A Look at Data Center Infrastructure Management

What is a Data Center

A data center is a physical facility that organizations use to house their critical applications and data. A data center’s design is based on a network of computing and storage resources that enable the delivery of shared applications and data. The key components of a data center design include routers, switches, firewalls, storage systems, servers, and application-delivery controllers.

Modern data centers are very different than they were just a short time ago. Infrastructure has shifted from traditional on-premises physical servers to virtual networks that support applications and workloads across pools of physical infrastructure and into a multicloud environment. In this era, data exists and is connected across multiple data centers, the edge, and public and private clouds. The data center must be able to communicate across these multiple sites, both on-premises and in the cloud. Even the public cloud is a collection of data centers. When applications are hosted in the cloud, they are using data center resources from the cloud provider.

Importance of Data centers

In the world of enterprise IT, data centers are designed to support business applications and activities that include

• Email and file sharing
• Productivity applications
• Customer relationship management (CRM)
• Enterprise resource planning (ERP) and databases
• Big data, artificial intelligence, and machine learning
• Virtual desktops, communications and collaboration services

Core Components of a Data Center

A data center infrastructure\design may include

• Servers
• Computers
• Networking equipment, such as routers or switches.
• Security, such as firewall or biometric security system.
• Storage, such as storage area network (SAN) or backup/tape storage.
• Data center management software/applications.
• Application delivery controllers

These components store and manage business-critical data and applications, data center security is critical in data center design. Together, they provide:

Network infrastructure: This connects servers (physical and virtualized), data center services, storage, and external connectivity to end-user locations.

Storage infrastructure: Data is the fuel of the modern data center. Storage systems are used to hold this valuable commodity.

Computing resources: Applications are the engines of a data center. These servers provide the processing, memory, local storage, and network connectivity that drive applications.

How do data centers operate?

Data center services are typically deployed to protect the performance and integrity of the core data center components.

Network security appliances:  These include firewall and intrusion protection to safeguard the data center.

Application delivery assurance: To maintain application performance, these mechanisms provide application resiliency and availability via automatic failover and load balancing.

What is in a data center facility?

Data center components require significant infrastructure to support the center’s hardware and software. These include power subsystems, uninterruptible power supplies (UPS), ventilation, cooling systems, fire suppression, backup generators, and connections to external networks.

Standards for data center infrastructure

The most widely adopted standard for data center design and data center infrastructure is ANSI/TIA-942. It includes standards for ANSI/TIA-942-ready certification, which ensures compliance with one of four categories of data center tiers rated for levels of redundancy and fault tolerance.

Tier 1: Basic site infrastructure. A Tier 1 data center offers limited protection against physical events. It has single-capacity components and a single, no redundant distribution path.

Tier 2: Redundant-capacity component site infrastructure. This data center offers improved protection against physical events. It has redundant-capacity components and a single, no redundant distribution path.

Tier 3: Concurrently maintainable site infrastructure. This data center protects against virtually all physical events, providing redundant-capacity components and multiple independent distribution paths. Each component can be removed or replaced without disrupting services to end users.

Tier 4: Fault-tolerant site infrastructure. This data center provides the highest levels of fault tolerance and redundancy. Redundant-capacity components and multiple independent distribution paths enable concurrent maintainability and one fault anywhere in the installation without causing downtime.

Types of data centers

Many types of data centers and service models are available. Their classification depends on whether they are owned by one or many organizations, how they fit (if they fit) into the topology of other data centers, what technologies they use for computing and storage, and even their energy efficiency. There are four main types of data centers:

Enterprise data centers

These are built, owned, and operated by companies and are optimized for their end users. Most often they are housed on the corporate campus.

Managed services data centers

These data centers are managed by a third party (or a managed service provider) on behalf of a company. The company leases the equipment and infrastructure instead of buying it.

Colocation data centers

In colocation (“colo”) data centers, a company rents space within a data center owned by others and located off company premises. The colocation data center hosts the infrastructure: building, cooling, bandwidth, security, etc., while the company provides and manages the components, including servers, storage, and firewalls.

Cloud data centers

In this off-premises form of data center, data and applications are hosted by a cloud services provider such as Amazon Web Services (AWS), Microsoft (Azure), or IBM Cloud or other public cloud provider.

