#Docker Container Management

[virtualizationhowto]

Docker Development Environment: Test your Containers with Docker Desktop

Docker Development Environment: Test your Containers with Docker Desktop #homelab #docker #DockerDesktopDevelopment #SelfHostedContainerTesting #DockerDevEnvironment #ConfigurableDevelopmentEnvironment #DockerContainerManagement #DockerDesktopGUI

One of the benefits of a Docker container is it allows you to have quick and easy test/dev environments on your local machine that are easy to set up. Let’s see how we can set up a Docker development environment with Docker Desktop. Table of contentsQuick overview of Docker Development EnvironmentSetting Up Your Docker Development Environment with Docker Desktop1. Install Docker Desktop2. Create…

[hackeocafe]

How to Use Container Manager (Docker) on a Synology NAS - Beginners Guide

This step-by-step guide will show you how to install Container Manager on a Synology NAS and implement your own Docker containers! Container Manager is the "new" Docker application in versions of DSM newer than 7.2. While Container Manager is very similar to the old version of Docker, it has some awesome new features like Docker Compose. Learn everything about Container Manager in this full setup guide!

[techdirectarchive]

Kill Containers and remove unused images from Docker Correctly

In this article, we shall discuss how to destroy, that is “Kill Containers and remove unused images from Docker Correctly”. We will be doing this over Portainer and Container Manager. Containers and images that are no longer in use can create clutter, making it harder to manage Docker environments. By removing them, you can streamline the system, keeping only essential resources running. Please…

[mutter-official]

considering using nixos for my homelab when I redo my infra this summer

rn everything is bare-metal Arch with some Docker containers on top. I wanna get rid of the Docker containers because I don't like how opaque they make my dependencies, so I'm planning on moving everything over to proxmox VMs to maintain separation of concerns while still keeping easy direct access to the shell and configuration and deps and all that

however. doing so either requires me to manually manage all of the upgrades and configuration and everything for the software running inside those VMs, or to use some kind of automation tool to handle deployment, updates, management, etc.

I could use Ansible, but Ansible has some problems (like removing a package from your playbook doesn't always remove it from your system)... and nix is really starting to look appealing

someone please talk me out of this. I'm a rust programmer, so I have some idea how functional stuff works, but writing nix code still kind of sounds like pain and suffering, and I'm really looking for a better solution... but right now nix is looking really good

[rootresident]

Self Hosting

I haven't posted here in quite a while, but the last year+ for me has been a journey of learning a lot of new things. This is a kind of 'state-of-things' post about what I've been up to for the last year.

I put together a small home lab with 3 HP EliteDesk SFF PCs, an old gaming desktop running an i7-6700k, and my new gaming desktop running an i7-11700k and an RTX-3080 Ti.

"Using your gaming desktop as a server?" Yep, sure am! It's running Unraid with ~7TB of storage, and I'm passing the GPU through to a Windows VM for gaming. I use Sunshine/Moonlight to stream from the VM to my laptop in order to play games, though I've definitely been playing games a lot less...

On to the good stuff: I have 3 Proxmox nodes in a cluster, running the majority of my services. Jellyfin, Audiobookshelf, Calibre Web Automated, etc. are all running on Unraid to have direct access to the media library on the array. All told there's 23 docker containers running on Unraid, most of which are media management and streaming services. Across my lab, I have a whopping 57 containers running. Some of them are for things like monitoring which I wouldn't really count, but hey I'm not going to bother taking an effort to count properly.

The Proxmox nodes each have a VM for docker which I'm managing with Portainer, though that may change at some point as Komodo has caught my eye as a potential replacement.

All the VMs and LXC containers on Proxmox get backed up daily and stored on the array, and physical hosts are backed up with Kopia and also stored on the array. I haven't quite figured out backups for the main storage array yet (redundancy != backups), because cloud solutions are kind of expensive.

You might be wondering what I'm doing with all this, and the answer is not a whole lot. I make some things available for my private discord server to take advantage of, the main thing being game servers for Minecraft, Valheim, and a few others. For all that stuff I have to try and do things mostly the right way, so I have users managed in Authentik and all my other stuff connects to that. I've also written some small things here and there to automate tasks around the lab, like SSL certs which I might make a separate post on, and custom dashboard to view and start the various game servers I host. Otherwise it's really just a few things here and there to make my life a bit nicer, like RSSHub to collect all my favorite art accounts in one place (fuck you Instagram, piece of shit).

It's hard to go into detail on a whim like this so I may break it down better in the future, but assuming I keep posting here everything will probably be related to my lab. As it's grown it's definitely forced me to be more organized, and I promise I'm thinking about considering maybe working on documentation for everything. Bookstack is nice for that, I'm just lazy. One day I might even make a network map...

