Digital Themes

Google Cloud consulting services

Since the launch of App Engine in 2008, Google Cloud has helped businesses better migrate and manage their data. To do so, they employ the help of authorized Google partners to sell, service, and build Google Cloud products. In general, Google Cloud consulting services help users comprehend and utilize the wide landscape of Google Cloud services. These services enhance companies’ use of big data, machine learning, artificial intelligence (AI), generative artificial intelligence (genAI), identity and security tools, and networking products.

Like other major cloud providers, Google Cloud Platform (GCP) entered the cloud computing scene in the 2000s. (App Engine closely followed the debut of Amazon’s EC2, but it preceded the October 2008 announcement of Microsoft Azure.)

In the 16 years since the App Engine launch, Google Cloud has expanded to become one of the most reliable vendors of cloud products and services. Google operates 35 data centers, thus avoiding the creation of single points of failure. GCP users select a default region that offers the best performance, scalability, and security for their business. Popular services include Google Compute Engine (an Infrastructure as-a Service [IaaS] offering), Google App Engine (a Platform-as-a-Service [PaaS] offering), Google Cloud Storage, and Google Kubernetes Engine (GKE), a management and orchestration system.

Strategic consulting for GCP success typically elevates and leverages a company’s offerings, products, and services. Google Cloud consulting services, which can include both Google employees and third-party service providers, can employ data analytics and unique expertise in helping business leaders use their Google products wisely. Experienced consultants are well-versed in cloud migration, and they’ve helped other businesses develop a cloud computing roadmap that leads directly to cost optimization, improved reliability, and scalability.

While companies can benefit greatly from insights gleaned by consulting partners, business leaders should practice due diligence when vetting and selecting their consulting services provider. Cloud migration, after all, is not without complexities. The consequences of a mismanaged cloud migration and digital transformation can include siloed teams, security and compliance risks, persisting legacy infrastructure, and misalignment between business operations and the company’s information technology (IT) infrastructure. 

When deciding how to choose a Google Cloud partner, businesses can consult the Google Cloud directory designed for this purpose. The directory is both comprehensive and detailed; sidebar filters include regions, specializations, products, initiatives, and solution designations. Virtusa, for example, appears as a Google Cloud Partner, Premier Partner, and 2020 Google Cloud Specialization Partner of the Year in Cloud Migration, and Virtusa’s named specializations include Amazon AWS, Google Cloud Identity and Security, VM migration, and more. Online reviews of Google Cloud and Google Cloud consulting services can also aid business leaders in their decision-making process. Businesses can use these reviews to reach out to other clients and inquire about their experience with a specific Google Cloud Platform consulting services provider.  

Virtusa’s proven track record as a Google Cloud partner includes a 10-years-and-counting partnership, over 11,000 domain experts, and over 13 solutions and accelerators. As a Google Cloud consulting services provider, Virtusa simplifies operations, improves efficiency, fluidly integrates AI and ML tools, improves security and reliability, sets companies on a path to revenue growth, and improves return on investment (ROI) for our clients.

In broader terms, Virtusa’s goal is to modernize, migrate, and optimize our clients’ applications. We practice due diligence ourselves: Well before a cloud migration, our engineers evaluate apps for business value, IT efficiency, and cloud stability. This research enables our engineers to accelerate app modernization by 60%, improve productivity by 30%, and enhance efficiency by 40%.

Once our team members complete this initial review, they begin migrating apps, data, and infrastructure. They perform this next step both delicately and securely, with minimal disruption to business, resulting in 40% faster migration, 30% increased productivity, and 50% faster application delivery.

Following the migration of apps, it’s time to optimize for growth. Our clients want to increase profitability, productivity, and innovation, but they don’t want to sacrifice the customer experience (CX). Virtusa’s approach keeps all of this in mind, and our methodology results in reduced costs, greater integration and visibility, faster time to market, and immediate AI/ML integration. Relying on industry best practices and our deep digital engineering heritage, Virtusa builds cloud-native, microservices-based, pre-built solutions and application programming interfaces (KPIs) on Kubernetes. Our Google Cloud consulting services include end-to-end managed cloud services and cloud operations design. All of our offerings become elevated by best-of-breed tools for cost optimization, security and compliance, reliability, and more. Our engineers are not only accelerating your cloud adoption journey; they’re also augmenting your digital enablement. 

Google Cloud maintains a high degree of transparency about its products, services, and the overall Google Cloud platform methodology. Per Google, the Google Cloud Architecture Framework includes six categories, which Google terms “pillars.” These are: operational excellence; security, privacy, and compliance; reliability; cost optimization; performance optimization, and system design. This last category, system design, is the foundational component of the framework. System design provides definitive answers for the architecture, components, and data components that will ensure cloud computing success. Other components of the framework, including cost optimization and performance optimization, focus on maximizing value, improving scalability, and responding to an enterprise’s unique needs and strengths.

Google Cloud’s high premium on transparency extends to the security of enterprises’ data. Per Google Cloud policy, businesses maintain control and ownership over their data. Google encrypts companies’ data and does not release it to other parties, including government entities. International standards determine Google’s privacy practices. More information is available on the Google Cloud transparency page and in the Cloud Data Processing Addendum (CDPR). To earn and maintain consumer trust in its offerings, Google maintains a secure platform that ensures client sovereignty; the safekeeping of data and protection against fraud; and external, independent verification of security and privacy controls.

In recent years, global AI developments have brought focus to Google’s AI offerings, including the Cloud Machine Learning Engine and services related to the Internet of Things (IoT), including Google Cloud IoT Core. Google’s AI tools are particularly useful for training machine learning models; translating and analyzing speech, text, and videos; and natural language processing (NLP).  

Google Cloud consulting services can help businesses both build a flexible modern data architecture and evaluate the health of an existing GCP environment to attain better scalability and performance. In sum, Google Cloud consulting services help businesses optimize their unique cloud infrastructure to solve business objectives and deliver the best outcomes.

Google Cloud consulting services can offer the following business benefits:

  • A cloud readiness assessment
  • A path to accelerated digital transformation
  • Improved productivity through the use of AI-generated images and writing
  • Risk management
  • Greater self-sufficiency
  • Accelerated time to market
  • Effectively employed data analytics
  • Ensured scalability
  • Continuous, ongoing support from Google Cloud and from Google Cloud consulting services
  • An increased ability to handle increasing or expanding work
  • Optimized performance and task automation
  • Robust security and privacy tools
  • Improved visibility in the market
  • Greater transparency and improved audit controls
  • Data control and security, achieved through Google Cloud’s deletion commitments and transparency surrounding vendor subprocessing
  • Improved DevOps efforts and workflow
  • Improved employee utilization of company tools
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