GOOGLE CLOUD PLATAFORM DEVELOPMENT COMPANY

Expand your cloud capabilities with GCP and nearshore talent.

We quickly assemble skilled teams, allowing you to deliver cloud-native applications, optimize infrastructure, and harness the power of GCP’s vast ecosystem with speed and efficiency.

+200 companies rely on

our 1% Top Talent

Google Cloud Platform Services We Provide

We offer comprehensive Google Cloud Platform (GCP) development services, from cloud migration to DevOps, machine learning, and data analytics. Explore our key offerings below:

GCP Cloud Migration

We manage seamless migrations from on-premise systems or other cloud platforms to GCP. Our cloud architects design migration strategies to ensure minimal downtime, data integrity, and performance optimization as you transition to GCP’s scalable infrastructure.

GCP Infrastructure Design and Management

We design and manage resilient, cost-efficient GCP infrastructures using services like Google Compute Engine, Google Kubernetes Engine (GKE), and Cloud Functions. Our team ensures your infrastructure is secure, scalable, and optimized for high availability.

Serverless Application Development

Our developers build serverless applications on GCP using Cloud Functions and Cloud Run, enabling you to run scalable, event-driven applications without managing servers. This serverless architecture reduces operational overhead while delivering maximum performance.

GCP DevOps and Automation

We implement DevOps best practices using Google Cloud tools like Cloud Build, Cloud Deployment Manager, and Cloud Operations. By automating your infrastructure, CI/CD pipelines, and monitoring, we streamline your development cycles and improve efficiency.

Data Analytics and Big Data Solutions

We leverage GCP’s powerful data analytics tools like BigQuery, Dataflow, and Dataproc to build advanced data processing pipelines and analytics platforms. Our solutions enable you to process large datasets and gain valuable insights in real time.

Machine Learning and AI Solutions

We develop machine learning models and AI-driven applications using Google Cloud AI, AutoML, and TensorFlow. Our solutions empower your business with intelligent systems for automation, prediction, and enhanced customer experiences.

Why Choose Xpertsoft for Google Cloud Platform Development

Nearshore Expertise

Our software developers are primarily based in Portugal, ensuring seamless collaboration with EU-based clients. With real-time communication and bilingual professionals, we offer efficient cloud development and support on Google Cloud Platform.

Broad Technical Expertise

Beyond GCP, our team brings expertise in cloud architecture, data engineering, machine learning, and DevOps. We provide end-to-end solutions that ensure scalability, performance, and security across your GCP infrastructure.

Tailored Cloud Solutions

We deliver flexible GCP development services that align with your business goals. Whether you need cloud architects, data scientists, or DevOps engineers, we scale our involvement to fit your specific project requirements.

The Google Cloud Platform Ecosystem We Used in Previous Work

Compute and Networking Services

Leverage GCP’s compute and networking tools to build and manage scalable cloud infrastructures:

  • Google Compute Engine (for virtual machines)
  • Google Kubernetes Engine (GKE) (for containerized applications)
  • Cloud Functions (for serverless compute)
  • Cloud Load Balancing (for traffic management)
  • Google Cloud VPC (for networking)

Data Storage and Management

Secure and scalable data storage solutions with GCP services:

  • Google Cloud Storage (for object storage)
  • Google BigQuery (for data warehousing and analytics)
  • Cloud Spanner (for globally distributed databases)
  • Cloud SQL (for relational databases)
  • Firebase (for mobile and web app development)

DevOps and Automation

Automate infrastructure and application delivery with these GCP tools:

  • Google Cloud Build (for CI/CD automation)
  •  Google Cloud Deployment Manager (for Infrastructure as Code)
  •  Cloud Operations (for monitoring and logging)
  •  Terraform (for multi-cloud infrastructure management)

Security and Compliance

Ensure robust security and compliance with GCP’s built-in tools:

  • Google Cloud IAM (for identity and access management)
  •  Google Cloud Armor (for DDoS protection)
  • Cloud Key Management Service (for encryption)
  •  Google Cloud Security Command Center (for threat detection)

Analytics and Machine Learning

Leverage GCP’s powerful data analytics and AI services:

  • BigQuery (for serverless data analytics)
  • Google Cloud AI (for machine learning and AI applications)
  •  Google AutoML (for automated ML model training)
  •  Google Cloud Dataproc (for big data processing)
  •  TensorFlow (for AI/ML model development)

Accelerate your roadmap with an experienced Google Cloud Platform development company

Key Facts about Google Cloud Platform Development

  • Benefits of using Google Cloud Platform
  • 1. Scalable and Flexible Cloud Infrastructure

    GCP offers flexible compute, storage, and networking services that scale automatically based on demand. This makes it ideal for businesses of all sizes, enabling dynamic applications and cost-effective infrastructure management.

    2. Advanced Data Analytics and Machine Learning

    With Google Cloud’s robust tools like BigQuery, Dataflow, and TensorFlow, businesses can build advanced data pipelines, run machine learning models, and gain actionable insights from big data, driving better decision-making and innovation.

    3. Global Reach and Reliability

    Google Cloud’s global infrastructure ensures low-latency, highly available services for applications worldwide. With data centers across multiple regions, GCP provides geographic redundancy and fault tolerance for critical workloads.

