Choosing the right database technology could at best put that business on the path of growth or adversely return the business to the era of manual operations.
This is simply because a Database play a crucial role in modern applications in the manner data are created, stored, updated, deleted.
Why is Database Necessary?
As mentioned above, database enable businesses store, organize, and manage structured or unstructured data efficiently.
Structured Data: This entail when data/information is entered in an arranged format such as rows, columns within any relational database
Unstructured Data: It is a non-fixed data arrangement i.e. a non-relational database with difficulty to search for information using traditional SQL queries.
More so, here are some of the necessity of having a database for your business but not limited to –
Management of Data – Not only does it store data but can retrieve and manipulate large amount of data systematically;
Data Integrity – Encryption, authentication is possible and limited access control;
Informed Decision – Generate report and analyze trends for better decision making;
Competitive advantage – Database allow businesses to analyze market trends, customer behaviour, competitor strategies and provide a competitive edge; and
Business continuity – With database, backup and recovery systems prevent data loss when there is system crash or failure.
Understanding the Key features of SQL Concept and How it can Relate to Business Need.
Structured Query Language (SQL) – This database is relational in nature. It ensures compliance with data consistency through Atomicity, Consistency, Isolation and Durability (ACID).
Examples of SQL Database; MySQL, PostgreSQL, SQL Server, Oracle
Some Features of SQL Database are as follow;
1. Scale; Scales vertically (adding more power to a single server). Suitable for applications with moderate to high data consistency needs.
2. Data Consistency and Availability; Follows ACID (Atomicity, Consistency, Isolation, Durability) principles, ensuring data integrity. Best for banking, financial transactions, and sensitive applications.
3. Flexibility; Uses structured query language (SQL) for complex queries and joins. Better when relationships among data are strong.
4. Performance; Efficient for complex joins, aggregations, and structured data queries.
Challenges of SQL Database
SQL database scale vertically by adding more CPU, RAM to a single server rather than horizontally that add more servers and thereby limit growth;
It experiences bottleneck performances as a result of high traffic and large datasets;
It requires a predefined schema thus, making changes difficult;
Complex joins and queries on massive datasets can slow down performance;
Indexing is required but can become inefficient as data grows.
Understanding the Key features of No-SQL Concept and How it Can Apply to Business Need.
Unstructured Query Language (NoSQL) – They are frequent at using various data models e.g. Document, graph-based storage and key-value.
Examples of NoSQL Database; Mongo (a document-based), Cassandra (a column-based), Redis (key-value) and Neo4j (a graph-based).
Features Involves;
Scale; Scales horizontally thereby add more servers to distribute load. It is ideal for large-scale applications with high read/write demands.
Data Consistency and availability; Typically follows BASE (Basically Available, Soft state, Eventually consistent) principles, prioritizing availability over strict consistency.
Flexibility; Uses flexible query models (JSON, key-value, graph) that work well for hierarchical or rapidly changing data structure.
Performance; Faster for high-volume read/write operations, distributed systems, and unstructured data.
Challenges to Expect using No-SQL Database
NoSQL does not have a universal query language.
No strict standards for schema design, indexing or transactions.
NoSQL databases are not optimized for complex queries or joins across multiple datasets.
Developers are familiar with SQL therefore struggle with NoSQL’s different data models.
Each NoSQL database has different query languages and configurations, requiring specialized knowledge.
Hybrid Approach – Combining SQL and NoSQL
This is an art of bringing both SQL (relational) and NoSQL (non-relational) databases together to leverage the strengths of each.
e.g. an e-commerce platform may use SQL for order processing and NoSQL for customer behavior tracking.
Hybrid approach is ideal for businesses that require both structured transactional data management (SQL) and scalable, high-performance data handling (NoSQL).
By strategically using both technologies, organizations can enhance performance, scalability, and efficiency in data-driven applications.
Would you like help designing a hybrid database architecture for your project? Contact us
Challenges of a Hybrid Approach
Data Synchronization – Keeping SQL and NoSQL databases in sync.
Complex Architecture – Managing multiple databases increases system complexity.
Higher Maintenance Costs – Requires expertise in both SQL and NoSQL technologies.
Ensuring Data Consistency is become more difficult
Selecting the right use cases for each requires deep architecture planning before implementation. And not all data types are clearly suited for SQL or NoSQL.
Best Use Cases
SQL; Financial systems, inventory management, CRM, Enterprise Applications, etc.
