The Auxcube Skillset
You have set out to solve a unique problem. Unique problems require unique skill sets. Our people are technology-agnostic problem solvers from diverse cultures, technology stacks, business domains, and academic backgrounds.
We also have access to an extensive network of great engineers and will find and engage the right people from our talent pool to assemble a team you can call your own.
Below is a small sample of technologies we regularly use from our toolbox. If your stack is not listed, or you bought into an exotic technology that has since gone extinct, do get in touch. Chances are that we know it as well.Build My Team
CFor when we really want to go low-level! C is often referred to as the interface to the kernel and whenever we need to do systems programming, we make sure to keep C handy.
C#For good reason: C# is one of the go-to tools for large enterprises.We use the reliability and ergonomics of C# and the .NET ecosystem to create large-scale applications quickly.
C++In situations where speed and efficiency are paramount we use C++ to create mission-critical systems while maintaining low memory footprints.
GoOne of the more recent additions to our toolset we love the simplicity and robustness of Go and leverage it to create efficient and sturdy microservices.
JavaThe workhorse of the software world, we use Java in various domains. From enterprise web development to desktop applications, for us, Java is ol' reliable.
KotlinKotlin is our language of choice for building Android applications, we appreciate the functional features Kotlin provides and even use it for backend development.
Objective CThough it is now being overshadowed by Swift, Objective-C is still one of the most used programming languages for building applications in the Apple ecosystem. Our engineers have significant experience with Objective-C in building applications for a variety of Apple devices.
PythonPython is our standard choice for building large-scale AI platforms or data science solutions. We recognize the prevalence of Python in modern computing and leverage its simplicity in various stacks at different levels.
RWe use R to experiment with data and gather quick insights. We also build scalable data science platforms (often by coupling with other tools) powered by R for end-users.
RustRust has consistently been ranked as the "most loved language" over the last half decade and we understand why! We use Rust to solve difficult problems by creating safe and blazingly fast services that need to operate closer to the metal.
SwiftSwift has now become the de facto language for the Apple ecosystem and our engineers have embraced the change. We use and prefer Swift when building applications for Apple devices.
Frameworks & Libraries
.NETOur engineers are experienced with using the .NET ecosystem to create large-scale enterprise systems.
AngularOur engineers are well-versed in most modern front-end development technologies - we choose Angular for its well-structured approach to enterprise application development.
DjangoWhen we need a featureful and out-of-the-box framework we choose Django to power our applications.
FlaskWhen simplicity is key we consider Flask a great tool because of its ergonomic and straightforward approach.
FlutterOur engineers are experienced in creating multi-platform natively compiled applications using Flutter.
GraphQLGraphQL is the next step in improving client-server interactions and our engineers are experienced in creating performant applications powered by GraphQL APIs.
Next.jsWe have significant experience with Next.js in creating both static websites and dynamic hybrid applications powered by SSR.
Node.jsNodejs is our framework of choice for building scalable web backends.
ReactOur engineers are well-versed in most modern front-end development technologies - we choose React to leverage its powerful ecosystem.
Spring BootIn the age of microservices we are experienced in using Spring Boot and its various components to create secure and scalable systems.
UnityOur engineers are proficient with using Unity to build applications for all of its target platforms, including Desktop, Mobile, VR, and AR.
Vue.jsOur engineers are well-versed in most modern front-end development technologies - we choose Vue.js for its simplicity.
Amazon Web ServicesWe are well-versed in all major cloud deployment platforms and recommend the ideal option based on client needs.
AndroidWe have expertise in creating mobile applications for all major platforms, including Android.
Apollo Graph PlatformOften referred to as the next "REST" GraphQL has quickly become a major component of the industry and the Apollo platform has been at the forefront. Our engineers are experienced in creating applications using the key components of the Apollo platform.
Google Cloud PlatformWe are well-versed in all major cloud deployment platforms and recommend the ideal option based on client needs.
iOSWe have expertise in creating mobile applications for all major platforms, including iOS.
KubernetesWe have experience in leveraging the power of Kubernetes for mid-high scale applications to provide robustness and high availability.
LinuxWe have expertise in creating desktop applications for all major platforms, including Linux.
MacOSWe have expertise in creating desktop applications for all major platforms, including macOS.
Microsoft AzureWe are well-versed in all major cloud deployment platforms and recommend the ideal option based on client needs.
Microsoft WindowsWe have expertise in creating desktop applications for all major platforms, including Microsoft Windows.
Elastic searchWe have expertise in creating distributed enterprise applications powered by Elasticearch's full-text search engine.
etcdWe have experience with multiple key-value stores and choose etcd when it is a good fit.
InfluxDBWe use InfluxDB to build realtime applications that need to operate on time series data.
KafkaWe use Kafka's powerful stream processing capabilities when building large-scale enterprise applications.
MariaDBWe have expertise with most database engines, and choose the right one based on client needs. MariaDB is one of our top choices for a free and open-source database.
Microsoft SQL ServerWe have expertise with most database engines, and choose the right one based on client needs. MSSQL is our top choice when paired with .NET.
MongoDBWe are able to leverage the power of MongoDB's schemaless approach to build applications where it is a good fit.
MySQLWe have expertise with most database engines, and choose the right one based on client needs. MySQL is one of our top choices for a free and open-source database.
Neo4jWe use Neo4j's powerful graph based approach to store and query complex data relationships. This is valuable for handling large datasets and performing complex query operations.
PostgreSQLWe have expertise with most database engines, and choose the right one based on client needs. Postgres's spatial search and schema-less data support make it the top choice for geo-location based data scenarios.
RedisWe have used Redis's caching system as well as its message broker to power key components in a number of applications.
DockerDocker is often a key component in our deployment pipelines.
ELKWe have experience in using the ELK toolset to build monitoring systems powered by service logs.
GrafanaWe consider Grafana a good choice for building dashboards and use it when the situation calls for it.
HelmWe always rely on Helm as a key tool when working with Kubernetes.
TelegrafWe have experience with Telegraf in building systems that rely on data collection in distributed environments.
We offer a no-obligation consultation session to understand the problem you are working on and to chart out the various ways that Auxcube can be of assistance. Please use the Contact Form or email us at email@example.com to initiate a discussion on your engineering needs.