#postgres setup

[howtousechatgpt]

Is ChatGPT Easy to Use? Here’s What You Need to Know

Introduction: A Curious Beginning I still remember the first time I stumbled upon ChatGPT my heart raced at the thought of talking to an AI. I was a fresh-faced IT enthusiast, eager to explore how a “gpt chat” interface could transform my workflow. Yet, as excited as I was, I also felt a tinge of apprehension: Would I need to learn a new programming language? Would I have to navigate countless settings? Spoiler alert: Not at all. In this article, I’m going to walk you through my journey and show you why ChatGPT is as straightforward as chatting with a friend. By the end, you’ll know exactly “how to use ChatGPT” in your day-to-day IT endeavors whether you’re exploring the “chatgpt app” on your phone or logging into “ChatGPT online” from your laptop.

What Is ChatGPT, Anyway?

If you’ve heard of “chat openai,” “chat gbt ai,” or “chatgpt openai,” you already know that OpenAI built this tool to mimic human-like conversation. ChatGPT sometimes written as “Chat gpt”—is an AI-powered chatbot that understands natural language and responds with surprisingly coherent answers. With each new release remember buzz around “chatgpt 4”? OpenAI has refined its approach, making the bot smarter at understanding context, coding queries, creative brainstorming, and more.

GPT Chat: A shorthand term some people use, but it really means the same as ChatGPT just another way to search or tag the service.

ChatGPT Online vs. App: Although many refer to “chatgpt online,” you can also download the “chatgpt app” on iOS or Android for on-the-go access.

Free vs. Paid: There’s even a “chatgpt gratis” option for users who want to try without commitment, while premium plans unlock advanced features.

Getting Started: Signing Up for ChatGPT Online

1. Creating Your Account

First things first head over to the ChatGPT website. You’ll see a prompt to sign up or log in. If you’re wondering about “chat gpt free,” you’re in luck: OpenAI offers a free tier that anyone can access (though it has usage limits). Here’s how I did it:

Enter your email (or use Google/Microsoft single sign-on).

Verify your email with the link they send usually within seconds.

Log in, and voila, you’re in!

No complex setup, no plugin installations just a quick email verification and you’re ready to talk to your new AI buddy. Once you’re “ChatGPT online,” you’ll land on a simple chat window: type a question, press Enter, and watch GPT 4 respond.

Navigating the ChatGPT App

While “ChatGPT online” is perfect for desktop browsing, I quickly discovered the “chatgpt app” on my phone. Here’s what stood out:

Intuitive Interface: A text box at the bottom, a menu for adjusting settings, and conversation history links on the side.

Voice Input: On some versions, you can tap the microphone icon—no need to type every query.

Seamless Sync: Whatever you do on mobile shows up in your chat history on desktop.

For example, one night I was troubleshooting a server config while waiting for a train. Instead of squinting at the station’s Wi-Fi, I opened the “chat gpt free” app on my phone, asked how to tweak a Dockerfile, and got a working snippet in seconds. That moment convinced me: whether you’re using “chatgpt online” or the “chatgpt app,” the learning curve is minimal.

Key Features of ChatGPT 4

You might have seen “chatgpt 4” trending this iteration boasts numerous improvements over earlier versions. Here’s why it feels so effortless to use:

Better Context Understanding: Unlike older “gpt chat” bots, ChatGPT 4 remembers what you asked earlier in the same session. If you say, “Explain SQL joins,” and then ask, “How does that apply to Postgres?”, it knows you’re still talking about joins.

Multi-Turn Conversations: Complex troubleshooting often requires back-and-forth questions. I once spent 20 minutes configuring a Kubernetes cluster entirely through a multi-turn conversation.

Code Snippet Generation: Want Ruby on Rails boilerplate or a Python function? ChatGPT 4 can generate working code that requires only minor tweaks. Even if you make a mistake, simply pasting your error output back into the chat usually gets you an explanation.

These features mean that even non-developers say, a project manager looking to automate simple Excel tasks can learn “how to use ChatGPT” with just a few chats. And if you’re curious about “chat gbt ai” in data analytics, hop on and ask ChatGPT can translate your plain-English requests into practical scripts.

Tips for First-Time Users

I’ve coached colleagues on “how to use ChatGPT” in the last year, and these small tips always come in handy:

Be Specific: Instead of “Write a Python script,” try “Write a Python 3.9 script that reads a CSV file and prints row sums.” The more detail, the more precise the answer.

Ask Follow-Up Questions: Stuck on part of the response? Simply type, “Can you explain line 3 in more detail?” This keeps the flow natural—just like talking to a friend.

Use System Prompts: At the very start, you can say, “You are an IT mentor. Explain in beginner terms.” That “meta” instruction shapes the tone of every response.

Save Your Favorite Replies: If you stumble on a gem—say, a shell command sequence—star it or copy it to a personal notes file so you can reference it later.

When a coworker asked me how to connect a React frontend to a Flask API, I typed exactly that into the chat. Within seconds, I had boilerplate code, NPM install commands, and even a short security note: “Don’t forget to add CORS headers.” That level of assistance took just three minutes, demonstrating why “gpt chat” can feel like having a personal assistant.

Common Challenges and How to Overcome Them

No tool is perfect, and ChatGPT is no exception. Here are a few hiccups you might face and how to fix them:

Occasional Inaccuracies: Sometimes, ChatGPT can confidently state something that’s outdated or just plain wrong. My trick? Cross-check any critical output. If it’s a code snippet, run it; if it’s a conceptual explanation, ask follow-up questions like, “Is this still true for Python 3.11?”

Token Limits: On the “chatgpt gratis” tier, you might hit usage caps or get slower response times. If you encounter this, try simplifying your prompt or wait a few minutes for your quota to reset. If you need more, consider upgrading to a paid plan.