NoSQL; Big data, Real-time analytics, Content management (Social media), Internet of Things (IoT) and Recommendation systems.
Hybrid Approach; E-commerce (SQL for transactions, NoSQL for product catalog and caching).
Recommendations SQL and NoSQL Database
It is necessary that your informed decision reflect positively on your business after carefully subscribing to the presented facts of the two (2) query languages.
When to adapt SQL Database
If you aim at complex queries, structured data, and strong consistency
When to choose NoSQL Database
If your interest is in scalability, flexibility, and high-speed read/write operations.
Finally, choosing between SQL, NoSQL or both depends on the specific requirements of any project.
SQL is best for structured data and transactional consistency, while NoSQL excels in scalability and flexibility.
In some cases, a hybrid approach may be the optimal solution. Understanding the strengths and limitations of both technologies ensures the right database choice for any application.
Many individuals and businesses rely on legacy system (outdated software) that may not support new technologies effectively, thereby creating unredeemable limitations.
If you want to randomly ask why the use of outdated software, experts have concluded that individuals and business CEOs are either refraining from the cost implication, the technological trainings required, migration of data that could be time consuming and the risk of loss, thereby impacting negatively on such business.
But why are new technologies important and not keep an outdated software? While legacy systems still function, they tend to hinder growth and innovation.
So, when new technologies are introduced, overall security is enhanced, efficiency is in place and adaptability is possible ensuring a long-term business success.
However, EIYBASE Solutions as an IT-based Solutions that provide answers through our published articles created as post to challenges faced by developers and users or business CEOs such as Today’s Topic “Legacy System Challenges and Two Best Way-Out according to Software Expert”.
And beyond today’s topic, we have also provided solutions/guides to some challenges/problems, and difficulties encountered in;
Software designs, deployment, upgrades and trainings to acquire its skills
Database designs and management for both developers and end-users
Computer Networking
Digitalized Audio Sound Installation/Maintenance and Services
Music Production and
Suspend Ceilings innovations.
Kindly visit our blog page to find or research more on the above topics/categories
Introduction to Legacy Systems and challenges
A legacy system can be said to be any outdated hardware, software, or technology infrastructure that is still used by individuals or businesses despite the invention of recent technologies in the digital age.
In today’s business world, the kind of software we deploy largely determine how productive or not a business become.
It is on this note that critical or careful consideration is prioritized for efficiency, productivity, growth in business just to mention a few
But, many individual/business CEO have in one way or another ignore basic element functions before picking a business software
A software expert once said, you ought to carefully evaluate software for your individual or business needs, and its scalability/usability are its key focus.
And further conduct trial, check out its user reviews and finally consider its cost, functions and protection against hackers.
3 most popular examples of legacy systems include:
Old Mainframe Applications usually COBOL and are banking systems APP
First categories of OS such like Windows XP, Unix-based servers, Vista
Enterprise Resource Planning (ERP) Systems that are no longer supported
Challenges includes;
Shortfall of skill programmers that still use old programming languages which is adaptable with legacy systems
As a result of its unpatched software, there is high level risk to cyber attacks
It lacks the ability to handle growing business due to its slow performance in processing
There is high cost of migration and modernisation of Legacy systems
Legacy system incur high cost in maintenance as its outdated software and infrastructure are difficult to get.
The birth of Software APP for as a business need
Although, the origin of software programs for businesses globally was first initiated in 1950s byJ. Lyons & Co. (A British tea company) that was mainly used for payroll and inventory management because they were frustrated with the manual processing from discoveries listed below;
Lack efficiency – it required manpower to deliver task and this is time consuming.
Cost effective – It allows increase in manpower, more cost was incurred
Unreliable output – human error was present when task was delivered
Lack of communication – no technology at that time, thereby created vacuum in workflow
Prone to attacks – restricting of unauthorized users to data was impossible
Complexity in large scales – they could not determine how well and soon business needs can grow
Competition – since there were no technology, business owners or individuals didn’t think of innovation to strife better in the labor market.
The Uniqueness of New Technologies to Business Breakthrough
We have briefly explained above why new technologies are important when making the choice of software to boost the overall performance of that business.
Moreover, not so many end users consider incorporating intuitive design elements, such as drag-and-drop functionality or customizable dashboards.
Unknown to users that this can lead to a more engaged workforce and reduces the learning curve, ultimately ensuring greater productivity and user satisfaction. Just think of this!
