This content originally appeared on DEV Community 👩‍💻👨‍💻 and was authored by Pramit Marattha
Introduction
The advent of big data and cloud computing has had far-reaching effects across many industries. If you're thinking of getting a competitive edge for your business, you've probably already considered tracking search engine rankings as well as other data that can help you decide where to spend time and money. You'll be working with a limited budget, so you'll need every penny you can get.
Chaos Genius lets its users extract, integrate, analyze, and visualize data from the web. This article explores how to optimize the cost of a data warehouse with Chaos Genius. The cost of data warehouses has been on the rise for a variety of companies in different industries—from healthcare agencies, startups, open source companies, to small/big manufacturers using big data analytics tools. Manual cost calculations are inefficient, but Chaos Genius plans to solve this problem by automating complex analysis so that businesses can get insights more quickly and easily.
In this article, we examine the challenges in monitoring data warehouse cost and how we can automate and optimize this process by utilizing the power of ML-enabled analytics open source tools like Chaos Genius.
Costs associated with Data Warehouses
Data warehouses are one of the most complex yet vital components to any kind of business. They hold all the critical data that allows companies to make decisions about their future. Unfortunately, data warehouses can also be very expensive to maintain and run. The major costs associated with a data warehouse include:
- Hiring skilled professionals for design, implementation, and integration
- Setting up the infrastructure for hosting the database server(s)
- Building an ETL (extract, transform, load) process that can ingest transactional feeds efficiently into the database(s)
- Developing application code to query these databases and generate reports
In addition to all this, there are also other hidden costs such as maintenance, support, upgrades, etc., which may not be obvious at first glance but add up over time if not accounted for properly!
With so many moving parts involved with a data warehouse, it can be difficult for an organization without specialized knowledge or experience in this area to know where they should begin when trying to optimize costs.
Cloud-Based Data Warehouses
Cloud based data warehouses offer many benefits, but it's not without its challenges. Cloud cost management and optimization are an obstacle for many businesses. You can use spreadsheets or other tools to track your costs, but these methods are unreliable and can lead to inaccurate or inconsistent reporting.
There are various types of data warehouses and they come with many different costs. This can make it difficult to compare one data warehouse to another or even know what your own business’s data warehouse costs are.
Manual Cost Optimization
The first step in optimizing data warehouse costs is understanding what your current costs are. This will give you a baseline to compare against as you make changes to your infrastructure. To do this, you'll need to get a sense of what kind of resources are being used by each data warehouse (e.g., storage, CPU time) and how much those resources are costing in total each month. You can do this by looking at reports from your cloud provider or other tools they provide that allow you to see how much capacity is being used by each service on an hourly basis.
Once you have a sense of what your current costs are, you can identify which services are driving up the cost.
Issues with manual cost management
The issues faced with manual data warehouse cost management include the following:
- Massive time consumption: It is time-consuming as it involves manually collecting and recording data from different departments. It also requires a lot of effort to ensure accuracy and consistency in tracking the costs incurred during different stages and aspects of the project.
- Does not scale: A manual approach does not scale well as the size of your company grows. As your business grows and becomes more complex, it becomes harder to keep track of all your expenses.
- Error-prone and unreliable estimates: Manually tracking costs can lead to errors that may not be detected until the end of the project or even after its completion. These errors could result in incorrect reporting, which would cause problems when making financial decisions based on inaccurate information.
- Lack of transparency: Manual tracking usually takes place behind closed doors, leaving stakeholders in the dark about how funds are being spent on a project. This makes them less likely to approve future funding requests or question spending decisions made by management.
Chaos Genius: An Effective Tool to Analyze Data Warehouse Costs
Chaos Genius is a fully open source machine learning-powered analytics engine for outlier detection and root cause analysis. It helps in monitoring and analyzing high-volume business, data, and system metrics. It provides multidimensional drill-downs and insights into your data, detects anomalies, enables smart alerting, performs seasonality analysis, automates root cause detection—and a lot more features!
Chaos Genius employs machine learning and artificial intelligence (ML/AI) to sift through data and provide more precise cost projections and enhanced metrics for the data warehouse, allowing businesses to save time and effort while making more informed decisions.
It provides all the information necessary for any business individual to track down their costs—as shown in the screenshot below, you can see the KPI summary section gives details about the previous and current month’s metrics, calculates the changes in those metrics, and provides the anomalies it detected during that period.
The drill-down section provides all the metrics based on a particular server region.
Chaos Genius is completely open source, and you can use it free of charge. In addition, you get unlimited metrics and community support. It also offers a pro service, where you can get security and compliance support in addition to user access management support.
Aside from business observability, Chaos Genius also provides Snowflake Observability, which helps optimize and monitor the cost of a Snowflake while also improving the performance of snowflake queries.
By analyzing your Snowflake queries, databases, and resource usage, Chaos Genius enables you to better enhance the efficiency of these systems and reduce expenditures by 10% to 30%.
The pricing is quite affordable, with three tiers. The first tier is free, and the other two are business-oriented plans intended for companies that want to monitor more metrics.
Conclusion
The demand for cloud-based solutions has skyrocketed. With the massive amounts of data being generated every day, data warehouses have become an integral part of any business intelligence or analytics platform. This is where Chaos Genius comes in. Automated root-cause analysis and Anomaly Detection are just two of the many benefits of using this product.. Chaos Genius harnesses the power of AI and ML to immediately supply advice on optimal strategies and course corrections. More importantly, it has the potential to increase a business's margins as it saves on data warehouse costs while ensuring compliance with regulations.
This content originally appeared on DEV Community 👩‍💻👨‍💻 and was authored by Pramit Marattha
Pramit Marattha | Sciencx (2022-12-19T04:32:45+00:00) Discover the Chaos Genius Way to Slash Your Data Warehouse Costs and Boost ROI. Retrieved from https://www.scien.cx/2022/12/19/discover-the-chaos-genius-way-to-slash-your-data-warehouse-costs-and-boost-roi/
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