[govindhtech]

Open Platform For Enterprise AI Avatar Chatbot Creation

How may an AI avatar chatbot be created using the Open Platform For Enterprise AI framework?

I. Flow Diagram

The graph displays the application’s overall flow. The Open Platform For Enterprise AI GenAIExamples repository’s “Avatar Chatbot” serves as the code sample. The “AvatarChatbot” megaservice, the application’s central component, is highlighted in the flowchart diagram. Four distinct microservices Automatic Speech Recognition (ASR), Large Language Model (LLM), Text-to-Speech (TTS), and Animation are coordinated by the megaservice and linked into a Directed Acyclic Graph (DAG).

Every microservice manages a specific avatar chatbot function. For instance:

Software for voice recognition that translates spoken words into text is called Automatic Speech Recognition (ASR).

By comprehending the user’s query, the Large Language Model (LLM) analyzes the transcribed text from ASR and produces the relevant text response.

The text response produced by the LLM is converted into audible speech by a text-to-speech (TTS) service.

The animation service makes sure that the lip movements of the avatar figure correspond with the synchronized speech by combining the audio response from TTS with the user-defined AI avatar picture or video. After then, a video of the avatar conversing with the user is produced.

An audio question and a visual input of an image or video are among the user inputs. A face-animated avatar video is the result. By hearing the audible response and observing the chatbot’s natural speech, users will be able to receive input from the avatar chatbot that is nearly real-time.

Create the “Animation” microservice in the GenAIComps repository

We would need to register a new microservice, such “Animation,” under comps/animation in order to add it:

Register the microservice

@register_microservice( name=”opea_service@animation”, service_type=ServiceType.ANIMATION, endpoint=”/v1/animation”, host=”0.0.0.0″, port=9066, input_datatype=Base64ByteStrDoc, output_datatype=VideoPath, ) @register_statistics(names=[“opea_service@animation”])

It specify the callback function that will be used when this microservice is run following the registration procedure. The “animate” function, which accepts a “Base64ByteStrDoc” object as input audio and creates a “VideoPath” object with the path to the generated avatar video, will be used in the “Animation” case. It send an API request to the “wav2lip” FastAPI’s endpoint from “animation.py” and retrieve the response in JSON format.

Remember to import it in comps/init.py and add the “Base64ByteStrDoc” and “VideoPath” classes in comps/cores/proto/docarray.py!

This link contains the code for the “wav2lip” server API. Incoming audio Base64Str and user-specified avatar picture or video are processed by the post function of this FastAPI, which then outputs an animated video and returns its path.

The functional block for its microservice is created with the aid of the aforementioned procedures. It must create a Dockerfile for the “wav2lip” server API and another for “Animation” to enable the user to launch the “Animation” microservice and build the required dependencies. For instance, the Dockerfile.intel_hpu begins with the PyTorch* installer Docker image for Intel Gaudi and concludes with the execution of a bash script called “entrypoint.”

Create the “AvatarChatbot” Megaservice in GenAIExamples

The megaservice class AvatarChatbotService will be defined initially in the Python file “AvatarChatbot/docker/avatarchatbot.py.” Add “asr,” “llm,” “tts,” and “animation” microservices as nodes in a Directed Acyclic Graph (DAG) using the megaservice orchestrator’s “add” function in the “add_remote_service” function. Then, use the flow_to function to join the edges.

Specify megaservice’s gateway

An interface through which users can access the Megaservice is called a gateway. The Python file GenAIComps/comps/cores/mega/gateway.py contains the definition of the AvatarChatbotGateway class. The host, port, endpoint, input and output datatypes, and megaservice orchestrator are all contained in the AvatarChatbotGateway. Additionally, it provides a handle_request function that plans to send the first microservice the initial input together with parameters and gathers the response from the last microservice.

In order for users to quickly build the AvatarChatbot backend Docker image and launch the “AvatarChatbot” examples, we must lastly create a Dockerfile. Scripts to install required GenAI dependencies and components are included in the Dockerfile.

II. Face Animation Models and Lip Synchronization

GFPGAN + Wav2Lip

A state-of-the-art lip-synchronization method that uses deep learning to precisely match audio and video is Wav2Lip. Included in Wav2Lip are:

A skilled lip-sync discriminator that has been trained and can accurately identify sync in actual videos

A modified LipGAN model to produce a frame-by-frame talking face video

An expert lip-sync discriminator is trained using the LRS2 dataset as part of the pretraining phase. To determine the likelihood that the input video-audio pair is in sync, the lip-sync expert is pre-trained.

