Jaida  Rath

Jaida Rath

1596789120

This Week in Cloud: Next OnAir week 4

Here to bring you the latest news in the Cloud is Reto Meier.

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This Week in Cloud: Next OnAir week 4
Adaline  Kulas

Adaline Kulas

1594162500

Multi-cloud Spending: 8 Tips To Lower Cost

A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.

Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.

By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.

However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.

  • Deactivate underused or unattached resources

Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.

Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.

  • Figure out idle instances

Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.

Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.

  • Deploy monitoring mechanisms

The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.

For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.

#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market

Adaline  Kulas

Adaline Kulas

1594166040

What are the benefits of cloud migration? Reasons you should migrate

The moving of applications, databases and other business elements from the local server to the cloud server called cloud migration. This article will deal with migration techniques, requirement and the benefits of cloud migration.

In simple terms, moving from local to the public cloud server is called cloud migration. Gartner says 17.5% revenue growth as promised in cloud migration and also has a forecast for 2022 as shown in the following image.

#cloud computing services #cloud migration #all #cloud #cloud migration strategy #enterprise cloud migration strategy #business benefits of cloud migration #key benefits of cloud migration #benefits of cloud migration #types of cloud migration

Next OnAir Cloud AI Week session guide

Welcome to week 8 of Google Cloud Next ‘20: OnAir, where the focus is Cloud AI! This week our goal is to show you how to generate value with AI on our AI Platform. We’ve got a lineup of great content that covers everything from announcements and deep dives to customer stories and demos.

As a developer myself, I’m excited to hear about all the new alpha and beta programs to join and test out new products and APIs in my own projects. Here are some of the talks I’m excited to have on my session list:

  • Responsible AI: from Theory to Practice: “With great power comes great responsibility” is great advice that never fades. This session explains Google’s AI Principles, and how we work to make sure those principles are guiding us at every stage: from product development and user research to testing and documentation.
  • How AI Has Helped Enterprises Adapt Quickly to Moments of Change: 2020 has been a challenge for everyone, but seeing how our world has adapted and persisted is something that inspires me. That’s why I’m interested to hear more about how businesses have leveraged CloudAI to help them pivot, as well as how that might reshape our “new normal” moving forward.
  • Interpreting ML Models with Explainable AI: Want to know the magic behind your models? Explainable AI will shine a light on the features that contributed to your model’s predictions. This one is full of demos touching the AI Platform and AutoML Tables.

#google cloud platform #next #ai & machine learning #cloud #cloud computing

Everything you need to know about week 1 of Google Cloud Next ‘20: OnAir

Google Cloud Next ’20: OnAir kicked off this week, and we couldn’t be more excited. From inspiring words from Google and Alphabet CEO, Sundar Pichai, to a deep dive into the future of cloud with Thomas Kurian, to dozens of industry-specific breakout sessions, this week set the tone for what’s to come during our nine-week series, with plenty of resources to get started.

Spotlight on customers

We’re continually inspired by the ways Google Cloud customers are growing and transforming in the cloud. Here are just a few of the Google Cloud customer stories we’ve recently shared.

We also heard directly from our innovative customers and partners during our industry keynotes, including MLB, Lowe’s, Capital One, Activision Blizzard King, New York State Department of Labor, Mayo Clinic Platform and Groupe Renault who each shared stories about how Google Cloud is helping them adapt to the current environment.

Key announcements from the week

Thomas Kurian, CEO of Google Cloud, kicked off Next OnAir with an overview of Google Cloud’s strategy and how we’re helping businesses grow and transform digitally. Read Thomas’ blog post and watch the keynote.

Data is a critical component of decision making across organizations, but is often scattered across multiple public clouds, resulting in a fragmented user experience, multiple copies of data across different environments, siloed IT and varying levels of access and controls needed. This week we announced BigQuery Omni, a flexible, multi-cloud analytics solution that allows you to cost-effectively access and securely analyze data across Google Cloud, AWS, and Azure (coming soon), without leaving the familiar BigQuery user interface. BigQuery Omni is powered by Anthos, and is an extension of our continued innovation and commitment to multi-cloud. BigQuery Omni is currently in private alpha. Learn more in our blog post, or read our recent Forbes BrandVoice piece on the future of multi-cloud.

At Google, we believe the future of cloud computing will increasingly shift to private, encrypted services that give users confidence that they are always in control over the confidentiality of their data. To complement our encryption in-transit and at-rest, Google Cloud will now offer the ability to encrypt data in use—while it’s being processed. This is called Confidential Computing and our first product in this space, Confidential VMs is now in beta. Learn more in our blog post.

As US government agencies, and the enterprises that serve them, adopt cloud technologies, security and compliance requirements around data locality and personnel access are key considerations. Many cloud providers have built separate environments to run government workloads, requiring users to operate two distinct application and operation supply chains. To provide a better way, this week we announced Assured Workloads for Government (private beta) to help you serve government workloads without the compromises of traditional “government clouds.” Learn more in our blog post or read our recent Forbes BrandVoice article.

The need for flexible work has increased the volume of demands on everyone’s time, and many of us want the tools we already use to be even more helpful. That’s why we introduced a better home for work** in G Suite** that integrates core tools like video, chat, email, files, and tasks. This makes them better together, so you can stay on top of things from anywhere. Learn more in our blog post, or check out G Suite Vice President and General Manager Javier Soltero’s keynote, available on demand starting next Tuesday, July 21.

Thomas’s keynote also included recaps of key announcements made in the past month including Filestore High Scale (beta), Cloud VMware Engine(GA), Active Assist**, **Data QnA(alpha), and our expansion of Bare Metal Solution in five more regions.

Our partners play a critical role in supporting the needs of our customers. At our Partners Summit this week, we announced updates to our Partner Advantage program which helps partners differentiate themselves through certification, expertise, and specialization. We also announced the Google Cloud ISV/SaaS Center of Excellence (CoE), a new resource to help independent software vendor (ISVs) transform their applications with open, cloud-agnostic architectures, improve user experience through AI/ML and voice, and deliver intelligent insights from their applications by providing rich analytics to business users.

#google cloud platform #inside google cloud #customers #next #cloud

Google Cloud: Caching Cloud Storage content with Cloud CDN

In this Lab, we will configure Cloud Content Delivery Network (Cloud CDN) for a Cloud Storage bucket and verify caching of an image. Cloud CDN uses Google’s globally distributed edge points of presence to cache HTTP(S) load-balanced content close to our users. Caching content at the edges of Google’s network provides faster delivery of content to our users while reducing serving costs.

For an up-to-date list of Google’s Cloud CDN cache sites, see https://cloud.google.com/cdn/docs/locations.

Task 1. Create and populate a Cloud Storage bucket

Cloud CDN content can originate from different types of backends:

  • Compute Engine virtual machine (VM) instance groups
  • Zonal network endpoint groups (NEGs)
  • Internet network endpoint groups (NEGs), for endpoints that are outside of Google Cloud (also known as custom origins)
  • Google Cloud Storage buckets

In this lab, we will configure a Cloud Storage bucket as the backend.

#google-cloud #google-cloud-platform #cloud #cloud storage #cloud cdn