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🚀 Git Cheat Sheet – Copy & Paste Commands Easily

Git Cheat Sheet – Copy & Paste Commands Easily
A Git Cheat Sheet has been built to simplify the Git workflow for developers.
It provides a quick reference for common Git commands, with copy-paste functionality for easy usage.
The cheat sheet helps save time and boost productivity in Git workflows.

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Dev

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Fundamental Concepts In Cloud Computing

Cloud computing refers to the delivery of computing services over the internet instead of traditional hardware and in-house data centers.
The benefits of cloud computing include on-demand availability, scalability, cost-efficiency, and global access.
Common types of cloud computing services are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
Virtualization enables the creation of virtual replicas of computer resources to optimize hardware usage, while scalability allows systems to grow or shrink computing resources based on demand.

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Medium

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Serverless Web App Deployment: Leveraging Cloudflare Workers and GitHub CI/CD for Zero-Cost…

This article presents a framework for deploying web applications using Cloudflare Workers and GitHub CI/CD.
The approach combines serverless computing, continuous integration, and continuous deployment to achieve efficient, scalable, and cost-effective deployment strategies.
The deployment architecture utilizes GitHub repositories, Cloudflare Workers, and Cloudflare's global edge network.
The methodology outlined in the article provides developers with a way to minimize operational expenses while maintaining high performance and global distribution.

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Dev

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Future AI Deployment: Automating Full Lifecycle Management with Rollback Strategies and Cloud Migration

As AI adoption rises, organizations seek efficient deployment, management, and scaling strategies for AI models, including AI observability for performance tracking.
A comprehensive AI-powered workflow with rollback integration ensures seamless deployment and proactive issue management.
The lifecycle includes model training, automated deployment with rollback support, proactive monitoring, anomaly detection, intelligent rollback strategy, and continuous improvement pipelines.
Different AI model types like Generative AI, Deep Learning, Traditional ML, and Reinforcement Learning pose unique challenges in deployment.
Strategies vary from implementing prompt engineering for Generative AI to checkpoint-based rollbacks for Deep Learning models.
Robust rollback processes involving fallback models, AI-driven triggers, and Kubernetes integration ensure stability during performance degradation.
Peak traffic readiness requires load testing, circuit breakers, chaos engineering, and caching strategies for improved system resilience.
Cloud migration strategies emphasize data synchronization, hybrid cloud approaches, migration rollback plans, data security, and cloud-specific model optimizations.
Tools like Azure Migrate, AWS Application Migration Service, and Google Cloud Migrate facilitate seamless cloud migration planning and execution.
By combining observability tools, intelligent rollback automation, and structured cloud migration, organizations can efficiently manage AI deployment lifecycles.

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Dev

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Amazon S3 Security in Enterprise Applications: A Comprehensive Guide with Case Studies

Amazon S3 is widely used but misconfigured S3 buckets can lead to major data breaches.
Enterprises need data security for regulatory compliance, data leak prevention, ransomware protection, and business continuity.
Security best practices include enabling S3 Block Public Access, Object Lock, Versioning, Encryption, and Cross-Region Replication.
Case studies highlight the importance of these practices through real-world incidents.
Lessons learned include always blocking public access, enabling Object Lock to prevent deletions, and using Versioning for data recovery.
Encrypting data at rest and in transit is crucial to meet compliance standards and prevent breaches.
Cross-Region Replication enhances disaster recovery and high availability by storing redundant data copies.
Securing S3 requires a multi-layered strategy including access controls, encryption, and replication.
Learning from past failures can help enterprises strengthen their cloud storage security.
Implementing best practices can help mitigate risks and protect data integrity in Amazon S3.

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Dev

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How to Create an Azure Compute Gallery and Capturing a VM Image

Step 1: Create an Azure Compute Gallery
Step 2: Capture a VM Image and Add It to the Compute Gallery
Conclusion: By completing these steps, you have successfully created an Azure Compute Gallery, captured a specialized VM image, and deployed new VMs from it.
Please refer to the article for detailed instructions.

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Dev

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Automating Software Development & System Administration: How Shell Scripts Can Save You Hours of Work

Automating Software Development & System Administration: How Shell Scripts Can Save You Hours of Work
Developers and system administrators often find themselves performing repetitive tasks.
A comprehensive library of shell scripts, auto_scripts, can streamline common tasks.
Automation provides consistency, reliability, and frees up mental bandwidth for more critical work.

