What are Containers? Tips on How to Optimize and Improve Operating Systems

Introduction

Over the years, containers have revolutionized IT infrastructure by providing a more efficient and portable approach to application development, testing, and deployment.

Unlike traditional virtual machines, containers encapsulate all the necessary components for running applications independently, including executables, libraries, and configuration files.

This allows developers to package their applications once and run them seamlessly across various environments, from development to production.

What are containers?

Containers are a form of operating system virtualization that captures all the necessary components for running an application, including its code, dependencies, libraries, and configurations. Unlike traditional virtual machines, containers share the host operating system's kernel, which makes them lightweight and allows for a faster start up times.

Benefits of Containers

Containers offer several key benefits that have revolutionized the way applications are developed, deployed, and managed.

Firstly, containers are lightweight in nature. Compared to traditional virtual machines, containers consume fewer resources, making them highly efficient in terms of resource consumption. This efficiency translates into cost savings and improved performance, as containers can be deployed more quickly and with lower overhead.

Another significant advantage of containers is their portability. Containers can run consistently across different environments, from development to production, without the need for modifications. This ensures that applications behave consistently regardless of the underlying infrastructure, leading to greater reliability and ease of deployment.

Scalability is also a notable benefit of containers. With containers, organizations can easily scale applications up or down based on demand. This flexibility allows for more efficient resource allocation and enables organizations to handle fluctuating workloads with ease, ultimately improving the overall scalability and responsiveness of their applications.

Containers provide strong isolation between applications, ensuring that each container runs independently without interference from other containers on the same host. This isolation enhances security and stability by minimizing the impact of issues in one container on others, thereby improving overall system reliability.

Lastly, containers offer flexibility, particularly in supporting microservices architectures. By allowing applications to be broken down into smaller, manageable components, containers enable organizations to adopt a more modular approach to development and deployment. This flexibility facilitates agile development practices and empowers teams to develop, deploy, and scale individual components independently, leading to faster innovation and improved time-to-market for applications.

Overall, containers offer a conducive environment for collaboration with external software development partners, facilitating agility, consistency, and security throughout the development lifecycle. By embracing container technology, organizations can leverage the expertise of external partners while maintaining robust security and governance controls.

Container Use Cases

Containers serve various purposes across different stages of application development and deployment.

Firstly, they facilitate the migration of existing applications into modern cloud architectures. Organizations can containerize their legacy applications, thereby capitalizing on the benefits of containerization that include an enhanced portability and scalability, while modernizing their IT infrastructure.

Additionally, containers enable the refactoring of existing applications to better leverage container-native features. This involves restructuring the application architecture, breaking down monolithic applications into microservices, and optimizing components for container deployment. By refactoring applications for containers, organizations can improve scalability, flexibility, and maintainability.

Moreover, container-native applications are specifically designed and built to run within containerized environments. These applications leverage containerization benefits from the ground up, including lightweight deployment, portability, and scalability. By developing container-native applications, organizations can accelerate software development cycles, improve resource utilization, and enhance agility in delivering new features and services.

Furthermore, containers play a crucial role in supporting microservices architectures and enabling continuous integration and deployment (CI/CD) practices.

Microservices architectures rely on containers to provide the necessary isolation and encapsulation for individual services, allowing organizations to scale services independently and deploy updates more frequently.

Additionally, containers streamline CI/CD pipelines by offering consistent environments for development, testing, and production. This enables automated deployment workflows and facilitates faster time-to-market for software releases. Overall, containers offer versatile solutions for various use cases in modern application development and deployment workflows.

Security Considerations for Containers

Securing containerized environments presents unique challenges due to their dynamic nature and scale. Containers often have shorter lifespans and are rapidly created and destroyed, making traditional security approaches insufficient. Additionally, the sheer volume of containers in production deployments introduces complexity in monitoring and managing security.

To address these challenges, a granular approach to security is essential, leveraging the principle of defense in depth. Granularity involves applying security controls at multiple layers of the containerized environment, from the container image level to runtime behaviour monitoring. Defense in depth emphasizes having multiple layers of security controls to mitigate risks effectively.

