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OpenTeams Open Source Technology Assessment service is a comprehensive review of your existing open source infrastructure. Our team of experienced Open Source Architects will assess your systems, identify areas for improvement, and provide recommendations on how to optimize your open source technologies to better support your business goals. This service helps businesses make informed decisions about their open source investments, ensuring they are getting the most out of their technology stack.
OpenTeams’ tech assessment process begins with a consultation between the client and the team of Open Source Architects to discuss the client’s goals and challenges. The team then conducts a thorough analysis of the client’s existing open source infrastructure and identifies areas for improvement. Finally, the team creates a detailed roadmap that outlines recommended changes and improvements, with personalized support throughout the entire process to provide a customized solution that optimizes open source technology for maximum performance and efficiency.
The initial consultation of a tech assessment involves a discussion between the client and an Open Source Architect to identify the client’s goals, objectives, challenges, and issues with their existing open source infrastructure. This allows the team to comprehensively understand the client’s needs and provide personalized support and recommendations throughout the process.
The Open Source Architects will gather information about the client’s existing open source infrastructure. This typically involves reviewing existing documentation and configurations and conducting interviews with key stakeholders to understand better the client’s goals and objectives for their open source technology. The architect may also use automated tools to collect data on system performance, resource utilization, and other key metrics. All of this information will be used to inform the subsequent analysis and recommendations.
The Analysis phase of a tech assessment involves a thorough evaluation of the client’s existing open source infrastructure, including factors such as performance, scalability, security, and cost-effectiveness. Based on this analysis, the team of Open Source Architects will identify areas for improvement and make recommendations for optimizing the client’s open source systems.
In the Recommendation phase of a tech assessment, the OpenTeams’ team of Open Source Architects will identify areas for improvement based on the analysis conducted in the previous phase. They will then provide recommendations to optimize the client’s open source systems, taking into account factors such as performance, scalability, security, and cost-effectiveness. These recommendations will be customized to the client’s specific needs and goals.
During the Implementation phase of a tech assessment, OpenTeams’ team of Open Source Architects works closely with the client to implement the recommended changes and improvements outlined in the roadmap. This includes tasks such as software installation, configuration, and custom development. Throughout the implementation phase, OpenTeams provides personalized support and guidance to ensure that the client’s open source systems are optimized for maximum performance and efficiency.
A tech assessment can be a game-changer for businesses looking to optimize their open source technology infrastructure. By analyzing current systems, identifying areas for improvement, and creating a roadmap for optimization, a tech assessment can help businesses achieve their goals and stay ahead of the competition. Here are some of the results that clients can expect from a tech assessment:
One of the primary benefits of a tech assessment is improved performance. The Open Source Architects conducting the assessment will analyze the client's current infrastructure, looking for areas where performance can be improved. They will then make recommendations for optimizations, such as improving database indexing or reconfiguring servers, that can significantly boost performance.
As businesses grow, their technology needs often change. A tech assessment can help businesses anticipate and plan for future growth by identifying areas where scalability can be improved. This might involve redesigning systems to be more modular or implementing cloud-based solutions that can easily scale up or down as needed.
Open source technology is vulnerable to security threats, and businesses must take steps to protect themselves. During a tech assessment, Open Source Architects will evaluate the client's current security measures and identify areas for improvement. This might involve implementing encryption, improving access control, or upgrading to the latest software versions to patch vulnerabilities.
By optimizing systems for performance, scalability, and security, a tech assessment can help businesses save money. By identifying areas where inefficiencies exist, Open Source Architects can make recommendations for cost savings, such as switching to more cost-effective hosting solutions or using open source software that offers similar functionality to proprietary solutions.
Technology is constantly evolving, and businesses must keep up with the latest trends to remain competitive. A tech assessment can help businesses future-proof their technology infrastructure by identifying areas where new solutions or upgrades are needed. This might involve recommending the use of cutting-edge technologies, such as AI and machine learning, to give businesses a competitive edge.
A tech assessment can help businesses improve the user experience for their customers or employees. By optimizing systems for performance and usability, businesses can provide a better overall experience that increases engagement and satisfaction.
OpenTeams Enterprise Solution Architect started with a small team of one full-time engineer and two part-time engineers working one day a week. The part-time engineers both had extensive prior experience in the probabilistic programming space. Over the last year, as a result of helping Meta achieve their goals, the ESA grew the team to allow the part-time engineers to move to half-time. The scope also increased beyond writing documentation and tutorials to include adding major software features.
OpenTeams’ Enterprise Solution Architects installed a data science platform (Nebari) that provided shared, scalable compute, and storage across all teams. They created a pipelining solution to demonstrate best practices in MLOps for all of their teams to adopt, including automated data ingest and validation, model training, and dashboards to reduce errors, provide monitoring, and make model experimentation easy.
OpenTeams Enterprise Solution Architect updated their risk model to run on Python and utilize fast numerical libraries like NumPy and Numba. The ESA also moved the model to a high-performance deployment on computation clusters using PySpark.
OpenTeams’ Enterprise Solution Architects introduced machine learning capability to the simulation by building a Python API and an MLOps pipeline that built reinforcement learning models. Reinforcement learning models exhibit autonomous behavior that allow simulation entities to adapt to complex situations, even if the human operator has not anticipated the situations. These models are exploratory and often find novel strategies that the human operator did not imagine.
OpenTeams Enterprise Solution Architect built a data pipeline to connect the machines and CRMs. They centralized the data and built dashboards and tools to help the engineers monitor and control the assembly line.
OpenTeams Enterprise Solution Architect was hired by Meta to lead a small team of three part-time engineers who had experience on similar projects, such as NumPy and SciPy. Over the last three years, as a result of achieving Metas goals, the ESA grew the team to 15+ people dedicated to PyTorch development.
OpenTeams Enterprise Solution Architect built an open source, cloud-based data science platform to allow them to scale their work, including a stable, reliable, automated workflow to preprocess new data each day, algorithms to feed various data sources into a single dataset, and algorithms to analyze the data according to their customers’ needs.
OpenTeams Enterprise Solution Architect converted the model to a Python package with an automated workflow that included a test suite, data validation, and report generation. The ESA and his team built a web-based platform with authentication and data input framework. Additionally, the team built tools that allowed technicians to draw on images of the building architectural drawings as part of the data input which allowed them to easily go from room to room. These were also used for automatic report generation.
Originally a port of the R package, pyjanitor has evolved from a set of convenient data cleaning routines into an experiment with the method chaining paradigm. Data preprocessing usually consists of a series of steps that involve transforming raw data into an understandable/usable format.
Jupyter Book lets you build an online book using a collection of Jupyter Notebooks and Markdown files. Its output is similar to the excellent Bookdown tool, and adds extra functionality for people running a Jupyter stack.
Apache Arrow is a cross-language development platform for in-memory data. It supports zero-copy streaming messaging and has support for a number of
languages, including C, C++, Python, R, Rust, and many others.
OpenTeams provides businesses with access to a team of experienced open source professionals who can help them unlock the power of open source technologies, delivering customized solutions tailored to their specific needs and goals. Get in touch with us today to learn how we can help you leverage open source to achieve your business objectives.
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