A LipGAN-like architecture is employed during Wav2Lip training. A face decoder, a visual encoder, and a speech encoder are all included in the generator. Convolutional layer stacks make up all three. Convolutional blocks also serve as the discriminator. The modified LipGAN is taught similarly to previous GANs: the discriminator is trained to discriminate between frames produced by the generator and the ground-truth frames, and the generator is trained to minimize the adversarial loss depending on the discriminator’s score. In total, a weighted sum of the following loss components is minimized in order to train the generator:

A loss of L1 reconstruction between the ground-truth and produced frames

A breach of synchronization between the lip-sync expert’s input audio and the output video frames

Depending on the discriminator score, an adversarial loss between the generated and ground-truth frames

After inference, it provide the audio speech from the previous TTS block and the video frames with the avatar figure to the Wav2Lip model. The avatar speaks the speech in a lip-synced video that is produced by the trained Wav2Lip model.

Lip synchronization is present in the Wav2Lip-generated movie, although the resolution around the mouth region is reduced. To enhance the face quality in the produced video frames, it might optionally add a GFPGAN model after Wav2Lip. The GFPGAN model uses face restoration to predict a high-quality image from an input facial image that has unknown deterioration. A pretrained face GAN (like Style-GAN2) is used as a prior in this U-Net degradation removal module. A more vibrant and lifelike avatar representation results from prettraining the GFPGAN model to recover high-quality facial information in its output frames.

SadTalker

It provides another cutting-edge model option for facial animation in addition to Wav2Lip. The 3D motion coefficients (head, stance, and expression) of a 3D Morphable Model (3DMM) are produced from audio by SadTalker, a stylized audio-driven talking-head video creation tool. The input image is then sent through a 3D-aware face renderer using these coefficients, which are mapped to 3D key points. A lifelike talking head video is the result.

Intel made it possible to use the Wav2Lip model on Intel Gaudi Al accelerators and the SadTalker and Wav2Lip models on Intel Xeon Scalable processors.

Read more on Govindhtech.com

[andmaybegayer]

Last Monday of the Week 2024-12-16

Entering the Holiday Vortex any day now

Listening: The soundtrack to Cats: The Musical because I have never stopped being a musicals nerd. Prompted me multiple times to check if they got rid of a fun part from a song in the 2019 movie and they always did! Got rid of Deuteronomy's 99 wives, entirely dropped The Moments of Happiness, and in order to resolve that, here's The Moments of Happiness.

One of those bizzare meandering songs.

Watching: Watched Get Out because I figure I should get the Peeleverse going.

It's good! It does a great job of making you deny the very obvious fact that the girlfriend is extremely in on it the whole time until you can't anymore and it's like, yes, of course, she is not somehow being manipulated or brainwashed she's just as into this as the rest of them, it's very smooth.

Love how every single person talks like an evil vizier.

Reading: Started The Parable of the Sower. Look there's not much to say that hasn't already been said, Butler is a good author, I only just started but it's interesting to read this like, half imagined half lived reference to what it feels like to be surrounded by abject poverty. It's bad! It's not a fun experience, and I think this is a really good coverage of how it feels to be in this environment and how it affects the way you think about people.

It stands out to me that one of the big themes being set up here is the protective and isolating force of walls, which. If you are ever in South Africa you will notice immediately the shockingly large number of walls. Every single house has walls, and the richer an area is the higher the walls are, in Soweto every little house has a meter and a half high brick wall, my suburbs had two meter walls, Sandton has three meter walls, topped over with electric fences. This is probably not an experience you have had. Going to other places and finding that they just. don't have walls. It's very strange.

Still getting going! Going to be interesting!

Playing: More! Cyberpunk. The city design is crazy, it's so heavily layered in many places. They do funnel you into a few more heavily designed zones so you don't notice the emptier areas as much but the designed areas are SO huge. Layer upon layer of detail and flash and colour. It makes Skyrim and GTA V look like sandpits.

Hit level 20 netrunning the other day and it's extremely fun to hit people with the ten thousand beam attack the second they pop their head up. You really have to lean on your abilities and cyberware if you want to survive which is nice, very much aligned with the game. I am pleased to notice that the DLC includes a copy of the CP2020 rules which I have been rereading. Friday Night Firefight is such a good read.

Making: 3D printed skull! RobotOS stuff! Lots of middleware stuff that doesn't lead to much.

Tools and Equipment: I keep saying I'm gonna talk about Distrobox. Let's talk about Distrobox.

Distrobox is a container management tool that goes basically the opposite way to every other container system, and aims to tightly integrate the containers it runs with your desktop system. Containers run in distrobox inherit your home directory, access to most peripherals and hardware, tie in to your display manager, and as much as possible try to act like they're meant to be part of your base system.

