Onshore Java Development & Co-Development Expertise!

We Specialize In All Aspects of Java Development

Trusted – CI/CD – Agile – DevOps – Co-Development

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Create The Perfect Hybrid Java Development Team!

Intertech’s Java development and design consultants have deep knowledge and proven experience in providing guidance and development leadership in every aspect of modernization, integration and new-build, including design, architecture, development, delivery, and testing. If you use a mix of in-house and outsourcing, no matter where they are located, adding our consultants to your team can make the difference between on budget and on time and the alternative.

Java | Java Frameworks & Technologies You May Require

Intertech experts can help you and your team successfully work with Java and the wide range of associated technologies to design and develop systems and applications that improve your business processes, whether your team is made up of all in-house talent or a hybrid of in-house and on and offshore contractors.  

Core Java Technologies:

Java Standard Edition (Java SE): The core Java platform that provides the essential libraries, APIs, and tools for developing Java applications.

Java Enterprise Edition (Java EE): A set of specifications and APIs for building enterprise-level Java applications, including web applications, services, and more.

Java Development Kit (JDK): The software development kit that includes the tools needed for Java development, such as the Java compiler (javac) and the Java Virtual Machine (JVM).

Java Runtime Environment (JRE): The runtime environment that enables Java applications to run on a user’s machine.

Java Virtual Machine (JVM): The virtual machine that executes Java bytecode and provides platform independence.

JavaFX: A framework for building rich client applications with a modern UI in Java.

Java Servlet: A technology for developing web applications using Java on the server side.

JavaServer Pages (JSP): A technology for creating dynamic web content using Java.

JavaBeans: A component architecture for creating reusable Java components.

Enterprise JavaBeans (EJB): A component model for developing distributed enterprise applications in Java.

Java Message Service (JMS): A messaging API for sending and receiving messages between distributed systems.

Java Database Connectivity (JDBC): An API for connecting Java applications to relational databases.

Other Technologies That Work with Java:

Spring Framework: An open-source framework for building enterprise Java applications, including Spring Boot for creating stand-alone applications.

Hibernate: An Object-Relational Mapping (ORM) framework for database access in Java applications.

Apache Struts: A web application framework for building Java web applications.

JavaServer Faces (JSF): A framework for building user interfaces for Java web applications.

Apache Maven: A build automation tool for managing Java projects and dependencies.

Apache Tomcat: An open-source web server and servlet container for running Java web applications.

JUnit: A popular testing framework for Java applications.

Log4j: A logging framework for Java applications.

Apache Kafka: A distributed streaming platform that can be used with Java for real-time event processing.

Elasticsearch: A distributed search engine that can be integrated with Java applications for advanced search capabilities.

Apache Hadoop: A framework for distributed storage and processing large datasets, often used in big data applications.

Docker: A containerization platform that allows Java applications to run in isolated containers.

Front-End Technologies That Work with Java:

NOTE: Front-end technologies typically work independently of the back-end programming language. In the case of Java, various front-end technologies can be used to create dynamic and interactive user interfaces. Some of the most popular front-end technologies that work well with Java on the back end include:

Angular: Developed by Google, Angular is a robust front-end framework for building dynamic SPAs (Single Page Applications). It can work with Java back ends through RESTful APIs.

React: Developed by Facebook, React is a popular JavaScript library for building user interfaces. It can be used alongside Java back ends through RESTful APIs.

Vue.js:A progressive JavaScript framework for building user interfaces. Vue.js can work with Java back ends similarly to Angular and React.

jQuery: A lightweight JavaScript library that simplifies DOM manipulation and event handling. It can be used in conjunction with Java back ends to enhance web applications.

Bootstrap: A popular CSS framework that provides a set of pre-styled components and responsive layout options. It can be integrated with Java-based web applications to achieve a consistent and visually appealing design.

HTML5 and CSS3: While not frameworks or libraries, HTML5 and CSS3 are essential technologies for building web interfaces. Java back ends can generate dynamic HTML content, then styled using CSS.

Ember.js: An opinionated JavaScript framework for creating ambitious web applications. It can work with Java back ends through APIs.

