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Cloud Computing

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Rise of Microservices in Modern Apps: From One Block to Many

2025-10-12T18:11:46+00:00

  Have you ever stopped to think about the pain of trying to fix just one small piece of a massive software system without accidentally wrecking everything else? Honestly, most of the time, that's almost impossible. That challenge is what led to the rise of microservices in modern apps, a shift from old monolithic architectures to smaller, independent services.. It represents a major architectural shift, moving away from those huge, rigid monolithic setups and embracing smaller, completely independent services. For ages, developers built apps as a single, solid block of code, which we all call the monolithic architecture. It was [...]

Rise of Microservices in Modern Apps: From One Block to Many2025-10-12T18:11:46+00:00

The Future Is Containerized: Why Every Cloud Engineer Should Care About Docker in 2025

2025-10-06T04:30:42+00:00

In 2025, software development is moving faster than ever. Businesses demand speed, reliability, and scalability. Cloud infrastructure is no longer optional — it’s the backbone of modern applications, powering everything from streaming platforms like Netflix to AI-driven fintech solutions. In this fast-paced environment, one technology has emerged as a game-changer for cloud engineers: Docker. An illustration of a developer using Docker for containerized applications. Picture this: a developer spends weeks building a web application. On their laptop, it runs flawlessly — smooth performance, no errors. But once deployed to production, chaos erupts. Dependencies don’t match, libraries are missing, [...]

The Future Is Containerized: Why Every Cloud Engineer Should Care About Docker in 20252025-10-06T04:30:42+00:00

Prevent EC2 Downtime: Setting Up Status Check Alarms to Auto-Reboot an Amazon EC2 Instance

2025-10-05T00:49:10+00:00

When you’re running a production website on an EC2 instance, the last thing you want is for it to unexpectedly go down while you’re focused on other tasks. Without the right monitoring in place, you might not even realize your site has been offline for a while, and repeated downtimes like this are unacceptable for any production application. If you’ve faced this issue before or just want to be prepared so it doesn’t happen to you, then you’re in the right place. In this article, I’ll show you a simple way to automate recovery with CloudWatch so your site stays [...]

Prevent EC2 Downtime: Setting Up Status Check Alarms to Auto-Reboot an Amazon EC2 Instance2025-10-05T00:49:10+00:00

Prevent Unforeseen Azure Costs: Setting Up Automated Slack Alerts for Your Subscription

2025-10-01T08:48:15+00:00

Cloud computing gives companies access to cutting-edge services, flexibility, and scalability. Effective cost management, however, is one of the main challenges to cloud adoption. Despite Azure's robust offerings, businesses risk unexpectedly high costs if they don't have active monitoring. Image generated by Gemini This is where cost monitoring and automated notifications come into play. By proactively tracking cloud expenses and sending cost summaries to communication platforms like Slack, teams can take immediate action, enforce budgets, and maintain financial governance. In this article, we’ll walk through building a cost notifier system that fetches Azure subscription costs, breaks them down by service, and [...]

Prevent Unforeseen Azure Costs: Setting Up Automated Slack Alerts for Your Subscription2025-10-01T08:48:15+00:00

Career Shift to Cloud Engineering: The Skills I’m Learning First

2025-09-20T12:04:51+00:00

When I first decided to shift my career to cloud engineering, I had zero tech background. I didn’t study IT, didn’t know programming, and felt completely lost when terms like Linux, Python, SQL, and GitHub started popping up everywhere. At first, I even questioned whether I could really do this. But here’s the truth: you don’t need to be a genius to learn cloud engineering. You just need curiosity, consistency, and the right tools to practice hands-on. For me, two resources made all the difference: TechKubo, which offers browser-based playgrounds for Linux, Python, and SQL, and Tutorials Dojo, which provides [...]