It can use podman, docker, or the bizzare ultra-lightweight userspace-only container manager lillipod to host containers, which means that in that last case you can run it on any system even if you don't have root, I've done this on my work dev server at $oldjob before we got Podman on there.

This means that, for instance, you can directly access your files from the container without having to mess with complex shared mounts or copying files back and forth, and it allows GUI applications launched within a distrobox to just appear on your desktop as though they were native.

This allows you to mix and match packages and features from a variety of different systems very easily, and is particularly handy for developing for multiple distributions or using tools that only really ship for one distro. At work I had to run mksusecd to build some install images and rather than deal with trying to set up mksusecd on Ubuntu, I just dropped into a SUSE Tumbleweed distrobox and got to work. Worked great!

I've also used it to sandbox messy development environments and I'm currently using it to host a robotOS learning playground on my desktop without having to look after an run a whole VM or anything. It means that the install of neovim and zsh and whatever in the Ubuntu container directly inherit my standard config files and even have access to the same plugin ecosystem as on my base system!

You can heavily customise your distroboxes, allocating them separate homedirs if necessary, exporting apps from inside a distrobox to the host system so you can seamlessly run them as though they're installed on the host, and more weird designs. Really handy tool!

Here's some reading if you're interested

Containers are really cool.

[seogoogle1]

Windows Server 2016: Revolutionizing Enterprise Computing

In the ever-evolving landscape of enterprise computing, Windows Server 2016 emerges as a beacon of innovation and efficiency, heralding a new era of productivity and scalability for businesses worldwide. Released by Microsoft in September 2016, Windows Server 2016 represents a significant leap forward in terms of security, performance, and versatility, empowering organizations to embrace the challenges of the digital age with confidence. In this in-depth exploration, we delve into the transformative capabilities of Windows Server 2016 and its profound impact on the fabric of enterprise IT.

Introduction to Windows Server 2016

Windows Server 2016 stands as the cornerstone of Microsoft's server operating systems, offering a comprehensive suite of features and functionalities tailored to meet the diverse needs of modern businesses. From enhanced security measures to advanced virtualization capabilities, Windows Server 2016 is designed to provide organizations with the tools they need to thrive in today's dynamic business environment.

Key Features of Windows Server 2016

Enhanced Security: Security is paramount in Windows Server 2016, with features such as Credential Guard, Device Guard, and Just Enough Administration (JEA) providing robust protection against cyber threats. Shielded Virtual Machines (VMs) further bolster security by encrypting VMs to prevent unauthorized access.

Software-Defined Storage: Windows Server 2016 introduces Storage Spaces Direct, a revolutionary software-defined storage solution that enables organizations to create highly available and scalable storage pools using commodity hardware. With Storage Spaces Direct, businesses can achieve greater flexibility and efficiency in managing their storage infrastructure.

Improved Hyper-V: Hyper-V in Windows Server 2016 undergoes significant enhancements, including support for nested virtualization, Shielded VMs, and rolling upgrades. These features enable organizations to optimize resource utilization, improve scalability, and enhance security in virtualized environments.

Nano Server: Nano Server represents a lightweight and minimalistic installation option in Windows Server 2016, designed for cloud-native and containerized workloads. With reduced footprint and overhead, Nano Server enables organizations to achieve greater agility and efficiency in deploying modern applications.

Container Support: Windows Server 2016 embraces the trend of containerization with native support for Docker and Windows containers. By enabling organizations to build, deploy, and manage containerized applications seamlessly, Windows Server 2016 empowers developers to innovate faster and IT operations teams to achieve greater flexibility and scalability.

Benefits of Windows Server 2016

Windows Server 2016 offers a myriad of benefits that position it as the platform of choice for modern enterprise computing:

Enhanced Security: With advanced security features like Credential Guard and Shielded VMs, Windows Server 2016 helps organizations protect their data and infrastructure from a wide range of cyber threats, ensuring peace of mind and regulatory compliance.

Improved Performance: Windows Server 2016 delivers enhanced performance and scalability, enabling organizations to handle the demands of modern workloads with ease and efficiency.

Flexibility and Agility: With support for Nano Server and containers, Windows Server 2016 provides organizations with unparalleled flexibility and agility in deploying and managing their IT infrastructure, facilitating rapid innovation and adaptation to changing business needs.

Cost Savings: By leveraging features such as Storage Spaces Direct and Hyper-V, organizations can achieve significant cost savings through improved resource utilization, reduced hardware requirements, and streamlined management.

Future-Proofing: Windows Server 2016 is designed to support emerging technologies and trends, ensuring that organizations can stay ahead of the curve and adapt to new challenges and opportunities in the digital landscape.

