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Founded in 2017, our team at TLVTech is an all-around technology partner that helps businesses scale and conquer their goals. We are a team that’s committed to supporting all kinds of businesses, creating solutions for various functions, and providing insightful consultations to best streamline operations. We let our clients have full focus on their core functions while we handle their tech needs.
With that being said, we’re extremely excited to announce fantastic news that was made possible by our gracious clients. Just recently, TLVTech won The Manifest Company Award for the most reviewed and recommended B2B partner in New York City this 2024! According to their latest report, our team is among the city’s finest leaders for the following services:
The Manifest is a business news and how-to website from Washington DC. The resource is known for its annual award cycle that aims to spotlight outstanding service providers across different industries worldwide. The awardees are chosen based on quantitive criteria that focus on the volume of honest testimonials and endorsements each firm earned over the preceding twelve months.
We’d like to seize this opportunity to express our sincerest gratitude to our invaluable clients. Your support is what helped us unlock this milestone.
On behalf of the entire TLVTech team, thank you so much for believing in us!
Interested to know more about our work? Connect with TLVTech and let’s schedule a meeting for your project.
Global users expect speed and reliability. We design fullstack systems that scale seamlessly across regions and clouds—fast, resilient, and ready for global growth.
- AI gained popularity around 2023, with the rise of AI art contributing majorly to its surge. - Generative AI played a significant role in this by demonstrating its ability to mimic human creativity in art, music and text. - Artificial Intelligence (AI) is the ability of computer systems to mimic human intelligence, performing tasks that usually require human intellect. - Two main types of AI are Narrow AI (good at single tasks, like Siri) and General AI (can understand and execute any intellectual task a human can). - Examples of AI include voice recognition systems (Alexa), language translation apps (Google Translate), and recommendation engines (Netflix, Spotify). - AI delivers speed and precision, and works without downtime, notably increasing productivity in industries such as manufacturing. - AI's history includes key contributors like Alan Turing. Modern AI's history can be explored in depth in resources like the 'Introduction to Artificial Intelligence' PDF. - AI has been integrated into various apps such as Google Assistant, Microsoft Cortana, Databot and Lyra, enhancing app functions. - AI's robot era began with the first AI, "Logic Theorist", developed by Allen Newell and Herbert A. Simon in 1955. - In a comprehensive view, AI encompasses systems like digital assistants (Siri, Alexa) and chess-playing computers, fitting into categories like narrow AI and general AI.
- Microservices in Java break an application into independent parts; each microservice has its own purpose and function. - They improve operational efficiency and scalability in the Java environment and allow changes to one service without affecting the others. - A Java microservice is a standalone application, communicating via a well-defined API and performing a distinct function. - Implementing microservices in Java involves design, coding, database setup, and testing phases. Best practices include building for failure, automating setups, maintaining service independence and continuous monitoring. - Java microservices have pros such as scalability, resilience, support for multi-language and database while challenges include managing independent components, risk of ending in a tangled service web without careful design. - Java microservices are recommended for complex projects and cross-platform due to its open-source nature compared to C# microservices. AWS enhances Java's capacity to create complex applications while Node.js is preferred for services handling many requests. - Mastery of Java microservices presents career opportunities in various sectors. Emphasizing Java-based microservice experience and versing in tools like Spring Boot is crucial for job seekers. - Java provides a platform-agnostic structure favoured in microservice architecture and implements components such as Service Discovery and Service Registry in distributed systems. - Optimization of Java microservice involves refining code, system design and creating efficient databases to enhance performance. - Balanced load, diligent optimization, and vigilant performance monitoring achieve top-notch Java microservices. - Key tools for Java microservices development are Spring Cloud, Maven or Gradle. Best practices for development revolve around designing for failure, data isolation, and creating stateless services.