Implementing security controls at various layers ensures comprehensive protection against threats. At the container image level, organizations can employ automated vulnerability scanning tools to detect and remediate vulnerabilities in container images before deployment. Additionally, policy checks can be enforced to verify that container configurations adhere to security best practices, reducing the risk of misconfigurations that could be exploited by attackers.

Furthermore, runtime security measures, such as network policies and service meshes, help monitor and control traffic between containers and external networks, enforcing segmentation and access controls. These mechanisms enhance visibility into container behavior and mitigate the risk of unauthorized access or lateral movement within the containerized environment.

Tips on Optimizing and Improving Operating Systems

Operating systems play a crucial role in supporting containerized environments, and optimizing them can significantly enhance the performance, security, and reliability of containerized applications.

Performance optimization techniques are essential for maximizing resource utilization and ensuring efficient container operations. Resource allocation and management strategies involve allocating appropriate CPU, memory, and storage resources to containers based on their workload requirements. Additionally, kernel tuning and optimization techniques can improve the overall performance and responsiveness of the operating system, ensuring optimal support for containerized applications. Container networking and storage optimization further enhance performance by optimizing network configurations and storage access patterns to minimize latency and maximize throughput.

Continuous monitoring and performance tuning are essential practices for maintaining optimal operating system performance in containerized environments. Utilizing monitoring tools enables organizations to track resource utilization and performance metrics in real-time, allowing them to identify bottlenecks and optimize resource allocation accordingly. Analyzing and optimizing container orchestration configurations, such as those in Kubernetes or Docker Swarm, ensures that containers are deployed and managed efficiently, optimizing resource utilization and workload distribution.

Security best practices are critical for securing operating systems in containerized environments. Regular patching and updating of operating system components help mitigate vulnerabilities and ensure that the environment remains protected against security threats. Implementing access controls and secure configurations, such as limiting user privileges and enforcing least privilege principles, further enhances security by reducing the attack surface and preventing unauthorized access to system resources. Additionally, utilizing security monitoring and incident response mechanisms enables organizations to detect and respond to security incidents promptly, minimizing the impact of security breaches.

Automation and infrastructure as code (IaC) practices streamline operating system management and ensure consistency and reproducibility across environments. Leveraging automation tools for infrastructure provisioning and configuration management automates repetitive tasks, such as server provisioning and software installation, reducing manual effort and minimizing the risk of human error. Implementing version control and CI/CD pipelines for operating system configurations enables organizations to track changes, test configurations, and deploy updates efficiently, ensuring that operating systems remain up-to-date and secure. These practices promote agility and scalability in managing containerized environments while maintaining robust security and performance standards.

Conclusion

In conclusion, containers have emerged as a transformative technology for modern IT infrastructure, offering unparalleled flexibility, scalability, and efficiency in application development and deployment. Throughout this guide, we've explored the definition, benefits, and use cases of containers, highlighting their role in facilitating the migration, refactoring, and development of applications in cloud-native environments. Moreover, we've delved into the security considerations inherent in containerized environments, emphasizing the need for a granular and defense-in-depth approach to container security, along with the implementation of automated vulnerability scanning and policy checks.

Furthermore, we've provided insights into optimizing and improving operating systems to support containerized environments effectively. By focusing on performance optimization techniques, continuous monitoring, security best practices, and automation, organizations can ensure the optimal operation of their containerized applications while maintaining robust security measures.

As we look to the future, continuous improvement and adaptation will remain essential in containerized environments. The landscape of container technologies and operating system optimization is constantly evolving, with ongoing advancements aimed at further enhancing performance, scalability, and security. By staying up-to-date of these developments and embracing emerging technologies and best practices, organizations can continue to leverage the full potential of containers while ensuring the resilience and efficiency of their IT infrastructure.

How would you use containers to improve your operating system? Let us know in the comments below.

If you are looking for a trusted software development partner to assist your business with container management, software solutions, or AI implementation, feel free to contact us. We are a team of experts who can help you design and implement the best custom software solutions for your business. 

Written by Natalia Duran

—

ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to Fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.

