We're intimately familiar with a variety of programming languages, frameworks, and modern software development best-practices, having put them to use building Web and mobile applications, and the server systems that power them.
We've worked with a variety of datasets — from small computationally expensive ones to Big Data — deriving useful patterns and insights from them by enlisting machine learning, relational databases, and NoSQL data storage tools best suited for the tasks at hand.
Our hands-on experience building scalable, highly-available, automated infrastructures across public and private Cloud environments means we're well positioned to assist with both ground-up and level-up DevOps initiatives.
Whether you're looking to maintain, refactor, or rewrite your large application, we're here to help. We'll objectively assess and collaboratively plan, develop, and deploy your application using modern know-how. From front-end to back-end, we provide assistance choosing technologies, creating and applying development standards and styling guides, training on proper best-practices, and coding scalably right there with you.
Developing distributed systems that behave correctly is a difficult task, frought with peril and unexpected consequences often encountered only after release. We'll help you confront these challenges, correctly applying the likes of the CAP Theorem and The Fallacies of Distributed Computing, all while helping you to understand the trade-off's inherent in characteristically difficult systems such as these.
Constructing software that performs at the extremes of what's possible requies a highly specialized skill-set and an experienced eye for taking advantage of optimizations available on modern hardware. With our practiced expertise, we can help design and code (or refactor) high throughput and low latency software, enabling drastically more efficient usage of your compute resources.
Is there speculation that your data contains hidden insights but lack the tools or in-house expertise to extract them? By using data-friendly ecosystems like R, Python, and others, we'll help you identify emergent patterns and latent information that you can act upon. We'll then further assist in the automation of these data mining processes for reuse in the future so you can continue to reap the benefits of your data's value again and again.
Need help processing Social Relationships, Physical Networks, Knowledge Representation or other natural graph data? We specialize in applying graph theory in both novel and tried-and-true ways through the design and implementation of custom solutions and well-known Open Source software.
Stuck on how best to apply Machine Learning techniques to your problem set? The key to unlocking the utility of Machine Learning algorithms is often found through the combined application of the algorithms themselves. We're here to assist in the preparation of training data, the choosing of specific algorithms and their arrangement, and the tuning and optimization of the entire system.
Outgrowing your current database solution or starting a greenfield project with strict availability requirements and the need for more predictable scalability? We're here to help you choose the right tool for the job. We've configured, deployed, and managed many of the most capable distributed databases available today — we know their pros and cons, where on the spectrum of the CAP Theorem triangle they're positioned, and the trade-off's inherent in each tool's intended usage.
Building your own Private Cloud on OpenStack provides a cost-effective, innovative, and zero lock-in Cloud solution that's ready for tomorrow's most demanding applications. We've designed, built, and deployed large OpenStack environments to the advantage of our clients time and again with a focus on high-availability and linear scalability over the long-term. Our approach centers around our preferred architecture — a peer-to-peer, distributed block storage based configuration built on commodity Open Compute Project servers and Linux-based networking equipment.
A completely automated infrastructure is the common goal pursued by DevOps and TechOps teams the world over. We'll help you close the gap through the implementation of Automated Configuration tools like Ansible, Chef, Puppet, SaltStack, CFEngine, and even custom-coded modules. If you've already started down this path, we'll help accelerate your efforts, adding our considerable expertise to the mix.