You can further make a research on Tomasz Bąk of the best 10 examples of Business Software to boost your business processes, operations and customer relationships.
The 2 Most Neglected Functions in Selecting Business Software
Scalability of business software – What is it about?
This is when the performance of a software is not compromised and yet having the capacity to handle a growing amount of work, an ability to accommodate user’s and data storage expansion, transaction growth. e.g. cloud-based systems that permits easy upgrades
Usability of a software – What you should know
It shows how well an end-user can deliver any giving task using the software. When it is not friendly, it can lead to inefficiency both for the task and the user of the software.
Thus, a user with little or no knowledge on coding must consider a graphical front-end user interface. e.g. a software with a simple intuitive user interface (SI-UI)
Certainly, after knowing these, further explore solutions by researching and comparing software options.
Now, let me show you the two (2) best approach when software end-users ignore an important area on scalability and usability issues in deploying new business technology software if you are a victim.
2 Best Solutions in Making the Right Choice Software to Boost Business Growth
Pick a Scalable Solutions: One of the most effective strategies is opting for cloud-based software solutions.
These solutions provide the necessary flexibility and scalability that traditional on-premises software may lack.
Is your business an e-commerce company that might utilize a cloud-based inventory management system?
And want it to expand its capacities as the product range increases or when seasonal demand spikes.
Benefits – The cloud infrastructure allows the business to adjust resources dynamically without incurring significant capital expenses or Service interruptions, thus ensuring smooth scaling in-line with business growth.
Explore User-Centric Design: Prioritizing user experience through user-centric design is a critical factor in enhancing usability.
A financial services firm might involve actual users in the prototype phase of a new CRM system.
By conducting user testing sessions where employees can provide feedback on the interface; from navigation to workflows.
Finally, these two best approach implementations can significantly impact the successful adoption of new business technology.
AI is poised to revolutionise sound engineering, offering tools that enhance creativity, improve efficiency, and democratise access to high-quality production.
Today, AI-driven tools and technologies are the best shot in transforming how sound is created, mixed, and mastered digitally, leading to unprecedented levels of efficiency, creativity, and precision in our sound and music production.
Therefore, our intention is to help you explore the needs on the future of digitalised mix through the lens of Artificial Intelligence (AI), pointing to the followings;
Its Historical context with importance of maintaining the human element
Relevance of AI in sound and music production
Transformative potentials of AI in sound engineering
Resources for effective deployment of AI in sound and music production is explained
Examples of AI Solutions that is frequently used in Live Concerts and Events
Practical Tips to implement AI solutions in your sound and music production; Simpler than you could think
My Thought on AI in sound engineering
However, if you desire to push the boundaries of what is possible in advanced digitalised mix by powering AI tools and models, exploring the Resources for Effective Deployment of AI in sound engineering should be your goal.
But I am quite sure you may not grab all the idea from this article unless you first visit our previous article on Sound Engineering: Tips for mastering digitalized mixwhich will broaden your knowledge on the need and beauty of a digital mix.
Its Historical Context in Sound Engineering
The journey of sound and music production has been marked by significant technological advancements that have revolutionised the industry.
From the era of analog recording to the digital revolution and now the integration of AI, each of these phases has brought unique innovations in its own way.
Understanding this historical context is crucial in appreciating the current landscape [AI] and maintaining the essential human element [that is, despite its digital capabilities, successful production still required human creativity and judgment] in music production.
The Analog process which was highly manual, requiring skilled engineers and musicians to achieve the desired sound with integral collaboration often working in the studio.
Next, the introduction of digital sound and music production brought about a paradigm shift. Digital Audio Workstations (DAWs) like Pro Tools emerged and some other tools
The Digital technology allowed for precise editing, layering, and manipulation of sound.
Now, the emergence of AI technologies began to be integrated into music production tools and processes. BUT HOW?
AI-driven plugins and software gives room for advanced functionalities such as automated mixing, mastering, and sound design.
Musicians, sound engineers and music producers are adapting to the new tools, incorporating digital techniques while striving to retain the organic feel of music.