What is Troubleshooting? Ultimate Guide for Smarter Problem Solving

Introduction

In today's day and age, troubleshooting plays a vital role in ensuring the smooth operation of various systems, from computers and software to complex machinery. It's the systematic process of identifying, analyzing, and resolving issues that arise, helping to minimize downtime, prevent disruptions, and maintain productivity. In this article, we'll delve into the fundamentals of troubleshooting, explore its importance in equipment management, examine common challenges faced in the field, and discuss modern approaches and strategies for effective problem-solving.

What is Troubleshooting?

Troubleshooting is a structured way to fix things when they're not working properly. Whether it's a machine, computer, or software, troubleshooting helps pinpoint why something isn't functioning as expected.

The first step is to gather information about the problem. This includes understanding what's wrong and any error messages or signs of trouble. Once you have this information, you start checking different parts or components to find the source of the problem.

Why is it Important?

Effective troubleshooting is a vital component of equipment management and maintenance. It helps to minimize downtime, prevent costly breakdowns, and ensure that operations run smoothly. Despite proactive maintenance efforts, the possibility of equipment failure cannot be entirely eliminated. Hence, having the skills to troubleshoot and solve issues quickly is essential for anyone responsible for equipment operation and upkeep.

Key Components of the Troubleshooting Process

Troubleshooting is like detective work for tech issues, aiming to pinpoint and fix problems with computers, software, or other electronic systems. Here's a breakdown of how it works:

1. Identifying the Problem: Trouble-shooters start by gathering info about the issue. They figure out what's wrong, when it happens, and where.

2. Describing the Problem: By detailing the issue, trouble-shooters can narrow down the cause. They ask questions like: What are the symptoms? When does it happen? Where does it happen? Is it repeatable?

3. Finding the Likely Cause: Sometimes there are many possible reasons for a problem. Trouble-shooters start with the simplest explanation and work from there. They might use a method like split-half troubleshooting to narrow down the options.

4. Making a Plan: Once they have an idea of what's wrong, trouble-shooters make a plan to fix it. They test their ideas until they find a solution. If nothing works, they go back to Step 3 and try again.

5. Implementing the Solution: Once they're confident they've found the problem, trouble-shooters fix it. They test to make sure the solution works, and the system is back to normal.

6. Analyzing the Results: Sometimes fixing one problem causes another. Trouble-shooters keep an eye on things to make sure their solution doesn't create new issues.

7. Documenting the Process: Finally, trouble-shooters write down everything they did. This helps others fix the same problem in the future and keeps a record of what worked and what didn't.

Remember, troubleshooting is often a trial-and-error process. It might take a few tries to get it right. But with patience and persistence, most issues can be resolved.

Additionally, there are plenty of resources available for troubleshooting, like technical manuals, online guides, and help from other experts. And for really tough problems, there are specialists who can help dig deeper and find the root cause.

Preventing Future Occurrences 

Updating Software and Hardware

Regularly updating software and hardware is essential for addressing vulnerabilities, improving performance, and adding new features. By staying up-to-date with the latest updates and patches provided by manufacturers, you can ensure that your systems are more robust and less prone to issues caused by outdated software or hardware.

Improving Maintenance Procedures

Implementing robust maintenance procedures can help identify and address potential issues before they escalate into significant problems. This includes regular inspections, cleaning, and calibration of equipment. By conducting protective maintenance on a scheduled basis, you can prolong the lifespan of your equipment and minimize the risk of unexpected failures.

Providing User Training

Many technical issues arise due to user error or lack of understanding of how to use equipment or software properly. Providing comprehensive training to users can help them become more proficient in operating systems, troubleshooting common issues, and following best practices. Educated users are less likely to make mistakes that could lead to system failures or malfunctions.

Implementing Monitoring and Alert Systems

Using monitoring and alert systems can help detect anomalies or potential issues in real-time, allowing you to take proactive measures before they develop into more significant problems. These systems can include performance monitoring software, sensors, alarms, and automated alerts that notify you of any deviations from normal operation.

Regular Reviews and Audits

Conducting regular reviews and audits of your troubleshooting processes and systems can help identify areas for improvement and ensure that preventive measures are effectively implemented. This may involve analyzing past incidents, identifying recurring issues, and implementing corrective actions to address underlying causes.

