We Provide Google Cloud Platform DevOps and DevOps Engineers and Consultants for you

Our Cloud DevOps Team excels at using the Google Cloud Platform to construct and deploy software delivery pipelines for data inquest to Big Query – think ‘Big Data’ analytics platform in the Cloud.

Google Cloud Platform Provides various environments such as IaaS, PaaS, and Serverless computing. Google GCP supports multiple tools that make the implementation of DevOps processes more efficient. 

Google Cloud Platform capabilities for our Google DevOps engineers enable them to make data applications faster and more reliable – particularly applicable for Open-Source employment.  

Jason Martin, VP, Professional Services at Google Cloud, outlined:

We believe it is nominally prudent to stay within the Google ecosystem and have everything in one account. However, with the rise of enterprise multi-cloud approach, our engineers are readily available to support and advance this open architecture. Using a multi-cloud architecture, we can engineer numerous cloud services while maintaining high-security levels within an established high-quality Cloud DevOps environment.

It is our professional experience that GCP pulls ahead in analytics and machine learning. We use Google's BigQuery and Dataflow’s powerful analytics and processing capabilities for our clients who operate vast amounts of data. In addition, we use Google's Kubernetes container technology to ensure effective container cluster management and simplify container deployment.

BigQuery

It is a cloud-based big data analytics web service, a scalable data warehouse for analytics. BigQuery is used for processing extensive read-only data sets.

It can easily predict business outcomes with built-in machine learning, without the necessity to move data. BigQuery can also generate reports, securely and in just a couple of mouse clicks, right out of the box.

BigTable

BigTable is a scalable NoSQL database. Its key features include high throughput with low latency, no-downtime cluster resizing, and flexible automatic replication to optimize the workload.

Google Cloud Datastore

It is a document-oriented cloud database. Datastore handles sharding and replication automatically, giving you a highly available and reliable database that scales automatically to manage your application load. Datastore provides such capabilities as ACID transactions, queries like SQL, indexes, and more.