Google is always updating and creating new processes around their products! Here is a list of everything that Google recently updated as of this morning. Check it out and if you do have find that you would like to look further into these products, reach out! IGNW can help get your Google environment set up and running like a dream!
AI & MACHINE LEARNING
Cloud AutoML Vision – image classification: beta refresh
The unified infrastructure now supports both classification and object detection, and has an integrated UI. Plan ahead and prepare your classification models for the general availability of AutoML Vision scheduled to take place later this year. Use these steps to update current models. Release notes | Documentation
Cloud AutoML Vision – batch prediction: beta
Use batch prediction for lower cost per inference and higher throughput than synchronous (online) prediction. Available for both classification and object detection. Release notes
Cloud AutoML Vision – TensorFlow.js integration: beta
Export AutoML Vision Edge models as TensorFlow.js packages. The edge model can be deployed in a range of platforms with TensorFlow.js support, including all major browsers – and server-side in Node.js. Available for both classification and object detection. Release notes
COMPUTE
Compute Engine – enhanced block storage performance: GA
SSD persistent disks now offer double the write-throughput for VM instances with 16 or more cores and 100K read IOPS for VM instances with 64 or more cores. Documentation
Compute Engine – increase total capacity for persistent disks: GA
Attach up to 257 TB of persistent disk storage space to each VM instance – a considerable boost from the previous 64 TB limit. Documentation
Compute Engine – OS Login Policy and audit logging: GA
Manage access to instances with organization policies and audit logging to ensure that all new projects, and the VM instances created in them, have OS Login enabled. Track events and activities like adding, deleting, or updating an SSH key, or deleting POSIX information. Documentation
Google Kubernetes Engine – Rapid, Regular, and Stable release channels: beta
Create new clusters using a Rapid, Regular, or Stable release channel. Channels represent the level of stability and freshness of GKE versions, and you can pick the channel most aligned with your risk profile and business needs. Documentation
GKE – vertical pod autoscaling: GA
Get more stable, efficient pods automatically. When enabled, the vertical pod autoscaling feature recommends, and can automatically update, memory and CPU requests and limits for the containers in your pods based on observed usage. Documentation
GKE – node auto-provisioning: GA
Create a new node pool in GKE cluster autoscaler if none of the existing node pools can accommodate pending pods or if running the pods on a new node pool is significantly less expensive. Documentation
App Engine – Java 11 on App Engine standard environment: GA
Build and deploy an application with Java 11 that runs reliably under a heavy load and with large amounts of data. Run your application within its own secure, reliable environment, independent of the hardware, operating system, or physical location of the server. Documentation | Blog
DATA ANALYTICS
Cloud Dataflow – Python streaming mode: GA
Explore the newest Cloud Dataflow streaming option for your Python pipeline, including autoscale, drain, update, Streaming Engine, and counter updates. Documentation
Cloud Dataflow – Python 3 support: GA
Author your Apache Beam pipelines in Python 3 and launch on Cloud Dataflow. Apache Beam will discontinue Python 2 support in new releases starting January 1, 2020. We advise Cloud Dataflow users to migrate their pipelines to Python 3. Documentation
MANAGEMENT TOOLS
GKE – system-only logging and monitoring: beta
Select the system-only option to ignore workload logs and capture only logs for GKE system components. This feature is useful for capturing system logs for cluster management and support purposes when using an alternative logging backend. Documentation
NETWORKING
Google Cloud Armor – WAF capabilities: beta
Defend against DDoS attacks and filter incoming traffic based on attributes across layers 3–7. You can also create custom rules using any combination of L3–L7 parameters and geolocation data, and use predefined rules to defend against XSS and SQLi attacks. Product page | Documentation | Release notes
SECURITY
Cloud Identity and Access Management – service account descriptions: GA
Add an optional description for your service account to further organize, identify, and differentiate your accounts from one another. Documentation
SUPPORT
Group support for Enterprise Support customers: beta
Enterprise Support customers can now assign support roles to Google Groups as well as individual user accounts. This allows for more efficient bulk management of support users. Documentation