Expertise and Experience

Software development partners often bring a wealth of expertise and experience in developing robust, scalable, and secure software solutions. By leveraging their knowledge, they can help identify potential areas of improvement in your existing systems and suggest preventive measures to mitigate risks.

Common Troubleshooting Challenges

Troubleshooting in technology involves addressing common challenges like software bugs, user errors, integration issues, network problems, security concerns, hardware malfunctions, and managing third-party dependencies. Let's explore how these challenges are identified and resolved in practice:

1. Software Bugs: Software bugs refer to errors, flaws, or glitches in a program's code that cause unexpected behavior or system malfunctions. These bugs can range from minor issues, such as display errors, to critical problems that result in system crashes or data corruption. Resolving software bugs often requires identifying the specific lines of faulty code and implementing patches or updates to correct them.

2. User Errors: User errors occur when individuals make mistakes while interacting with software or hardware systems. These errors can include entering incorrect data, selecting the wrong settings, or misunderstanding how to use a particular feature. Addressing user errors may involve providing clear instructions, offering training sessions, or implementing user-friendly interfaces to reduce the likelihood of mistakes.

3. Integration Issues: Integration issues arise when different software applications, systems, or platforms fail to work together seamlessly. This can occur due to compatibility issues, data format mismatches, or communication failures between integrated components. Troubleshooting integration issues often requires identifying the points of failure and implementing solutions such as software updates, API adjustments, or middleware configurations.

4. Network Problems: Network problems encompass issues related to network connectivity, performance, or reliability. These problems can range from slow internet speeds and intermittent connections to network outages or security breaches. Troubleshooting network problems involves diagnosing issues at various network layers, such as physical, data link, network, transport, and application layers, and implementing solutions such as router reconfiguration, firewall adjustments, or bandwidth optimization.

5. Security Issues: Security issues refer to vulnerabilities, breaches, or unauthorized access attempts that compromise the confidentiality, integrity, or availability of data or systems. These issues can include malware infections, phishing attacks, data breaches, or system exploits. Addressing security issues requires implementing robust cybersecurity measures, such as antivirus software, firewalls, encryption protocols, and user authentication mechanisms, and regularly updating and patching systems to protect against emerging threats.

6. Hardware Issues: Hardware issues involve problems with physical components such as servers, computers, peripherals, or networking devices. These issues can include hardware failures, malfunctions, or compatibility issues. Troubleshooting hardware issues often requires diagnosing faulty components, replacing defective parts, or performing hardware upgrades to improve performance or compatibility.

7. Third-Party Dependencies: Third-party dependencies refer to external software libraries, frameworks, APIs, or services that a system relies on to function properly. Issues with third-party dependencies can arise due to version conflicts, API changes, or service disruptions. Troubleshooting third-party dependency issues may involve updating dependencies to compatible versions, adjusting API integrations, or finding alternative solutions if a dependency becomes obsolete or unreliable.

By addressing these common troubleshooting challenges effectively, organizations can minimize downtime, enhance system reliability, and ensure a seamless user experience.

Modern Approaches to Troubleshooting

In the modern age, troubleshooting has evolved to embrace innovative tools and methodologies aimed at enhancing efficiency and effectiveness. This includes leveraging technologies like remote diagnostics, which enable technicians to access and diagnose complex systems remotely, thus saving time and resources.

Additionally, machine learning and artificial intelligence (AI) are increasingly being used to analyze vast amounts of data and identify patterns, enabling proactive issue detection and resolution before they escalate. However, successful troubleshooting also hinges on other crucial factors such as comprehensive training programs that empower technicians with the necessary skills and knowledge to tackle diverse problems.

Moreover, fostering a culture of continuous improvement within organizations encourages innovation and experimentation, leading to the development of new and improved troubleshooting strategies. Clear communication channels between technicians, customer support teams, and end-users play a pivotal role in swiftly addressing issues and ensuring a seamless troubleshooting process.

Furthermore, promoting collaboration across different departments and teams facilitates cross-functional troubleshooting and problem-solving, enabling holistic solutions to complex issues.

Regular reviews and evaluations of troubleshooting processes are essential to identify areas for refinement and optimization, ensuring that organizations remain agile and adaptive in their approach to problem-solving.

