Awesome and powerful traits and dynamics within Google Cloud Platform



Exciting to see that, more and more developers, startups and companies large and small are discovering and enjoying in real-time and anywhere the benefits of a different kind of cloud.

 
Cloud has gone from being the untrusted option to being seen as a more secure option for many companies.

Therefore, for many among you, the cloud computing means no longer having to think about data centers, servers, storage and networking; scalability, flexibility, agility and performance.
With Google Cloud Platform you can experience, discover, enjoy, leverage and learn that:

Security and data protection are at the core of the stakes (you can see a couple of them in this 360 degree data center tour).

Google builds its own hardware and monitoring systems. Google servers don’t include unnecessary components such as video cards, chipsets or peripheral connectors, which can introduce vulnerabilities.

Google is Using machine learning to optimize data center operations; in terms of energy, the company is committed to powering its infrastructure with renewable energy.

Google employees operate its data centers, not third parties.

Google is exposing innovations like machine learning and big data analytics so that you can easily spot new trends and new markets early. Users are tapping into the power of Google BigQuery to process trillions of rows in seconds — building streaming data pipelines with Google Cloud Dataflow, we have Google Data Studio 360 for visualization and reporting.

In terms of Data center expansion, Google is adding more regions as its customer base becomes larger, more diverse and accustomed to running their workloads on cloud.

Google Cloud has rolled out a new partner program. BMC, Pivotal, Red Hat, SAP, Splunk, Tenable Network Security, Veritas and many other enterprise ISVs are working hard to integrate their software with GCP, enabling users to leverage the skills and software they're already familiar with to manage and monitor their resources on Cloud Platform. 

Audits and compliance remain big concerns for enterprise cloud buyers; therefore, Google is working to launch Audit Logging before the end of May, to enable you to answer the question of “who did what, where, and when?” along with multiple initial service integrations, including Google App Engine, BigQuery, Dataflow, IAM for Projects and Service Accounts, as well as API Credentials

Commitment to openness is clear with examples like: Hadoop MapReduce, Spanner, Software-Defined Networking, Kubernetes, Dataflow and TensorFlow for machine learning, among hundreds more. The company recently joined the Open Compute Project to drive standards in IT infrastructure.

 At the heart of their open source contributions in cloud is Kubernetes, an open source system for automating deployment, scaling and operations of containerized apps.