Thursday, June 10, 2021

Cloud Vanity: A Weekly Carnival of AWS, Azure, GCP, and More - Edition 5

 Welcome to the next edition of weekly Cloud Vanity. As usual, this edition casts light on multiple cloud providers and what's happening in their sphere. From the mega players to the small fish on the ocean, it has covered it all. Enjoy!!!


Reducing risk is the fundamental reason organizations invest in cybersecurity. The threat landscape grows and evolves, creating the need for a proactive, continual approach to building and protecting your security posture. Even with expanding budgets, the number of organizations reporting serious cyber incidents and data breaches is rising.

Streaming data presents a unique set of design and architectural challenges for developers. By definition, streaming data is not bounded, having no clear beginning or end. It can be generated by millions of separate producers, such as Internet of Things (IoT) devices or mobile applications. Additionally, streaming data applications must frequently process and analyze this data with minimal latency.

This post presents a solution using AWS Systems Manager State Manager that automates the process of keeping RDS instances in a start or stop state.

Over the last few years, Machine Learning (ML) has proven its worth in helping organizations increase efficiency and foster innovation. 


In recent years, the grocery industry has had to shift to facilitate a wider variety of checkout journeys for customers. This has meant ensuring a richer transaction mix, including mobile shopping, online shopping, in-store checkout, cashierless checkout or any combination thereof like buy online, pickup in store (BOPIS).  

At Google I/O this year, we introduced Vertex AI to bring together all our ML offerings into a single environment that lets you build and manage the lifecycle of ML projects. 

Dataflow pipelines and Pub/Sub are the perfect services for this. All we need to do is write our components on top of the Apache Beam sdk, and they’ll have the benefit of distributed, resilient and scalable compute.

In a recent Gartner survey of public cloud users, 81% of respondents said they are working with two or more providers. And as well you should! It’s completely reasonable to use the capabilities from multiple cloud providers to achieve your desired business outcomes. 


Generators at datacenters, most often powered by petroleum-based diesel, play a key role in delivering reliable backup power. Each of these generators is used for no more than a few hours a year or less at our datacenter sites, most often for routine maintenance or for backup power during a grid outage. 

5 reasons to attend the Azure Hybrid and Multicloud Digital Event

For over three years, I have had the privilege of leading the SAP solutions on Azure business at Microsoft and of partnering with outstanding leaders at SAP and with many of our global partners to ensure that our joint customers run one of their most critical business assets safely and reliably in the cloud. 

There are many factors that can affect critical environment (CE) infrastructure availability—the reliability of the infrastructure building blocks, the controls during the datacenter construction stage, effective health monitoring and event detection schemes, a robust maintenance program, and operational excellence to ensure that every action is taken with careful consideration of related risk implications.


Anyone who has even a passing interest in cryptocurrency has probably heard the word ‘blockchain’ branded about. And no doubt many of those who know the term also know that blockchain technology is behind Bitcoin and many other cryptocurrencies.

Alibaba Cloud Log Service (SLS) cooperates with RDS to launch the RDS SQL audit function, which delivers RDS SQL audit logs to SLS in real time. SLS provides real-time query, visual analysis, alarm, and other functionalities.

How AI Automation is Making a First-of-its-Kind, Crewless Transoceanic Ship Possible

Enterprise organizations have faced a compendium of challenges, but today it seems like the focus is on three things: speed, speed, and more speed. It is all about time to value and application velocity—getting applications delivered and then staying agile to evolve the application as needs arise.

Like many DevOps principles, shift-left once had specific meaning that has become more generalized over time. Shift-left is commonly associated with application testing – automating application tests and integrating them into earlier phases of the application lifecycle where issues can be identified and remediated earlier (and often more quickly and cheaply).

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