Conclusion: Embracing the Future with Windows Server 2016

In conclusion, Windows Server 2016 stands as a testament to Microsoft's commitment to innovation and excellence in enterprise computing. With its advanced security, enhanced performance, and unparalleled flexibility, Windows Server 2016 empowers organizations to unlock new levels of efficiency, productivity, and resilience. Whether deployed on-premises, in the cloud, or in hybrid environments, Windows Server 2016 serves as the foundation for digital transformation, enabling organizations to embrace the future with confidence and achieve their full potential in the ever-evolving world of enterprise IT.

Website: https://microsoftlicense.com

[annajade456]

Navigating the DevOps Landscape: Opportunities and Roles

DevOps has become a game-changer in the quick-moving world of technology. This dynamic process, whose name is a combination of "Development" and "Operations," is revolutionising the way software is created, tested, and deployed. DevOps is a cultural shift that encourages cooperation, automation, and integration between development and IT operations teams, not merely a set of practises. The outcome? greater software delivery speed, dependability, and effectiveness.

In this comprehensive guide, we'll delve into the essence of DevOps, explore the key technologies that underpin its success, and uncover the vast array of job opportunities it offers. Whether you're an aspiring IT professional looking to enter the world of DevOps or an experienced practitioner seeking to enhance your skills, this blog will serve as your roadmap to mastering DevOps. So, let's embark on this enlightening journey into the realm of DevOps.

Key Technologies for DevOps:

Version Control Systems: DevOps teams rely heavily on robust version control systems such as Git and SVN. These systems are instrumental in managing and tracking changes in code and configurations, promoting collaboration and ensuring the integrity of the software development process.

Continuous Integration/Continuous Deployment (CI/CD): The heart of DevOps, CI/CD tools like Jenkins, Travis CI, and CircleCI drive the automation of critical processes. They orchestrate the building, testing, and deployment of code changes, enabling rapid, reliable, and consistent software releases.

Configuration Management: Tools like Ansible, Puppet, and Chef are the architects of automation in the DevOps landscape. They facilitate the automated provisioning and management of infrastructure and application configurations, ensuring consistency and efficiency.

Containerization: Docker and Kubernetes, the cornerstones of containerization, are pivotal in the DevOps toolkit. They empower the creation, deployment, and management of containers that encapsulate applications and their dependencies, simplifying deployment and scaling.

Orchestration: Docker Swarm and Amazon ECS take center stage in orchestrating and managing containerized applications at scale. They provide the control and coordination required to maintain the efficiency and reliability of containerized systems.

Monitoring and Logging: The observability of applications and systems is essential in the DevOps workflow. Monitoring and logging tools like the ELK Stack (Elasticsearch, Logstash, Kibana) and Prometheus are the eyes and ears of DevOps professionals, tracking performance, identifying issues, and optimizing system behavior.

Cloud Computing Platforms: AWS, Azure, and Google Cloud are the foundational pillars of cloud infrastructure in DevOps. They offer the infrastructure and services essential for creating and scaling cloud-based applications, facilitating the agility and flexibility required in modern software development.

Scripting and Coding: Proficiency in scripting languages such as Shell, Python, Ruby, and coding skills are invaluable assets for DevOps professionals. They empower the creation of automation scripts and tools, enabling customization and extensibility in the DevOps pipeline.

Collaboration and Communication Tools: Collaboration tools like Slack and Microsoft Teams enhance the communication and coordination among DevOps team members. They foster efficient collaboration and facilitate the exchange of ideas and information.

Infrastructure as Code (IaC): The concept of Infrastructure as Code, represented by tools like Terraform and AWS CloudFormation, is a pivotal practice in DevOps. It allows the definition and management of infrastructure using code, ensuring consistency and reproducibility, and enabling the rapid provisioning of resources.

Job Opportunities in DevOps:

DevOps Engineer: DevOps engineers are the architects of continuous integration and continuous deployment (CI/CD) pipelines. They meticulously design and maintain these pipelines to automate the deployment process, ensuring the rapid, reliable, and consistent release of software. Their responsibilities extend to optimizing the system's reliability, making them the backbone of seamless software delivery.

Release Manager: Release managers play a pivotal role in orchestrating the software release process. They carefully plan and schedule software releases, coordinating activities between development and IT teams. Their keen oversight ensures the smooth transition of software from development to production, enabling timely and successful releases.

Automation Architect: Automation architects are the visionaries behind the design and development of automation frameworks. These frameworks streamline deployment and monitoring processes, leveraging automation to enhance efficiency and reliability. They are the engineers of innovation, transforming manual tasks into automated wonders.

