Google Cloud Training in Velachery

Cloud Machine Learning

• Cloud Machine Learning leverages the deep learning capabilities of TensorFlow (yes, they’re different), adding in data management integration with BigQuery, Cloud Dataflow and scalable predictions using models that customers train.
• The Cloud Machine Learning platform also has very powerful and easy-to-use fully trained ML models: Translate API, Vision API, and Speech API. Today’s developers no longer need to custom train models to build world-class prediction programs. GA is expected in May.
• Google Cloud Platform customers can now use Identity and Access Management (IAM) to assign permissions to GCP resources through IAM roles which are defined as a collection of permissions.
• These new roles allow customers to grant more granular permissions to specific types of resources in a project.
• Additionally, GCP is rolling out customer-supplied encryption keys (beta) for Google Cloud Storage (we launched encryption keys for Google Compute Engine last summer).
• For customers who don’t want the operational burden of managing their own keys, they can rest assured knowing that Google Cloud Platform encrypts all user data at rest.

Networking Updates Enabling the Flexible Cloud

• Building on the momentum we’ve seen the last few months, GCP will also be unveiling SSL/TLS termination with load balancing (alpha) on March 28 and Cloud CDN (beta) on April 6.
• We’re chalking both up to the superior Google network scale, reach, resiliency and performance across cloud workloads.
• Also, at KubeCon last week, the Google Cloud Platform team introduced Kubernetes 1.2. The open source container orchestration is now sporting significant scale improvements, a new GUI, simplified application deployment and management, automated cluster management, and built-in extensibility.
• We started the year off on a high note, adding Spotify to the customer mix. Now, we’re even more excited to build on that momentum by announcing Disney and Coca-Cola as new customers.
• Additionally, we’ve added VMware, Veritas and Accenture to our partner community and look forward to building a robust partner economy.
• Cloud Launcher Updates: Keeping Partners Close to Their Customers
• Google Cloud Launcher is a cloud marketplace that moves beyond the transaction, to help customers maintain and manage sophisticated, production-ready solutions.
• It maintains the connection between the software provider and consumer, benefiting both the partner and consumer.
• With new security update notifications, better scalability and resources via Google Cloud Deployment Manager, and more easily configured solutions, we’re putting our partners back in touch with their customers.

Google cloud Global

• Cloud Platform Region Expansion
• The team is very excited to announce two new regions for 2016: US Western (Oregon) and East Asia (Tokyo, Japan).
• We have plans to announce 10 additional regions through 2017 so stay tuned for more.

Google Stackdriver Monitoring and Logging for Google Cloud Platform

• We’re introducing Google Stackdriver, a unified monitoring, logging, and diagnostics service that makes ops easier, whether you’re running applications on GCP, AWS, or a combination of the two.
• Stackdriver is the first service to include rich dashboards, uptime monitoring, alerting, log analysis, tracing, error reporting, and production debugging in a single hosted package, reducing the time that teams spend finding and fixing issues in production.
• Made for all cloud customers, Stackdriver integrates with AWS, GCP and other operational tools such as Slack, Pagerduty, Hipchat and Campfire.