Relevance of AI in Sound and Music Production
First, it is necessary to open up a broader perspective to you our reader on the future of sound engineering with AI, making it highly relevant and informative thereby delving into the latest trends and technologies
Some of its unwavering relevance are;
Contemporary theme of digitalisation that provide insights into the cutting-edge advancements that are transforming the field of sound engineering
With AI’s tools, there is so much enhancement in sound and music production for mastering digitalised mixes
AI opens new possibilities for artists and producers e.g. Amper Music platforms that sets parameters, aiding a more robust creative process for all
AI allows musicians and sound engineers to focus more on the artistic aspects of their work.
Its impact on the music industry will spontaneously grow, fostering innovation and expanding the horizons to more advanced digital productions.
AI helps in generating chord progressions, melodies, and harmonies, expanding creative possibilities.
6 AI’s Transformative Potential in Sound and Music Production
Automated audio editing and correction.
AI can assist in live sound settings, adapting to acoustical changes and optimising audio in real-time.
AI can analyze and adjust levels ensuring a polished mix with little of human intervention
AI is used in interactive art installations to process and generate sound in response to audience movement and interaction
It is accessible to novice producers, enabling high-quality production with less technical expertise.
Preservation of audio quality without degradation over time.
5 Major Resources for Effective Deployment of AI in Sound and Music Production
By leveraging these resources to be discussed here, musicians, sound engineers and music producers can effectively deploy AI in sound and music production, enhancing creativity, automation, and quality in the industry. The resources are as follows;
AI Frameworks and Libraries: Are software tools that provide developers with pre-built functions and structures.
They efficiently build, train, and deploy artificial intelligence models for various applications. E.g TensorFlow, PyTorch, Keras
2. Datasets and Data Sources: They are audio recordings and associated metadata used to train AI models for tasks such as audio classification, sound synthesis, and music generation. E.g. MIDI files
3. Cloud Computing Services: Available in the delivering of computing resources like sound and music software, AI tools over the internet.
E.g. AWS AI services, Google cloud AI platform, Microsoft Azure AI.
4. AI-powered Tools and Software: Application programs equipped with AI capabilities, designed to automate tasks, perform complex operations like music composition.
E.g Open AI Jukebox, LANDR, AIVA
5. Community and Educational Resources: These are necessary for integrating AI in sound engineering.
Why?
They provide essential knowledge, collaborative opportunities, skill development, and access to tools and ethical guidelines, fostering innovation and effective application of AI technologies.
E.g. AI and music conferences (ISMIR), online courses and tutorials (Coursera, edX, Udacity), GitHub repositories
Moreover, it is been proven that one of the primary reasons for integrating AI into your sound and music production is to transform sound engineering, thereby making complex tasks more efficient and opening up new creative possibilities.
SOME Examples of AI Solutions being used in Live Concerts and Events
Google’s WaveNet developed by DeepMind – A speech and audio recognition software for identifying, isolating and processing speech elements.
OpenAI’s MuseNet – An AI model that helps generate music in various styles and instruments. It therefore uses deep learning to compose original pieces that is generated
iZotope’s Ozone – A Recognized AI-powered mastering software. It automatically analyses audio tracks and suggest adjustments to equalization, compression, and other effects to achieve a professionally polished sound mix
Practical Tips – How to implement AI in sound engineering.
Input and Analysis: The audio file is input into the AI system, which performs speech recognition and source separation to identify and isolate different elements.
Processing: The isolated elements are processed individually with AI-driven tools for noise reduction, EQ, and compression.
Mixing: The processed elements are recombined, with AI providing real-time adjustments to maintain balance and clarity.
Output: The final mix is exported with metadata tags generated by the AI for easy reference and further processing.
MY THOUGHT ON AI IN SOUND ENGINEERING
By understanding and embracing these technologies, sound engineers can leverage on AI, the faster your accomplishment, fulfillment and achievements thereby ensuring that you stay at the forefront of an ever-evolving industry.
Effective soundproofing with suspended ceilings is crucial for creating environments that are conducive, productive, concentration, and comfort.
Suspended ceilings provide a versatile platform for implementing these solutions that can significantly reduce airborne and impact noise transmission within a space.
In residential settings for instance, it can improve privacy by minimizing noise between rooms or floors, allowing individuals to enjoy peace and quietness within their homes.
And in commercial spaces, such as offices, studios, or entertainment venues, soundproofing is essential for creating conducive environments for work, recording, or performances without disturbances from external sources.
HISTORY OF SOUNDPROOFING WITHOUT SUSPENDED CEILINGS SOLUTION
The history of soundproofing dates back to Ancient times when the techniques to mitigate noise and control sound were thick walls/stones, heavy curtains, dense materials (mud bricks), vaulted ceilings and amphitheater designs.
