• AI agents on Azure helping a beginner automate cloud tasks

    AI Agents on Azure: Practical Insights for Learners

    Many people learning Azure still struggle with repetitive manual tasks. AI Agents on Azure for learners offer a practical way to handle these challenges. When a 2 AM alert fires, the usual process involves manually checking the cause, reviewing affected processes, and examining the whole system. AI agents can [...]

  • What Happens When AI Can Start Buying Things for You? — Understanding UCP

    Imagine asking an AI: “Find me a mechanical keyboard under ₱3,000 and just order it for me.” And instead of giving you links… it actually completes the purchase. Sounds convenient, but also a bit unsettling at the same time. That might sound futuristic, but this idea is becoming increasingly [...]

  • rchitecture diagram of Amazon S3 Files showing the data flow between Amazon EC2 (The Boss), EFS Cache (The Desk), and S3 Storage (The Warehouse) using Fast and Slow paths

    Amazon S3 Files: Object Storage Meets File Performance

    Hello, Dojos! If you're a student or an aspiring architect, you know Amazon S3 is the "infinite warehouse" of the cloud. It’s perfect for storing massive datasets, but it can be slow to grab one small file when your code is running. Traditionally, you had to manually copy data [...]

  • Azure PlayCloud Labs for beginners illustration showing transition from guided labs to real projects

    From Guided Labs to Real Projects: How Azure PlayCloud Labs Helps Beginners Apply What They Learn

    When beginners first explore cloud computing, one common assumption is that they need to understand everything before they can start building anything. For many learners, platforms like Azure can feel overwhelming at first, not because the concepts are impossible, but because the environment looks complex and production-like, where mistakes [...]

  • how i used ai to teach myself python

    How I Used AI to Teach Myself Python (No Coding Background Required)

    The problem: our education was not enough Companies today are aggressively hiring for AI and tech skills. The job postings are everywhere. But here is the uncomfortable truth: the education most of us received did not prepare us for this shift. I took Computer Engineering in college, but it [...]

  • You Don’t Need to Start Over in Tech: Turning Your Past Skills Into an Advantage

    When people talk about entering the tech field, one idea often comes up: that starting over in tech means you have to start from zero. For many students and beginners, this belief can feel intimidating. It creates the impression that only those with a strong technical background can succeed, [...]

  • Learning from Tutorials Is Easy But Can You Build Without Them?

    You’ve probably done this before, especially if you’ve been learning from tutorials online. You open a YouTube video, follow along step by step, and after a few hours, you end up with something that actually works. Maybe it’s a website, an app, or just a small project you found [...]

  • render-to-revenue-featured-image

    From Render to Revenue: Automating Your Creative Workflow with AWS and Python

    As a content creator, your value lies in your vision, not in the three hours you spend renaming files, transcoding 4K footage into proxies, or manually uploading clips to five different social platforms. In the industry, we call the repetitive, soul-crushing tasks "undifferentiated heavy lifting." In this article, we’ll [...]

  • Student tech portfolio highlighting real software projects and UI case studies

    Why Having a Portfolio (With Real Projects) Changes Everything

    When I first started learning tech, I genuinely thought the only thing that mattered was stacking skills. I kept chasing tutorials, certifications, and whatever tool people said was “in demand,” because it felt like the safest way to grow. But the biggest turning point in my journey happened when I [...]

  • Diagram showing how Claude Skills create reusable AI workflows and automate tasks consistently

    Claude Skills Guide: Best Skills to Use Right Now (2026 Edition)

    Claude Skills are quickly becoming one of the most powerful ways to use AI effectively, but the growing number of available Skills has also made things more confusing. With thousands of options across GitHub and community hubs, it’s easy to assume that more Skills automatically mean better results. In reality, [...]

  • Instrumenting Your Application with AWS X-Ray

Instrumenting your Application with AWS X-Ray

Bookmarks Instrumenting your Node.js application Instrumenting your Java application Instrumenting your C# .Net application Instrumenting your Python application Instrumenting your Go application Instrumenting your Node.js application The AWS X-Ray SDK for Node.js provides middleware that you can use to instrument incoming HTTP requests. You need to add the SDK to your application’s dependencies, usually via package.json. Initialize the SDK client and add it to your application [...]

  • Calculating-Required-RCU-And-WCU-For-Your-DynamoDB-Table

Calculating the Required Read and Write Capacity Unit for your DynamoDB Table

Read Capacity Unit On-Demand Mode When you choose on-demand mode, DynamoDB instantly accommodates your workloads as they ramp up or down to any previously reached traffic level. If a workload’s traffic level hits a new peak, DynamoDB adapts rapidly to accommodate the workload. The request rate is only limited by the DynamoDB throughput default table limits, but it can be raised upon request. For on-demand mode tables, you don't need to specify how much [...]

  • Lambda-Integration-With-Amazon-DynamoDB-Streams

AWS Lambda Integration with Amazon DynamoDB Streams

Amazon DynamoDB is integrated with AWS Lambda so that you can create triggers, which are pieces of code that automatically respond to events in DynamoDB Streams. With triggers, you can build applications that react to data modifications in DynamoDB tables. After you enable DynamoDB Streams on a table, associate the DynamoDB table with a Lambda function. AWS Lambda polls the stream and invokes your Lambda function synchronously when it detects new stream records.  Configure [...]

  • Kinesis Scaling Resharding And Parallel Processing

Kinesis Scaling, Resharding and Parallel Processing

Kinesis Resharding enables you to increase or decrease the number of shards in a stream in order to adapt to changes in the rate of data flowing through the stream. Resharding is always pairwise. You cannot split into more than two shards in a single operation, and you cannot merge more than two shards in a single operation. The Kinesis Client Library (KCL) tracks the shards in the stream using an Amazon DynamoDB table, [...]

  • DynamoDB Scan vs Query

DynamoDB Scan vs Query

Scan The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. The total number of scanned items has a maximum size limit of 1 MB. Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation. Scan uses eventually consistent reads when accessing the data in a table; therefore, the result [...]

  • ECS Task Placement Strategies

ECS Task Placement Strategies

A task placement strategy is an algorithm for selecting instances for task placement or tasks for termination. When a task that uses the EC2 launch type is launched, Amazon ECS must determine where to place the task based on the requirements specified in the task definition, such as CPU and memory. Similarly, when you scale down the task count, Amazon ECS must determine which tasks to terminate.  A task placement constraint is a rule [...]

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