Cloud Enabled Code.CRAFTED.
Cloud Native Application Development
Cloud-native applications use the full power of the cloud by using microservices architectures, containerised services and distributed management and orchestration. Cloud-native applications, underpinned by DevSecOps, deliver the required speed and agility to an organisation, in turn providing them a true competitive advantage.
At HorizonX, our talented engineers are adept in the cloud-native value chain that includes microservices, containers and automations. Our engineers have experience in developing cloud-native applications across a range of clients across many verticals, including Finance, Retail and Logistics.
Due to our Enterprise heritage, we understand your challenges, including security and compliance, which makes us unique in delivering cloud-native applications in your environment.
What is Cloud Native Application Development?
Cloud-native applications use the full power of the cloud by using microservices architectures, containerised services and distributed management and orchestration. Cloud-native applications, underpinned by DevSecOps, deliver the required speed and agility to an organisation, in turn providing them a true competitive advantage.
Why Cloud Native Application Development?
Many organisations move traditional workloads to the public cloud and realise that they are not able to reap the true benefits of public cloud. These applications continue to operate like legacy applications and continue to inhibit speed and agility, inspite of being in the “cloud” Cloud-native applications are built using cloud enabled technologies like microservices and containers, which enables you to deliver a better digital experience to your customers. Since cloud-native applications are delivered in the cloud, it makes it easier to automate the stack and deliver a commercially favourable outcome to
your business.
How to develop Cloud-Native Applications?
At HorizonX, our talented engineers are adept in the cloud-native value chain that includes microservices, containers and automations. Our engineers have experience in developing cloud-native applications across a range of clients across many verticals, including Finance, Retail and Logistics.
Due to our Enterprise heritage, we understand your challenges, including security and compliance, which makes us unique in delivering cloud-native
applications in your environment.
Microservices & API
Traditional monolithic applications are predominantly developed using a single code base and make it very hard to make focused incremental changes. Microservices solve this problem by introducing a new design paradigm that delivers three core objectives – development agility, deployment scalability and precise scalability.
First step in building a microservice architecture in any organisation is to identify whether the business case drives a microservice architecture. Microservice architecture could bring complexity if not built properly.
At HorizonX, we simplify the process by identifying requirements, pick right tools sets, decompose applications to services and build the MVP (Minimum Viable Product). Our consultants and engineers have significant experience in delivering Microservices and API initiatives in ASX listed organisations. We build, scale and secure containerised microservices with stronger resilience and higher availability.
What are Microservices?
Traditional monolithic applications are predominantly developed using a single code base and make it very hard to make focused incremental
changes. Microservices solve this problem by introducing a new design paradigm that delivers three core objectives – development agility,
deployment scalability and precise scalability.Why DataOps?
Enterprises today are increasingly injecting predictive analytics & machine learning into a vast array of products and services and DataOps is an approach geared to supporting the end-to- end needs of big data analytics & machine learning.
The DataOps approach is not limited to big data analytics & machine learning. DataOps fit well with microservices architectures and practices as well.The DataOps model is useful for any data-oriented work, making it easier to take advantage of the benefits offered by building a global data fabric.
Why use Microservices?
Legacy applications are tightly integrated and usually built on a single code base. This makes changing elements of the application difficult and costly as any change requires testing of the “entire” application. Naturally, this slows down release of any new features into production. According to Gartner, large organisations have seen development lead times cut by up to 75% when using microservices. A Microservices and API based architecture focuses on designing application components that are tightly scoped, can be deployed independently, can scale on their own and are strongly encapsulated.
Such a flexible architecture enables Enterprises to rapidly deploy and make changes without making changes to the entire platform. The end result is faster deployment of new products with a reduced risk of change.
How to use Microservices?
First step in building a microservice architecture in any organisation is to identify whether the business case drives a microservice architecture.
Microservice architecture could bring complexity if not built properly.
At HorizonX, we simplify the process by identifying requirements, pick right tools sets, decompose applications to services and build the MVP (Most Viable Product). Our consultants and engineers have significant experience in delivering Microservices and API initiatives in ASX listed organisations.We build, scale and secure containarised microservices with stronger resilience and higher availability.
Data Engineering
Data Engineering is the process of collecting, storing, transform using batch or streaming and have the data available for analysis or query using Restful APIs or micro services. Data engineering involves creating pipelines for ingestion of data, schema modelling to store data, and using data processing engines to enhance and optimise.
At HorizonX, Data engineering is enabled by identifying the business requirements around data, analysis and building the batch/streaming mode of transports to collect and store data from the siloed data sources.
The data is stored in structured or unstructured storage depending on data needs and analysis. The stored data is further enhanced or cleaned by big data processing engines, enabling analysts and data scientist to analyse and visualise the data for machine learning and reporting
What are Data Engineering?
Data Engineering is the process of collecting, storing, transform using batch or streaming and have the data available for analysis or query using Restful APIs or micro services. Data engineering involves creating pipelines for ingestion of data, schema modelling to store data, and using data processing engines to enhance and optimise.
Why use Data Engineering?
In most organisation data is siloed and data engineering help in extracting and organising the data. Without data engineering, it would be impossible
to obtain data from multiple data sources and make it optimised for further analysis by data analysts or data scientists.
How to enable Data Engineering?
Data engineering is enabled by identifying the business requirements around data, analysis and building the batch/streaming mode of transports to collect and store data from the siloed data sources. The data is stored in structured or unstructured storage depending on data needs and analysis.
The stored data is further enhanced or cleaned by big data processing engines, enabling analysts and data scientist to analyse and visualise the data for machine learning and reporting.