🗞️ Quickly, easily and affordably back up your data with BigQuery table snapshots [link] #BigQuery
🗞️ Run your fault-tolerant workloads cost-effectively with Google Cloud Spot VMs [link] #Compute
🗞️ BigQuery Omni now available for AWS and Azure, for cross cloud data analytics [link] #BigQuery
🗞️ Google Cloud Next Rollup for Data Analytics [link] #BigQuery
「整理了 Next'21 的所有 BQ 更新與發佈，對於了解 Google Cloud 在 BigQuery 未來的佈局上很有幫助」#BigQuery
🗞️ Traffic Director with internet NEGs of the type INTERNET_FQDN_PORT is now in General Availability [link] #TrafficDirector
🗞️ Log Analytics [link] #Logging
Log Analytics gives you the analytical power of BigQuery directly in Cloud Logging with a new user interface that's optimized for analyzing logs data. With Log Analytics, you can use SQL to perform advanced logs analysis
🗞️ Collect logs from third-party applications [link] #Logging
How to configure the Ops Agent to collect logs from supported third-party applications: MySQL, Redis, Cassandra
🗞️ Trying out source-based deployment in Cloud Run [link] #CloudRun
Now you can finally go from source code to a running Cloud Run service with a single command and without having to worry about the complexities of creating a container image
🗞️ Spark on Google Cloud: Serverless Spark jobs made seamless for all data users [link] #Spark
With Spark on Google Cloud, we are providing a way for customers to use Spark in a cloud native manner (serverless), and seamlessly with tools used by data engineers, data analysts, and data scientists for their use cases
🗞️ Cloud Data Loss Prevention is now automatic! [link] #DLP
To help, we are happy to announce that we’re making Cloud DLP automatic: automatic discovery, automatic inspection, automatic classification, automatic data profiling. Now available in preview for BigQuery, you can enable Cloud DLP across your entire organization to gain visibility into your data risk
🗞️ New PostgreSQL Interface makes Cloud Spanner’s scalability and availability more open and accessible [link] #Spanner
🗞️ Migrating your Data Warehouse to BigQuery? Make sure to unit test your BigQuery UDFs with Dataform [link] #BigQuery
Acquired by Google Cloud in 2020, Dataform provides a useful CLI tool to orchestrate the execution of SQL queries in BigQuery. Google Cloud’s Professional Services Organization open-sourced an example of how to use the Dataform CLI together with some template code to run unit tests on BigQuery UDFs. How much will it cost to run these tests? Nothing! Running your UDF unit tests with the Dataform CLI tool and BigQuery is free thanks to the following
「Google 收購了 Dataform，是一間提供 CLI tool 編排並執行 SQL query 的公司，可以更方便針對 BigQuery 的 UDF 作 unit test」
🗞️ Find your GKE cost optimization opportunities right in the console [link] #GKE
Today, we’re introducing the preview of GKE cost optimization insights, which brings some of that wisdom directly into the GKE interface, helping you strike the right balance between cost and performance for your GKE clusters and workloads
Under the hood, GKE cost optimization insights use Cloud Monitoring system metrics. Hence, if your clusters have system metrics collection enabled, you will see results out of the box