Overly Verbose Answers: ChatGPT sometimes loves to explain every little detail. If that happens, just say, “Can you give me a concise version?” and it will trim down its response.

Over time, you learn how to phrase questions so that ChatGPT delivers exactly what you need quickly—no fluff, just the essentials. Think of it as learning the “secret handshake” to get premium insights from your digital buddy.

Comparing Free and Premium Options

If you search “chat gpt free” or “chatgpt gratis,” you’ll see that OpenAI’s free plan offers basic access to ChatGPT 3.5. It’s great for light users students looking for homework help, writers brainstorming ideas, or aspiring IT pros tinkering with small scripts. Here’s a quick breakdown: FeatureFree Tier (ChatGPT 3.5)Paid Tier (ChatGPT 4)Response SpeedStandardFaster (priority access)Daily Usage LimitsLowerHigherAccess to Latest ModelChatGPT 3.5ChatGPT 4 (and beyond)Advanced Features (e.g., Code)LimitedFull accessChat History StorageShorter retentionLonger session memory

For someone just dipping toes into “chat openai,” the free tier is perfect. But if you’re an IT professional juggling multiple tasks and you want the speed and accuracy of “chatgpt 4” the upgrade is usually worth it. I switched to a paid plan within two weeks of experimenting because my productivity jumped tenfold.

Real-World Use Cases for IT Careers

As an IT blogger, I’ve seen ChatGPT bridge gaps in various IT roles. Here are some examples that might resonate with you:

Software Development: Generating boilerplate code, debugging error messages, or even explaining complex algorithms in simple terms. When I first learned Docker, ChatGPT walked me through building an image, step by step.

System Administration: Writing shell scripts, explaining how to configure servers, or outlining best security practices. One colleague used ChatGPT to set up an Nginx reverse proxy without fumbling through documentation.

Data Analysis: Crafting SQL queries, parsing data using Python pandas, or suggesting visualization libraries. I once asked, “How to use chatgpt for data cleaning?” and got a concise pandas script that saved hours of work.

Project Management: Drafting Jira tickets, summarizing technical requirements, or even generating risk-assessment templates. If you ever struggled to translate technical jargon into plain English for stakeholders, ChatGPT can be your translator.

In every scenario, I’ve found that the real magic isn’t just the AI’s knowledge, but how quickly it can prototype solutions. Instead of spending hours googling or sifting through Stack Overflow, you can ask a direct question and get an actionable answer in seconds.

Security and Privacy Considerations

Of course, when dealing with AI, it’s wise to think about security. Here’s what you need to know:

Data Retention: OpenAI may retain conversation data to improve their models. Don’t paste sensitive tokens, passwords, or proprietary code you can’t risk sharing.

Internal Policies: If you work for a company with strict data guidelines, check whether sending internal data to a third-party service complies with your policy.

Public Availability: Remember that anyone else could ask ChatGPT similar questions. If you need unique, private solutions, consult official documentation or consider an on-premises AI solution.

I routinely use ChatGPT for brainstorming and general code snippets, but for production credentials or internal proprietary logic, I keep those aspects offline. That balance lets me benefit from “chatgpt openai” guidance without compromising security.

Is ChatGPT Right for You?

At this point, you might be wondering, “Okay, but is it really easy enough for me?” Here’s my honest take:

Beginners who have never written a line of code can still ask ChatGPT to explain basic IT concepts no jargon needed.

Intermediate users can leverage the “chatgpt app” on mobile to troubleshoot on the go, turning commute time into learning time.

Advanced professionals will appreciate how ChatGPT 4 handles multi-step instructions and complex code logic.

If you’re seriously exploring a career in IT, learning “how to use ChatGPT” is almost like learning to use Google in 2005: essential. Sure, there’s a short learning curve to phrasing your prompts for maximum efficiency, but once you get the hang of it, it becomes second nature just like typing “ls -la” into a terminal.

Conclusion: Your Next Steps

So, is ChatGPT easy to use? Absolutely. Between the intuitive “chatgpt app,” the streamlined “chatgpt online” interface, and the powerful capabilities of “chatgpt 4,” most users find themselves up and running within minutes. If you haven’t already, head over to the ChatGPT website and create your free account. Experiment with a few prompts maybe ask it to explain “how to use chatgpt” and see how it fits into your daily routine.

Remember:

Start simple. Ask basic questions, then gradually dive deeper.

Don’t be afraid to iterate. If an answer isn’t quite right, refine your prompt.

Keep security in mind. Never share passwords or sensitive data.

Whether you’re writing your first “gpt chat” script, drafting project documentation, or just curious how “chat gbt ai” can spice up your presentations, ChatGPT is here to help. Give it a try, and in no time, you’ll wonder how you ever managed without your AI sidekick.

[govindhtech]

Announcing LangChain Postgres open-source Improvements

Open-source LangChain PostgreSQL upgrades

Google Cloud contributed heavily to the library and updated LangChain Postgres at Google Cloud Next ’25. These upgrades enable all application developers to design database-backed agentic gen AI solutions utilising open source technologies.

LangChain, an open-source framework, simplifies agentic gen AI systems that use massive language models. It connects large language models (LLMs) to other data sources for more powerful and context-aware AI applications. LangChain regularly interacts with databases to efficiently manage and extract structured data. The langchain-postgres package integrates PostgreSQL databases to load documents, store chat history, and store vectors for embeddings. Connectivity is needed for LLM-powered apps to use relational data, perform semantic searches, and generate memory chatbots.

Google Cloud enhancements include enterprise-level connection pooling, faster SQL filtering with relational metadata columns, and optimised performance with asynchronous PostgreSQL drivers. It also included:

Developers can use LangChain to create vector databases with vector indexes.

Flexible database schemas for more robust and manageable applications

For better security, the LangChain vector store APIs follow the least privilege principle and clearly distinguish database setup and usage.

