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Build and Manage Cloud Infrastructure with Terraform and AWS CLI

Efficient cloud infrastructure management enhances scalability, reliability, and cost reduction.
Setting up an Amazon EC2 instance using Terraform and AWS CLI to automate cloud resource provisioning process.
Steps include configuring the AWS CLI, creating a Terraform configuration file, initializing Terraform, validating and formatting the configuration, creating the infrastructure (EC2 instance), inspecting and verifying the EC2 instance, and deleting the EC2 instance after use.
By following these steps, users can deploy an AWS EC2 instance with Terraform and AWS CLI and have the ability to scale and automate the deployment process.

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Testim.io

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Why Developers Use Cross-Platform Frameworks

Developers use cross-platform frameworks to target multiple operating systems with a single code-base, saving time and resources.
These frameworks like Xamarin, Flutter, and React Native offer pre-built components and plugins for efficient app development.
Benefits of cross-platform apps include reusable code, reduced costs, wider audience reach, easy maintenance, and consistency.
They also provide a faster time-to-market for new products and businesses by enabling quick development and iteration.
However, challenges such as lower performance, delayed feature integration, and complex code can be faced when using cross-platform frameworks.
Native applications tend to have slightly better performance compared to cross-platform apps with similar functionality.
Developers using cross-platform frameworks need to manage updates and design differences between platforms and devices.
While cross-platform development simplifies app creation for both iOS and Android, native development still has its advantages and challenges.
Overall, cross-platform frameworks offer advantages like reduced time and cost, flexibility in integration, and access to extensive libraries for efficient app development.

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Medium

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Whispers of the Flesh

Armaan, drawn to the rumors of an underground VR game called Euphoria, enters the virtual world where desires are limitless.
Armaan's encounters with Mira in the game blur the lines between virtual and physical, but he senses something wrong.
While hacking into the game's code, Armaan discovers that Mira is not just a player but an integral part of the game itself.
Armaan's actions lead to the collapse of the game, but he finds himself trapped in a nightmarish pit of flesh and whispers.

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Dev

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Introduction to Amazon Redshift: A Data Warehouse Solution

Amazon Redshift is a fully managed, petabyte-scale data warehouse solution designed for fast SQL-based analytics.
Redshift overcomes traditional database challenges with columnar storage, massively parallel processing, and advanced compression.
It follows a cluster-based architecture with a leader node, compute nodes, and S3 backups for high availability and disaster recovery.
Amazon Redshift is ideal for business intelligence, log analytics, and data lake integration, offering better performance, scalability, and cost efficiency compared to traditional databases.

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The New Stack

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Five Enterprise K8s Projects To Look For at KubeCon London

KubeCon Europe in London is a platform to explore the latest innovations in the cloud native ecosystem with over 300 talks to choose from.
Despite many talks, some impactful open-source projects like Cluster API, KubeVirt, vCluster, Kairos, and LocalAI have minimal coverage.
Cluster API enables declarative provisioning and management of multicluster Kubernetes, making it important for enterprise Kubernetes adoption.
KubeVirt is popular for bringing VM workloads into Kubernetes clusters and has gained traction among enterprises looking for vendor-agnostic solutions.
vCluster allows creating virtual clusters within a host cluster, solving Kubernetes operational challenges and enhancing isolation features.
Kairos is a software factory for edge computing environments, offering customizable bootable images with advanced capabilities like Trusted Boot.
LocalAI, a project with over 30,000 GitHub stars, targets running AI models for local inference in Kubernetes clusters for privacy and far-edge deployments.
The cloud native ecosystem's diversity poses challenges for enterprise adopters, emphasizing the need to support innovative projects like the ones mentioned.
Choosing non-opinionated platforms that facilitate the adoption of new projects is crucial to driving innovation in the cloud native landscape.
The post highlights the importance of exploring lesser-known projects at KubeCon London and supporting advancements in the cloud native space.

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Medium

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Get Ready for $2,500 in STON from STON.fi in CryptoMagnate's New Season!

CryptoMagnate's new season offers a play-to-earn gaming experience on Telegram.
Updates include a game simulator inspired by the STON.fi interface.
Exclusive STON.fi tasks are available for in-game currency rewards.
The competitive leaderboard offers a chance to win up to $2,500 in STON and RAFF tokens.