Tips to Improve Data Center Management

Data center infrastructure is an integral part of modern businesses, data center infrastructure at facilities is becoming complex to manage with dynamic landscapes. Cooling, power, space, cable – everything must run efficiently for enabling business continuity, here are some tips data centers can follow for efficient Management

Deploy DCIM Tools

Few things are more critical to data center operations best practices than an effective data center infrastructure management (DCIM) platform. Managing a data center without DCIM software is nearly impossible, knowing what’s happening in the moment and even minor problems can be extremely disruptive because they take the facility by surprise.

Implementing DCIM tools provides complete visibility into the facility’s IT infrastructure, allowing data center personnel to monitor power usage, cooling needs, and traffic demands in real time. They can also analyze historical trends to optimize deployments for better performance. With a DCIM platform in place, IT support tickets can be resolved quickly and customers can communicate their deployment needs without having to go through a complicated request process.

Optimize Data Floor Space

Deployments matter, especially when it comes to issues of power distribution and rack density. Inefficient deployments can lead to problems like wasted energy going to underutilized servers or too much heat being generated for the cooling infrastructure to manage. It is no longer possible to manage temperatures on a facility level because rack densities may vary widely, creating hot spots in one zone while another zone is cooled below the desired temperature. The layout of the data floor can be subject to quite a bit of change, especially in a colocation facility where new servers are being deployed on a regular basis. Data centers need to be aware of how every piece of equipment on the data floor interacts with the others in order to optimize the environment efficiently. Installing a network of temperature sensors across the data center helps ensure that all equipment is operating within the recommended temperature range. By sensing temperatures at multiple locations the airflow and cooling capacity of the precision cooling units can be more precisely controlled, resulting in more efficient operation.

With power densities and energy costs both rising, the ability to monitor energy consumption is essential for effective data center management. To gain a comprehensive picture of data center power consumption, power should be monitored at the Uninterruptible Power Supply (UPS), the room Power Distribution Unit (PDU) and within the rack. Measurements taken at the UPS provide a base measure of data center energy consumption that can be used to calculate Power Usage Effectiveness (PUE) and identify energy consumption trends. Monitoring the room PDU prevents overload conditions at the PDU and helps ensure power is distributed evenly across the facility.

With increasing densities, a single rack can now support the same computing capacity that used to require an entire room. Visibility into conditions in the rack can help prevent many of the most common threats to rack-based equipment, including accidental or malicious tampering, and the presence of water, smoke and excess humidity or temperature. A rack monitoring unit can be configured to trigger alarms when rack doors are opened, when water or smoke is detected, or when temperature or humidity thresholds are exceeded, these can be connected to a central monitoring system for efficient monitoring.

In addition to constantly monitoring the data floor’s power, floor density and cooling needs, data center standards should approach every deployment with an eye toward efficiency and performance. The challenge is to deliver the optimal IT infrastructure setup for each customer without compromising performance elsewhere on the data floor. DCIM software, with its accumulated data on power and cooling usage, can help to ensure that every colocation customer is getting the most efficient deployment possible while also maintaining the overall health of the data center’s infrastructure.

Organize Cabling

Data centers necessarily use quite a lot of cable. Whether it’s bulky power cables or fiber-optic network cables, the facility must find ways to manage all that cabling effectively to make sure it all goes to the proper ports. While messy, unstructured cabling might be a viable solution for a very small on-premises data room in a private office, it’s completely unsuitable, and even dangerous, for even the smallest data centers. Cabling used in scalable infrastructure must be highly structured and organized if IT personnel are going to have any hope of managing it all.

Some of the Best practices are as follows

• Run cables to the sides of server racks to ease adding or removing servers from the shelf.
• Bundle cables together to conveniently connect the next piece of hardware down to the floor in data centers with elevated floors or up to the ceiling in data centers with wires that run through the ceiling.
• Plan in advance for installing additional hardware. Disorganized cabling can interfere with air circulation and cooling patterns. Planning prevents damages due to quickly rising temperatures caused by restricted air movement.
• Label cables securely on each end. This labeling process enables you to conveniently locate cables for testing or repair, install new equipment, or remove extra cables after equipment has been moved or upgraded, which saves time and money.
• Color code cables for quick identification. Choose a color scheme that works for you and your team. It may be wise to put up a legend signifying the meaning of the colors of each cable. You may also color-code the cable’s destination, especially for larger installations across floors or offices.