Career Shift to Cloud Engineering: The Skills I’m Learning First2025-09-20T12:04:51+00:00

The AWS AI Ripple: Compute, Services, and Generative Intelligence

2025-09-12T09:08:43+00:00

In 2006, building AI required a PhD and a million-dollar lab. In 2024, it requires a laptop and a $5 AWS credit. Before, training a neural network was something only elite research labs with specialized hardware could accomplish. Now, anyone with curiosity and an internet connection can spin up AI models rivaling what Fortune 500 companies built just five years ago. That transformation was driven by Amazon Web Services (AWS) through three strategic waves of innovation: Compute Foundation, AI as a Service, and Generative Intelligence. The AWS AI Ripple. While most tech giants built AI for themselves, AWS built the [...]

The AWS AI Ripple: Compute, Services, and Generative Intelligence2025-09-12T09:08:43+00:00

Amazon SageMaker Clarify

2025-08-29T07:18:48+00:00

Bookmarks Key Capabilities Core Components Configuration Components Bias Metrics Overview SHAP Explainability Validate Your Knowledge Amazon SageMaker Clarify Cheat Sheet Amazon SageMaker Clarify is a SageMaker AI feature for detecting bias and explaining model predictions. Supports both pre-training and post-training bias analysis. Provides feature attribution to explain how input features influence predictions. Can monitor deployed models for bias drift and feature attribution drift over time. Key Capabilities Bias Detection Pre-training bias: Analyzes datasets before model training. Post-training bias: Evaluates model predictions for fairness across facets. Supports binary, multiclass, and regression tasks. Interpreting [...]

Amazon SageMaker Clarify2025-08-29T07:18:48+00:00

Amazon DataZone

2025-08-15T18:27:14+00:00

Amazon DataZone Cheat Sheet Amazon DataZone is a fully managed data management service by AWS. Facilitates cataloging, discovery, sharing, and data governance across AWS, on-premises, and third-party sources. Enables organizations to implement a data mesh architecture, promoting decentralized data ownership and self-service analytics. Integrates seamlessly with AWS services like Amazon Redshift, Amazon Athena, AWS Glue, and AWS Lake Formation. Features Business Data Catalog: Organizes data assets within the business context, making them easily discoverable. Data Products: Groups related data assets into cohesive units for specific business use cases, simplifying access and management. Automated Metadata Generation: Utilizes large language models (LLMs) [...]

Amazon DataZone2025-08-15T18:27:14+00:00

Amazon Data Firehose

2025-08-15T18:25:17+00:00

Amazon Data Firehose Cheat Sheet Easily stream real-time data to AWS destinations without custom applications. Adjusts resources dynamically to match data volume. AWS Lambda supports data format conversion (e.g., Parquet, ORC) and custom transformations. Works seamlessly with Amazon S3, Redshift, OpenSearch, Splunk, and third-party HTTP endpoints. Features Real-Time Data Delivery: Streams data with minimal latency to multiple destinations. Data Buffering: Configurable buffer sizes and intervals to control data flow. Compression & Encryption: Supports GZIP and Snappy compression; integrates with AWS KMS for encryption. Monitoring & Alerts: Amazon CloudWatch metrics and alarms monitor delivery stream health. Dynamic Partitioning: Organizes data into [...]

Amazon Data Firehose2025-08-15T18:25:17+00:00

AWS Clean Rooms

2025-08-15T18:23:30+00:00

AWS Clean Rooms Cheat Sheet AWS Clean Rooms provide a secure, privacy-enhanced collaboration environment for analyzing shared datasets without exposing underlying data. Allows fast collaboration setup with minimal configuration, enabling users to analyze datasets where they reside (AWS or Snowflake). No need to move or extract data for collaborative analysis. Features Fast Setup: Use AWS Management Console or API to create collaboration spaces in minutes. Zero‑ETL Data Collaboration: Analyze data without transferring it from AWS or Snowflake. Privacy Controls: Differential Privacy: Protects against re-identification by obfuscating outputs. Cryptographic Computing: Keeps data encrypted during use and processing (C3R). Role-Based Access: Control [...]

AWS Clean Rooms2025-08-15T18:23:30+00:00

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

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