Tech Blogs - Tutorials Dojo

Seamless Monitoring: Get Slack Alerts for Every AWS Lambda Function Update
Keeping track of updates in your AWS Lambda function seems like an easy task, but it is actually time-consuming. Leaving your Lambda function unattended after deployment may incur risks in missing crucial updates that may affect its overall performance and functionality. And most of the time, you also do [...]
The Evolving Landscape of Digital Dialogue: DeepSeek vs. ChatGPT
In the sprawling digital age, where information spreads like a rapidly growing network, and the need for intelligent interaction grows significantly, artificial intelligence has stepped into the spotlight, transforming how we engage with technology and machines. DeepSeek and ChatGPT have emerged as important players in the field of natural [...]
AI-Driven Video Creation: How Luma AI Ray2 and Amazon Bedrock Are Transforming Content Production
The video production landscape is experiencing significant changes driven by artificial intelligence (AI) and machine learning advancements. These technologies are transforming how video content is created and consumed, offering creators and businesses new avenues for visual storytelling. A key player in this evolution is Luma AI’s Ray2, an innovative [...]
Creating a Self-Healing Mechanism for a Lightweight Website
Downtime can be a major disruption for any website, but for lightweight websites like personal blogs or any type of static site, a simple restart of the instance might be all that's needed to resolve the issue. In this article, we'll walk through setting up a self-healing mechanism using [...]
DeepSeek in Amazon Bedrock: A Comprehensive Demo
Bookmarks DeepSeek in Amazon Bedrock Workflow Overview DeepSeek in Amazon Bedrock Pre-requisites Implementation Processes As of January 2025, we’re seeing too much news about DeepSeek AI features in many media outlets, but how about implementing DeepSeek AI and AWS workloads? DeepSeek AI in [...]
PHP-FPM Failures Are Killing Your Uptime – Automate Slack Alerts Before It’s Too Late!
In today’s fast-paced digital landscape, where user expectations are at an all-time high, even a few seconds of downtime can have catastrophic consequences. Lost revenue, user dissatisfaction, and damage to your brand reputation are just the tip of the iceberg. If you're still relying on manual methods to monitor [...]
Commanding Genomics: AWS CLI for Bioinformatics Workflows
“This is becoming more troublesome…” I can hear you mumble as you move your mouse to click on the different AWS services you need in the console. As time goes by, it can get tiresome to keep on clicking things for your workflow instead of doing them in just [...]
Simplifying Knowledge Management with a Content Analysis Tool for Confluence
Did you know that organizations spend an average of 19% of their workweek searching for and gathering information? According to research from McKinsey & Company, inefficient knowledge management leads to wasted time and lost productivity—hindering teams from making real progress on meaningful work. (Source, McKinsey) In today’s digital-first environment, [...]
The Path Forward: AI Agents Driving Modern Workflows
Artificial Intelligence (AI) is no longer a concept of the future; it's an integral part of today’s digital era. As AI technology advances, businesses and developers increasingly find innovative ways to integrate machine learning into their workflows. One of the most powerful tools in this transformation is the AI [...]
Enhanced Data Processing and Retrieval with Amazon Bedrock’s New Capabilities
Data is at the heart of modern innovation, and the ability to process, analyze, and extract insights from diverse data types is more important than ever. Amazon Bedrock introduces a suite of advanced capabilities designed to simplify data management and enhance AI-driven applications. By automating workflows, integrating multimodal data, [...]

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 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 [...]

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 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

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

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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