Polymer: A JavaScript library for building reusable web components. It can be used with Java back ends to create modular and flexible user interfaces.

Thymeleaf: A server-side Java templating engine that seamlessly integrates Java code with HTML templates. It is commonly used with Java frameworks like Spring to generate dynamic web pages.

Consider an experienced outside perspective from our co-development experts when starting your next project.


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What are some of the Java development based libraries we use?

Java has a vast ecosystem of libraries that provide a wide range of functionalities and features. Here are some popular Java-based libraries to consider and used by our consultants...

Apache Commons: A collection of reusable Java components for tasks like string manipulation, file handling, math operations, etc.

Guava: Google’s open-source library that provides additional utilities for Java programming, such as collections, caching, and functional programming.

Jackson: A library for JSON processing that enables reading and writing JSON data.

Gson: Another popular library for JSON processing that allows converting Java objects to JSON and vice versa.

JUnit: A widely used testing framework for Java that facilitates unit testing.

Log4j: A logging library that allows developers to log messages from their applications.

Slf4j: Simple Logging Facade for Java, an abstraction over various logging frameworks like Log4j, Java Util Logging, etc.

Spring Framework: A comprehensive framework that offers various modules for dependency injection, MVC web applications, data access, and more.

Hibernate: An ORM (Object-Relational Mapping) library that simplifies database interactions for Java applications.

Apache POI: A library for reading and writing Microsoft Office documents like Excel, Word, and PowerPoint.

Joda-Time: A library that provides a better date and time API for Java.

Apache Lucene: A powerful text search engine library that facilitates indexing and searching documents.

Apache Tomcat: A widely used web application server and servlet container for Java-based web applications.

Ehcache: A popular caching library for Java that enhances application performance.

Apache CXF: A framework for building web services using Java.


These are just a few examples of the many Java libraries that help you save time and effort by leveraging pre-built functionalities and focusing on the core logic of their applications. Understanding your system is how Intertech helps. Consider adding one of our onshore leaders to your hybrid development team today.

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Which frameworks rely on Java?

Java works on a wide range of frameworks that cater to different application development needs. Some of the notable frameworks that rely on Java include...

Spring Framework: A comprehensive framework for building enterprise-grade Java applications, including Spring Boot for rapid application development.

Hibernate: An ORM (Object-Relational Mapping) framework that simplifies database interactions and enables developers to work with relational databases using Java objects.

JavaFX: A set of Java libraries for building desktop applications with rich graphical user interfaces.

Apache Struts: A popular framework for building web applications using the MVC (Model-View-Controller) architectural pattern.

JavaServer Faces (JSF): A component-based web framework for building user interfaces for JavaServer applications.

Java Servlet API: A standard API that allows developers to create servlets for handling web requests in Java web applications.

Java Persistence API (JPA): A Java standard for ORM that defines an interface for working with relational databases using POJOs (Plain Old Java Objects).

Spring Boot: A part of the Spring Framework, Spring Boot is designed to simplify the deployment and configuration of Spring applications.

Apache Wicket: A web application framework that allows developers to build complex, component-based web applications using Java and HTML.

Vaadin: A web application framework for building modern, data-driven user interfaces with Java.

Dropwizard: A lightweight framework for building RESTful web services using Java.

Apache Camel: A framework for integrating different systems using a wide range of integration patterns.

Play Framework: A full-stack web application framework for building scalable and lightweight Java web applications.

Vert.x: A reactive application framework for building high-performance, event-driven applications.

Grails: A web application framework that leverages the power of Groovy (a dynamic language for the Java Virtual Machine) on top of the Java platform.


These are just a few examples of the many frameworks available in the Java ecosystem. It’s important to remember that Java’s versatility and robustness have led to the development of various frameworks that cater to different application domains. Let us know if you required Java leadership or experienced assistance on your current or upcoming project.

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How do you use Java to model proprietary data so you can predict outcomes and forecast changes?

To use Java to model proprietary data and predict outcomes or forecast changes, you can follow these steps and consider some of the machine learning libraries and frameworks Java offers...

