Cloud View: Weekly Digest – Feb 17, 2020
Welcome to Cloud View!
This week we look at Oracle Cloud Data Science Platform, GKE support for Windows, DevSecOps and making better quality software using Jenkins CI/CD pipeline.
Industry Perspective and News
Oracle Cloud Data Science Platform
Oracle is pulling out all stops in 2020! The company is in the news once again with the launch of its data science platform – a first of its kind cloud-native platform that is completely geared towards providing a collaborative workspace for data scientists.
Windows on GKE
Google Cloud supports Windows on GKE, as a part its commitment to providing complete support to client’s Windows server-based applications.
Six I’s of Successful IT Leaders
As every company becomes a tech company, the role of the CIOs become critical for success. Naturally, this increases the pressure on the CIOs to deliver more and think strategically. Here is an article that outlines 6 key focus areas that CIOs can start with.
Technological Insights
Storage is getting a reboot!
IBM is the first one to revamp its storage lines with the launch of Storwize and Flash Systems A9000.
DevSecOps
Security as a topic is never far off in any IT discussion. A useful webinar by CEO of Cmd, Jake King, on DevOpsTV. He lays out 7 DevOps-friendly techniques that will help you incorporate security without compromising on speed or scale.
CockroachDB
A fantastic chat with Peter Mattis, the creator of the CockroachDB open-source database and co-founder and CTO of Cockroach Labs. A conversation that covers interesting bits from his career in open source and Google.
From CloudIQ
Make Better Quality Software using Jenkins for your CI/CD Pipeline
With Jenkins, organizations can accelerate the software development process through automation. Jenkins integrates development life-cycle processes of all kinds, including build, document, test, package, stage, deploy, static analysis and much more.
Blue Green Deployment on Azure, Safe Strategy with Zero Downtime
When you are deploying a new change into production, the associated deployment should be in a predictable manner. In simple terms, this means no disruption and zero downtime!
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