Nuestra invitado para esta sesión es Marisabel Rodriguez Technical Account Manager y Google Cloud Professional Services.
En este taller en vivo vamos a conocer las herramientas para monitorear en forma nativa nuestra plataforma de Google Cloud, y las mejores prácticas para obtener la mejor información.
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.
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.
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.
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.
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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:
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.
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Ever since the advent of Google Cloud, there has been an increased amount of services to facilitate customers and business requirements no matter what the enterprise domain is.
Google has put its efforts in coming up with solutions and products that not only fit the current user needs but also cater for future business needs.
That’s precisely why companies opt for Google Cloud Products as their prime cloud services for their business operations.
Nevertheless, another thing that is of much interest is the amount of “Security” baked into these Google products. There are certainly some significant considerations when deploying anything in the cloud.
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PALO ALTO, Calif., October 14, 2020 – ScaleGrid, a leading Database-as-a-Service (DBaaS) provider, has just announced the launch of Google Cloud Platform (GCP) hosting through their fully managed DBaaS plans. In addition to their AWS, Azure and DigitalOcean hosting solutions, ScaleGrid will now offer GCP hosting for MySQL, PostgreSQL and Redis™.
Google Cloud Platform is the second most popular cloud provider for open source database hosting according to the 2019 Open Source Database Report. While GCP offers their own database products, such as Cloud SQL which can be used for MySQL or PostgreSQL, many users prefer to leverage the open source databases to avoid cloud vendor lock-in with a single provider.
ScaleGrid GCP plans are fully managed and hosted through the DBaaS provider through their standard Dedicated Hosting plans, but they also offer a unique Bring Your Own Cloud (BYOC) model that allows you to host your databases through your own cloud account. All of ScaleGrid’s cloud solutions include advanced configuration and control options, including full superuser access, custom replica setups, and the ability to leverage any instance type. These are in addition to their automation tools that allow you to deploy, monitor, backup and scale your deployments through a few simple clicks.
“We are seeing increasing demand from our customer base for managed Postgresql, MySQL & Redis solutions on Google Cloud” says Dharshan Rangegowda, CEO and Founder of ScaleGrid. “ScaleGrid DBaaS platform provides customers several unique advantages and we are delighted to bring these options to the GCP platform.”.
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