Cloud Engineer: Cloud engineers are the custodians of cloud infrastructure. They adeptly manage cloud resources, optimizing their performance and ensuring scalability. Their expertise lies in harnessing the power of cloud platforms like AWS, Azure, or Google Cloud to provide robust, flexible, and cost-effective solutions.

Site Reliability Engineer (SRE): SREs are the sentinels of system reliability. They focus on maintaining the system's resilience through efficient practices, continuous monitoring, and rapid incident response. Their vigilance ensures that applications and systems remain stable and performant, even in the face of challenges.

Security Engineer: Security engineers are the guardians of the DevOps pipeline. They integrate security measures seamlessly into the software development process, safeguarding it from potential threats and vulnerabilities. Their role is crucial in an era where security is paramount, ensuring that DevOps practices are fortified against breaches.

As DevOps continues to redefine the landscape of software development and deployment, gaining expertise in its core principles and technologies is a strategic career move. ACTE Technologies offers comprehensive DevOps training programs, led by industry experts who provide invaluable insights, real-world examples, and hands-on guidance. ACTE Technologies's DevOps training covers a wide range of essential concepts, practical exercises, and real-world applications. With a strong focus on certification preparation, ACTE Technologies ensures that you're well-prepared to excel in the world of DevOps. With their guidance, you can gain mastery over DevOps practices, enhance your skill set, and propel your career to new heights. 

[java-full-stack-izeon]

java full stack

A Java Full Stack Developer is proficient in both front-end and back-end development, using Java for server-side (backend) programming. Here's a comprehensive guide to becoming a Java Full Stack Developer:

1. Core Java

Fundamentals: Object-Oriented Programming, Data Types, Variables, Arrays, Operators, Control Statements.

Advanced Topics: Exception Handling, Collections Framework, Streams, Lambda Expressions, Multithreading.

2. Front-End Development

HTML: Structure of web pages, Semantic HTML.

CSS: Styling, Flexbox, Grid, Responsive Design.

JavaScript: ES6+, DOM Manipulation, Fetch API, Event Handling.

Frameworks/Libraries:

React: Components, State, Props, Hooks, Context API, Router.

Angular: Modules, Components, Services, Directives, Dependency Injection.

Vue.js: Directives, Components, Vue Router, Vuex for state management.

3. Back-End Development

Java Frameworks:

Spring: Core, Boot, MVC, Data JPA, Security, Rest.

Hibernate: ORM (Object-Relational Mapping) framework.

Building REST APIs: Using Spring Boot to build scalable and maintainable REST APIs.

4. Database Management

SQL Databases: MySQL, PostgreSQL (CRUD operations, Joins, Indexing).

NoSQL Databases: MongoDB (CRUD operations, Aggregation).

5. Version Control/Git

Basic Git commands: clone, pull, push, commit, branch, merge.

Platforms: GitHub, GitLab, Bitbucket.

6. Build Tools

Maven: Dependency management, Project building.

Gradle: Advanced build tool with Groovy-based DSL.

7. Testing

Unit Testing: JUnit, Mockito.

Integration Testing: Using Spring Test.

8. DevOps (Optional but beneficial)

Containerization: Docker (Creating, managing containers).

CI/CD: Jenkins, GitHub Actions.

Cloud Services: AWS, Azure (Basics of deployment).

9. Soft Skills

Problem-Solving: Algorithms and Data Structures.

Communication: Working in teams, Agile/Scrum methodologies.

Project Management: Basic understanding of managing projects and tasks.

Learning Path

Start with Core Java: Master the basics before moving to advanced concepts.

Learn Front-End Basics: HTML, CSS, JavaScript.

Move to Frameworks: Choose one front-end framework (React/Angular/Vue.js).

Back-End Development: Dive into Spring and Hibernate.

Database Knowledge: Learn both SQL and NoSQL databases.

Version Control: Get comfortable with Git.

Testing and DevOps: Understand the basics of testing and deployment.

Resources

Books:

Effective Java by Joshua Bloch.

Java: The Complete Reference by Herbert Schildt.

Head First Java by Kathy Sierra & Bert Bates.

Online Courses:

Coursera, Udemy, Pluralsight (Java, Spring, React/Angular/Vue.js).

FreeCodeCamp, Codecademy (HTML, CSS, JavaScript).

Documentation:

Official documentation for Java, Spring, React, Angular, and Vue.js.

Community and Practice

GitHub: Explore open-source projects.

Stack Overflow: Participate in discussions and problem-solving.

Coding Challenges: LeetCode, HackerRank, CodeWars for practice.

By mastering these areas, you'll be well-equipped to handle the diverse responsibilities of a Java Full Stack Developer.

visit https://www.izeoninnovative.com/izeon/

[virtualizationhowto]

Hashicorp Vault Docker Install Steps: Kubernetes Not Required!