Important Steps To Follow:

1 – Data Collection and Preprocessing: Gather your proprietary data from its sources and preprocess it to ensure it is in a suitable format for analysis. Perform data cleaning, handle missing values, and transform data as needed.

2 – Data Exploration and Visualization: Use Java libraries like Apache Commons Math or JavaFX to explore the data visually and gain insights. Visualize data through charts or graphs to understand patterns and relationships.

3 – Feature Engineering: Select the relevant features (variables) from the data that are likely to have an impact on the outcomes you want to predict. Perform any necessary data transformations or create new features to improve predictive power.

4 – Data Splitting: Divide your data into training and testing sets. The training set will be used to train the predictive model, while the testing set will be used to evaluate its performance.

5 – Choose and Implement Predictive Models: Java provides various libraries and frameworks for machine learning, such as Weka, Deeplearning4j, and Apache Mahout. You can use these libraries to implement different machine learning algorithms like linear regression, decision trees, random forests, support vector machines, or neural networks.< 6 - Model Training: Train your selected model using the training data. The model will learn the relationships between the input features and the target variable (the outcome you want to predict).

7 – Model Evaluation: Evaluate the performance of your trained model using the testing set. Use appropriate evaluation metrics like accuracy, precision, recall, F1 score, or Mean Squared Error (MSE) based on the nature of the prediction task (classification or regression).

8 – Model Optimization: Fine-tune your model’s parameters and hyperparameters to improve its performance. Techniques like cross-validation and grid search can help find the best combination of parameters.

9 – Forecasting and Prediction: Once your model is trained and validated, use it to predict outcomes and forecast changes for new data instances. Feed input features to the model, and it will generate predictions based on the patterns it learned during training.

10 – Continuous Monitoring and Maintenance: As your proprietary data evolves, continuously monitor your model’s performance and update it as needed to ensure accuracy and relevancy.


Java’s versatility and the availability of various libraries make it a suitable choice for data modeling and predictive analytics tasks. Remember that successful data modeling and prediction require a combination of data science expertise and Java programming skills to effectively apply machine learning techniques to your proprietary data. Intertech can help you achieve your goals.

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What is Weka, Deeplearning4j, and Apache Mahout?

Weka, Deeplearning4j, and Apache Mahout are Java-based machine learning libraries/frameworks that cater to different aspects of machine learning and data analysis. Open and read the notes for an outline on each...

Weka:

Weka is a popular open-source machine learning software developed by the University of Waikato in New Zealand. It provides a comprehensive collection of machine learning algorithms for data mining and predictive analytics. Weka is written in Java and is widely used for educational, research, and industrial purposes.

Key Features:

  • User-Friendly Interface: Weka offers an easy-to-use graphical user interface (GUI) that allows users to perform various data mining tasks without writing extensive code.
  • Extensive Algorithms: It includes a wide range of machine learning algorithms, such as decision trees, support vector machines, k-nearest neighbors, neural networks, and more.
  • Data Preprocessing: Weka provides tools for data preprocessing, including handling missing values, feature selection, and data transformation.
  • Experimentation and Evaluation: Users can conduct experiments with different algorithms and evaluation metrics to compare their performance.
  • Integration: Weka can be easily integrated with Java applications, and it provides APIs for programmatic use.

Deeplearning4j:

Deeplearning4j (DL4J) is an open-source deep learning framework written in Java. It is designed to run on top of distributed computing frameworks like Apache Hadoop and Apache Spark, making it suitable for processing large-scale data sets. DL4J enables developers to build and train deep neural networks for various tasks, such as image recognition, natural language processing, and time-series analysis.

Key Features:

  • Deep Neural Networks: Deeplearning4j supports various deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep belief networks (DBNs).
  • Distributed Training: It allows distributed training across multiple GPUs and CPUs, making it efficient for training large models on massive datasets.
  • GPU Support: DL4J can leverage GPU acceleration for faster training and inference on compatible hardware.
  • Integration: The framework can be integrated with other Java-based projects seamlessly and can also be used in conjunction with Python-based libraries through Keras integration.

