It can be tough to try to reverse engineer an existing project that has never used terraform. Terraformer can look at an existing project and generate the corresponding terraform code for you.  I tried it out on an existing legacy project which used Google Cloud Storage, BigQuery and various service accounts. The setup was a little tricky so I put together a script to simply things. The script assumes you have gcloud setup or a service account key/impersonation and you may need to adjust the –resources parameter.

Upgraded to chromedriver 99.0.4844.51 on Raspbian(bullseye) and seeing this in your chromedriver.log?

[0312/111354.689372:ERROR:egl_util.cc(74)] Failed to load GLES library: /usr/lib/chromium-browser/libGLESv2.so: /usr/lib/chromium-browser/libGLESv2.so: cannot open shared object file: No such file or directory [0312/111354.709636:ERROR:viz_main_impl.cc(188)] Exiting GPU process due to errors during initialization [0312/111354.735541:ERROR:gpu_init.cc(454)] Passthrough is not supported, GL is disabled, ANGLE is

Add “–disable-gpu” as an option when setting up the browser. e.g. for selenium/java:

ChromeOptions options = new ChromeOptions() options.addArguments("–disable-gpu")

It looks like the behaviour has changed as this “shouldn’t” be required. More about flags here

One hour ago:

bq cp mydataset.table@-3600000 mydataset.table_restored

Absolute (ms since UNIX epoch) GMT: Wednesday, 26 May 2021 13:41:53 = 1622036513000 https://www.epochconverter.com/

bq cp mydataset.table@1622036513000 mydataset.table_restored

More on Bigquery time travel

Pseudo-Random Number Generators (PRNGs) are getting a major update in Java with the release of JEP 356. New interfaces and implementations make it easier to use different algorithms interchangeably and offer better support for stream-based programming. This is a great improvement for Java developers who require randomness in their applications. 

The JDK is constantly evolving and improving, and part of that process is ensuring that internal APIs are properly encapsulated. JEP 403 represents a step in that direction, by removing the –illegal-access flag. This will prevent JDK users from accessing internal APIs, except for critical ones like sun.misc.Unsafe.  

To enable BigQuery row-level security, you can follow these steps:

1. Go to the BigQuery console and select the Datasets tab.
2. Click the name of the dataset that you want to enable row-level security for.
3. Click the Security tab.
4. Click the Row-level security tab.
5. Click the Create policy button.
6. In the Create policy dialog, enter a name for your policy.
7. In the Principals section, select the users or groups that you want to grant access to the data.
8. In the Filter section, enter a SQL filter that defines the rows that the users or groups will be able to access.
9. Click the Create button.

Once you have created a row-level security policy, users or groups that are not included in the policy will not be able to access the data in the table.

GCP Cloud IPs by region 

IP range with geolocation

More info here

Apache Beam is an open-source unified programming model and framework for defining and executing big data processing pipelines. It provides a way to write data processing code that is portable across different execution engines or runtimes, such as Apache Flink, Apache Spark, Google Cloud Dataflow, and more.

Apache Beam’s portability framework allows you to write your data processing logic once and then run it on different execution engines without modifying the code. This eliminates the need to rewrite or refactor the code for each specific execution engine, saving time and effort.

Terraform’s Cloud Development Kit (CDK) let’s you use other languages to define your cloud infra.

https://github.com/hashicorp/terraform-cdk/blob/master/examples/