Poorly organized cabling is not only messy and difficult to work with, but it can also create serious problems in a data center environment. Too many cables in a confined space can restrict air flow, putting more strain on both computing equipment and the facility’s cooling infrastructure. Inefficient cabling can also place unnecessary restrictions on deployments, which can make power distribution inefficiencies even worse.

Cycle Equipment

Computer technology advances quickly. While the typical lifecycle of a server is about three to five years, more efficient designs that allow data centers to maximize their space and power usage can often make a piece of equipment obsolete before its lifecycle would otherwise suggest. With many data center standards pushing toward increased virtualization, there is a powerful incentive to replace older, less efficient servers.

But data centers don’t just need to think about cycling computing equipment. Power distribution units (PDUs), air handlers, and uninterruptible power supply (UPS) batteries all have an expected lifespan. Replacing these infrastructure elements on a regular schedule or controlled monitoring cycle allows facilities to maximize the efficiency of their data center operations and deliver superior performance to colocation customers.

By implementing a number of best practices, data centers can significantly improve their operations in terms of efficiency and performance. Colocation customers and MSP partners stand to benefit immensely from these practices, reaping the benefits of reduced energy costs and a more robust, reliable IT infrastructure.

Perform Routine Maintenance

Regular or routine maintenance schedules will cut down on hardware failures, at the least allowing technicians to prepare for a problem before it happens, Routine maintenance includes checking operational hardware, identifying problematic equipment, performing regular data backups and monitoring outlying equipment. Preventative maintenance can mean the difference between minor issues and a complete hardware failure.

When implemented effectively, data center infrastructure management can deliver value not only to data center providers but also extend it to their customers. Not only will it enable improved operations, greater agility, and lowered risk, it also accelerates tasks to focus on enhanced data center systems and approaches.

Value of DCIM – Data Center Infrastructure Management

Data Center, in general people think it is a place where Data is being stored which is correct but there is a lot that an end user does not see or know is happening inside. A data center technician is responsible for tasks that are divided into several categories and assigned according to their skillset. Since the functionality of any application or program depends on how well a Data Center is being managed that is why its management becomes a critical part for the people involved in it. We can also refer Data Center as heart of the current IT Industry which is holding it together to provide services people need.

When it comes to know about the values that Data Center Infrastructure Management provides, we need to understand every aspect of the terms that is used to define the complete status of a Data Center starting from Deployment and till Maintenance. In other words, it can be categorized into 5 different area of focus:

1. Capacity Planning
2. Asset Management
3. Power Monitoring
4. Environmental Monitoring
5. Change Management

Let us take an example here to understand all these terms in general: Assume a fully functional Data Center is going to get a new client which will be supported by the existing Datacenter. In this case before the client get onboarded the planning starts for the additional hardware/networking that will be required to accomplish this. This is when Asset management and Capacity Planning comes in handy. Since capacity planning is done to make sure to collect the data which is going to play an important role while buying the additional equipment. Data received from Capacity Planning is used to optimize the current IT Asset layout. When it comes to Asset Management it is a method to centrally manage the assets inside a data center including where a particular asset is located, how it is connected in relation to other assets, who owns it and maintenance coverage information.

Power Monitoring will define the total power requirement of this new client along with the current power capacity of the existing data center. In case the power requirement is more than the available value, new hardware will be added to support the new equipment. It gives a Data Center ability to investigate the entire power chain from generator down to a specific outlet on an intelligent cabinet PDU which will help in the diagnosis of any potential problems, balance power capacity across our facility, understand trend and receive alerts when problem arise with the help of proper sensors monitoring these values constantly.

Environmental monitoring enables us to capture data on Temperature, Pressure, Humidity and Air flow throughout the Data Center. Since these factors can impact the equipment severely, it is necessary to round the clock monitoring without failing. Now the importance of this factor is crucial since the behavior of the hardware will change and will interrupt the normal operations.

Change management creates an automated process for move, add and change work with real time tracking of work orders. This improves employee productivity, creates a repeatable streamlined process, and assist with compliance.