Some new enhancements

Improved security and connectivity

Developing secure and dependable generative AI systems requires careful consideration of how your application interacts with the data architecture. Its LangChain Postgres contributions have prioritised security and connection through several key changes.

Following the least privilege concept has been our focus. The revised API distinguishes between database schema creation and application use rights. This separation lets you restrict the application layer's database schema changes. Separating these tasks can boost AI application security and reduce the attack surface.

Maintaining a pool of database connections reduces the overhead of making new connections for each query. This stabilises your application by efficiently limiting resource utilisation and preventing thousands of idle PostgreSQL connections. It also improves speed, especially in high-throughput scenarios.

Designing schema better

The langchain-postgres package historically only allowed schemas with fixed table names and a single json metadata column to resemble vector databases. PostgreSQL's sophisticated querying features allow you to filter non-vector columns to improve vector search quality. Our LangChain postgres package modifications let you define metadata columns to combine vector search queries with SQL filters when querying your vector storage.

Use the new LangChain PostgreSQL package to turn your PostgreSQL database structure into an AI workload with a few lines of code. This eliminates data schema migration.

Features ready for production

Google Cloud introduced vector index management and first-class asynchronous driver integrations in LangChain to enable production-scale applications. Asynchronous drivers enable non-blocking I/O operations, improving performance. This helps your application grow efficiently, reduce resource consumption, and increase responsiveness to handle more concurrent requests.

LangChain may now directly create and maintain vector indexes. This lets you utilise LangChain to describe and build your entire application stack, from database schema to vector index creation, using an infrastructure-as-code technique for vector search. This end-to-end connection simplifies development and makes LangChain AI-powered apps easy to set up and manage by using asynchronous operations and vector search.

LangChain packages for Google Cloud databases were upgraded by Google Cloud. It upstreamed those changes from its packages into LangChain PostgreSQL so developers on any platform could use them. Generative AI applications increasingly rely on databases, therefore software libraries must offer high-quality database connectors to exploit your data. These databases root LLMs, provide RAG application knowledge, and fuel high-quality vector search.

Get started

A quickstart application and langchain-postgres package are available now! Use this guide to switch from the old langchain-postgres package to Google's. Use AlloyDB's LangChain package and Cloud SQL for PostgreSQL to use GCP-specific capabilities like AlloyDB AI's ScaNN index. Create agentic apps with MCP Toolbox.

[flutterflowdevs]

Hire Supabase Developer Today to Supercharge Your App

In the fast-paced world of app development, speed, scalability, and security are non-negotiable. If you're building the next big thing, your backend needs to be as powerful as your vision. That's where Supabase comes in—and more importantly, that's where Flutterflowdevs comes in. If you're looking to Hire Supabase Developer talent that can take your product from idea to launch with unparalleled efficiency, you’ve come to the right place.

Supabase: The Backend Revolution You Need Now

Supabase has exploded onto the development scene, often hailed as the “open-source Firebase alternative.” It offers real-time data, authentication, edge functions, and scalable Postgres—all out of the box. In short, it gives you everything you need to launch production-ready applications without drowning in DevOps.

Yet, Supabase isn’t plug-and-play for everyone. To unlock its full potential, you need more than just tutorials and hope. You need expertise. You need speed. You need someone who’s been there, done that, and built products that scale.

That’s why it’s time to Hire Supabase Developer experts from Flutterflowdevs.

Why Flutterflowdevs?

Because we don't just build apps—we build rockets and launch them into the stratosphere. Flutterflowdevs is the premier destination for hiring vetted, elite-level developers who specialize in Supabase and FlutterFlow. Our mission is to help you launch faster, smarter, and leaner.

When you Hire Supabase Developer talent from Flutterflowdevs, you're not just getting code. You’re getting:

Battle-Tested Expertise: Our developers live and breathe Supabase. Schema design, row-level security, edge functions, Postgres optimization—we do it all.

Rapid Prototyping: Need an MVP in days, not months? We specialize in high-speed app delivery using Supabase as the powerhouse backend.

Seamless Integration with FlutterFlow: Our team doesn’t just know Supabase. We’re masters of FlutterFlow, ensuring your backend and frontend play in perfect harmony.

Future-Proof Scaling: We don’t build for today—we architect for tomorrow. Supabase grows with you, and so will your app.

The Race Is On—Don't Be Left Behind

Every day you wait is another day someone else launches. The startup world rewards those who move fast and break through. If you're still wondering whether to Hire Supabase Developer professionals, your competition already has.

Your dream deserves more than delay. It deserves a backend built on rocket fuel, and a team that can deliver it without hesitation.

At Flutterflowdevs, we operate under one mantra: Speed without sacrifice. You get a polished, scalable, secure backend—fast. And that’s what makes our clients not just happy, but wildly successful.

What Happens When You Don’t?

It’s simple. You fall behind. You’ll spend weeks—or months—trying to hack together a backend. You’ll hit walls. You’ll burn cash. Worst of all, you’ll watch others sprint past while you're still figuring things out.

Why risk the headache when you can Hire Supabase Developer experts from Flutterflowdevs today and eliminate the guesswork?

How to Get Started—Right Now

The process is fast, frictionless, and tailored to you.

Book a free consultation: Tell us about your vision. We’ll help you scope the backend and suggest the best Supabase setup.

Meet your developer(s): We hand-pick from our roster of elite Supabase professionals.

Start building immediately: Your backend will be up and running in days, not weeks.

Your app deserves the best. Your users expect speed. Your investors expect traction. Don’t keep them waiting.

Final Word: You Need More Than a Developer—You Need Flutterflowdevs

Supabase is the future of backend development. FlutterFlow is the future of frontends. And Flutterflowdevs is the bridge that connects them seamlessly. We bring together world-class Supabase developers, lightning-fast delivery, and bulletproof architecture. So if you’re serious about launching your product the right way, there’s no time to lose. Hire Supabase Developer talent from Flutterflowdevs today—because your dream app can’t wait, and neither should you.

