Cost Reduction Plan

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Client Use-Case for the Cost Reduction Plan

Our client deployed their data solution on Microsoft Azure cloud using Databricks, following the best recommendations available. After a few months, monthly bills reaching around ten thousand pounds started to arrive. The initial savings from switching off on-premises infrastructure were completely gone, and the amount began to cause troubles for the company's cash flow.

Cost Reduction Clipart

How can we help you?

We provide various services that can help you reduce your costs. The most important are:

1. Technological Optimizations

We offer a range of technological optimization services aimed at reducing your costs and enhancing efficiency. Our expertise includes providing performance-optimized tools for fast data processing, designing cost-effective data pipelines, optimizing existing pipelines with open-source technologies like Spark, and analyzing infrastructure to minimize storage costs. These services ensure your operations are faster, more efficient, and more economical.

  • Fast data processing tools

    We can provide performance-optimized tools for fast data processing (written in Go, C/C++, and CUDA) to save your computational time.

  • Designing new pipelines

    We assist in designing new pipelines in a cost-effective way, starting with data sources, through the entire wrangling process, and into storage.

  • Optimizing existing pipelines

    We optimize existing pipelines using open-source technologies (such as Spark), making your current pipelines run faster and more cost-effectively.

  • Storage costs optimization

    We help optimize your storage costs by analyzing your infrastructure and assisting in storing results in a cost-effective manner.

2. Moving to Local (On-Prem) Solutions

We offer comprehensive support in migrating and optimizing on-prem solutions, analyzing the cost-effectiveness of cloud versus on-prem environments, and enhancing local infrastructure security. Our services include optimizing data pipelines, automating auditing and monitoring processes, and implementing virtualization and containerization to help you manage resources efficiently and save money.

  • Migrating to and Designing on-prem solutions

    Helping with migrating to and designing on-prem solutions. We can assist you in technically migrating data solutions to on-prem environments and optimizing them.

  • Analyzing the cost-effectiveness

    Analyzing the cost-effectiveness of migrating to the cloud or staying on-prem. It may be more economical to run certain parts of your architecture on an on-prem solution.

  • Own your infrastructure

    Owning your infrastructure can be beneficial. Not only is it often more cost-effective to use an on-prem solution, but it can also be more secure.

  • Optimization of on-prem solutions

    Helping optimize existing data solutions running locally. We can make your local data pipelines faster, automated, and more cost-effective.

  • Automation of on-prem infrastructure

    We can help you automate auditing and monitoring processes for your local (on-prem) infrastructure, which can yield significant cost savings.

  • Virtualization and containerization

    Designing and implementing virtualization and containerization can help you better manage your resources and save money.

3. Cloud Spending Optimization

We specialize in cloud spending optimization by offering cloud-agnostic expertise across AWS, Azure, and Google Cloud. Our services include analyzing and right-sizing resources to ensure cost-effectiveness, implementing autoscaling to adjust resources based on workload, migrating suitable workloads to serverless solutions, and scheduling tasks to run only when necessary, all aimed at reducing unnecessary costs and maximizing efficiency.

  • Analyze Which Resources Are Needed

    We can help you analyze which resources are truly necessary so you can save money by removing unused resources and using only those best suited for your needs.

  • Right Sizing and Autoscaling

    We can help you size existing resources in the most cost-effective way. We also design and implement autoscaling, which adjusts resource size based on workload over time.

  • Serverless Solutions

    We analyze which resources can be moved to cost-optimized serverless solutions (like Lambda or Functions) and design and implement the migration of these resources.

  • Workload Scheduling

    We can help you optimize your solutions (typically batch-processing pipelines) to run only at specific times, avoiding unnecessary costs.

4. Data Inputs, Licenses, Cost Plan Optimization

We offer comprehensive solutions for data inputs and licenses, focusing on optimizing data transfer costs, researching and negotiating with cost-effective data providers, and reimplementing data solutions using open-source or more affordable options. Additionally, we help optimize your spending plan by analyzing and planning for cloud costs, infrastructure, data inputs, and personnel time, ensuring you only pay for what's truly necessary.

  • Data Transfer Optimization

    We can design and implement strategies to reduce the amount of transferred data or the frequency of transfers, as well as optimize costs for the methods used for transfers.

  • Research of Data Inputs

    We can analyze options for your data inputs, find cost-effective data providers, and negotiate the best prices. Additionally, we can leverage our client base for these negotiations.

  • Licenses and Open-Source

    We can reimplement your data solution using open-source alternatives or more affordable options. This includes optimizing existing licenses so you only pay for what is necessary.

  • Optimization of Your Spending Plan

    We can analyze and develop the optimal spending plan for you, covering cloud spending, local infrastructure, data input costs, personnel time, and various other factors.

How did we reduce costs for our customer?

Our data processing tools enabled a customer to achieve significant cost savings by transitioning their data modelling processes to a local environment. Prior to this shift, the customer relied heavily on expensive cloud services, which included not only the cost of data storage but also the ongoing expenses related to data processing and analysis, as well as many additional resources without actual usage. By moving these processes locally, we eliminated the need for continuous cloud-based computational resources. Our solution integrated into their existing infrastructure, allowing for a smooth transition that maintained the integrity and accessibility of their data.

Furthermore, our solution is designed to be highly customisable, ensuring that the customer only uses and pays for what they actually need. Unlike other providers that bundle unnecessary features and resources, our software is modular, allowing clients to select and pay for only the components that are relevant to their operations. This not only reduces costs but also ensures that the system remains streamlined and efficient. By eliminating redundant resources and focusing on the customer's specific requirements, we helped them avoid the financial drain associated with over-provisioning. This tailored approach not only optimised their data modelling processes but also contributed to a more sustainable and cost-effective business model.