Summary of the new features of Google Cloud in Cloud Next 2020.
Speaker: Sergio Gordillo, Cloud Architect and Business Development Manager en Keepler Data Tech.
Watch the webinar! https://www.youtube.com/watch?v=TxgLMj773E0
More info, visit www.keepler.io
2. Next 2019 Next 2020
RECAP NEXT 2019
Thomas Kurian
CEO - Google Cloud
1 Customer Ready 2 Multi Cloud 3 Open Source 4 Partners & Sales
NEW
AI Platform
Cloud Run
3. Next 2019 Next 2020
2019-2020 ANNOUNCEMENTS
● More regions
● More languages (.Net, Java,
Ruby, Go, Python , JS
● Better developer experience
NEW
● Uptime SLA 99.99%
● Column-level security
● Materialized views (precomputed
and cached query results)
NEW
Cloud
Functions
BigQuery
VMware
Engine
Recommendations
AI
AutoML
Tables
Memorystore
for
Memcached
● Windows server containers
● Batch capabilities
● Container threat detection
● Release channels
NEW
GKE
● Dataflow Runner V2
● Multi-language pipelines
● Dataflow notebooks
● ML capabilities
NEW
Dataflow
4. Next 2019 Next 2020
NEXT OnAir 2020
Thomas Kurian
CEO - Google Cloud
1 Customer Ready 2 Multi Cloud 3 Open Source 4 Partners & Sales
1 Unique cloud infrastructure (DIaaS)
2 Best digital transformation platform
3 More industry-specific solutions
NEW
AI Platform
Cloud Run
5. DISTRIBUTED INFRASTRUCTURE AS A SERVICE
Not limited to Google Cloud but be available
from these 4 different environments.
Same interface.
12. INFRASTRUCTURE
Private Service Connect
● Service-oriented
● Third-party: i.e. Cloud Storage & Snowflake
● Data Migrations: on-prem data to Storage
● Security: enforce security policies for
services
20. DATA & ANALYTICS
BigQuery Omni
● Power your business across clouds with a flexible, multi-cloud
analytics solution
● Get a consistent data experience across clouds
● There’s no need to format or transform your data—BigQuery
Omni supports Avro, CSV, JSON, ORC, and Parquet
● The query results can be returned to Google Cloud or, you can
export the results directly back to your data storage, with no
cross-cloud move of results or data.
24. CLOUD AI & ML
MLOps Experience (AI Platform Pipelines, Experiments, Evaluation)
● Managed Kubeflow
● Seamlessly integration with AI Platform and
Analytics services
● Create ML pipelines with pre-made
components
● Run experiments and executions
● It covers the entire ML lifecycle
● Managed metadata
● Improved MLOps experience
25. CLOUD AI & ML
Dialogflow CX
● Visual flow builder
● State-based data model
● Advanced analytics capabilities
● Native IVR setting
● Separate flows
26. CLOUD AI & ML
Document AI Announcements
● Fresh look of Document AI in the
console
● New types of document processors
● Human review
● Lending Document AI
● Procure-to-pay Document AI
27. CLOUD AI & ML
Media Translation API
● Real-time speech translation from
streaming audio data
● Solutions for telco (contact center) and
media
29. BUSINESS APPLICATION PLATFORM
API Gateway
● App Engine, Cloud Run,
Cloud Functions integration
● Auth features (JWT)
● Service Control API
● API requests quotas
33. SECURITY
Confidential VMs
● Encrypt data in-use
● Encrypt most sensitive data in the cloud
while it’s being processed.
● Lift and shift confidentiality
● GCE and GKE compatible
34. SECURITY
Assured Workloads (for Government)
● Simplifies the compliance
configuration process and provides
seamless platform compatibility
between government and commercial
cloud environments.
● Automatic enforcement of data
location
● Personnel access
● Built-in security controls
● Automatic enforcement of product
deployment location