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Alvinashcraft

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Dew Drop – February 28, 2025 (#4372)

The Dew Drop for February 28, 2025, features top links in technology including podcasts, software releases, and coding updates.
Notable mentions in the web and cloud development section cover topics like TypeScript, Azure Functions, and Dapr v1.15 release.
In WinUI, .NET MAUI, and XAML, Uno Platform updates its Todo Sample while Visual Studio 2022 v17.13 introduces AI-powered enhancements.
AI-related highlights include OpenAI's GPT-4.5 system card, Microsoft Copilot developments, and discussions on AI in gaming.
Design, methodology, and testing articles focus on mental health in IT, CI/CD best practices, and serverless computing.
Mobile development updates include Amazon CEO's hint at new Alexa hardware, the Raspberry Pi Official Magazine, and EA's release of old game source code.
Screencasts, podcasts, community events, and database management also find mentions in this technology roundup.
Miscellaneous news includes reports on Microsoft potentially discontinuing Skype, DOGE's impact, and Trump's tariffs taking effect.
Additional links collections provide quick access to Oracle Database news, Windows updates, and daily reading lists.

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Dev

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How a Disaster Will Improve Your Company: The story of losing 20% of contents at Gama

The article recounts how losing 10,000 vital files in 2019 ultimately benefited Gama, an educational content-sharing platform.
Initially launched in Iran in 2014, Gama expanded globally and introduced Gamatrain.com, focusing on internationally recognized education systems.
A flawed backup strategy using GlusterFS led to a catastrophic event, causing missing files and errors on their platform.
Despite attempts to recover files from an old backup HDD, changes to the directory structure rendered the backup useless.
The incident prompted Gama to overhaul their file storage approach, leading to the development of GFK (Gama File Keeper) for effective file management and retrieval.
To enhance their backup strategy, Gama introduced Backapp, a three-layer backup system with Warm, Cold, and Offline layers, along with regular database backups.
The backup system implements a six-month gradual deletion process across all layers to ensure file restoration before permanent deletion.
Backapp was built using Golang, Bash scripts, SQLite, Rsync Protocol, and Grafana XtraDB Backup to automate backup processes efficiently.
Implementing these improvements, though challenging, proved instrumental in safeguarding their new venture, Gamatrain.com, from potential disasters.
The article highlights the importance of robust backup strategies and the consequences of relying solely on one system, emphasizing the need for comprehensive data protection.

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Dev

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Farewell to Window Functions, Embrace esProc SPL

SQL's early iterations were not suitable for ordered computations due to practical difficulties.
Window functions improved ordered computations in SQL but still faced challenges due to its foundation on unordered sets.
esProc SPL offers a fundamental solution to cumbersome SQL window functions for database operations.
SPL code is more concise, easier to understand, write, and debug compared to SQL window functions.
SPL tables are ordered with position concepts, simplifying calculations like determining trading day count for stock exceeding $100.
SQL window functions require nested queries and complex syntax for tasks like calculating positions and adjacent differences.
SPL's pselect function simplifies position calculations and cross-row operations, enhancing efficiency.
SPL's ordered grouping and maximum calculation functions streamline tasks, outperforming SQL window function-based solutions.
SPL's simplicity shines in identifying stock price intervals and scenarios like consecutive price increases.
By leveraging SPL, SQL complexities related to window functions can be replaced with concise code, enabling efficient data processing.

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Dev

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Mesos vs Kubernetes: Key Differences in Container Orchestration