Conclusion

In conclusion, troubleshooting is crucial for keeping things running smoothly in our tech-focused world. By using new tools and methods, learning from mistakes, and working together, we can solve problems efficiently and keep systems working well. With a positive attitude and a willingness to learn, we can tackle any challenges that come our way and keep things running smoothly.

What are your thoughts on troubleshooting? Let us know in the comments below.

If you are looking for a trusted software development partner to assist your business with troubleshooting, software solutions, or AI implementation, feel free to contact us. We are a team of experts who can help you design and implement the best custom software solutions for your business. 

Written by Natalia Duran

—

ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to Fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.

Change Management Tips for Successful Software Development Projects

Introduction

Change management is a pivotal aspect of organizational success, facilitating the seamless implementation of new initiatives and ensuring alignment with strategic objectives. Within software development, effective change management plays a crucial role in guiding teams through evolving technologies and customer needs. This comprehensive guide explores various facets of change management in software development, ranging from fundamental principles to practical strategies for successful implementation. By addressing topics such as stakeholder engagement, change prioritization, risk management, and process evaluation, organizations can navigate the complexities of software development with confidence and achieve optimal outcomes.

What Is Change Management

Change management is a structured method used to handle changes within an organization. It encompasses the coordination of resources, utilization of tools, and management of knowledge to drive organizational success effectively.

This systematic approach is crucial not only in general organizational operations but also in software development. Change management is essential for progression and improvement. It ensures that changes are implemented smoothly and contribute positively to the advancement of the development process.

Why is Change Management Important?

Optimal Efficiency: Change management directs organizations towards optimal efficiency by steering their focus towards prioritizing the most impactful tasks aligned with the business strategy. Instead of spreading resources thinly across numerous endeavours, it ensures that efforts are concentrated on the most strategic objectives.

Risk Management: At its core, change management is synonymous with risk management. It entails evaluating the potential risks associated with implementing changes and determining whether they align with the company's overarching goals. Changes that fail to deliver significant business value pose inherent risks and may not be worth pursuing.

Overall Strategy: Change management requires a thorough understanding of the organization's overall strategy. Changes must align with the broader business direction to maintain coherence and effectiveness. Change managers play a crucial role in determining whether proposed changes complement the overarching business objectives or should be delayed in favour of more strategic initiatives.

Identifying Type of Change

In software development projects, there are generally three main types of changes: standard, urgent, and normal changes.

Standard Changes : Standard changes typically involve modifications to a service or the IT infrastructure. These changes are characterized by known risks and a well-established implementation process. Due to their predictable nature, standard changes can be planned for in advance, allowing for smoother execution.

Urgent Changes : On the other hand, urgent changes represent situations that require immediate attention due to a crisis or an unexpected opportunity. Unlike standard changes, urgent changes demand rapid action with minimal risk. Before implementing an urgent change, specific approvals and authorization from stakeholders are necessary. While urgent changes follow a similar change management process as normal changes, they operate on an accelerated timescale, highlighting the importance of organizational agility in managing such situations effectively.

Normal Changes: Normal changes, while not classified as standard or urgent, are still prevalent in software development projects. These changes often require innovative and unique approaches, as they may involve addressing new challenges or opportunities. Like urgent changes, normal changes must undergo a change process for approval and implementation.

Identifying the type of change is crucial for facilitating effective communication among all project stakeholders, obtaining necessary authorizations, and accurately assessing associated risks. By ensuring that the entire team is aligned and informed about the nature of the change, proper steps can be taken to safeguard the organization's interests and promote project success.

Developing Change Strategies and Implementation Plans

After recognizing the need for change, the next step is to plan and design how to make it happen. This involves developing a detailed change management plan that outlines what needs to be achieved, who is involved, and how the change will be carried out.

During this planning phase, whether the development is carried out by an in-house team or an outsourced development partner, thorough research is essential. By examining successful implementations from similar projects, teams can develop a robust plan that addresses all critical factors for successful implementation.

Implementing Change

After finalizing the change management plan, it's time to put it into action. This means actually doing the things outlined in the plan, like carrying out tasks, working closely with the development team, providing necessary training, and making sure the change is smoothly incorporated.