The introduction of sound-absorbing materials such as fiberglass insulation, acoustic panels, and foam baffles revolutionized the field of soundproofing, enabling architects, engineers, and designers to create environments with precise control over sound quality and acoustics.
Today, soundproofing continues to evolve with advancements in materials science, digital technology, and architectural design.
Therefore, the history of soundproofing without the formal study of acoustics solutions demonstrates humanity’s ongoing quest to create quieter, more comfortable, productive and acoustically optimized environments.
But before we unveil how suspended ceiling takes the front row by blocking out external noise from entering a space or preventing sound from escaping into adjacent spaces, let’s first understand some self-discovering principles of productive soundproofing.
3 PRINCIPLES OF SOUNDPROOFING
How does sound travels and interact with different materials
AIR – Sound absorption in air occurs when sound waves encounter surfaces or objects that absorb or scatter the energy, reducing the intensity of the sound.
SOLID – Solids are denser and allowing sound waves to travel faster and with less attenuation.
POROUS MATERIAL – This absorption mechanism reduces the reflection and transmission of sound waves, making porous materials effective for soundproofing.
How do you identify the source of the noise
EXTERNAL NOISE – It originates from traffic, aircraft, construction activities, industrial machinery, and environmental factors such as wind and rain
INTERNAL NOISE – Talking, music, footsteps, plumbing, electrical equipment, or appliances are avenues of creating internal noise
IMPACT NOISE – Usually caused by physical impact or vibrations, such as footsteps, dropping objects, or mechanical equipment
AIRBORNE NOISE – It include speech, music, television, appliances, and outdoor activities
How do you select appropriate soundproofing materials and techniques?
Check for any source of noise; the frequency, intensity, and duration of the noise will help determine the most effective soundproofing strategies.
Assess the Space; the type of surfaces the presence of openings and the activities taking place in the space will give a clue.
Familiarize with the principles of soundproofing that are absorption, blocking, and isolation.
Explore the wide range of soundproofing materials available on the market.
Consult with Experts if necessary; they can offer tailored recommendations
Whether you desire to create a peaceful home, office, and event halls, worship centers, recording studio, or minimize noise even in a commercial space, soundproofing offers effective solutions with Suspended Ceiling Systems.
SOUNDPROOFING TECHNIQUES
Soundproofing techniques whose aim is to create quieter and more comfortable environments. Here are 7 techniques that appropriately will boost sound production in any allotted space or environment
Sealing and Insulation: Sealing helps to prevent sound leakage while Insulation are materials (fiberglass, mineral wool, or acoustic foam) that fills cavities and dampen sound vibrations.
Mass-Loaded Vinyl: MLV is a versatile soundproofing material that ensure an effective blockage of airborne sound transmissions
Decoupling: It separates structural elements and minimize sound transmission through physical contact. Resilient channels, acoustic hangers, or isolation pads are instrumental in creating the separation between surfaces, reducing the transfer of vibrations and impact noise.
Double Glazing: To reduce noise infiltration from outside sources, there is need to upgrade to double or triple-pane windows with laminated or acoustic glass .
Acoustic Windows: The secondary window panels or plugs develop further barrier against sound transmission
Strategic Room Design: If minimizing sound reflections and reverberations is your goal, you should optimize the layout and design of your space such as the placement of furniture and decorations to absorb or distribute sound waves effectively.
Suspended Ceiling: Create space between the original ceiling and the suspended ceiling tiles, allowing for the installation of sound-absorbing materials such as acoustic panels that absorb airborne sound waves and reduce reverberation within the space, effectively improving acoustics and minimizing noise transmission.
WHY SUSPENDED CEILING LEAD OTHERS
As earlier said that soundproofing aims at the reduction or controlling of the transmission of sound waves between floors or rooms using suspended ceiling solutions.
Suspended ceiling is best preferred beacuse of its power of integration with other soundproofing techniques.
Furthermore, suspended ceilings offer the flexibility to integrate additional soundproofing techniques
REASONS FOR ITS UNIQUE QUALITIES
Suspended ceilings provide an excellent opportunity to incorporate sound-absorbing insulation materials such as fiberglass, mineral wool, or acoustic foam.
These materials can be installed above the suspended ceiling tiles to absorb airborne sound and reduce reverberation within the space.
