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S3 Inventory + Athena = Smarter Lifecycle Policies

1/28/2025

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AWS's S3 Inventory service, when paired with Amazon Athena, can revolutionize how you manage and optimize storage lifecycle policies. By querying S3 Inventory data directly in Athena, you gain actionable insights into your storage usage, helping you make data-driven decisions to reduce costs and improve efficiency.
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How S3 Inventory and Athena Can Optimize Storage
  • Analyze usage patterns: Query object attributes such as age, size, and storage class to better understand your data.
  • Optimize costs: Identify objects that can be transitioned to cheaper storage tiers, including Intelligent-Tiering for automated savings.
  • Streamline deletions: Locate outdated or unnecessary files that can be safely removed to free up storage.

​Whether you prefer running queries directly in the Athena console or integrating them into Python workflows, S3 Inventory is a powerful tool for managing large-scale S3 storage environments.

Pro Tips for Efficient S3 Inventory Usage
  • Run S3 Inventory once for a one-time analysis, and disable it after generating your first report to avoid ongoing charges.
  • Select Parquet as your output format for better Athena performance and lower query costs.

Want to Optimize Your S3 Storage Strategy? Are you using S3 Inventory, or are you considering implementing it? Let’s discuss how you can leverage these tools for smarter storage management and cost savings. Join the conversation over on LinkedIn, or connect with me directly on my LinkedIn page to explore tailored solutions for AWS cost optimization and FinOps best practices!
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Parquet is Awesome for AWS Cost Optimization

1/21/2025

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​In FinOps, leveraging Parquet’s columnar storage format with tools like Amazon S3 and Athena can significantly reduce data transfer and storage costs. These are key factors in cutting your AWS bill while also speeding up queries.

But here’s where it gets even better: combining Parquet with Python enables powerful cost analysis and automation. With libraries like Pandas and PyArrow, you can process Parquet files efficiently and build custom FinOps dashboards to track and optimize cloud spend in  real time!

Ready to Explore Parquet and Python for FinOps?
Are you already using Parquet and Python in your FinOps toolkit, or are you considering them to optimize your cloud costs? Let’s dive deeper into how these tools can transform your cost management strategy. Join the conversation over on LinkedIn, or connect with me directly on my LinkedIn page to learn more or explore how we can help your organization achieve AWS cost optimization success!
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Building the Ideal FinOps Team for Cloud Cost Optimization

1/14/2025

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When forming a FinOps team, having the right mix of skills is crucial for effective cloud cost management. Below is the ideal blend of skills needed for a team ready to tackle the complexities of cloud optimization:
Core Team Skills
  • IT Finance: A solid understanding of ROI, budgeting, and cost models is essential to bridge the gap between IT and Finance.
  • Operations: Hands-on experience with managed services, automation, and recommending operational improvements is invaluable.
  • Business Intelligence/Data Analysis: Analyzing business operations data to extract actionable insights is key to informed decision-making.
  • Data Engineering: Managing and preparing data for efficient analysis ensures accurate and timely insights.

Pro-Tip for Getting Started
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If you’re just beginning to build your FinOps team, starting small with a versatile, cross-skilled resource can be highly effective. Look for individuals with the following key skills:
  • Cloud Operations / DevOps: Expertise in cloud optimization and the ability to collaborate with Development and Engineering teams.
  • Data Engineering: Data wrangling is critical, and familiarity with Python can help manage billing data, resource inventories, and price lists.
  • BI/Data Analysis: Proficiency with spreadsheets and visualization tools is essential for generating insights for Finance and leadership.
  • Management: As your organization grows, management experience will be crucial for scaling the team and driving long-term success.
Even with just one versatile team member, leveraging automation can significantly enhance your cloud cost optimization efforts. As the workload increases, this individual can take on a leadership role and guide the growth of the team to meet evolving demands.

Have Questions About Building a FinOps Team?
Whether you're just starting out or scaling your team, we’d love to hear from you. Join the conversation over on LinkedIn, or connect with me directly on my LinkedIn page to share your challenges, ask questions, or explore opportunities to collaborate on building the ultimate FinOps strategy. Let's work together to optimize your cloud costs!
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How is FinOps Different from Cloud Cost Optimization?

1/7/2025

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In the fast-evolving world of cloud computing, Cloud Cost Optimization and FinOps are terms that often get mixed up. While it's true that FinOps includes cost optimization as a crucial element, it’s much more than just trimming expenses—it’s about creating value and fostering accountability across your organization.

What is Cloud Cost Optimization?
Cloud Cost Optimization focuses solely on reducing cloud expenses. It's about implementing tactical changes to make cloud usage more efficient and cost-effective. Some common strategies include:
  • Rightsizing resources to avoid paying for unused capacity.
  • Cutting waste by identifying and shutting down idle or unnecessary resources.
  • Leveraging committed spend discounts like Savings Plans or Reserved Instances.
  • Tuning autoscaling to match actual usage patterns.
  • Designing cloud architectures that are optimized for cost efficiency.
These actions are vital for organizations looking to reduce their immediate cloud costs.

​What is FinOps?
FinOps—or Financial Operations—is a broader strategic framework aimed at fostering a culture of accountability for cloud spending across the organization. Unlike Cloud Cost Optimization, FinOps isn’t just about saving money; it’s about driving sustainable cloud usage that aligns with business objectives.

Key Components of FinOps:
  • Information: Achieving visibility into cloud costs and creating accountability.
  • Optimize: Improving efficiency and reducing costs where possible.
  • Operate: Continuously managing cloud resources for both cost and performance.
  • Culture and Collaboration: Encouraging cross-functional teamwork between engineering, finance, and leadership.
  • Measurement and Benchmarking: Tracking metrics, analyzing trends, and refining strategies to maximize value.
FinOps creates a shared language between teams to ensure cloud investments deliver measurable business value.

​The Core Difference
Here’s a quick summary of the distinction:
  • Cloud Cost Optimization: Tactical methods to save costs now.
  • FinOps: A culture and strategy to manage costs and maximize cloud value over time.
While cost optimization is an important element of FinOps, the latter takes a holistic approach that focuses on driving collaboration, aligning cloud spending with business goals, and continuously improving the return on investment (ROI) from cloud resources.

​What’s Your Take?
Have thoughts or questions? Join the conversation over on LinkedIn, or connect with me directly on my LinkedIn page if you'd like to explore opportunities to work together on FinOps and AWS cost optimization! 
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    Brandorr Group LLC is a one-stop cloud computing solution provider, helping companies manage growth and ship new projects using cloud and scalability best practices.

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About Brandorr

With decades of experience in cloud technologies and specialties in high volume/throughput, high availability, and disaster mitigation engineering, Brandorr Group has the experience to help customers of all sizes develop, deploy and manage their new or existing infrastructure in the cloud.

By using provisioning and configuration management technologies such as Docker, Ansible, Chef, Puppet, Terraform, and CloudFormation, we are able to quickly and cost-effectively scale and deploy infrastructure projects of any size.
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Additionally, Brandorr maintains 24x7 systems engineering, security and monitoring teams augmented by database administrators and software developers to ensure projects are delivered and systems remain highly available while maintaining performance.
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