sell it to third-party data providers? 

    It’s essential to ensure you understand the data requirements before getting started with a particular provider. Otherwise, you may find yourself in a situation where you cannot provide the necessary data and are forced to switch providers anyway. 

    5. Algorithmic Capabilities 

    When choosing an AI service provider, you’ll want to inquire about the types of algorithms they use. Do they primarily use supervised learning? Or do they also utilize unsupervised learning and reinforcement learning? The answer to this question will give you a good idea of the provider’s capabilities. 

    If they only use supervised learning, they may not be able to handle more complex projects. On the other hand, a provider that uses all types of algorithms will likely be better equipped to take on challenging projects and support your business operations.

    6. Support and Maintenance 

    You should also consider support and maintenance. Once you’ve implemented their software, you’ll likely have questions or need help troubleshooting from time to time. Ensure that the provider offers adequate support and maintenance, so you’re not left in the dark after paying for their services. 

    Ask about their customer support channels and learn about how quickly they typically respond to inquiries. Before signing a contract, you should also inquire about additional support and maintenance fees. Lastly, find out if they offer any guarantee or warranty in case something goes wrong. 

    7. Customization and Integration 

    Check if the AI service provider offers customization and integration services. After all, every business is unique and has different needs. You’ll want to work with a provider who can tailor their services to meet your business’s specific needs and requirements. 

    Additionally, it’s essential to ensure that any AI solutions they offer can be easily integrated into your existing systems and processes. Otherwise, you’ll end up with a bunch of new technologies that don’t talk to each other—which doesn’t do you any good. 

    8. Pricing and Payment Models  

    Of course, you’ll also want to consider pricing and payment models when hiring an AI service provider. Make sure to get a detailed breakdown of all the costs involved. This way, there are no surprises down the line.

    Also, inquire about their payment model. Do they charge by the hour? By the project? Or do they use a subscription-based model? Choose a provider whose payment model aligns with your budget and needs. 

    Takeaway

    When choosing an AI service provider, there are several factors you’ll want to consider. These include their platform, data requirements, algorithmic capabilities, support and maintenance, customization and integration services, pricing, and payment model. By taking the time to assess each of these factors, you can be sure to choose a provider that’s a good fit for your business.