1. Site Reliability Engineering: Creating reliable services is something Google strives for not only internally. The company also
lets customers benefit from its very own approach called Site Reliability Engineering (SRE). One key topic in SRE is
Observability, which may be hard to achieve, in particular for complex, distributed applications.
Cloud Operations Sandbox,
“an open-source tool that helps you learn SRE practices from Google and apply them on cloud services using Google Cloud’s operations suite (formerly Stackdriver)”, gets you started.
2. GKE Autopilot: This new mode of operation for GKE
simplifies the operation of your K8s-Clusters even further.
Read how GKE Autopilot “automatically applies industry best practices and can eliminate all node management operations, maximizing your cluster efficiency and helping to provide a stronger security posture.”
3. Security: Google is very serious about security. That’s why the article series called
“CISO Insights” provides great information on security in general.
Here’s the first post. I have been sharing this every month, as it’s one of the best information sources on security topics I know.
4. Machine Learning / AI: Aiming to
streamline ML operations, Google announced a new, fully managed Machine Learning Platform called
VertexAI at Google I/O. Check out
this article and highlighted links for details.
6. DR with Actifio GO: After acquiring Actifio in December 2020, the solution is now
finally available via Google Cloud Marketplace for an easy deployment and with a consumption-based pricing model. Find out more
here.
7. Automatic Data Loss Prevention: In case you use BigQuery and host personally identifiable information (PII) or other sensitive data, this one’s for you:
Automatic Data Loss Prevention in BiqQuery, now available in Preview.
8. CloudRun: The fully managed serverless platform for containerized applications now
supports traditional workloads such as applications written in Java Spring Boot, ASP.NET, and Django
without building a container first. A new second-generation execution environment provides
enhanced network and CPU performance, while
discounts and
CPU allocation controls enable you to
save up to 25% on your compute bill. The
Cloud Run/Binary Authorization integration, now GA, helps
enforce policy-based deployment of CloudRun services. Knative, the open source project behind CloudRun
hits the 1.0 release. That’s an important milestone for the project that can count on the support from more than 600 active developers.
9. Predictive Analytics: Are you interested in
building a prediction market like an innovation champion?
In this article you will learn how to leverage Google Cloud solutions to
predict future outcomes more accurately, plan for unknown events, and
discover product and customer opportunities.
1. BigQuery: Google Cloud just
recently announced “a public preview for the BigQuery native JSON data type, a capability which brings support for storing and analyzing semi-structured data in BigQuery. “
2. Cloud Security 1: Here is
another proof that Google Cloud is very serious about security:
“Google Acquires Siemplify, a leading security orchestration, automation and response (SOAR) provider.”
5. Graph-based ML: “Many critical business problems use data that can be expressed as graphs. Graphs are data structures that describe the relationships between data points as much as the data themselves.” Read
this article to learn more about how to use the popular
GraphDB Neo4j with Google Cloud’s AI / ML platform Vertex AI including example code.
That’s it for this time. I hope you had a great start into the new year. Stay happy and healthy!
All the best,
Jörn