Since launching App Engine in 2008, Google Cloud has helped businesses better migrate and manage their data, and 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, which include – but are not limited to – Big Data, machine learning, artificial intelligence (AI), generative artificial intelligence (gen AI), identity and security, and networking.
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.)
Upon the launch of App Engine, Google announced, “The goal is to make it easy to get started with a new web app, and then make it easy to scale when that app reaches the point where it's receiving significant traffic and has millions of users. Google App Engine gives you access to the same building blocks that Google uses for its applications, making it easier to build an application that runs reliably, even under heavy load and with large amounts of data.”
In the 16 years since 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.
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.