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Maximize Your Coding Efficiency with These Sublime Text Plugins 🖥️

Boost Your Productivity with #Sublime Text Packages 🚀
Here are some useful Sublime Text packages and their functionalities:
AdvancedNewFile: A plugin for creating files quickly, with the ability to specify paths and file names.
AutoFileName: A helpful tool that automatically suggests file names when typing a path in a file, reducing the need to type out full paths manually.
ColorHelper: A package to help work with colors in your code. It provides a color preview and the ability to generate color codes and their variations.

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Jetbrains

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Deploying Go Apps with Kubernetes

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.
In this tutorial, we are going to create a Go application and prepare it to run inside a Kubernetes cluster.
Containers have been widely adopted by most industries, and one of the most popular containerization tools is Docker. However, as complexity grew, people started looking for orchestration tools that were effective at scale, performed load balancing, self-healed, and more. There were many contenders in the competition, like Apache Mesos, HashiCorp Nomad, and Docker Swarm, but Kubernetes has thrived for a long time due to its robust ecosystem, extensive community support, scalability, and ability to manage complex, distributed applications across multiple environments.
The process of deploying applications to servers has changed drastically over the years, from physically traveling to a data center, to deploying to VMs, and now to containers and orchestration tools like Kubernetes.
In this tutorial, the author explains how to write a Go application from scratch and deploy it to a local Kubernetes cluster. They cover creating a basic Go application, installing packages, building core business functions, setting up an HTTP server, creating HTTP handlers, creating a Dockerfile, writing Kubernetes manifests, and testing.
Apart from Go, the author also covers using other tools such as Gorilla Mux, GORM, and Docker Desktop to help deploy and manage the Kubernetes cluster.
The author also explains how to create a Dockerfile, a PersistentVolume (PV), a PersistentVolumeClaim (PVC), and a ConfigMap in Kubernetes to manage and orchestrate the deployment of apps.
Overall, this tutorial provides a detailed guide on deploying Go apps using Kubernetes, explaining each step carefully and providing additional resources for those interested in further exploration.
The article mentions how Kubernetes is one of the largest open-source projects to date, boasting more than 88,000 contributors.
The tutorial also covers how to deploy the app to a live cluster by redirecting users to an article by the author for deploying Go apps in Google Kubernetes Engine.

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Dev

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Comprehensive Guide to AWS Services and Their Applications

Amazon EC2 provides virtual machines in the cloud to host backend applications, run batch jobs, or host services requiring high control.
Amazon S3 provides scalable object storage to store static assets like images, videos, documents, and React frontend builds.
Amazon RDS simplifies database administration tasks like backups and patching, making it ideal for projects requiring structured data storage and ACID compliance.
Amazon DynamoDB is a fast and flexible NoSQL database intended for unstructured or semi-structured data and low-latency requirements.
Amazon VPC is a private, isolated network for your AWS resources that helps ensure secure communication and restrict unauthorized access in microservices architecture.
Amazon IAM controls access to AWS resources, granting users and applications specific permissions, and is critical for security and access control.
Amazon CloudFront distributes content globally with low latency and serves static assets like React builds and videos faster with HTTPS.
Amazon CloudWatch provides centralized monitoring for AWS services to track performance, set alarms, and debug issues as projects scale and observability becomes crucial.
AWS Lambda runs code without managing servers, making it ideal for event-driven applications like processing S3 uploads.
Amazon Redshift is ideal for running analytics on big data for your app that generates a lot of structured data requiring complex queries.

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Siliconangle

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Spectro Cloud nabs $75M for its Kubernetes management platform

Spectro Cloud has raised $75 million in a Series C funding round led by Goldman Sachs.
Spectro Cloud's platform, Palette, simplifies Kubernetes container management tasks.
Palette offers features such as setting up container clusters, detecting misconfigurations, and performing rolling updates.
The funding will be used to enhance edge computing capabilities and expand Spectro Cloud's partner network.

