AWS Archives - Page 2 of 14 - DEVOPS DONE RIGHT.

DevOps Explained: What It Is, How It Works, and Why It Matters

Introduction to DevOps

DevOps has made a significant impact by reducing the gap between software developers and IT operations. This approach promotes collaboration between the two groups throughout the software lifecycle, simplifying the development process, speeding up delivery and leading to better results.

In this blog post, we will discuss in-depth, the importance of DevOps methodology in contemporary software development. We’ll examine the tools that facilitate this process, the benefits it provides, the potential challenges teams face, and how DevOps is reshaping team collaboration for faster, more efficient, and higher-quality results.

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Technical Case Study: Amazon Redshift and Athena as Data Warehousing Solutions

Introduction

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:

Amazon Redshift: A petabyte-scale, fully managed data warehouse designed for complex analytical queries
Amazon Athena: A serverless query service that allows direct querying of data in S3.

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How to Reduce AWS Data Transfer Costs: A CFO’s Guide to Cloud Savings

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.

This blog explores a practical scenario that sheds light on AWS data transfer pricing, highlighting the typical challenges teams encounter and offering actionable strategies to help you optimize your cloud expenditures and effectively manage AWS costs.

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End-to-End Data Pipeline for Real-Time Stock Market Data!

Transform your data landscape with powerful, flexible, and flexible data pipelines. Learn the data engineering strategies needed to effectively manage, process, and derive insights from comprehensive datasets.. Creating robust, scalable, and fault-tolerant data pipelines is a complex task that requires multiple tools and techniques.

Unlock the skills of building real-time stock market data pipelines using Apache Kafka. Follow a detailed step-by-step guide from setting up Kafka on AWS EC2 and learn how to connect it to AWS Glue and Athena for intuitive data processing and insightful analytics.
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