For More Details You Can Visit Us:

Flutterflow Development

Flutterflow Developer

Flutterflow Expert

[techexperttutorials]

AWS RDS Aurora Postgres Database Setup: Create/Drop using Python Script

[learning-code-ficusoft]

Hosting Options for Full Stack Applications: AWS, Azure, and Heroku

Introduction

When deploying a full-stack application, choosing the right hosting provider is crucial. AWS, Azure, and Heroku offer different hosting solutions tailored to various needs. This guide compares these platforms to help you decide which one is best for your project.

1. Key Considerations for Hosting

Before selecting a hosting provider, consider: ✅ Scalability — Can the platform handle growth? ✅ Ease of Deployment — How simple is it to deploy and manage apps? ✅ Cost — What is the pricing structure? ✅ Integration — Does it support your technology stack? ✅ Performance & Security — Does it offer global availability and robust security?

2. AWS (Amazon Web Services)

Overview

AWS is a cloud computing giant that offers extensive services for hosting and managing applications.

Key Hosting Services

🚀 EC2 (Elastic Compute Cloud) — Virtual servers for hosting web apps 🚀 Elastic Beanstalk — PaaS for easy deployment 🚀 AWS Lambda — Serverless computing 🚀 RDS (Relational Database Service) — Managed databases (MySQL, PostgreSQL, etc.) 🚀 S3 (Simple Storage Service) — File storage for web apps

Pros & Cons

✔️ Highly scalable and flexible ✔️ Pay-as-you-go pricing ✔️ Integration with DevOps tools ❌ Can be complex for beginners ❌ Requires manual configuration

Best For: Large-scale applications, enterprises, and DevOps teams.

3. Azure (Microsoft Azure)

Overview

Azure provides cloud services with seamless integration for Microsoft-based applications.

Key Hosting Services

🚀 Azure Virtual Machines — Virtual servers for custom setups 🚀 Azure App Service — PaaS for easy app deployment 🚀 Azure Functions — Serverless computing 🚀 Azure SQL Database — Managed database solutions 🚀 Azure Blob Storage — Cloud storage for apps

Pros & Cons

✔️ Strong integration with Microsoft tools (e.g., VS Code, .NET) ✔️ High availability with global data centers ✔️ Enterprise-grade security ❌ Can be expensive for small projects ❌ Learning curve for advanced features

Best For: Enterprise applications, .NET-based applications, and Microsoft-centric teams.

4. Heroku

Overview

Heroku is a developer-friendly PaaS that simplifies app deployment and management.

Key Hosting Features

🚀 Heroku Dynos — Containers that run applications 🚀 Heroku Postgres — Managed PostgreSQL databases 🚀 Heroku Redis — In-memory caching 🚀 Add-ons Marketplace — Extensions for monitoring, security, and more

Pros & Cons

✔️ Easy to use and deploy applications ✔️ Managed infrastructure (scaling, security, monitoring) ✔️ Free tier available for small projects ❌ Limited customization compared to AWS & Azure ❌ Can get expensive for large-scale apps

Best For: Startups, small-to-medium applications, and developers looking for quick deployment.

5. Comparison Table

FeatureAWSAzureHerokuScalabilityHighHighMediumEase of UseComplexModerateEasyPricingPay-as-you-goPay-as-you-goFixed plansBest ForLarge-scale apps, enterprisesEnterprise apps, Microsoft usersStartups, small appsDeploymentManual setup, automated pipelinesIntegrated DevOpsOne-click deploy

6. Choosing the Right Hosting Provider

✅ Choose AWS for large-scale, high-performance applications.

✅ Choose Azure for Microsoft-centric projects.

✅ Choose Heroku for quick, hassle-free deployments.

WEBSITE: https://www.ficusoft.in/full-stack-developer-course-in-chennai/

[technotronixs]

Recent Updates in Laravel 11: Enhancing the Developer Experience

Laravel, one of the most popular PHP frameworks, has consistently delivered powerful tools and features for developers. With the release of Laravel 11, the framework has introduced several enhancements and updates to make development faster, more reliable, and easier. Here, we take a closer look at the latest updates as of January 15, 2025, focusing on the improvements brought by the recent patch versions.

Patch Update: v11.38.2 (January 15, 2025)

The Laravel team continues to refine the framework by:

Simplifying the Codebase: The introduction of the qualifyColumn helper method helps streamline database interactions, making queries more intuitive and efficient.

Postgres Connection Fixes: Reverting support for missing Postgres connection options ensures compatibility with diverse database setups.

Database Aggregation Stability: A rollback of recent changes to database aggregate by group methods resolves issues with complex queries.

Patch Update: v11.38.1 (January 14, 2025)

This patch focused on ensuring stability by:

Reverting Breaking Changes: Addressing the unexpected impact of replacing string class names with ::class constants. This ensures existing projects continue to work without modifications.

Improving Test Coverage: Added a failing test case to highlight potential pitfalls, leading to better framework reliability.

Patch Update: v11.38.0 (January 14, 2025)

Version 11.38.0 brought significant new features, including:

Enhanced Eloquent Relations: New relation existence methods make working with advanced database queries easier.

Fluent Data Handling: Developers can now set data directly on a Fluent instance, streamlining how data structures are manipulated.

Advanced URI Parsing: URI parsing and mutation updates enable more flexible and dynamic routing capabilities.

Dynamic Builders: Fluent dynamic builders have been introduced for cache, database, and mail. This allows developers to write expressive and concise code.

Request Data Access: Simplified access to request data improves the overall developer experience when handling HTTP requests.