The installation of resilient channels, rubber isolators, or spring-loaded hangers between the ceiling suspension grid and the building framework reduce the transfer of vibrations and impact noise.
Mass-loaded vinyl (MLV) barriers can be installed above the suspended ceiling to add mass and density, enhancing the soundproofing performance. MLV sheets can be laid on top of the ceiling grid
Suspended ceiling systems offer the flexibility to incorporate specialized acoustic window panels and tiles with enhanced sound-absorbing functionalities
With suspended ceiling systems, acoustic sealants can be applied to seal gaps, block sound transmission between ceiling tiles and the surrounding structure.
4 COMMONLY USED MATERIALS FOR MANUFACTURING SUSPENDED CEILING
Mineral wool – It is non-combustible with excellent fire resistance properties, making it a safe and durable choice.
Mineral wool is also resistant to moisture, mold, pests thereby it is suitable for installation in humid or damp environments
2. Fiberglass – They are lightweight, durable, and easy to handle, making them suitable for installation in a wide range of environments.
3. Perforated metal panels – It is durable, fire-resistant, and easy to clean. It is made from thin sheets of metal (aluminum or steel) that have been perforated with small holes or patterns.
4. Sound-absorbing fabrics – They are lightweight, flexible, and easy to install, making them suitable for a variety of ceiling designs and configurations. Sound-absorbing fabrics also come in a wide range of colors, textures, and patterns
A LAN that we usually know is a network of interconnected devices within a LIMITED geographic area, such as an office building, school, or home.
These devices are Computers, Printers, Servers (Switch, Router), and other networked device (Network Interface Cards)
LAN – At Its Best in 2024
Local Area Network (LAN) create room for local file sharing, printer sharing, networked gaming, video streaming, and collaboration tools within organizations and households amongst others.
This is huge Limitations to the demands of the digital age economy.
MEANING OF CLOUD NETWORKING
Cloud networking refers to the use of cloud-based infrastructure and services to facilitate communication, sharing and exchanging of DATA between devices and applications over the internet.
Cloud Networking – At Its Best
It extends network infrastructure and services over the internet, offering a wide range of benefits for modern organizations at different locations with its MODELS; IaaS, PaaS and SaaS
Major Differences of LAN Networking and CLOUD Networking
Scope Coverage:LAN – Operates within a limited geographical area, such as a single building, campus, or office space
WHILECloud Networking – Seamless interaction over the internet, connecting resources and users on a global scale dispersed locations
Ownership and Control:Traditional LAN – Operated and controlled by a single organization or entity, allowing for direct management and customization of network infrastructure
WHILE Cloud Networking – control is shared between the organization and the cloud provider, with varying levels of customization depending on the service model
Infrastructure: Local Area Network – Relies on physical hardware components as mentioned above deployed on-premises within the organization’s premises
WHILECloud Networking – Utilizes virtualized infrastructure hosted in data centers, operated by cloud providers with resources provisioned and managed remotely over the internet. Its hardware resources are abstracted from users.
Security and Compliance: LAN – Security controls and compliance measures are primarily managed by the organization’s IT team with direct control over access policies, encryption, and data protection mechanisms
WHILE Cloud Networking – Security and compliance responsibilities are shared between the organization and the cloud provider, with providers offering robust security features, compliance certifications, and data protection measures.
Challenges of the Traditional LAN Networking
Traditional LAN setups often face limitations in scalability, that is accommodating growing numbers of devices and users may not be feasible. To add new device(s) or expanding the network infrastructure may require unplanned investments in hardware upgrades or reconfiguration.
Managing and maintaining a traditional LAN infrastructure can be resource-intensive and time-consuming. The maintenance overhead can increase as the network grows in size and complexity.
Limited Accessibility: Traditional LANs are typically confined to a single physical location or premises, restricting access to network resources for remote users or distributed. This limitation can hinder collaboration, productivity, and flexibility, especially in modern work environments where remote work and mobile devices are increasingly common.
It setups often rely on centralized hardware components such as switches or routers, which can act as single points of failure. If either of them fails, it can disrupt communication and access to network resources for all connected devices, leading to downtime and productivity losses.
Implementing redundant hardware, backup links, and failover mechanisms to mitigate the risk of network outages requires additional investment and maintenance efforts. Also, to achieve seamless failover and recovery processes in case of hardware or network failures can be complex and time-consuming.
