Zelma  Gerlach

Zelma Gerlach

1623263880

Zero-footprint DR solution with Google Cloud VMware Engine & Actifio

Data is the lifeblood of the modern business and you simply cannot afford to lose it: Downtime and data loss are costly and risky, and end users expect 24x7 access to their applications and data. As such, every organization needs a comprehensive business continuity (BC) and disaster recovery (DR) strategy that ensures uptime, minimizes data loss and maintains productivity in the face of a disruption. This is especially true in today’s climate when BC & DR plans are being tested by travel restrictions and remote work.

However, traditional approaches to disaster recovery are often expensive because they require you to provision spare idle IT infrastructure at a DR site. And while using on-demand capacity in the cloud has long promised to deliver significant economic efficiencies for DR, it’s only an option if the DR environment is similar to your on-prem infrastructure. What you need is an on-demand, easy-to-stand-up solution that mimics your primary environment, and that lets you pay for capacity only during a disaster or a test.

In this post, we’ll discuss how you use Google Cloud VMware Engine, our fully managed VMware platform delivered as a service, with Actifio enterprise data management software to create a ‘Zero Footprint’ DR solution. The service delivers a fully managed VMware Cloud Foundation stack, making it easy for you to replicate your on-prem environment in Google Cloud. And because you only pay for usage during failover / test time, it lowers your total cost of ownership (TCO). Let’s take a closer look.

#cloud migration #google cloud vmware engine #actifio #cloud

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Buddha Community

Zero-footprint DR solution with Google Cloud VMware Engine & Actifio
Zelma  Gerlach

Zelma Gerlach

1623263880

Zero-footprint DR solution with Google Cloud VMware Engine & Actifio

Data is the lifeblood of the modern business and you simply cannot afford to lose it: Downtime and data loss are costly and risky, and end users expect 24x7 access to their applications and data. As such, every organization needs a comprehensive business continuity (BC) and disaster recovery (DR) strategy that ensures uptime, minimizes data loss and maintains productivity in the face of a disruption. This is especially true in today’s climate when BC & DR plans are being tested by travel restrictions and remote work.

However, traditional approaches to disaster recovery are often expensive because they require you to provision spare idle IT infrastructure at a DR site. And while using on-demand capacity in the cloud has long promised to deliver significant economic efficiencies for DR, it’s only an option if the DR environment is similar to your on-prem infrastructure. What you need is an on-demand, easy-to-stand-up solution that mimics your primary environment, and that lets you pay for capacity only during a disaster or a test.

In this post, we’ll discuss how you use Google Cloud VMware Engine, our fully managed VMware platform delivered as a service, with Actifio enterprise data management software to create a ‘Zero Footprint’ DR solution. The service delivers a fully managed VMware Cloud Foundation stack, making it easy for you to replicate your on-prem environment in Google Cloud. And because you only pay for usage during failover / test time, it lowers your total cost of ownership (TCO). Let’s take a closer look.

#cloud migration #google cloud vmware engine #actifio #cloud

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

What Are Google Compute Engine ? - Explained

What Are Google Compute Engine ? - Explained

The Google computer engine exchanges a large number of scalable virtual machines to serve as clusters used for that purpose. GCE can be managed through a RESTful API, command line interface, or web console. The computing engine is serviced for a minimum of 10-minutes per use. There is no up or front fee or time commitment. GCE competes with Amazon’s Elastic Compute Cloud (EC2) and Microsoft Azure.

https://www.mrdeluofficial.com/2020/08/what-are-google-compute-engine-explained.html

#google compute engine #google compute engine tutorial #google app engine #google cloud console #google cloud storage #google compute engine documentation

Retire your tech debt: Move vSphere 5.5+ to Google Cloud VMware Engine

It can happen so easily. You get a little behind on your payments. Then you start falling farther and farther behind until it becomes almost impossible to dig yourself out of debt. Tech debt, that is.

IT incurs a lot of tech debt when it comes to keeping up infrastructure; most IT departments are already running as lean as they possibly can. Many VMware shops are in a particularly tough spot, especially if they’re still running on vSphere 5.5. If that describes you, it’s time to ask yourself how you intend to get out of this tech debt? General support for vSphere 5.5 ended back in September 2018, and technical guidance one year later. General support for 6.0 ended in March 2020, support for 6.5 ends November 15 of this year, and even the end of general support for vSphere 6.7 is only a couple of years away (November, 2022)! If you’re still running vSphere 5.5, moving to vSphere 7.0 is the right thing to do.

#hybrid & multi-cloud #google cloud platform #cloud migration #cloud #google cloud vmware engine

Rusty  Shanahan

Rusty Shanahan

1597833840

Overview of Google Cloud Essentials Quest

If you looking to learn about Google Cloud in depth or in general with or without any prior knowledge in cloud computing, then you should definitely check this quest out, Link.

Google Could Essentials is an introductory level Quest which is useful to learn about the basic fundamentals of Google Cloud. From writing Cloud Shell commands and deploying my first virtual machine, to running applications on Kubernetes Engine or with load balancing, Google Cloud Essentials is a prime introduction to the platform’s basic features.

Let’s see what was the Quest Outline:

  1. A Tour of Qwiklabs and Google Cloud
  2. Creating a Virtual Machine
  3. Getting Started with Cloud Shell & gcloud
  4. Kubernetes Engine: Qwik Start
  5. Set Up Network and HTTP Load Balancers

A Tour of Qwiklabs and Google Cloud was the first hands-on lab which basically gives an overview about Google Cloud. There were few questions to answers that will check your understanding about the topic and the rest was about accessing Google cloud console, projects in cloud console, roles and permissions, Cloud Shell and so on.

**Creating a Virtual Machine **was the second lab to create virtual machine and also connect NGINX web server to it. Compute Engine lets one create virtual machine whose resources live in certain regions or zones. NGINX web server is used as load balancer. The job of a load balancer is to distribute workloads across multiple computing resources. Creating these two along with a question would mark the end of the second lab.

#google-cloud-essentials #google #google-cloud #google-cloud-platform #cloud-computing #cloud