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Siliconangle

355

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Innovations in AI infrastructure and data storage: MinIO’s AIStor

MinIO introduces AIStor, a breakthrough in AI infrastructure and data storage.
AIStor simplifies data access and organization, making AI workflows more intuitive.
It addresses the complexities of managing large and diverse datasets in industries like pharmaceuticals and biotech.
By leveraging Kubernetes, AIStor enables repatriation of data storage from cloud-based services to on-premises infrastructure.

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Siliconangle

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Empowering developers with Podman AI Lab: Secure AI development and multicloud connectivity

Podman AI Lab is an open-source extension for Podman Desktop that enables developers to build, test, and run AI-powered applications in a local environment using containers.
The tool democratizes access to AI and allows developers of all levels to explore large language models and generative AI features without extensive AI expertise.
Red Hat Profile Analyzer helps improve the security posture of software by incorporating secure code analysis and enabling developers to understand an enterprise's risk profile.
Red Hat's Interconnect platform focuses on effective interconnectivity management in multicloud environments, allowing developers to connect diverse cloud platforms and manage authentication, authorization, and rate limiting.

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Dev

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CPU Profiling a Ruby Application in Kubernetes

This article provides a guide on obtaining CPU profiling traces from a running container in Kubernetes.
To enable CPU profiling, Pod security settings need to be updated to enable SYS_PTRACE.
The article explains how to use 'kubectl debug' command to add a container to the node or attach it to a target pod.
The article suggests using rbspy for CPU profiling and provides steps for recording and exporting profiling data.

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Amazon

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Expanded resource awareness in Amazon Q Developer

Amazon Q Developer has announced expanded support for account resource awareness with Amazon Q in the AWS Management Console.
This also includes the general availability of Amazon Q Developer in AWS Chatbot.
You can use natural language to list resources in your AWS account, get specific resource details and ask about related resources.
The expanded support allows you to ask complex questions about your AWS account resources.
Amazon Q now provides context-aware assistance for your questions about resources in your account depending on where you are in the console.
Users can now easily discover new details about specific resources with natural language queries that provide precise, contextual information.
The new updates represent a significant step forward in simplifying cloud resource management.
Amazon Q Developer in the AWS Management Console now provides context-aware assistance for your questions about resources in your account.
AWS Chatbot can now answer questions about AWS resources in Microsoft Teams and Slack.
These improvements make it faster and more user-friendly for development teams to maintain their AWS environments.

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The New Stack

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Mirantis Unveils Next-Generation Kubernetes Platform With MKE 4 Release

Mirantis has announced the upcoming release of Mirantis Kubernetes Engine (MKE) 4, shifting from Docker Swarm to k0s Kubernetes distribution.
MKE 4 offers an optimizable and composable architecture, integration of KubeVirt, automated drift correction and updates, and enhanced security compliance.
Upgrading to MKE 4 is streamlined for existing users, and the CLI and APIs remain unchanged.
MKE 4 will be available on Nov. 20, 2024, with options for 24/7 enterprise support and flexible deployment options.

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Dev

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Easily Share ComfyUI Online Using Pinggy

Easily Share ComfyUI Online Using Pinggy
ComfyUI is an AI tool for creating art locally, but sharing it with remote collaborators can be challenging.
Pinggy is a lightweight tunneling tool that simplifies sharing local ComfyUI setups over the internet.
By following a step-by-step guide, users can set up and run ComfyUI, then use Pinggy to expose the interface with a public URL for collaboration or showcasing.