Benefits of Moving From LAN to Cloud Networking Solutions
The overall transitioning from LAN to cloud-based solutions will empowers organizations for innovations, competitions and achieving greater success in today’s digital economy. If you so desire to take over the global stage, here are Five (5) key benefits of moving from LAN to the CLOUD
Cloud networking solutions offer virtually limitless scalability, allowing organizations to rapidly scale resources up or down based on demand can dynamically adjust resources to match requirements, ensuring optimal performance and cost efficiency to client(s).
Flexibility: It helps organization to deploy new applications, adjusted services, and infrastructure resources in minutes rather than weeks or months which enables businesses to respond rapidly to changing market conditions, customer demands, and competitive pressures, thereby gaining a competitive edge in the market.
Cost Efficiency: Cloud services operate on a pay-per-use or subscription-based pricing model, allowing businesses to avoid upfront capital expenditures on hardware and infrastructure. Additionally, cloud providers benefit from economies of scale, enabling them to offer services at lower costs compared to on-premises (LAN) alternatives.
It permits users globally to access applications, data, and services from anywhere with an internet connection. This is enjoyable when organization(s) have distributed teams, remote workers, or international operations.
Reliability: Its guarantee continuous availability of services and data, even in the event of hardware failures, natural disasters, or other disruptions because it offers robust backup and disaster recovery solutions in the event of data loss or downtime.
Requirements: From Traditional LAN to CLOUD Networking
It may seems complex and tasking to moving from LAN to CLOUD but when successful, it can be all 100% satisfying and fulfilling.
Now, let’s consider the TWO categories you need as an organization to move your Limited LAN Networking to Unlimited Cloud-based Networking
Cloud Service Models: These are different categories of cloud computing services provided by cloud providers.
These models define the level of control and responsibility that the provider and the customer have over various aspects of IT infrastructure and services.
Examples include;
a. Infrastructure as a Service (IaaS): It allow renting of infrastructure components such as virtual machines (VMs), storage, and networking on a pay-as-you-go basis
Usage Areas: Development and testing environments, website hosting, data backup and recovery, disaster recovery, and scalable web applications.
b. Platform as a Service (PaaS): Provides a platform and environment for developers to build, deploy, and manage applications without the complexity of managing underlying infrastructure.
Usage Area: Web application development, mobile app development, API development, IoT applications, and data analytics platforms.
c. Software as a Service (SaaS): Allowing users to access and use applications via web browsers or APIs without the need for installation or maintenance.
Usage Areas: Email and collaboration tools (e.g., Office 365, G Suite), Customer Relationship Management (CRM) systems (e.g., Salesforce), Enterprise Resource Planning (ERP) systems, Human Resource Management (HRM) software, and content management systems (e.g., WordPress).
2. Cloud Deployment Models: They provide organizations with different options for hosting, managing, and accessing cloud resources based on their specific requirements, preferences, and constraints.
By choosing the right deployment model, organizations can optimize cost, performance, security, and scalability to meet their business objectives effectively.
Examples are;
Public Cloud: Infrastructure and services are owned and operated by third-party cloud providers and made available to the general public.
Private Cloud: Infrastructure and services are dedicated to a single organization and hosted either on-premises or by a third-party provider.
Hybrid Cloud: Combines public and private cloud environments, allowing data and applications to be shared between them.
Multi-Cloud: Involves using services from multiple cloud providers to avoid vendor lock-in, enhance redundancy, and leverage best-of-breed solutions.
Community clouds: Offer shared infrastructure, cost-sharing opportunities, and tailored services to meet the specific needs of the community members.
It involve sharing cloud infrastructure and resources among organizations with common interests or requirements, such as government agencies etc.
Best/Trusted Migration Strategies from LAN to CLOUD Networking
Let’s discuss here the three simplest approaches in moving your organization’s LAN Network to CLOUD Network.
Lift-and-Shift:
Also known as “Re-hosting,” involves migrating existing on-premises (LAN) applications and infrastructure to the Cloud with minimal modifications.
This approach aims to replicate the existing environment in the cloud simply by deploying virtual machines (VMs) or containers that mirror the on-premises (LAN) setup.
Benefits: Lift-and-shift offers a fast and straightforward migration path, minimizing disruption to existing workflows and reducing upfront investment in re-architecting applications.
It can also provide immediate access to cloud scalability and manageability.
2. Re-Platforming:
Involves making minor modifications to existing applications or infrastructure during migration to optimize them for cloud environments.