Apache Mahout:

Apache Mahout is an open-source project from the Apache Software Foundation focused on building scalable machine learning algorithms and libraries. Although it initially started as a project for machine learning on Apache Hadoop, it has evolved to support other distributed computing frameworks like Apache Spark as well. Mahout is primarily written in Java and aims to provide scalable solutions for large-scale data processing.

Key Features:

  • Scalable Algorithms: Apache Mahout offers scalable implementations of various machine learning algorithms like clustering, collaborative filtering, classification, and recommendation systems.
  • Distributed Processing: Mahout is designed to efficiently process large-scale data sets by leveraging distributed computing frameworks like Apache Hadoop and Apache Spark.
  • Integration: It can be integrated with other Apache projects and big data ecosystems, enabling seamless data processing and analysis.
  • Recommendation Systems: Mahout includes specialized algorithms for building recommendation systems, commonly used in applications like personalized product recommendations on e-commerce platforms.

In summary, Weka focuses on a comprehensive set of machine learning algorithms with a user-friendly interface, Deeplearning4j specializes in deep learning and is designed for large-scale data processing, while Apache Mahout emphasizes scalable machine learning algorithms and recommendation systems for big data environments. Consider Intertech when determining what is best for your company.

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What are the most interesting features of Java?

Java is a versatile and widely used programming language that offers numerous interesting features. Listed below are some of the most notable features of Java...

Platform Independence: Java is designed to be platform-independent, thanks to its “write once, run anywhere” (WORA) philosophy. Once compiled into bytecode, Java programs can be executed on any platform with a Java Virtual Machine (JVM).

Object-Oriented Programming (OOP): Java is a fully object-oriented language, which means it supports encapsulation, inheritance, polymorphism, and abstraction. This makes it easier to organize and structure code, leading to more maintainable and scalable applications.

Automatic Memory Management: Java uses a garbage collector to automatically manage memory, alleviating developers from manual memory allocation and deallocation. This helps in preventing memory leaks and improving memory efficiency.

Rich Standard Library: Java comes with a vast standard library that includes APIs for networking, file I/O, database connectivity, GUI development (Swing and JavaFX), multithreading, and more. This extensive library reduces the need for third-party dependencies for many common tasks.

Exception Handling: Java provides robust support for exception handling, allowing developers to handle errors and exceptions gracefully and maintain the stability of the application.

Multi-Threading Support: Java enables multi-threaded programming, allowing developers to create concurrent and parallel applications. This is beneficial for improving performance and responsiveness in modern applications.

Security: Java emphasizes security, making it a popular choice for building applications that require high security levels. It incorporates features like a security manager, classloaders, and bytecode verification to ensure a secure runtime environment.

Portability: The platform independence of Java allows applications to run on different systems without modification, making it ideal for cross-platform development.

Community and Ecosystem: Java has a large and active developer community, which has led to a vast ecosystem of libraries, frameworks, and tools that facilitate various aspects of application development.

Backward Compatibility: Java places great emphasis on backward compatibility, ensuring that newer versions of the language can run older Java programs without major modifications.

Performance Optimization: Java provides Just-In-Time (JIT) compilation, where the bytecode is translated into native machine code at runtime, improving the performance of Java applications.

Documentation and Resources: Java has extensive official documentation and a wealth of online resources, making it easy for developers to find help and learn the language.


These features, along with its simplicity, scalability, and robustness, have contributed to Java’s widespread use in various domains, including web development, enterprise applications, mobile apps, and more. If you would like to add an experienced Java consultant to your team, let us know.

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What are the alternatives to Java and why would you select a different technology ecosystem?

Several programming languages and technology ecosystems serve as alternatives to Java, each with its strengths and use cases. The choice of a different technology ecosystem over Java depends on the specific requirements and goals of a project. Listed below are some popular alternatives and reasons you might consider them...

Python: Python is known for its simplicity, readability, and ease of learning. It excels in data analysis, scientific computing, machine learning, and scripting tasks. If your project heavily focuses on data analytics or machine learning, Python might be a more suitable choice.