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Dev

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Code Generated Architecture Diagram using Azure Devops

This article demonstrates how to create Azure Solutions Architecture Diagram by Code using Azure Devops.
The YAML Pipeline is tested on WINDOWS BUILD AGENT Only!!!
The article includes two examples on how to create diagrams using Python and Azure DevOps.
To create the diagrams, the article provides a Construct of the Python Code.
The article also provides the Construct of the Azure DevOps Pipeline to execute the Python Code and generate the Architecture Diagrams.
The Pipeline has 2 stages - Generate Diagrams by Code and Commit 2 Git.
The users only need to change the values of the variables in the 'Declare Variables' section of the Pipeline.
Successful Pipeline runs create the generated Solutions Architecture Diagram as Artifacts and commit them in Azure DevOps Repo.
This article is part of the 'Diagram As Code' Series and is aimed at Technology Advocates and Specialists.
Stay Safe | Keep Learning | Spread Knowledge

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Dev

373

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Create a Windows 11 VM that is highly available

Step 1: Search for and select Virtual Machine on Azure portal.
Step 2: Select Create + and click on Azure Virtual Machines.
Step 3: For Resource Group select Create New, Give your resource group a name and click on OK to save changes.
Step 4: Provide a Virtual Machine name. Ensure the name is unique and meets the naming requirements.

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Dev

215

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How to Secure Your Website: A Comprehensive Guide

Securing your website is a necessity as a single vulnerability can lead to data breaches and other threats which can cause financial losses and damage to your reputation.
This guide provides practical and actionable steps to secure your website, safeguarding it from potential cyber-attacks.
Cyber threats such as malware, DDoS attacks, SQL Injection, phishing, weak passwords, and XSS are the main types you should watch for.
Some actionable steps include adding HTTPS, using strong passwords, backing up your website regularly and limiting user access.
If you have an e-commerce website, you should also ensure your website meets the Payment Card Industry Data Security Standards.
Regular software updates and scans are non-negotiable for all types of websites because small websites are also targets
Disconnecting immediately, scanning for malware, and restoring from backups are important steps if your website is hacked.
Overall, cybersecurity is a continuous process that requires regular updates and monitoring.
Make sure to implement necessary security measures and tools for your website and prioritize your website’s safety.
Your website's security starts today. Begin by securing your website with HTTPS, updating its software, and backing up the website regularly.

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Dev

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Kubernetes Part 2: A Guide to Application Deployment, Autoscaling, and Rollout Strategies

This article guides you on how to upload a docker image to AWS and deploy it to an EKS Cluster.
The article describes scaling your application based on traffic and different deployment strategies.
You can create a Docker image of a web app and upload it to an AWS ECR.
The article explains different Kubernetes Deployment Strategies like Rolling Update, Recreate, Canary Deployment, and Blue-green Deployment.
You can create an EKS cluster, download the K8s configuration, and create a node group.
The article also covers Horizontal Pod Auto Scaler (HPA), a K8s feature that helps adjust the pod replicas based on metrics like CPU usage.
Metric Server is a lightweight K8s add-on that provides resource usage metrics.
The article provides the Deployment.yaml and the Service.yaml files for deploying and creating the service load balancer.
You can use J-meter to create multiple requests in order to increase CPU utilization and test autoscaling.
The article helps you understand how to manage scaling up/down of pod replicas to manage incoming traffic.

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Dev

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Implementing Continuous Deployment with Docker and Kubernetes

Continuous Deployment (CD) is an essential part of modern software development, enabling teams to release code quickly and frequently.
Docker and Kubernetes are the perfect pair for implementing a Continuous Deployment pipeline.
Docker allows you to package your application into containers that can run consistently across different environments.
Kubernetes orchestrates the deployment and scaling of these containers, making it easier to manage complex applications.
To make your Docker image available for deployment, push it to a container registry.
Kubernetes is a powerful platform for managing containerized applications.
GitHub Actions allows you to automate workflows directly from your GitHub repository.
Apidog is a powerful API testing tool that integrates seamlessly into the CI/CD pipeline.
In this article, we’ve explored how to implement a Continuous Deployment pipeline using Docker for containerization and Kubernetes for orchestration.
Continuous Deployment with Docker, Kubernetes, and automated testing tools like Apidog allows you to streamline your workflow, reduce manual errors, and ensure a high-quality, stable production environment.

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