  • What GCP is primarily used for
  • Google Cloud Platform is primarily used for building, deploying, and managing cloud-native applications, big data analytics, and machine learning models. It’s widely adopted for enterprise cloud infrastructures, real-time data processing, and scalable web and mobile applications.

  • Other reasons for GCP’s popularity
  • Cost Efficiency and Predictive Pricing: GCP offers innovative pricing models, including sustained use discounts and per-second billing, making it a cost-effective cloud solution for businesses with fluctuating workloads.

    Seamless Multi-Cloud and Hybrid Solutions: GCP integrates with multi-cloud and hybrid environments, allowing businesses to deploy workloads across multiple cloud providers or connect on-premise systems with cloud infrastructure.

    Serverless Computing and Microservices: With tools like Cloud Functions and Cloud Run, GCP enables businesses to build scalable serverless applications and microservices architectures without managing infrastructure, leading to faster time-to-market.

    Secure by Design: GCP provides enterprise-grade security features, including encryption at rest and in transit, built-in DDoS protection, and comprehensive identity and access management (IAM), ensuring compliance with global standards like GDPR and HIPAA.

    Support for Open-Source and Kubernetes: GCP is a leader in Kubernetes development and supports open-source technologies, making it highly flexible for containerized applications and developers who prefer working with open-source stacks.

    Powerful AI and ML Capabilities: With TensorFlow, Google Cloud AI, and AutoML, GCP offers powerful tools for developing and deploying artificial intelligence and machine learning applications, making it a preferred choice for AI-driven businesses.

1. Scalable and Flexible Cloud Infrastructure

GCP offers flexible compute, storage, and networking services that scale automatically based on demand. This makes it ideal for businesses of all sizes, enabling dynamic applications and cost-effective infrastructure management.

2. Advanced Data Analytics and Machine Learning

With Google Cloud’s robust tools like BigQuery, Dataflow, and TensorFlow, businesses can build advanced data pipelines, run machine learning models, and gain actionable insights from big data, driving better decision-making and innovation.

3. Global Reach and Reliability

Google Cloud’s global infrastructure ensures low-latency, highly available services for applications worldwide. With data centers across multiple regions, GCP provides geographic redundancy and fault tolerance for critical workloads.

Google Cloud Platform is primarily used for building, deploying, and managing cloud-native applications, big data analytics, and machine learning models. It’s widely adopted for enterprise cloud infrastructures, real-time data processing, and scalable web and mobile applications.

Cost Efficiency and Predictive Pricing: GCP offers innovative pricing models, including sustained use discounts and per-second billing, making it a cost-effective cloud solution for businesses with fluctuating workloads.

Seamless Multi-Cloud and Hybrid Solutions: GCP integrates with multi-cloud and hybrid environments, allowing businesses to deploy workloads across multiple cloud providers or connect on-premise systems with cloud infrastructure.

Serverless Computing and Microservices: With tools like Cloud Functions and Cloud Run, GCP enables businesses to build scalable serverless applications and microservices architectures without managing infrastructure, leading to faster time-to-market.

Secure by Design: GCP provides enterprise-grade security features, including encryption at rest and in transit, built-in DDoS protection, and comprehensive identity and access management (IAM), ensuring compliance with global standards like GDPR and HIPAA.

Support for Open-Source and Kubernetes: GCP is a leader in Kubernetes development and supports open-source technologies, making it highly flexible for containerized applications and developers who prefer working with open-source stacks.

Powerful AI and ML Capabilities: With TensorFlow, Google Cloud AI, and AutoML, GCP offers powerful tools for developing and deploying artificial intelligence and machine learning applications, making it a preferred choice for AI-driven businesses.

Add top 1% devs to
your in-house teams

Tap into the expertise of our top 1%  developers. Staff augmentation lets you boost your in-house teams with specialized experts. Expedite timelines without sacrificing output quality.

Here’s how we augment your team

STEP 1

Discovery Call

Share your requirements, budget, and necessary skill sets. We will draft a working timeline and select top developers for your team.

STEP 2

Assembling Your Team

Withindays, we’ll find suitable developers that fit your requirements. We ensure they have the right technical expertise and would be a great cultural fit for your team.

STEP 3

Onboarding and Scaling

After onboarding them, our developers will integrate with your team. Scale your engagement as needed – we’re happy to accommodate your demands.

Get an
entire Team

Looking to bring on more than just a few .NET developers? We’ll assemble a complete crew to support you. Whether it’s full-cycle front and back-end web development, QA, DevOps, UX/UI, or something else. Monitor the team’s performance and manage them as you see fit.

Here’s how you can get a dedicated team

nearshoring a development team

STEP 1

Discovery Call

We’ll learn about your business, organization structure, objectives, budget, timelines, and resource requirements. Then, we can start identifying the ideal talent for you.

STEP 2

Team Assembly and Integration

Once we assemble your dedicated team, we’ll ensure a smooth transition as they integrate with your organization.

STEP 3

Project Kickoff

After onboarding, your team is at your disposal. You’ve now acquired the resources you need without the hassle and high cost that usually comes with recruitment

Looking for Google Cloud Platform development at your organization?

See how we can help.