During this phase, there may be some difficulties, like technical problems, resistance from people involved, or unexpected hurdles. To handle these challenges and ensure everything goes smoothly, it's important to have a clear strategy for communication and coordination in place.

Tips for Successful Software Development Projects

Change Prioritization and Discussion

When discussing and prioritizing changes in software development, it's essential to strike a balance between innovation and stability. While change is inevitable in tech, introducing too many changes at once can overwhelm both internal teams and external users.

For instance, bombarding customers with frequent updates to an application might lead to user fatigue and dissatisfaction. Users may prefer a more measured approach to change, such as periodic updates on a semi-annual or annual basis, allowing them time to adapt and fully utilize new features.

Assessing the risks and potential impact of each proposed change is crucial. This involves evaluating factors such as technical achievability, resource requirements, and potential disruptions to existing systems or workflows. Engaging stakeholders throughout this process encourages transparency and ensures that their concerns and preferences are considered.

Ultimately, decisions about which changes to prioritize should be guided by a strategic understanding of the organization's goals and the needs of its users. Some changes may offer immediate benefits or address critical issues, that warrant priority over others.

By carefully considering the implications of each change and aligning priorities with organizational objectives, software development teams can effectively manage change while maintaining user satisfaction and operational efficiency.

Involving Stakeholders and Communicating Risks

Reviewing and communicating risks to stakeholders is essential in change management.

Collaboration across the organization is key during software change implementation. It's essential to ensure stakeholders are well-informed about upcoming changes and aware of associated risks.

Failure to communicate risks can lead to incidents, disruptions, and challenges in the change management process. Therefore, open communication is vital to ensure a smooth transition and successful change implementation.

Implementing Change Testing Strategies to Prevent Incidents

Using effective testing strategies is vital to prevent problems when implementing changes in software development. Deploying changes to all areas at once is risky because if something goes wrong, it can cause major issues for all users.

A safer approach is to roll out changes gradually, testing them thoroughly at each stage to reduce risks. For example, companies often start by deploying changes to an internal environment that resembles the production setup, then move on to a specific region in the live environment. Once it's confirmed that the change works well and won't cause problems, it can be applied to all regions.

By keeping a close eye on the change as it progresses through different environments and regions, any unusual behavior can be spotted early on. Using monitoring tools with features like anomaly detection and automatic alerts adds an extra layer of protection to the change management process. If any issues arise, quick alerts can be sent out, allowing for prompt action to resolve the problem and keep the change management process running smoothly.

Using Appropriate Tools for Tracking Changes and Gathering Data.

Using the right software tools for change management can make a big difference in your team's workload. These tools help organize the change process, making it easier for teams and organizations to handle.

Instead of dealing with complicated approval processes and long discussions with compliance boards, change management software simplifies things. It ensures that changes follow the rules and stops any unauthorized changes from happening.

Evaluating and Enhancing the Change Management Process

Reviewing, analyzing, and improving the process after implementing the change is essential for ongoing enhancement. It's beneficial to convene discussions to evaluate how the software change management process unfolded, identify any bottlenecks encountered, and explore opportunities for refinement.

Key questions to consider include:

• Which changes were executed successfully, and what contributed to their success?

• What were the most frequent types of changes encountered during the process?

• How long did it typically take to implement changes from start to finish?

By addressing these inquiries, teams can gain valuable insights into their performance, identify areas for improvement, and implement actionable strategies to enhance the efficiency and effectiveness of future change management endeavors.

Final Thoughts

In software development, change management is key to ensuring projects align with organizational goals and progress smoothly. By adopting proactive strategies and fostering a culture of improvement, teams can navigate challenges and capitalize on opportunities for growth. As technology evolves and customer expectations change, effective change management becomes increasingly important. With the insights gained from this guide, software development teams can confidently adapt to change, driving sustainable progress and delivering value in today's digital landscape.

How do you implement change? Let us know in the comments below.

If you are looking for a trusted software development partner to assist your business in change management, feel free to contact us. We are a team of experts who can help you design and implement the best custom software solutions for your business. 

Written by Natalia Duran

—

ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to Fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.