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Dev

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### 🚀 How to Install Git Bash on Windows and Configure Your Identity Like a Pro 🔹 By Samuel Peter

To install Git Bash on your Windows PC, go to the official Git website and download the latest version. Then, run the downloaded .exe file and choose the installation location, select the required components, and choose the default editor. Finally, open Git Bash and configure your identity by setting your username and email using the 'git config' command.
To create your first Git repository, open Git Bash and navigate to a new folder, then initialize the repository using 'git init'. Create a sample file, add it to Git, and commit the changes.
With Git Bash installed and your identity configured, you have completed the initial setup. This is just the beginning of your Git journey.
Git Bash is a crucial skill for developers, DevOps engineers, and IT professionals in the fast-paced DevOps and software engineering world.

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Dev

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Multi-Cloud Deployment: Running Your App on AWS, Azure, and GCP

Multi-cloud deployment refers to using two or more cloud providers (AWS, Azure, GCP) to host applications, services, and infrastructure.
We’ll deploy a Node.js web application using Kubernetes on AWS, Azure, and GCP with Terraform and GitHub Actions for automation.
Multi-cloud deployment enhances resilience, performance, and cost efficiency. While complex, tools like Terraform, Kubernetes, and Jenkins simplify the process.
Stay Connected! Subscribe for more DevOps insights. Follow us on LinkedIn. Download our Multi-Cloud Deployment Cheat Sheet here.

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Dev

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Cloud-Native vs. Traditional IT: Why USA Businesses Are Moving to Cloud-Native Architectur

Businesses in the USA are shifting towards cloud-native architectures.
The shift is driven by the need for scalability, agility, and cost-effectiveness.
Traditional IT systems have drawbacks such as high maintenance costs and inflexibility.
Cloud-native architectures offer benefits like scalability, flexibility, and cost-efficiency.

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Dev

411

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🌟 Unlocking Kubernetes Ingress: The Gateway to Simplified Traffic Management 🌟

Kubernetes Ingress is a layer 7 load balancer that manages external HTTP/HTTPS access to services running in a Kubernetes cluster.
Ingress acts as an entry point to the cluster and allows for defining routing rules based on URL paths and host names.
There are two components of Ingress: Ingress Controller and Ingress Resources.
Ingress Controller watches for and performs the routing based on the defined rules, while Ingress Resources define the routing rules.

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Medium

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Spring Boot AutoConfiguration Order

Proper order of auto-configuration classes is important to avoid missing components, failed conditions, and runtime errors.
Dependencies between auto-configurations can be managed using annotations such as @ConditionalOnBean, @AutoConfigureBefore, and @AutoConfigureAfter.
Ordering can be set using the attributes before, after, beforeName, and afterName, or by assigning relative priority values.
Correct auto-configuration order ensures reliable and efficient startup of Spring Boot applications.

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Dev

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What Big Tech Companies Can Teach Us About Incident Management

Incident management is the process of identifying, analyzing, and resolving incidents that impact an organization's operations, services, or systems.
Best practices for incident management include having an incident response plan, establishing communication channels, prioritizing incidents, monitoring incidents, and conducting post-incident reviews.
Big tech companies like Amazon, Google, and Microsoft have robust incident management processes in place.
These companies invest in preparing for the worst, automating incident response, prioritizing communication, conducting post-incident reviews, and having dedicated incident management teams.

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Dev

426

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Setting Up an Automated Java Build and Deployment Pipeline with AWS CodeArtifact

This guide explains how to set up an automated Java build and deployment pipeline with AWS CodeArtifact.
The process involves setting up an EC2 instance, installing Java and Maven, cloning and configuring the Java project, setting up AWS CodeArtifact, configuring IAM permissions, generating an authorization token, configuring Maven to use CodeArtifact, and finally, publishing the package to CodeArtifact.
By following this setup, developers can ensure a robust and reusable package management process in a cloud-native CI/CD pipeline.
The integration of AWS CodeArtifact enables secure and scalable software delivery.

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Dev

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My Experience with OpenStack Ironic

The author has been accepted into the MLH fellowship program for the third time.
The author is working on OpenStack/Ironic under the guidance of the G-Research Open Source Team.
OpenStack is an open-source cloud computing platform for managing compute, storage, and networking resources.
Ironic is an OpenStack component for managing bare metal infrastructure, providing flexibility and automation for hardware deployments.

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