Selecting DCIM hardware and Software to meet our specific requirement can be challenging. Establishing a hardware roadmap and a business process is essential to achieve in a return on investment(ROI) with a decent solution. Once these are calculated, the requirements of different departments are addressed, and that the proper hardware foundation is in place to enable a smart, decent deployment.

DCIM also solve the challenges in project deployment facility assessment and controlled repeatability. Going through all these factors one can clearly see the importance of DCIM in current Information Technology requirement and how much values it brings to maintain a Data Center successfully and overcome all the challenges that may arise in the process.

Tips to Manage Data Center build for Enterprise-Scale Software

We’re all trying to improve ourselves and our companies. Start-ups aim to become a Mid-Level Company and a Mid-Level Company to become a Major Company. They want to expand into a global company, and so on. It is important to evolve how we handle our current and new data centers as our businesses expand.

The pandemic slowed us down earlier but also created a huge demand for more remote servers and software to help better the situation. the companies have shifted their office work to the remote. This has become important due to the ongoing outbreak of Coronavirus and the spike in death tolls. According to Worldometer, the number of people infected with the Coronavirus has grown to more than 114 million, with more than 2.4 million deaths. This is the stat as of March 02, 2021. To cut the cost and to be able to grow without expanding their staff numbers, companies have huge pressure on how to cope up. This requires huge changes in data centers to make them efficient. Growing software demands even during pandemic demand us to be smart and create smart data centers. Here at Protected Harbor, we create data centers that can host multiple parts of single huge enterprise software with ease and almost no downtime.

Even maintenance of these data centers has minimum impact on this software because we make all the new changes in development and only shift anything to production once after deep testing. We perform this maintenance during the weekend preferably Sunday evening and that is usually done in just a few minutes.

We can categorize all these measures we take into these –

Analyze

First and foremost, perform a complete analysis of the budget, the requirement, and then what would be the most cost-efficient method to build the data center without compromising performance. Points to remember during the analysis. Disaster recovery means what downtime is expected and how it would affect the client experience. Depending on the business of the customers they can be categorized and assigned a data center customized and build just for them or for customers exactly like them along with them.

Plan

Once the analysis is done following the most appropriate approach for the customers, the next step is planning the layout and detailed configuration of the data center to be able to hold huge enterprise software. Planning includes size determination, the nomenclature of the servers, and Virtual machines inside it, disk and memory allocation, temperature to maintain, sensors to install, and settings.

Automation and AI

This is not a stage but a very important approach to maximize efficiency. Automation to perform tasks to avoid increasing staff to monitor various parts of the data center is critical for providing the best services to the customers without increasing overall cost. Artificial Intelligence on the other hand can be even more efficient as it can read the statistics and help configure the setting even better to match the needs. Hence, saving production cost of the data center while improving performance.

Climate Control using Sensors

Another important tip will be to control the temperature around and in the data center. The recommended temperature needs to be set at all times in the data center to avoid damages. If a single component gets damaged it can result in complete failure of the system and thus resulting in the customer not able to work. Reputation risk is huge in this case. This demands smart sensors be installed.

Go hybrid

The term “hybrid data center” refers to a data center with a combination of computing and storage environments. So the tip is to take advantage by combining on-premises data centers, private cloud, and/or public cloud platforms in a hybrid IT computing setting, enabling different businesses we run and our clients to adapt rapidly to evolving demands.

Maintain

This is the most important part of the process. Yes, the foundation of the center is important like analysis, planning, and following tips but managing the data center can result in it irreversible corruption, failures, and extended period of downtime. It is important to plan the maintenance process as well. Setting up calendar events for daily, weekly, and monthly maintenance of the data center is the key. Always keep an eye on the data and operations in both structures and places at all times.

Along with the stages and tips to managed an Enterprise software ready Datacenter, there are some other important tips to keep in mind for better results.

Use custom built in house software to manage rather than depending on licenses and vendors.

Licensing tools are mostly used by tech giants to collect data on device installation and use. They are one-time-only and do not allow for further refinement, with others only offering knowledge that is beneficial to the seller. They would not assist us in optimizing your licensing. To control data center licenses, you’ll need solutions that are tailored to and climate and challenge.

Partnering with Vendors

This is another great tip that can cut costs while providing possibilities to customize the tools based on our requirements. Following this multiple features can be integrated into a single appliance.

