Cloud Native Platform Engineering

Cloud-Native
Development

Application development at the speed your business demands

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cloud native development services
APEXON HELPS COMPANIES GET CLOUD-NATIVE DEVELOPMENT RIGHT, ENSURING IDEAS BECOME REALITY IN AN ACCELERATED TIME FRAME

cloud native application development services
the challenge

CLOUD-Native Development services & systems for Your Company

Cloud Native Development is a critical part of digital innovation. As competitive advantage becomes ever more time-sensitive, businesses must launch new products, offerings, and services to both stay relevant and compete with digital native players.

This race to meet demand is a key pillar in Cloud Native Development. Applications developed in rapid cadence by small, dedicated feature teams must be deployed to a cloud-based platform that offers easy scale-out and eliminates hardware dependencies.

The caveat is that getting this right first time can generate significant challenges. Companies need to navigate through complex business scenarios, including, but not limited to developing the business case, managing the complexities of IT environment with legacy technology and multi-platform systems, and ensuring effective change management. All these potential roadblocks can impact time to market.

Cloud Native Software Application Development Services
What we do

GAIN CLOUD CONFIDENCE WITH IMPROVED DEVELOPMENT PATHS & AGILE MINDSET

Apexon’s Cloud-Native Development teams help businesses move to microservices, serverless computing and containerized architecture through effective Engineering practices. We leverage containers to deploy modern, complex, distributed applications as these solutions not only require minimal changes to applications, but also deliver multiple benefits such as reduced complexity, scalability, increased application portability and improved developer workflows. These benefits are achieved through our home-grown cloud-native accelerators.

In addition, our expert teams can deliver an easy and accelerated pace of development by leveraging loosely coupled architecture. For example, we draw on our expertise in microservices architecture patterns, use of best suited languages and frameworks, and secure pay-per-use model for cost optimization. Our expertise in DevSecOps and GitOps processes allow our clients to unlock the true potential of serverless and container-driven computing.

Our Offerings

End-to-end Cloud-Native Development SERVICES

We support a variety of use cases:

cloud-native development strategies
Strategy
  • Decomposition Strategy
  • Data Strategy
  • Execution Model
  • Testing Strategy
  • Security

Enablement
Enablement
  • Service Discovery
  • Micro Services
  • Edge Services
  • Deployment Choices
  • DevOps

Support
Support

Plan and execute the product lifecycle through a series of iterative changes, utilizing Shift Left concepts and prioritization

THE OUTCOMES WE DELIVER

End-to-end cloud-native offerings from Ideation to Development & Beyond

Apexon Cloud-Native services deliver significant business advantages, all of which are designed to cater exactly to the customer needs:

Scalability
Scalability

The cloud’s pay-for-what-you-use model allows companies to be both scalable and flexible in their business objective, optimizing workloads and maximizing resources

Agility & Productivity
Agility & Productivity

GitOps and DevOps enables developers to use fully automated continuous integration/ continuous delivery pipelines (CI/CD) to rapidly test and push new code to production. This results in a greater rate of innovation and market-driven competitiveness

Scalability & Reliability
Scalability & Reliability

Kubernetes running on cloud platforms have built-in on-demand elastic scaling of compute, storage, and other resources. Enterprises can take advantage of built-in scalability to match any demand profile without the need for extra infrastructure planning or provisioning

Cost Optimization
Cost Optimization

Containers can significantly decrease infrastructure costs, thanks to their ability to be more lightweight than VMs and the option to share a single OS. Cloud native technology enables pay-per-use models and, with the right scaling strategies, cost can be optimized

Reduced vendor lock-in
Reduced vendor lock-in

You can use multiple providers to avoid lock-in and improve vendor leverage

Key Partnerships

AWS

Accelerate time-to-market and increase agility with Apexon’s comprehensive suite of AWS offerings. Industry-best standards and AWS-guided design patterns drive our AWS cloud solutions. In addition, we adhere to a disciplined continuous review process with experienced and talented AWS-Certified resources

Azure

Our Azure partnership helps organizations move to the cloud at speed, increasing application availability, technical flexibility, and security improvements

Snowflake

Monetize your data with the help of Apexon’s end-to-end migration and implementation services for Snowflake Data Cloud. Apexon offers end-to-end migration and implementation services for Snowflake Data Cloud, including design, data preparation, re-platforming, and performance optimization

Why Apexon

END-TO-END
ENGINEERING SERVICES

From strategy and planning, through implementation and training Services

DEEP TECHNICAL &
DOMAIN EXPERTISE

Proven track record of multiple successful Implementations

ACCESS TO
EXEMPLARY TALENT

Agile global teams with a large pool of certified engineers with defined experience in containerization technologies

CONTINUOUS INVESTMENT
AND INNOVATION

R&D investment for new/next-generation technology, dedicated labs/Centers of Excellence

FAQ’s – Cloud Native Application Development

Cloud native application development refers to the methodology of building and deploying applications that leverage the cloud computing infrastructure and adhere to the principles of scalability, resilience, and agility. Unlike traditional applications, cloud native applications are designed to be modular, micro-services-based, and containerized, allowing for rapid development, continuous integration, and deployment.

Examples of cloud native web applications include popular services like Netflix, Spotify, and Airbnb. These applications are built using cloud-native principles, utilizing technologies such as Docker containers, Kubernetes orchestration, server-less computing, and micro-services architecture to deliver scalable, resilient, and highly available services to users over the internet.

Cloud native application architecture refers to the design principles and patterns adopted to develop applications specifically for cloud environments. This architecture emphasizes the use of loosely coupled micro-services, containerization, automation, and continuous delivery pipelines. It also leverages cloud services like databases, storage, and compute resources to maximize scalability, elasticity, and efficiency while minimizing operational overhead.

Cloud native applications exhibit several key characteristics, including:

  • Micro-services architecture for modularity and scalability.
  • Containerization for easy deployment and management.
  • Dynamic orchestration for resource optimization and resilience.
  • Automation of processes for rapid development and deployment.
  • DevOps practices for seamless collaboration between development and operations teams.
  • Resilience to failures through redundancy and fault tolerance.
  • Scalability to handle varying workloads efficiently.
  • Observability for monitoring, logging, and troubleshooting.

Cloud-native technologies encompass a wide range of tools and frameworks that facilitate the development and deployment of cloud-native applications. Some popular cloud-native technologies include:

  • Containerization platforms like Docker and container orchestration systems like Kubernetes.
  • Server-less computing frameworks such as AWS Lambda, Azure Functions, and Google Cloud Functions.
  • Service mesh solutions like Istio and Linkerd for managing micro-services communication and observability.
  • Infrastructure as code tools like Terraform and AWS Cloud-Formation for automating the provisioning of cloud resources.
  • Continuous integration and continuous deployment (CI/CD) tools like Jenkins, GitLab CI/CD, and CircleCI for automating software delivery pipelines.
  • Monitoring and logging solutions such as Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana), and AWS CloudWatch for tracking application performance and troubleshooting issues.
  • API gateways like Kong and Apigee for managing and securing microservices APIs.
  • Distributed tracing systems like Jaeger and Zipkin for understanding the flow of requests through microservices architectures.