JavaScript/Node.js: JavaScript is a versatile language used for front-end web development, and with Node.js, it can also be used for back-end development. If you are building real-time web applications, single-page applications, or microservices architecture, JavaScript and Node.js provide a powerful combination.

C#/.NET Core: C# is similar to Java and runs on the .NET Core framework. It is commonly used for Windows desktop applications and enterprise-grade web applications. If you are targeting Windows platforms or need deep integration with Microsoft technologies, C#/.NET Core could be a better fit.

Go (Golang): Go is a language designed for simplicity, performance, and scalability. It is well-suited for building backend services and concurrent applications. If you prioritize speed and efficiency in systems programming, Go might be a compelling alternative.

Ruby on Rails: Ruby on Rails is a web development framework known for its developer-friendly syntax and rapid development capabilities. If your project is focused on building web applications quickly with less boilerplate code, Ruby on Rails could be a good choice.

Swift: Swift is Apple’s language for iOS and macOS app development. If you are building native mobile applications for Apple devices, Swift is the primary language recommended by Apple.

Kotlin: Kotlin is a modern language that runs on the Java Virtual Machine (JVM) and is fully interoperable with Java. It provides enhanced features, conciseness, and null safety, making it a viable alternative for Android app development or any JVM-based projects.

PHP: PHP is a widely used server-side scripting language for web development. If you are working on legacy projects or need to integrate with existing PHP-based systems, PHP remains a relevant choice.

Rust: Rust is a systems programming language that emphasizes safety, performance, and memory safety. It is a strong contender for performance-critical applications and low-level systems programming.

Elixir: Elixir is a functional programming language built on top of Erlang’s ecosystem. It excels in building highly concurrent and distributed systems, making it a strong choice for applications with many concurrent users.


The decision to select an alternative technology ecosystem over Java depends on various factors, such as project requirements, development team expertise, scalability needs, performance considerations, and platform compatibility. Each ecosystem has its niche and strengths, so it’s essential to evaluate these factors and choose the technology that best aligns with the project’s goals and long-term vision. Speak with our team to help you make decision. It never hurts to have an experienced second opinion from a trusted partner.

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What is the Java WORA feature?

Java WORA stands for "Write Once, Run Anywhere." It is a fundamental principle of the Java programming language that emphasizes its platform-independence capability. The concept of WORA is one of the key features that contributed to Java's popularity and success...

The idea behind Java WORA is that you can write Java code once on any platform and then run it on any other platform that has a compatible Java Virtual Machine (JVM). This is achieved through the following process:

Compilation: Java source code is compiled into an intermediate form called bytecode. Bytecode is platform-independent and represents a set of instructions for a virtual machine rather than a specific hardware architecture.

Java Virtual Machine (JVM): Each platform, such as Windows, macOS, or Linux, has its implementation of the JVM. The JVM interprets the bytecode at runtime and converts it into machine code specific to the underlying operating system and hardware.

Execution: The JVM allows Java programs to run on any platform that has a compatible version of the JVM. This means that as long as the JVM is available for a particular platform, the same Java program can be executed without modification.

The WORA principle also provides several benefits:

  • Portability: Java applications can be easily moved and executed on different platforms without modification. This portability simplifies software deployment and reduces the need for platform-specific versions of the software.
  • Cross-Platform Development: Developers can write Java applications on one platform (e.g., Windows) and test and deploy them on multiple platforms (e.g., Windows, macOS, and Linux) without rewriting the code for each platform.
  • Consistency: Java’s platform independence ensures that the behavior of the application remains consistent across different platforms, leading to a more uniform user experience.

It’s important to note that while Java WORA is a powerful feature, some platform-specific interactions (e.g., accessing OS-specific features or hardware) might require additional platform-specific code or libraries. Nonetheless, the WORA principle remains a significant advantage for Java developers and makes Java a popular choice for building cross-platform applications.

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What must be known about the JVM when developing with Java?

To effectively work with Java, developers must have a good understanding of the Java Virtual Machine (JVM) and its essential characteristics. Here are the key aspects that one should know about the JVM...