To summarize these are the steps to manage an enterprise-ready datacenter, research on the latest and greatest methods and efficient tools. Then consider ways to make the data center more energy and space-efficient, or how to make better use of current facilities. After that comes the detailed plan layout. Specific details about the location, allocation, and the complete blueprint of the data center need to be put together. Then execution and maintenance.

Data Center Infrastructure Management

Overview

Worldwide demand for new and more powerful IT-based applications, combined with the economic benefits of consolidation of physical assets, has led to an unprecedented expansion of data centers in both size and density. Limitations of space and power, along with the enormous complexity of managing a large data center, have given rise to a new category of tools with integrated processes – Data Center Infrastructure Management (DCIM).

Once properly deployed, a comprehensive DCIM solution provides data center operations managers with clear visibility of all data center assets along with their connectivity and relationships to support infrastructure – networks, copper and fiber cable plants, power chains and cooling systems. DCIM tools provide data center operations managers with the ability to identify, locate, visualize and manage all physical data center assets, simply provision new equipment and confidently plan capacity for future growth and/or consolidation.

These tools can also help control energy costs and increase operational efficiency. Gartner predicts that DCIM tools will soon become the mainstream in data centers, growing from 1% penetration in 2010 to 60% in 2014. This document will discuss some important data center infrastructure management issues.

We’ll also take a look at how a DCIM product can provide data center managers with the insight, information and tools they need to simplify and streamline operations, automate data center asset management, optimize the use of all resources – system, space, power, cooling and staff – reduce costs, project data center capacities to support future requirements and even extend data center life.

Why Data Center Infrastructure Management?

The trend for consolidation and construction of ever-larger data centers has been basically driven by economy-of-scale benefits. This trend has been accelerated and facilitated by technological advances such as Web-based applications, system virtualization, more powerful servers delivered in a smaller footprint and an overabundance of low-cost bandwidth. Not many years ago, most computer sites were sufficiently small so that the local, dedicated IT and facilities staff could reasonably manage most everything with manual processes and tools such as spreadsheets and Visio diagrams. It has now become painfully clear that IT and facilities professionals need better tools and processes to effectively manage the enormous inventory of physical assets and the complexity of the modern data center infrastructure. Experience shows that once a data center approaches 50-75 racks, management via spreadsheets and Visio becomes unwieldy and ineffective. The outward expansion and increasing rack density of modern data centers have created serious space and energy consumption concerns, prompting both corporate and government regulatory attention and action. DC has forecasted that data center power and cooling costs will rise from $25 billion in 2015 to almost $45 billion in 2025. Moreover, in a recent Data Center Dynamics research study, U.S. and European data center managers stated that their three largest concerns were increasing rack densities, proper cooling and power consumption. Seemingly overnight, the need for data center infrastructure and asset management tools has now become an overwhelming, high-priority challenge for IT and facilities management. At the highest level, the enterprise data center should be organized and operated to deliver quality service reliably, securely and economically to support the corporate mission. However, the natural evolution of roles and responsibilities among three principal groups within the data center – facilities, networking and systems – has in itself made this objective less achievable. Responsibilities have historically been distributed based on specific expertise relating to the physical layers of the infrastructure:

1. Facilities: Physical space, power and cooling
2. Networking: Fiber optic and copper cable plants, LANs, SANs and WANs
3. Systems: Mainframes, servers, virtual servers and storage

Clearly, one major challenge is bridging the responsibilities and activities among various data center functions to minimize the delays, waste and potential operational confusion that can easily arise due to each group’s well-defined, specific roles.

What Is Data Center Infrastructure Management?