Hashicorp Vault #Docker Install Steps: #Kubernetes Not Required! #devops

If you are doing much DevOps and working with terraform code, Ansible, or other IaC, having a secure place to store secrets so your code doesn’t have those secrets hard coded is a great way to make sure secrets and passwords are not stored in plain text. If you are looking to spin up Hashicorp Vault in an easy way, spinning it up in Docker is a great way to get up and running quickly. Let’s look…

[hackeocafe]

Install Home Assistant on a Synology NAS using Docker Compose (Container Manager)

[qcs01]

Unleashing Efficiency: Containerization with Docker

Introduction: In the fast-paced world of modern IT, agility and efficiency reign supreme. Enter Docker - a revolutionary tool that has transformed the way applications are developed, deployed, and managed. Containerization with Docker has become a cornerstone of contemporary software development, offering unparalleled flexibility, scalability, and portability. In this blog, we'll explore the fundamentals of Docker containerization, its benefits, and practical insights into leveraging Docker for streamlining your development workflow.

Understanding Docker Containerization: At its core, Docker is an open-source platform that enables developers to package applications and their dependencies into lightweight, self-contained units known as containers. Unlike traditional virtualization, where each application runs on its own guest operating system, Docker containers share the host operating system's kernel, resulting in significant resource savings and improved performance.

Key Benefits of Docker Containerization:

Portability: Docker containers encapsulate the application code, runtime, libraries, and dependencies, making them portable across different environments, from development to production.

Isolation: Containers provide a high degree of isolation, ensuring that applications run independently of each other without interference, thus enhancing security and stability.

Scalability: Docker's architecture facilitates effortless scaling by allowing applications to be deployed and replicated across multiple containers, enabling seamless horizontal scaling as demand fluctuates.

Consistency: With Docker, developers can create standardized environments using Dockerfiles and Docker Compose, ensuring consistency between development, testing, and production environments.

Speed: Docker accelerates the development lifecycle by reducing the time spent on setting up development environments, debugging compatibility issues, and deploying applications.

Getting Started with Docker: To embark on your Docker journey, begin by installing Docker Desktop or Docker Engine on your development machine. Docker Desktop provides a user-friendly interface for managing containers, while Docker Engine offers a command-line interface for advanced users.

Once Docker is installed, you can start building and running containers using Docker's command-line interface (CLI). The basic workflow involves:

Writing a Dockerfile: A text file that contains instructions for building a Docker image, specifying the base image, dependencies, environment variables, and commands to run.

Building Docker Images: Use the docker build command to build a Docker image from the Dockerfile.

Running Containers: Utilize the docker run command to create and run containers based on the Docker images.

Managing Containers: Docker provides a range of commands for managing containers, including starting, stopping, restarting, and removing containers.

Best Practices for Docker Containerization: To maximize the benefits of Docker containerization, consider the following best practices:

Keep Containers Lightweight: Minimize the size of Docker images by removing unnecessary dependencies and optimizing Dockerfiles.

Use Multi-Stage Builds: Employ multi-stage builds to reduce the size of Docker images and improve build times.

Utilize Docker Compose: Docker Compose simplifies the management of multi-container applications by defining them in a single YAML file.

Implement Health Checks: Define health checks in Dockerfiles to ensure that containers are functioning correctly and automatically restart them if they fail.

Secure Containers: Follow security best practices, such as running containers with non-root users, limiting container privileges, and regularly updating base images to patch vulnerabilities.

Conclusion: Docker containerization has revolutionized the way applications are developed, deployed, and managed, offering unparalleled agility, efficiency, and scalability. By embracing Docker, developers can streamline their development workflow, accelerate the deployment process, and improve the consistency and reliability of their applications. Whether you're a seasoned developer or just getting started, Docker opens up a world of possibilities, empowering you to build and deploy applications with ease in today's fast-paced digital landscape.

For more details visit www.qcsdclabs.com

[signiance]

Journey to Devops

The concept of “DevOps” has been gaining traction in the IT sector for a couple of years. It involves promoting teamwork and interaction, between software developers and IT operations groups to enhance the speed and reliability of software delivery. This strategy has become widely accepted as companies strive to provide software to meet customer needs and maintain an edge, in the industry. In this article we will explore the elements of becoming a DevOps Engineer.

Step 1: Get familiar with the basics of Software Development and IT Operations:

In order to pursue a career as a DevOps Engineer it is crucial to possess a grasp of software development and IT operations. Familiarity with programming languages like Python, Java, Ruby or PHP is essential. Additionally, having knowledge about operating systems, databases and networking is vital.

