• claude-book an exam

    How to Book the Claude Certified Architect – Foundations (CCA-F) Exam

    The Claude Certified Architect – Foundations (CCA-F) is Anthropic's foundational certification for professionals who design and build production systems with Claude. One thing is worth understanding before you register: the exam is scenario-based, not concept-based. Rather than asking you to define terms or recall facts in isolation, each question [...]

  • AWS AIF-C01, CLF-C02

    Get AWS AIF-C01 and CLF-C02 with 50% OFF: Build Your Future with Two AWS Certifications!

    Artificial intelligence and cloud computing are changing the way we work. From writing emails with AI assistants to running business applications in the cloud, these technologies have become part of our everyday lives. You no longer need to be a software engineer to benefit from understanding how they work. [...]

  • Comparison graphic for local web and mobile app development setups using Expo, Flutter, and Capacitor.

    The Best Local Development Setups for Web and Mobile Apps

    Local development setups can affect how fast you build, test, and ship web and mobile apps. This guide is for students, developers, and everyone that wants to compare three practical cross-platform options. You will see how Next.js with Expo, Flutter with Android Studio, and Next.js with Capacitor perform in [...]

  • Machine Learning with PyTorch Beginner Guide Cover Banner

    My First Exposure to Machine Learning with PyTorch

    If you have ever opened a machine learning tutorial and felt like you were reading a math and statistics textbook, you are not alone. I spent months telling myself I would “get into AI eventually”, until I finally arrived at my breakthrough. This is not a textbook breakdown of [...]

  • AI browser agents automating web tasks using Browser Use and Playwright

    Building AI Browser Agents with Browser Use and Playwright

    Artificial intelligence is changing how developers interact with the web. Traditional browser automation was originally designed around predefined scripts, rigid workflows, and predictable user actions. Developers manually wrote automation logic that followed exact selectors, buttons, and navigation sequences. While effective, these systems often broke whenever websites changed their layouts [...]

  • Cloud-native software development

    The New Software Stack: AI + GitHub + Cloud

    Software development looks very different today than it did five years ago. Developers are no longer working with isolated tools and manual deployment pipelines. Instead, the modern software stack has grown into a connected ecosystem where artificial intelligence, cloud infrastructure, automated DevOps workflows, and collaborative development platforms all work [...]

  • Artificial Intelligence helping junior developers learn coding

    AI Coding Assistants Are Changing Junior Developer Learning Habits

    Human AI workflows are rapidly transforming modern software development. From generating boilerplate code to debugging cloud infrastructure configurations, AI coding assistants are becoming part of the everyday toolkit of developers around the world. For junior developers, this shift is significantly changing how programming is learned. A few years ago, [...]

  • Connecting the Pieces: How AWS Services Form Cloud Architectures

    One of the biggest surprises I encountered while learning AWS was realizing that understanding individual services and understanding cloud architecture are not the same thing. Like many beginners, I started by learning services one at a time. EC2 was a virtual server. S3 was object storage. RDS was a [...]

  • lovable-lambda

    How to Deploy a Lovable Site to AWS Lambda Using the AWS Lambda Web Adapter

    There is a real satisfaction in taking something you built yourself and putting it live on infrastructure you own and control. This guide shows you how to deploy a Lovable site to AWS Lambda using the AWS Lambda Web Adapter, so a page you designed in an afternoon can [...]

  • AI Workflows

    The Rise of Human + AI Workflows

    I've grown with AI during it's formative years to see how the public's perception constantly shift. AI was once framed as a threat: You vs. AI. Then it became a divide: AI-assisted users vs. non-AI-assisted users. Now, we are entering the real future of work: You + AI. The [...]

  • 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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