A blog site on our Real life experiences with various phases of DevOps starting from VCS, Build & Release, CI/CD, Cloud, Monitoring, Containerization.
Continue reading “From Messy Logs to Structured Analytics using AWS S3, Lambda, and Athena”
Modern data architectures demand flexible, scalable, and cost-effective solutions that can handle diverse analytical workloads. Amazon Web Services offers multiple data warehousing approaches that serve different needs:
Continue reading “Technical Case Study: Amazon Redshift and Athena as Data Warehousing Solutions”
Understanding cloud spending can be overwhelming without the right tools. Common questions like “Where is my money going?” and “Which AWS services are driving my cloud costs?” can be hard to answer without clear visibility.
That’s where the AWS Cost and Usage Report (CUR) comes in.
With CUR, businesses gain granular insights into AWS billing, helping them break down expenses by service, resource, or account. Without such a tool, gaining transparency into your cloud spend is not only difficult—but often inaccurate and time-consuming.
Continue reading “Understanding AWS Cost and Usage Reports (CUR)”
If you’re using AWS, you may have noticed data transfer fees being added to your expenses. These costs are often included in your cost and usage reports, but don’t be fooled, if they’re not monitored they can quickly add up and become a significant contributor to your AWS bills.
Many organizations may face unexpectedly high data transfer charges, which reach up to lakhs of rupees per year. To get a handle on these costs and potentially reduce them, it’s essential to get a clear picture of your data transfer costs and identify which resources are driving them.
Continue reading “How to Reduce AWS Data Transfer Costs: A CFO’s Guide to Cloud Savings”