Basic Data Center Infrastructure Management components and functions include:

• A Single Repository: One accurate, authoritative database to house all data from across all data centers and sites of all physical assets, including data center layout, with detailed data for IT, power and HVAC equipment and end-to-end network and power cable connections.
• Asset Discovery and Asset Tracking: Tools to capture assets, their details, relationships and interdependencies.
• Visualization: Graphical visualization, tracking and management of all data center assets and their related physical and logical attributes – servers, structured cable plants, networks, power infrastructure and cooling equipment.
• Provisioning New Equipment: Automated tools to support the prompt and reliable deployment of new systems and all their related physical and logical resources.
• Real-Time Data Collection: Integration with real-time monitoring systems to collect actual power usage/environmental data to optimize capacity management, allowing review of real-time data vs. assumptions around nameplate data.
• Process-Driven Structure: Change management workflow procedures to ensure complete and accurate adds, changes and moves
• Capacity Planning: Capacity planning tools to determine requirements for the future floor and rack space, power, cooling expansion, what-if analysis and modeling.
• Reporting: Simplified reporting to set operational goals, measure performance and drive improvement.
• A Holistic Approach: Bridge across organizational domains – facilities, networking and systems, filling all functional gaps; used by all data center domains and groups regardless of hierarchy, including managers, system administrators and technicians.

A comprehensive Data Center Infrastructure Management solution will directly address the major issues of asset management, system provisioning, space and resource utilization and future capacity planning. Most importantly, it will provide an effective bridge to support the operational responsibilities and dependencies between facilities and IT personnel to eliminate the potential silos.

Once again your Data Center Infrastructure Management will prove invaluable by collecting, mining and analyzing actual historic operational data. Data Center Infrastructure Management reports, what-if analysis and modeling will help identify opportunities for operational improvement and cost reduction so you can confidently plan and execute data center changes.

VDI vs DaaS, What is the Difference and which is best for your business virtualization needs?

Virtual desktops give users secure remote access to applications and internal files. Virtualization technologies often used in these remote access environments include virtual desktop infrastructure (VDI) and desktop as a service (DaaS).

Both remote access technologies remove many of the constraints of office-based computing. This is an especially high priority for many businesses right now, as a large portion of the global workforce is still working remotely due to the COVID-19 pandemic, and many organizations are considering implementing permanent remote work on some level.

With VDI and DaaS, users can access their virtual desktops from anywhere, on any device, making remote work much easier to implement and support, both short and long-term. Understanding your organization’s needs and demands can help you decide which solution is right for you

What Is VDI?

VDI creates a remote desktop environment on a dedicated server. The server is hosted by an on-premises or cloud resource. VDI solutions are operated and maintained by a company’s in-house IT staff, giving you on-site control of the hardware.

VDI leverages virtual machines (VMs) to set up and manage virtual desktops and applications. A VM is a virtualized computing environment that functions as though it is a physical computer. VMs have their own CPUs, memory, storage, and network interfaces. They are the technology that powers VDI.

A VDI environment depends on a hypervisor to distribute computing resources to each of the VMs. It also allows multiple VMs, each on a different OS, to run simultaneously on the same physical hardware. VDI technology also uses a connection broker that allows users to connect with their virtual desktops.

Remote users connect to the server’s VMs from their endpoint device to work on their virtual desktops. An endpoint device could be a home desktop, laptop, tablet, thin client or mobile device. VDI allows users to work in a familiar OS as if they are running it locally.

What Is Daas?

DaaS is a cloud-based desktop visualization technology hosted and managed by a third-party service provider. The DaaS provider hosts the back-end virtual desktop infrastructure and network resources.

Desktop as a Service systems are subscription-based, and the service provider is responsible for managing the technology stack. This includes managing the deployment, maintenance, security, upgrades, and data backup and storage of the back-end VDI. DaaS eliminates the need to purchase the physical infrastructure associated with desktop visualization.

DaaS solutions and technology stream the virtual desktops to the clients’ end-user devices. It allows the end-user to interact with the OS and use hosted applications as if they are running them locally. It also provides a cloud administrator console to manage the virtual desktops, as well as their access and security settings.

How Are VDI and DaaS Similar, and How Do They Differ?

VDI (Virtual Desktop Infrastructure) and DaaS (Desktop as a Service) share the common goal of providing centralized solutions for delivering desktop environments. Both leverage centralized servers to host desktop operating systems and applications, making managing and securing data easier. However, there are key distinctions. VDI typically requires on-premises infrastructure and demands significant IT management, making it suitable for organizations with specific customization needs or those handling sensitive data. DaaS solutions, on the other hand, are cloud-based, offering scalability and flexibility, making them ideal for task workers and organizations seeking a simplified, cost-effective approach to desktop provisioning and management.

Desktop as a service is a cloud-hosted form of virtual desktop infrastructure (VDI). The key differences between DaaS and VDI lie in who owns the infrastructure and how cost and security work. Let’s take a closer look at these three areas.

