Powering past limits with financial services in the cloud

Editor’s note: We asked financial institution KeyBank to share their story of moving their data warehouse from Teradata to Google Cloud. Here are details on why they moved to cloud, how they did their research, and what benefits cloud can bring.

At KeyBank, we serve our 3.5 million customers online and in-person, and managing and analyzing data is essential to providing great service. We process more than four billion records every single day, and move that data to more than 40 downstream systems. Our teams use that data in many ways; we have about 400 SAS users and 4,000 Tableau users exploring analytics results and running reports.

We introduced Hadoop four or five years ago as our data lake architecture, using Teradata for high-performance analytics. We stored more than a petabyte of data in Hadoop on about 150 servers, and more than 30 petabytes in our Teradata environment. We decided to move operations to the cloud when we started hitting the limits of what an on-premises data warehouse could do to meet our business needs. We wanted to move to cloud quickly and open up new analytics capabilities for our teams.

Considering and testing cloud platforms

Teradata had worked well for us when we first deployed it. Back then, Teradata was a market leader in data warehousing, with many of the leading banks invested in it. We chose it for its high-performance analytics capabilities, and our marketing and risk management teams used it heavily. It also worked well with other SAS tools we were using, and SAS remains a good tool for accessing our mainframe.

Ten years into using Teradata, we had a lot of product-specific data stores. It wasn’t a fully formed data lake architecture. We also maintain more than 200 SAS models. In 2019, our Teradata appliances were nearing capacity, and we knew they would need a refresh in 2021. We wanted to avoid that refresh, and started doing proof-of-concept cloud testing with both Snowflake and Google Cloud.

When we did those trials, we ran comparative benchmarks for load time, ETL time, performance and query time. Snowflake looked just like Teradata, but in the cloud. With Google, we looked at all the surrounding technology of the platform. We couldn’t be on a single cloud platform if we chose Snowflake. We picked Google Cloud, since it would let us simplify and offer us a lot more options to grow over time.

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Powering past limits with financial services in the cloud
Adaline  Kulas

Adaline Kulas

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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.

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Adaline  Kulas

Adaline Kulas

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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.

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Best Cloud Computing (AWS) Development Company

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Cloud Computing Services | SaaS, PaaS, IaaS - WebClues Infotech

Cloud Computing Services

Data Management has taken a new turn with the introduction of Cloud Storage which has resulted in requirements for Cloud Computing. It is nothing but the data processing system that takes away a load of data management from the hands of individual devices.

Want to use cloud computing like Amazon Web Services (AWS) for your business data?

WebClues Infotech has been an expert in helping businesses with AWS cloud computing for years. We have helped the majority of our client base with AWS cloud computing to solve their data management needs.

Want to know more about our AWS cloud computing services?

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