Why Laravel 11 Stands Out

Laravel 11 continues to prioritize developer convenience and project scalability. From simplified migrations to improved routing and performance optimizations, the framework is designed to handle modern web development challenges with ease. The following key features highlight its importance:

Laravel Reverb: A first-party WebSocket server for real-time communication, seamlessly integrating with Laravel's broadcasting capabilities.

Streamlined Directory Structure: Reducing default files makes project organization cleaner.

APP_KEY Rotation: Graceful handling of APP_KEY rotations ensures secure and uninterrupted application operation.

Which is the Best Software Development Company in Indore?As you explore the latest updates in Laravel 11 and enhance your development projects, you may also be wondering which is the best software development company in Indore to partner with for your next project. The city is home to a number of top-tier companies offering expert services in Laravel and other modern web development frameworks, making it an ideal location for both startups and enterprise-level businesses. Whether you need a Laravel-focused team or a full-stack development solution, Indore has options that can align with your technical and business requirements.

What’s Next for Laravel?

As the Laravel team prepares to release Laravel 12 in early 2025, developers can expect even more enhancements in performance, scalability, and advanced query capabilities. For those eager to explore the upcoming features, a development branch of Laravel 12 is already available for testing.

Conclusion

With each update, Laravel demonstrates its commitment to innovation and developer satisfaction. The latest updates in Laravel 11 showcase the framework's focus on stability, new features, and ease of use. Whether you’re building small applications or scaling to enterprise-level projects, Laravel 11 offers tools that make development smoother and more efficient.

For the latest updates and in-depth documentation, visit the official Laravel website.

[codeonedigest]

Unlocking the Cloud: Your First Postgres Database on Google VM 

 Check out this new video on the CodeOneDigest YouTube channel! Learn how to create Virtual Machine in Google Cloud Platform, Setup Google Compute Engine VM. Install Postgres Database in GCE Virtual Machine. #codeonedigest @codeonedigest @googlecloud @GoogleCloud_IN @GoogleCloudTech @GoogleCompute @GooglecloudPL #googlecloud #googlecomputeengine #virtualmachine #nodejsapi

[saifosys]

Sonarqube Setup with Postgresql

sonarqube installation along with java 17 Postgresql Database Prerequisites Need an AWS EC2 instance (min t2.small)  Install Java 17 (openjdk-17) apt-get update apt list | grep openjdk-17 apt-get install openjdk-17-jdk -y Install & Setup Postgres Database for SonarQube Source: https://www.postgresql.org/download/linux/ubuntu/ Install Postgresql database Import the repository signing…

[qcs01]

Managing Containerized Applications Using Ansible: A Guide for College Students and Working Professionals

As containerization becomes a cornerstone of modern application deployment, managing containerized applications effectively is crucial. Ansible, a powerful automation tool, provides robust capabilities for managing these containerized environments. This blog post will guide you through the process of managing containerized applications using Ansible, tailored for both college students and working professionals.

What is Ansible?

Ansible is an open-source automation tool that simplifies configuration management, application deployment, and task automation. It's known for its agentless architecture, ease of use, and powerful features, making it ideal for managing containerized applications.

Why Use Ansible for Container Management?

Consistency: Ensure that container configurations are consistent across different environments.

Automation: Automate repetitive tasks such as container deployment, scaling, and monitoring.

Scalability: Manage containers at scale, across multiple hosts and environments.

Integration: Seamlessly integrate with CI/CD pipelines, monitoring tools, and other infrastructure components.

Prerequisites

Before you start, ensure you have the following:

Ansible installed on your local machine.

Docker installed on the target hosts.

Basic knowledge of YAML and Docker.

Setting Up Ansible

Install Ansible on your local machine:

pip install ansible

Basic Concepts

Inventory

An inventory file lists the hosts and groups of hosts that Ansible manages. Here's a simple example:

[containers] host1.example.com host2.example.com

Playbooks

Playbooks define the tasks to be executed on the managed hosts. Below is an example of a playbook to manage Docker containers.

Example Playbook: Deploying a Docker Container

Let's start with a simple example of deploying an NGINX container using Ansible.

Step 1: Create the Inventory File

Create a file named inventory:

[containers] localhost ansible_connection=local

Step 2: Create the Playbook

Create a file named deploy_nginx.yml:

name: Deploy NGINX container hosts: containers become: yes tasks:

name: Install Docker apt: name: docker.io state: present when: ansible_os_family == "Debian"

name: Ensure Docker is running service: name: docker state: started enabled: yes

name: Pull NGINX image docker_image: name: nginx source: pull

name: Run NGINX container docker_container: name: nginx image: nginx state: started ports:

"80:80"

Step 3: Run the Playbook

Execute the playbook using the following command:

ansible-playbook -i inventory deploy_nginx.yml

Advanced Topics

Managing Multi-Container Applications

For more complex applications, such as those defined by Docker Compose, you can manage multi-container setups with Ansible.

Example: Deploying a Docker Compose Application

Create a Docker Compose file docker-compose.yml:

version: '3' services: web: image: nginx ports: - "80:80" db: image: postgres environment: POSTGRES_PASSWORD: example

Create an Ansible playbook deploy_compose.yml:

name: Deploy Docker Compose application hosts: containers become: yes tasks:

name: Install Docker apt: name: docker.io state: present when: ansible_os_family == "Debian"

name: Install Docker Compose get_url: url: https://github.com/docker/compose/releases/download/1.29.2/docker-compose-uname -s-uname -m dest: /usr/local/bin/docker-compose mode: '0755'

name: Create Docker Compose file copy: dest: /opt/docker-compose.yml content: | version: '3' services: web: image: nginx ports: - "80:80" db: image: postgres environment: POSTGRES_PASSWORD: example

name: Run Docker Compose command: docker-compose -f /opt/docker-compose.yml up -d

Run the playbook:

ansible-playbook -i inventory deploy_compose.yml

Integrating Ansible with CI/CD

Ansible can be integrated into CI/CD pipelines for continuous deployment of containerized applications. Tools like Jenkins, GitLab CI, and GitHub Actions can trigger Ansible playbooks to deploy containers whenever new code is pushed.