Infrastructure

With VDI, the hardware is sourced in-house and is managed by IT staff. This means that the IT team has complete control over the VDI systems. Some VDI deployments are hosted in an off-site private cloud that is maintained by your host provider. That host may or may not manage the infrastructure for you.

The infrastructure for DaaS is outsourced and deployed by a third party. The cloud service provider handles back-end management. Your IT team is still responsible for configuring, maintaining and supporting the virtual workspace, including desktop configuration, data management, and end-user access management. Some DaaS deployments also include technical support from the service provider.

Cost

The cost for DaaS and VDI depends on how you deploy and use each solution.

VDI deployments require upfront expenses, such as purchasing or upgrading servers and data centers. You’ll also need to consider the combined cost of physical servers, hypervisors, networking, and virtual desktop publishing solutions. However, VDI allows organizations to purchase simpler, less expensive end-point devices for users or to shift to a bring-your-own-device (BYOD) strategy. Instead of buying multiple copies of the same application, you need only one copy of each application installed on the server.

DaaS provider requires almost no immediate capital expenses because the cost model operates on ongoing subscription fees. You pay for what you use, typically on a per-desktop billing system. The more users you have, the higher the subscription fee you’ll have to pay. Every DaaS provider has different licensing models and pricing tiers, and the tiers may determine which features are available to the end-user.

Security

Both solutions move data away from a local machine and into a controlled and managed data center or centralized servers.

Some organizations prefer VDI because they can handle every aspect of their critical and confidential data. VDI deployments are single-tenant, giving complete control to the organization. You can specify who is authorized to access data, which applications are used, where data is stored and how systems are monitored.

DaaS is multi-tenant, which means your organization’s service is hosted on platforms shared with other organizations. DaaS service providers use multiple measures to secure your data. This commonly includes data encryption, intrusion detection and multi-factor authentication. However, depending on the service provider, you may have limited visibility into aspects such as data storage, configuration and monitoring.

How Do You Choose What’s Right for You?

Both VDI and DaaS are scalable solutions that create virtual desktop experiences for users working on a variety of devices. Choosing between the two depends on analyzing your business requirements to determine which solution best fits your needs.

DaaS is a good solution for organizations that want to scale their operations quickly and efficiently. The infrastructure and platform are already in place, which means you just need to define desktop settings and identify end-users. If you want to add additional users (such as contractors or temporary workers), you can add more seats to your subscription service and pay only when you are using them.

An in-house VDI solution is a good fit for organizations that value customization and control. Administrators have full control of infrastructure, updates, patches, supported applications and security of desktops and data. Rather than using vendor-bundled software, VDI gives the in-house IT staff control over the software and applications to be run on the virtual machine.

DaaS operates under a pay-as-you-go model, which is appealing for companies that require IT services but lack the funds for a full-time systems administrator or the resources to implement a VDI project.

DaaS is suitable for small- and medium-sized businesses (SMEs), as well as companies with many remote workers or seasonal employees. However, Desktop as a Service subscription rates, especially for premium services, may diminish its cost-saving appeal. With VDI, you must pay a high upfront cost, but the organization will own the infrastructure. Careful forecasting can help fix long-term costs for virtual desktops and applications.

Data Center Cable Management

Datacenter cable management is a complex task, Poor cable management will cause unexpected downtime and an unsafe environment.  Datacenter Cable management include Designing the network or structured cabling, Document all new patch cables, Determine the length of the cable, and plan for future expansion

Designing the network or structured cabling

When we design a new network, we need to identify where we need to keep the switch and patch panel also which colored cable we need to use to connect each server and type of cables like Ethernet or fiber cable. Also during the design, we need to design our network for future growth. When we run cables use the side of the racks  and also use cable ties to hold groups

Document all new patch cables

Documenting all patch cables is very important in a large Datacenter because it will be very helpful for troubleshooting any issues in the future and if we did not document patch cable that will cause unexpected downtime for our servers

Determine the length of the cable

Measuring cable length will help us to reduce costs and also will help us to make our data center clean

Plan for future expansion

This is one of the important when we design a new network because whenever we need to add more servers in the data center we do not want to redesign the entire network to add more servers.