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Let’s delve into why Dev Technosys was our best hiring partner and how their developers’ knowledge of networking components.
When we began our ambitious AI initiative, having the appropriate development team on board was key. After assessing several vendors, we chose Dev Technosys to assist us in hiring developers based in Ireland — an important strategic move that became fundamental to our success. Ireland’s expanding tech landscape, paired with Dev Technosys’ international network of talent and vast knowledge of AI technologies, provided us with the competitive edge we sought. But what really caught our eye was their developers’ experience in computer networking components, cutting-edge protocols such as TCP and UDP, and cloud computing platforms like Google Cloud and Microsoft Azure Fundamentals.
Let’s delve into why Dev Technosys was our best hiring partner and how their developers’ knowledge of networking components and cloud services drove our AI development process.
1. Skill in Computer Networking Components
AI applications, particularly those dealing with real-time data, depend immensely on computer network component and software components that are highly resilient and optimized. The programmers recruited through Dev Technosys illustrated a very strong knowledge base of hardware and software elements of computer networks, such as:
Routers
Switches
Network Interface Cards (NICs)
Firewalls
Network Operating Systems
Protocol stacks
Their capability to develop and debug intricate systems enabled us to have low-latency communication among different AI modules and our distributed databases.
2. Strong Understanding of OSI Model Layers
Knowledged about OSI model layers is imperative to make scalable AI systems which effectively communicate on a network. Irish developers recruited by Dev Technosys had a complete understanding of all the 7 OSI model layers:
Physical Layer
Data Link Layer
Network Layer
Transport Layer
Session Layer
Presentation Layer
Application Layer
They were able to trace data flow, identify network bottlenecks, and confirm our OSI layer optimizations for our AI modules. This foundation enabled them to develop fault-tolerant, high-performance apps that supported our AI infrastructure.
3. Expertise in TCP vs UDP Protocols
One of the major distinguishing factors in our AI project was supporting real-time as well as bulk data transfer — involving an in-depth understanding of the TCP and UDP distinction.
The group utilized UDP (User Datagram Protocol) successfully for real-time data streams where speed was more crucial than reliability, e.g., video analytics and live sensor data. TCP (Transmission Control Protocol) was utilized for modules that had large datasets and needed error-checking and retransmission — e.g., AI model updates or secure cloud communications.
Understanding the distinction between udp and tcp difference assisted us in optimizing performance, bandwidth savings, and ensuring data integrity in our cloud-based AI offerings.
Whether it was the TCP vs. UDP decision-making or optimizing communication protocols for each situation, Dev Technosys developers always made intelligent decisions that served our interests.
4. Cloud Computing Skills: Google Cloud & Microsoft Azure Fundamentals
Since our AI platform had to be easily scalable, had to have real-time compute capabilities, and had to be multi-cloud deployed, the developers must possess strong cloud abilities. Dev Technosys provided us with engineers who are Google Cloud course-profficient and well-versed in Microsoft Azure Fundamentals. Their cloud skills encompassed:
Google Cloud Course Skills: Collaboration with Compute Engine, BigQuery, Cloud AI, and networking solutions available on Google Cloud Platform (GCP).
Microsoft Azure Fundamentals Knowledge: Familiarity with major services such as Azure Machine Learning, Azure Virtual Network, and Azure Blob Storage.
Their exposure to Google Cloud computing course material resulted in cloud integration being seamless and affordable, while having a firm foundation in Azure Fundamentals allowed us to function across platforms without any hiccups.
These developers easily utilized cloud networking elements, managed firewalls, virtual routers, load balancers, and made sure that AI apps operated with high uptime and accessibility.
5. Proximity to Qualified Talent in Ireland
Ireland has been the hub for technology for Europe with major cloud providers, cybersecurity companies, and AI pioneers having offices there. Partnering with Dev Technosys, we got access to this wealth of technical expertise.
Irish-based developers have solid academic credentials and professional certifications. They were already qualified in such fields as:
Computer network elements and architecture
Cloud services via practical Google Cloud and Azure training
Security and network protocols via actual scenarios
Final Thoughts
Hiring developers through Dev Technosys proved to be a strategic decision for our AI project. Their developers were not only coders—they were experienced in networking devices, were familiar with OSI model layers, could differentiate between TCP and UDP, and were certified in Google Cloud courses and Microsoft Azure Fundamentals.
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