Example: Using GitHub Actions

Create a GitHub Actions workflow file .github/workflows/deploy.yml:

name: Deploy with Ansible

on: push: branches: - main

jobs: deploy: runs-on: ubuntu-lateststeps: - name: Checkout code uses: actions/checkout@v2 - name: Set up Ansible run: sudo apt update && sudo apt install -y ansible - name: Run Ansible playbook run: ansible-playbook -i inventory deploy_compose.yml

Conclusion

Managing containerized applications with Ansible streamlines the deployment and maintenance processes, ensuring consistency and reliability. Whether you're a college student diving into DevOps or a working professional seeking to enhance your automation skills, Ansible provides the tools you need to efficiently manage your containerized environments.

For more details click www.qcsdclabs.com

[uwteam]

14 lipca 2023

◢ #unknownews ◣

Witaj w kolejnym przeglądzie interesujących treści z branży IT z ubiegłego tygodnia.

Sponsorem tego wydania jest firma Connectis_, która posiada społeczność na Discordzie skoncentrowaną na rozwoju kariery ekspertów IT. Jednocześnie Connectis_ przygotował innowacyjną platformę C_hub, która samodzielnie proponuje ciekawe projekty ekspertom, bazując na ich kompetencjach i doświadczeniu. Sprawdź możliwości C_Huba i dołącz do społeczności.

1) Fotobudka z efektem "bullet time" https://there.oughta.be/a/bullet-time-video-booth INFO: Prawdopodobnie kojarzysz efekt bullet time, znany np. z filmu Matrix (np. scena, gdy Neo ucieka przed kulami). Autor wpisu postanowił zbudować 'fotobudkę weselną' realizującą taki właśnie efekt. Pomysłowa konstrukcja. Na początku tekstu masz link do filmu prezentującego działanie budki w praktyce.

2) Jak wyglądał typowy setup komputera developera z lat 90? https://retrocoding.net/the-90s-developer-starter-pack INFO: Windows XP, proces 486 i RAM liczony w megabajtach brzmią znajomo? Też na takim sprzęcie zaczynałem przygodę z programowaniem. Odrobina nostalgii dla programistów mocno po 30-stce.

3) Przegląd aktualnych trendów w UI (film, 9 minut) https://www.youtube.com/watch?v=TBOmUuG-9BY INFO: Paski postępu, customowe kursory, ogromne teksty nagłówkowe na stronie, obiekty 3D, przekombinowane animacje i wiele, wiele innych. Zobacz, co teraz jest modne (i wkurzające przy okazji z punktu widzenia autorki filmu) w świecie UI.

4) Jak zaimplementować sprytną wyszukiwarkę w PostgreSQL? https://xata.io/blog/postgres-full-text-search-engine INFO: Importujesz dane do bazy, a później chcesz efektywnie je wyszukiwać. Jak się do tego zabrać? Czym jest szukanie wektorowe i jak zaimplementować 'fuzzysearch'? O tym w artykule.

5) Klasyczne narzędzia unixowe i ich zastosowanie przy obchodzeniu zabezpieczeń https://gtfobins.github.io/ INFO: Czy typowe narzędzia takie jak cat, gzip, tail, awk, at itp. mogą stanowić zagrożenie w systemie Linux/Unix? Mogą! Pod warunkiem że system jest niepoprawnie skonfigurowany. Każde narzędzie ma podany przykład, co złego może przytrafić się w jednym z dwóch przypadków: gdy dany tool ma ustawiony bit SUID lub gdy użytkownik ma prawa do wykonania tego narzędzia przez sudo.

6) Jakiego RAID-a wybrać pod NAS-a? https://www.backblaze.com/blog/nas-raid-levels-explained-choosing-the-right-level-to-protect-your-nas-data/ INFO: Świetne opracowanie tematu RAIDów prosto od Backblaze. Bardzo przystępnie opisana zasada działania każdej z wersji, wraz z plusami i minusami danego rozwiązania.

7) Connectis C_hub - projekty dopasowane do Twoich umiejętności i zainteresowań [sponsorowane] https://connectis.pl/c-hub INFO: Dzięki C_hub, oszczędzisz czas na poszukiwaniu projektów, które CIę interesują. Dzięki temu rozwiązaniu to projekty znajdą Ciebie. Zarejestruj się w serwisie i sprawdź, jak to działa. Warto także dołączyć do społeczności na Discordzie związanej z projektem.

8) Dlaczego Polska była pod wodą w Windows XP i Windows 2000? https://devblogs.microsoft.com/oldnewthing/20061027-00/?p=29213 INFO: Za czasów WIndowsa 95 wszystko działało poprawnie, jednak przy wprowadzeniu na rynek Windowsa XP/2000, nagle zamiast Polski pojawiło się... polskie morze, a konkretniej mówiąc niebieska plama wody w miejscu, w którym powinien być nasz kraj. Skąd wzięło się 'Polish Sea'? Ciekawy (choć już dość stary) opis przyczyny tego buga.

9) Wideo kurs "NGINX w godzinę" - wersja 2.0 [autopromocja] https://nginx.mikr.us/ INFO: Nowa odsłona mojego kursu NGINXa, rozbudowana o 4 nowe lekcje związane z loadbalancingiem, cachowaniem, basic auth i mapami w konfiguracji. Kurs jest dostępny w stałej sprzedaży, ale tylko do soboty obowiązuje jeszcze cena z wersji 1.0. Jeśli kupiłeś pierwszą wersję, to na Twoim koncie jest już dostępna aktualizacja do wersji 2.0.