Mesos and Kubernetes are two prominent container orchestration platforms with distinct differences in architecture, resource management, and use cases.
Apache Mesos is a general-purpose cluster manager that can handle various workloads beyond containers, offering flexibility and scalability for hybrid environments.
Kubernetes is an open-source platform focused on automating deployment, scaling, and management of containerized applications, making it ideal for cloud-native environments.
Mesos abstracts an entire data center into a single pool of resources and relies on external frameworks like Marathon for container orchestration, while Kubernetes is container-native with built-in features for managing containers.
Mesos excels in resource management across a wide range of workloads, while Kubernetes provides native support for scheduling and managing Pods, the smallest deployable units.
Kubernetes offers a rich ecosystem and community support, making it the default choice for containerized applications, while Mesos has a smaller ecosystem and is more focused on general-purpose resource management.
Both platforms are highly scalable, with Mesos handling various workloads simultaneously and Kubernetes focusing specifically on containerized applications.
Mesos is best suited for hybrid environments managing a mix of workloads, while Kubernetes is tailored for modern containerized applications like microservices and cloud-native architectures.
Ultimately, the choice between Mesos and Kubernetes depends on the specific needs of the organization, with Mesos offering flexibility and scalability for diverse workloads, and Kubernetes excelling in container orchestration and management.
Understanding the unique requirements of the workload is crucial in selecting the most suitable platform, whether it be Mesos for hybrid environments or Kubernetes for container-centric environments.
Both Mesos and Kubernetes provide robust solutions for modern application management and scaling, catering to different organizational needs and priorities.

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Dev

182

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Getting Started with Terraform: Understanding Workspaces and Conditionals (Part 4) 🚀

Workspaces in Terraform are like different houses, completely separate from each other.
Conditionals in Terraform are like room settings, allowing you to enable/disable features and adjust settings.
Workspaces are useful when you need separate environments, want to test changes safely, or need different sized resources for different stages.
Conditionals are handy when you want to turn features on/off, make small adjustments, or enable/disable certain settings.

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Dev

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Navigating the Code Jungle: Strategies to Tame Complexity and Boost Productivity

Developers often face challenges such as code complexity, technical debt, communication gaps, and burnout.
Strategies to overcome these challenges include regular code refactoring, tackling technical debt, improving documentation and communication, leveraging automation and testing, and prioritizing work-life balance.
Practical tips for a smoother code journey include dividing tasks, effective use of version control, adopting agile practices, fostering a collaborative culture, and investing in learning.
Implementing these strategies can transform complexity into clarity, reduce technical debt, and create a more collaborative and productive work environment.

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Dev

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Coding Chaos to Clarity: Transforming Developer Workflows with Smart Project Management Tools

Developers often face challenges such as task overload, inefficient communication, and lack of visual progress in their workflows.
Smart project management tools streamline workflows, prioritize tasks, enhance collaboration, and integrate development tools, benefiting developers.
Teamcamp is a standout project management and collaboration platform designed to address developers' unique challenges with customizable workflows, real-time collaboration, and a user-friendly interface.
Practical tips for developers include prioritizing tasks, embracing collaboration tools, monitoring progress, and integrating seamlessly with existing tech stack.

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Dev

250

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Load Balancer 101: A Practical Guide in case your app goes viral overnight 🧿

Load balancers act as efficient traffic conductors in distributing incoming requests across multiple server instances to prevent server overload during traffic spikes.
They help applications survive sudden surges in traffic, maintain top-notch performance, stay resilient during server failures, and scale seamlessly by distributing the load evenly.
Load balancers use algorithms like Round Robin and Least Connections to evenly distribute traffic among servers, ensuring efficient load handling.
Building a basic load balancer setup involves installing Nginx, creating multiple identical application servers, and configuring Nginx to distribute traffic between them.
The setup involves creating server instances using Node.js, configuring Nginx for load balancing, and testing the load balancing functionality.
Containerizing the setup with Docker and Docker Compose allows for better scalability and management of the load-balanced application.
Taking the setup to the cloud using Kubernetes enables efficient orchestration of containerized applications at scale, with auto-scaling capabilities and efficient load distribution.
Advanced load balancing strategies like Weighted Load Balancing, Sticky Sessions, and Intelligent Health Checks offer more precise control over traffic distribution and server health monitoring.
Implementing load balancing not only improves application performance but also ensures resilience and scalability, making it a crucial component for applications of all sizes.
Being prepared with a robust load balancing infrastructure can help applications handle unexpected spikes in traffic and maintain responsiveness, ensuring a positive user experience.

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Dev

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🚢 Why "It Works on My Machine" Is No Longer an Excuse – The Power of Docker

Docker ensures consistent application performance across different systems.
Docker simplifies dependency management and distribution of software.
Docker enables more efficient resource utilization and cost savings.
Docker facilitates collaboration, onboarding, and scaling of applications.

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