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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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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

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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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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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Dev

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Azure Container Apps: Technical Insights from Production Deployments

Scaling Architecture: Production scaling patterns reveal behavior and adaptation in real workloads.
Network Implementation: Network patterns exhibit dynamic behavior and effective adaptation capabilities.
State Management Patterns: State handling in production demonstrates practical and efficient approaches.
Deployment Architecture: Deployment patterns showcase sophisticated orchestration and efficient processes.

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Hackernoon

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Crafting Multi-Cloud Systems: How Tech Experts Are Solving Connectivity

Multi-cloud strategies offer a solution to optimize performance across regions, but they come with challenges of inconsistent architecture, security models, and service offerings.
Arun Pandiyan Perumal, an expert in multi-cloud strategies and complexities, emphasizes integrating automation, security, and reliability checks to design comprehensive and scalable systems.
Site Reliability Engineering principles standardize automation workflows, reduce downtime, and ensure application availability across multiple cloud providers.
Perumal believes that AI-driven cloud infrastructure management can lead to self-healing systems, resulting in enhanced performance, security, and cost efficiency.

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Dev

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Latitude Cuts DB Costs by $12K/Month While Scaling Real-Time AI Gaming 🎮

AI gaming company Latitude migrated from Amazon Aurora to TimescaleDB for their interactive storytelling platform, saving $12K monthly in storage costs while improving query performance.
TimescaleDB is an open-source database built on PostgreSQL, optimized for time-series data and real-time analytics.
Latitude faced challenges with rising storage costs, degrading query performance, challenges with real-time analytics, and resources consumed by database management.
After migrating to TimescaleDB, Latitude achieved $12,000 monthly cost reduction, improved query performance, seamless real-time analytics, and scalability to handle larger datasets.

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The New Stack

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How Slack Transformed Cron into a Distributed Job Scheduler

Slack transformed its cron jobs into a distributed system due to issues with a single server and increased maintenance time.
Initially, Slack used a single server to handle cron jobs but faced limitations and downtimes due to out-of-memory errors.
Moving to a distributed system enabled Slack to increase reliability, reduce maintenance, and gain more job insight.
Instead of opting for Kubernetes's own cronjob, Slack leveraged its existing asynchronous computing platform and integrated a job execution engine with cron.
Cron scripts were executed through a dedicated queue wrapped as jobs using Kafka and an AWS EC2 instance.
Leader election with locking was implemented to ensure a primary server executed all scripts, with backup servers ready to take over swiftly.
A database was introduced to track script execution statuses, providing centralized information on job runs.
By leveraging existing systems like Golang and Kubernetes, Slack successfully transitioned to the distributed cron system, reducing on-call burdens.
The new system has executed over six million scripts with reduced maintenance complexities, highlighting the benefits of utilizing current resources.
Adams emphasized the importance of simplicity and utilizing available tools to streamline operations and scale efficiently.

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Hackernoon

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Here's How To Connect an Azure Kubernetes Cluster Using Kubectl

Azure Kubernetes Service (AKS) simplifies the deployment, management, and scaling of containerized applications using Kubernetes.
To connect to an Azure Kubernetes Service (AKS) cluster using kubectl, you will need to perform the following steps: Install the Azure CLI, Install Kubectl, Authenticate with Azure, Set the subscription, Generate kubeconfig file, and Verify the connection.
Connecting to an AKS cluster using kubectl is essential for monitoring cluster health, deploying applications, and performing cluster administration tasks.
By following this guide, you can effectively manage your Kubernetes environment in Azure and utilize tools like kubectl and Azure CLI for efficient cluster management.

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