Step 2: Learn the principles of DevOps:

It is crucial to comprehend and apply the principles of DevOps. Automation, continuous integration, continuous deployment and continuous monitoring are aspects that need to be understood and implemented. It is vital to learn how these principles function and how to carry them out efficiently.

Step 3: Familiarize yourself with the DevOps toolchain:

Git: Git, a distributed version control system is extensively utilized by DevOps teams, for code repository management. It aids in monitoring code alterations facilitating collaboration, among team members and preserving a record of modifications made to the codebase.

Ansible: Ansible is an open source tool used for managing configurations deploying applications and automating tasks. It simplifies infrastructure management. Saves time when performing tasks.

Docker: Docker, on the other hand is a platform for containerization that allows DevOps engineers to bundle applications and dependencies into containers. This ensures consistency and compatibility across environments from development, to production.

Kubernetes: Kubernetes is an open-source container orchestration platform that helps manage and scale containers. It helps automate the deployment, scaling, and management of applications and micro-services.

Jenkins: Jenkins is an open-source automation server that helps automate the process of building, testing, and deploying software. It helps to automate repetitive tasks and improve the speed and efficiency of the software delivery process.

Nagios: Nagios is an open-source monitoring tool that helps us monitor the health and performance of our IT infrastructure. It also helps us to identify and resolve issues in real-time and ensure the high availability and reliability of IT systems as well.

Terraform: Terraform is an infrastructure as code (IAC) tool that helps manage and provision IT infrastructure. It helps us automate the process of provisioning and configuring IT resources and ensures consistency between development and production environments.

Step 4: Gain practical experience:

The best way to gain practical experience is by working on real projects and bootcamps. You can start by contributing to open-source projects or participating in coding challenges and hackathons. You can also attend workshops and online courses to improve your skills.

Step 5: Get certified:

Getting certified in DevOps can help you stand out from the crowd and showcase your expertise to various people. Some of the most popular certifications are:

Certified Kubernetes Administrator (CKA)

AWS Certified DevOps Engineer

Microsoft Certified: Azure DevOps Engineer Expert

AWS Certified Cloud Practitioner

Step 6: Build a strong professional network:

Networking is one of the most important parts of becoming a DevOps Engineer. You can join online communities, attend conferences, join webinars and connect with other professionals in the field. This will help you stay up-to-date with the latest developments and also help you find job opportunities and success.

Conclusion:

You can start your journey towards a successful career in DevOps. The most important thing is to be passionate about your work and continuously learn and improve your skills. With the right skills, experience, and network, you can achieve great success in this field and earn valuable experience.

[patronsaintofmistakenidentity]

decided to fully redo my offline music library because last time i did a massive download of my main playlist there was a transcoding step that had a mild impact to quality. for online listening i use a yt music frontend so i can just use yt-dlp to handle the download (skipping transcoding this time) turns out i needed a transcoding step because my DAP doesn't support the opus codec. it supports vorbis, among a bunch of others but initially they were in an ogg container so i had no idea. this is the part where i lose my mind. obviously i'll just use ffmpeg, just a quick for i in *.opus, -c:a vorbis, etc and. wait a minute. how much quality is that gonna lose me. so i go looking for some test results to see what codec i should encode to in the rare case i have to do lossy to lossy audio transcoding. cool aac is probably a safe but so just -c:a aac and wait a minute which one though. so i check the ffmpeg encoding wiki for aac and settle on fraunhofer libfdk_aac. and its not in my build. its not in most builds. there are no build scripts for it. i load up docker in WSL and try to pull an ffmpeg builder container thats supposed to handle non-free builds. the container doesn't exist. eventually i stumble across a github repo that hosts builds through github actions and the resulting binaries are... i think not legal to distribute but i don't really care. i can finally start transcoding it takes some time. but even once its done only ~1200 of ~1700 files have actually been transcoded but i don't even notice that yet because while those were transcoding i was scraping archive.org for .wav and .flac files of some of my most often listened to albums. they take a long time to download but thats fine i have duplicates now though. thats ok thats... manageable. well i can't just compare by filename because a lot of the new ones are prefixed with a track number and other nonsense, whereas the old ones don't have a track title in metadata so i can't use that either. i download a new program that compares them by content. it doesn't take long actually. impressive. i weed out duplicates and finally tell the DAP to update the library. it reports ~1200 tracks. i reconnect it to my desktop. that number is correct. thats how many files there are. fuck. i'm transcoding from the original ~1700 files again now. i suspect there's something my command line shell doesn't like about special characters in about 500 of the filenames. if that is the case i will have to do something to purge special characters from all the filenames and transcode for a third time i have so far been at this since before sunset. it is midnight. further bulletins as events warrant