10) Niedostrzegalne elementy przy projektowaniu interakcji - czego nie widzi user? (UI/UX) https://rauno.me/craft/interaction-design INFO: Wszyscy znamy linki, przyciski, paski przewijania, ale to tylko wierzchołek góry lodowej w kategorii interakcji z użytkownikiem. Istnieją jeszcze metody interakcji z interfejsem, które są tak naturalne, że praktycznie ich nie zauważamy, ale ktoś jednak musiał je zaimplementować. Ten artykuł świetnie pokazuje, jak taki 'interaction design' może wyglądać.

11) Wyjaśnienie HTMX in 100 seconds https://www.youtube.com/watch?v=r-GSGH2RxJs INFO: Jest szansa, że słyszałeś o bibliotece HTMX, która pozwala na szybkie zaprogramowanie frontendu bez konieczności pisania kodu JS, tworząc interakcje (łącznie z obsługą Ajaxa, WebSocketów itp.) w samym HTML. Pod spodem oczywiście działa JS, ale magia polega na tym, że programista pisze jedynie kod HTML. Ten film wyjaśnia, na czym polega użycie tej biblioteki.

12) Omówienie najpopularniejszych architektur API (film, 5 minut) https://www.youtube.com/watch?v=4vLxWqE94l4 INFO: SOAP, RESTful, GraphQL, gRPC i kilka innych. Czym się od siebie różnią i jak działają? Bardzo zwięzła prezentacja dająca ogólny pogląd na daną technologię.

13) Jak bezpieczne będzie współczesne szyfrowanie w 2030 roku? https://articles.59.ca/doku.php?id=em:20482030 INFO: Przez lata twierdzono, że 2048-bitowe klucze RSA są wystarczająco bezpieczne. Obecnie jednak sugeruje się używanie kluczy o minimalnej mocy 3072 bitów, ponieważ te poprzednio rekomendowane będą teoretycznie łatwo łamliwe do 2030 roku. Skąd takie przypuszczenie i co to dla nas oznacza? Tego dowiesz się z artykułu.

14) Raport "State of API 2023" od Postmana https://www.postman.com/state-of-api/ INFO: Duże badanie przeprowadzone na ponad 37 tysiącach programistów na temat tego, jak korzystają z API. Jakie technologie wykorzystują i jak wygląda ich praca. Nawigacja po raporcie jest bardzo niewygodna. Kliknij "Read the Report" na końcu tekstu, aby zobaczyć spis treści.

15) Jak zrozumieć Apache Kafka za pomocą... gry Factorio https://ruurtjan.medium.com/understanding-kafka-with-factorio-74e8fc9bf181 INFO: Autor tłumaczy niektóre z koncepcji znanych z Kafki na przykładzie mechanizmów działających w grze Factorio (to gra poniekąd związana z programowaniem/automatyzacją - warto rzucić okiem).

16) Używać DOM­Content­Loaded do śledzenia wydajności frontendu? https://csswizardry.com/2023/07/in-defence-of-domcontentloaded/ INFO: Wielu frontendowców mierzy szybkość ładowania aplikacji poprzez wspomniany event. Z jednej strony jest to jakaś sensowna, policzalna metryka. Z drugiej jednak (co zobaczysz na pierwszym animowanym przykładzie na podlinkowanej stronie), nie zawsze przekłada się to na realny user experience. Co więc mierzyć i jak mierzyć, aby było dobrze?

17) Jak mały może być skompilowany program w .NET? https://blog.washi.dev/posts/tinysharp/ INFO: Autor podjął wyzwanie stworzenia najmniejszego możliwego pliku wykonywalnego, wypisującego zdanie "Hello World" w technologii .NET. Artykuł omawia krok po kroku zastosowane optymalizacje. Interesujące.

18) Czy da się zdobyć imię użytkownika Maca za pomocą mDNS? https://fingerprint.com/blog/apple-macos-mdns-brute-force/ INFO: Ciekawy eksperyment pokazujący, że w pewnych warunkach możliwe jest sprawdzenie, jak ma na imię użytkownik odwiedzający stronę. Zgadywanie imienia odbywa się metodą siłową z użyciem mDNS i działa jedynie wtedy, gdy w nazwie Twojego komputera występuje Twoje imię (co jest domyślnym ustawieniem na MacOS / iOS).

19) Server Side CSS? - tak, to możliwe ;) https://dev.to/thormeier/dont-try-this-at-home-css-as-the-backend-what-3oih?s=35 INFO: Nie wnikajmy, w jakim celu autor używa CSS-a do generowania zawartości stron, wykonywania obliczeń matematycznych i ustawiania routingu w aplikacji webowej. Używanie CSS-a jako backendu, jest to oczywiście 'sztuka dla sztuki', ale jakby nie patrzeć, czegoś z tego podejścia można się nauczyć. Przyjemna lektura.

20) Opus Clip - automat AI do tworzenia Rolek/Shortów https://www.opus.pro/ INFO: Nagrywasz filmy na YouTube i chcesz przerobić je możliwie szybko i łatwo na zajawki wrzucane do sieci społecznościowych? Ten automat zrobi to za Ciebie. Sam wybierze interesujące fragmenty, sam je wytnie, wyrenderuje i z jednego filmu przygotuje Ci nawet 10 materiałów wideo. Mają w ofercie plan darmowy.

21) Generator zestawu ćwiczeń fizycznych https://workout.lol/ INFO: Wybierz, jakie akcesoria posiadasz w domu (a może nie masz niczego?), następnie zaznacz, które mięśnie chcesz ćwiczyć i przystąp do ćwiczeń. Każdy element workoutu posiada instrukcję wykonywania ćwiczenia w formie wideo.