Platform Independence: The JVM enables Java’s “Write Once, Run Anywhere” (WORA) capability. It allows Java bytecode to be executed on any platform that has a compatible JVM installed, making Java applications portable across different operating systems.

Bytecode Execution: The JVM executes Java bytecode, which is an intermediate representation of the compiled Java source code. When a Java program is run, the JVM interprets the bytecode or uses Just-In-Time (JIT) compilation to convert bytecode into native machine code for faster execution.

Memory Management: The JVM handles memory allocation and garbage collection, which is the process of reclaiming unused memory to prevent memory leaks and improve memory efficiency. Developers don’t need to manage memory manually in Java due to the automatic memory management provided by the JVM.

Java API Access: The JVM provides access to the Java API (Application Programming Interface), a vast collection of classes and libraries that facilitate various functionalities such as I/O operations, networking, data structures, and more.

Security Management: The JVM incorporates a security manager that ensures applications run within a secure environment. It grants or denies permissions based on a security policy, preventing potentially harmful operations from being executed.

ClassLoader: The JVM’s ClassLoader is responsible for loading Java classes at runtime. It searches for class files and dynamically loads them into the JVM as needed.

JIT Compilation: The JVM uses JIT compilation to improve performance. It translates bytecode into machine code just before execution, optimizing it for the specific hardware and architecture on which the program runs.

Performance Monitoring and Profiling: The JVM provides various tools for performance monitoring and profiling, allowing developers to analyze application behavior, identify bottlenecks, and optimize code for better performance.

Different JVM Implementations: There are several implementations of the JVM, such as Oracle HotSpot, OpenJ9, and GraalVM. Each implementation may have different optimizations and performance characteristics.

Tuning and Configuration: Developers can tune the JVM through command-line options and environment variables to optimize performance, memory usage, and garbage collection behavior.

Interoperability: The JVM supports interoperability with other languages, such as Kotlin, Scala, and Groovy, which can also be compiled to Java bytecode and executed on the JVM.

Version Compatibility: It’s important to be aware of JVM version compatibility. Different JVM implementations support different versions of the Java language, so developers must ensure that the Java version used to compile the bytecode is compatible with the target JVM version.


Understanding the JVM and its functioning is essential for Java developers to write efficient, secure, and portable applications. It allows developers to harness the power of Java’s platform independence and leverage the benefits provided by the JVM’s memory management, security, and performance optimizations.

Intertech Is Different Than Other Java Development Firms

Why Are We Different? Because we ask the unexpected questions and listen. In our 30 years of software consulting, often, what you think you need is different than what you really need. This is how we help you!

Add the experience your team needs.

Build The Best Team

We bring together the right people at the right time to strengthen your team.

Scalable Resources

Whether needed full or part time to achieve success, we mix the team to fit the requirements.

Spool Up Quickly

Our consultants have multiple project experiences and know how to get to work on your schedule.

We Begin With Everything Necessary To Ensure The Project Team Is Complete

The discovery stage is crucial when setting up the correct team to deliver your project successfully. At times this has been completed before our introduction to the project. In these cases, you may have determined that you only need specific roles added to your project teams, and that is just one way we can help augment your team. Other times clients ask us to take on this role to get an expert outside perspective. Either way, this phase is essential and must be considered to be confident that you have the right talent in place and that what you are building or modifying integrates with your existing system.

Tools & Techniques We Employee:

    • Scope Detailing
    • Analysis
    • Technical Evaluation
    • Initial Requirements Defined
    • Define Delivery Strategy and Roadmap
    • Leveling Workshops (For Your FTE Team-Members – As Needed)

Building A Strong Foundation Is The Key To Success

Converting your vision into reality requires a clear picture of requirements and the experience necessary to set a strong foundation for your new reality. Using the Software Rrequirements Analysis, the design phase encompasses how the application and users interact with each other, with the current infrastructure, and with other applications. In addition, this phase deals with architecture and UI/UX, so all the elements come together seamlessly.