This approach aims to take advantage of cloud-native features and services without completely redesigning the application architecture.
Benefits: cost savings, improved scalability, and reduced maintenance overhead compared to (LAN) deployments while minimizing the complexity and risk associated with full application refactoring.
3. Refactoring:
Also called re-architecting which involves redesigning and rebuilding applications from scratch to fully leverage cloud-native architectures, services, and best practices.
Benefits: Refactoring embraces cloud-native architectures and services and organizations can modernize legacy applications, accelerate innovation, and stay competitive.
More so, you do not have to worry on how to carry out the migration successfully as we have also put in place the relevant steps to follow in achieving your aims.
General Steps Involved in Migrating from Traditional LAN to CLOUD-Based Networking
Steps to follow on Lift-and-Shift
Look at for current on-premises infrastructure, applications, and dependencies.
Select a cloud provider and determine the appropriate cloud services (e.g., Infrastructure as a Service – IaaS) for hosting the workload.
Lift existing virtual machines or server images to the cloud using tools like AWS VM Import/Export, Azure Site Recovery, or Google Cloud Migrate for Compute Engine.
Configure networking settings, security groups, and access controls to align with cloud best practices.
Validate the migrated environment to ensure functionality and performance meet expectations.
Steps to follow on Re-Platforming
Identify components of the application stack can be optimized for its deployment, it could be databases, middleware, or messaging queues.
Evaluate cloud-native alternatives for these components (e.g., managed database services, serverless computing) and assess compatibility with existing applications.
Modify the application code or configurations to integrate with cloud-native services and leverage platform-specific features, such as auto-scaling or managed backups.
Migrate the re-platformed components to the cloud, ensuring compatibility and functionality is maintained throughout the process.
Test and validate the re-platformed application to ensure performance, reliability, and security meet requirements.
Steps to follow on Refactoring
Assess the existing application architecture, dependencies, and business requirements to identify areas for improvement and modernization.
Define a target architecture that leverages cloud-native services, such as micro-services, serverless computing, container orchestration, and managed databases.
Rewrite or redevelop application components using cloud-native development frameworks, tools, and services, such as AWS Lambda, Azure Functions, or Google Kubernetes Engine.
Containerize application components using Docker containers and orchestrate them with container management platforms like Kubernetes or Docker Swarm.
Deploy the refactored application to the cloud, leveraging cloud provider services for deployment automation, monitoring, and scaling.
Continuously monitor and optimize the refactored application to ensure performance, reliability, and cost-effectiveness.
Network Performance Optimization
This is a key part that should not be joked with when transiting from Traditional LAN to CLOUD.
When considering the essentials for ensuring that applications and services for any Cloud-Based Networking Solutions deliver a responsive and reliable user experience to both organizational users, day-to-day clients and maybe visitors, there are strategies for optimization.
Kindly Contact us on tested strategies for optimizing network performance in any cloud-based network.
Future Trends on Cloud Networking
The expected trends in cloud networking represent significant advancements that will shape the way organizations design, deploy, and manage their networks in the coming years.
With these trends, organizations can unlock new capabilities, improve agility, and deliver innovative services to meet evolving business demands.
What are these future TRENDS and do we need them?
5G Networks
High-Speed Connectivity: 5G networks offer significantly faster speeds and lower latency compared to previous generations of mobile networks.
This enhanced connectivity enables a wide range of applications and services that demand real-time data transmission and ultra-low latency.
It also reduces latency and bandwidth usage, enabling new use cases such as
Autonomous vehicles
Augmented reality (AR)
Industrial Internet of Things (IIoT) applications.
2. Serverless Architectures:
Serverless architectures allow developers to focus on writing code without managing underlying infrastructure.
Serverless computing models offer cost efficiency by charging only for the resources consumed during function execution, eliminating the need to provision and manage servers.
it enable rapid scaling to handle fluctuating workloads, ensuring optimal performance and responsiveness without overprovisioning resources.
3. AI-Driven Network Automation:
It leverages on machine learning algorithms to analyze network traffic, predict patterns, and automate routine network management tasks.
AI algorithms help to optimize resource allocation and traffic routing to improve network efficiency, reduce congestion, and enhance application performance.
You can also visit Linda Rosencrance is a freelance writer/editor/author in the Boston area.
Rosencrance has over 30 years’ experience as an investigative reporter on what to expect on Cloud Networking trend