Areas Considered During The Design Phase:

    • Infrastructure
    • Architecture
    • User Interface & Experience Design
    • Usability Testing

We Ensure All The Pieces Are In Place For A Successful Composition

When selecting your team, we ensure it fits your needs, not ours. Of course, top talent is a key to our success, but a proper blend is a formula for project success. At Intertech, we specialize in talent that does more than heads-down programming, but we also understand not everyone on the team needs to be a senior or billing every hour of the day. So, using what we learned in stage one and how stage two comes together, we define your team and estimate the timeline, making sure to keep you updated every step, so there are no surprises.

Areas Considered In The Build Phase:

    • Technical Requirements
    • Timeline
    • Development
    • Quality Assurance (QA) and Testing
    • Incrememntal Product Release (Faster to Market)
    • Refinement & Deployment

We Make Sure You Are In Control From Beginning to End

Following the final release, we make sure you are in control. Whether you keep us around as a trusted partner or have us hand it off to your team, we understand that a solid knowledge base is one of the most important aspects of a project. Therefore, following deployment and before we hand over the keys, we always include 30 days of monitoring and mentoring to ensure a smooth roll-off and that your internal team is in control.

Areas Considered In The Completion Phase:

    • Support & Lifecycle
    • Documentation
    • Knowledge Base Retention
    • Team Roll-Off

Our Dedicated IT Recruiting Department Augments Our Consulting Services Perfectly

If you trust your project and recruitment to someone, wouldn’t it be wise to select a firm with a proven record since 1991, helping major companies like GE Healthcare, NASA, Best Buy, and others modernize or pivot to new technologies? Utilizing a proven formula that combines world-class software development, hands-on education and mentoring, and dedicated IT recruiting, Intertech’s clients have found success building software while building their in-house team for the long haul.

Areas Considered In The Recruit & Hire Phase:

  • Ad Placement
  • Technical Testing
  • Personality Assessment
  • Technical Team Interview
  • Hand-off To You For Internal Assessment

 

 

Custom Software Development

Intertech’s custom CI/CD, Agile & DevOps-based software development services combine everything you need, including assessments, design, architecture, development, testing, delivery, and deployment.

Application Modernization & API Customization

Whether evaluating your platform and determining if it should be kept, extended, or replaced… or diving right in to update and customize, we spool up quickly.

Front End (Client-Side) Development

Your front end is where the user gets to know you, from the graphical user interface to everything that makes up the experience. Our consultants specialize in the tools and techniques required to ensure you create an application your employees and customers love to use with the functionality you expect.

Back End (Server-Side) Development

Your front end may be what everyone sees and interacts with, but your back end is doing all the work. Let Intertech’s consultants help you get every response served up quickly and accurately while injecting the experience you need so the tough questions are asked.

Web Framework: 2-Tier or 3-Tier & API-Driven

Whether you have decided on a more traditional 2-tier framework (Client Side & Server-Side), a more independently tiered (3-tier) framework (Client-Side, Processing-Logic-Side, & Data-Side), or an API-Driven | Microservices architecture, our experts can help you create what you need or assist your team with design and development.

Summary Of All Software Consulting Services

Micro-Size Your Monolith with Architecture-Driven Solutions

Let us help your team convert your monolith to a manageable micros-sized, service-based suite with proven application architecture expertise.

Intelligent Business Process Automation (BPA) & Optimization

Whether it is part of the modernization process or a completely new solution, automating and optimizing your workflows to eliminate manual tasks is what we do. Let’s implement technology-based solutions that retain your best talent, eliminate manual errors, and make your job easier.

Azure & AWS Cloud Application Migration & Integration Services

Integration onto the cloud and away from existing infrastructure can take many forms, whether you have selected a multi, hybrid, or a single-service solution. We create and integrate your applications no matter which option you have chosen. As a Microsoft Gold Partner and AWS development partner, we bring incites that can help from start to finish.

Agile, CI/CD & DevOps Resource Library

We don’t just consult companies on Agile; we live Agile and the various forms of development agility. It’s how we run our business, manage our day-to-day operations, and drive the faster deployment of the necessities.

Decision-Makers Corner

Tips and tricks to help you succeed as an IT manager and thought leader!