22) IMMICH - alternatywa selfhosted dla Google Photos https://immich.app/ INFO: Nie chcesz trzymać swoich zdjęć i filmów w chmurze Google, a jednocześnie dysponujesz własnym serwerem (może być VPS)? To rozwiązanie jest dla Ciebie. Automatycznie backupuje media z telefonu i wrzuca je na samohostowalną platformę.

23) Parsujesz adresy URL dostarczone przez użytkownika? https://azeemba.com/posts/what-is-a-url.html?ref=refind INFO: Parsowanie URLi nie jest takie proste, jak mogłoby się wydawać i zaawansowany użytkownik (agresor chcący zaatakować aplikację) może wykorzystać to na swoją korzyść. Warto rzucić okiem na artykuł i przy okazji zapoznać się z nagraniem prelekcji z początku tekstu.

24) Clickvote - otwartoźródłowy mechanizm do implementacji ocen w aplikacji webowej https://dev.to/github20k/clickvote-open-source-upvotes-likes-and-reviews-to-any-context-3ef9 INFO: Chcesz podpiąć 'gwiazdki' z ocenami do dowolnej fotki, formularza, czy produktu na stronie? Jeden mały fragment kodu i gotowe. Sekretem jednak jest to, co siedzi pod spodem. Linkuję do artykułu opisującego budowę Clickvote, a nie do samego repo.

25) Rejestratorzy domen polecani przez developerów https://blog.pragmaticengineer.com/domain-registrars-which-developers-recommend/ INFO: Wyniki mini ankiety (250+ uczestników) na temat polecanych rejestratorów domen. Kogo lubią i za co? Co sprawia, że używają tego, a nie innego dostawcy domen?

26) DriverJS - biblioteka do tworzenia przewodników po aplikacji https://driverjs.com/ INFO: Kojarzysz typowy onboarding stosowany często w aplikacjach typu SaaS, gdzie podświetlane są różne funkcje w panelu użytkownika i tooltipy informują jak korzystać z tej konkretnej appki? To Driver potrafi przygotować taki właśnie tour po aplikacji. Kliknij czarny przycisk z demo, a zobaczysz, o co dokładnie chodzi.

27) AppTotal - informacje na temat aplikacji SaaS korzystających z OAuth https://apptotal.io/ INFO: Logujesz się do aplikacji przez OAuth, ale czy zastanawiałeś się kiedyś, kto jest jej autorem? Dokąd wysyłane są Twoje dane i czy wymagane uprawnienia są naprawdę potrzebne tej aplikacji? AppTotal potrafi prześwietlić aplikację np. na podstawie Googlowego Client ID, czy też po jej nazwie.

28) Wygeneruj pełną aplikację React/Node.js przy pomocy ChatGPT https://magic-app-generator.wasp-lang.dev/ INFO: Opisz własnymi słowami, jaką aplikację chcesz stworzyć (im dokładniejszy opis, tym lepsze efekty), a sztuczna inteligencja wygeneruje dla Ciebie gotowy i działający kod napisany z użyciem React, Node.js, Prismy i Waspa.

29) Generator scrollowanych screenshotów https://damngood.tools/tools/scrolling-screenshots INFO: Podajesz adres strony, wybierasz urządzenie i format wyjściowy, a w odpowiedzi otrzymujesz plik z filmem pokazującym scrollowanie po Twojej stronie. Może to być atrakcyjny sposób pokazania np. miniatury layoutu, czy filmów z kursu online.

30) Jak sprytnie wykonać comboboxy w aplikacji webowej? https://adrianroselli.com/2023/06/under-engineered-comboboxen.html INFO: Zacznijmy od tego, czym są tajemnicze 'comboboxy'. To skrzyżowanie inputa z selectem. Możesz tam wpisać własną wartość albo wybrać coś z predefiniowanych wartości. Przy wpisywaniu działa jeszcze autouzupełnianie. Jak taki efekt osiągnąć?

31) Praca z wirtualnymi maszynami na Macu https://jvns.ca/blog/2023/07/10/lima--a-nice-way-to-run-linux-vms-on-mac/ INFO: Użytkownicy Maców od lat używali Virtualboxa, aż tu nagle pojawiła się rodzina procesorów ARM i Virtualbox musiał pójść w odstawkę (obsługuje on tylko x86). Jak najwygodniej rozpocząć pracę z VM na procesorach M1/M2? Autorka sugeruje dwie aplikację: Limę oraz OrbStack. Ja bym dorzucił jeszcze UTM-a.

32) Napisz własny generator "tierlist" w Pythonie https://www.freecodecamp.org/news/python-tier-list-maker/ INFO: Tierlisty, to coś na wzór rankingów. Czasami prezentuje się w ten sposób najlepsze książki, ulubione seriale, aktorów itp. Gdy zobaczysz przykład w artykule, to jest szansa, że zrozumiesz, o co chodzi. Autor wyjaśnia tutaj, jak stworzyć generator takich zestawień, którego efektem pracy jest plik graficzny ze wspomnianą tierlistą.

== LINKI TYLKO DLA PATRONÓW ==

33) Jak bezpiecznie tworzyć aplikacje wykorzystujące AI https://uw7.org/un_480123b42cd94 INFO: Mowa tutaj nie o generowaniu kodu aplikacji, a o integrowaniu swojej aplikacji z AI. Taka integracja niesie ze sobą spore ryzyko w związku z niebezpieczeństwem wycieku danych, ataków prompt injection itp. Jak temu zaradzić?

Jeśli chcesz otrzymywać takie zestawienie na maila, to zapisz się na newsletter.

[govindhtech]

AlloyDB Omni Version 15.7.0 Improves PostgreSQL Workflows

AlloyDB Omni boosts performance with vector search, analytics, and faster transactions.

With its latest release AlloyDB Omni version 15.7.0, AlloyDB Omni is back and is significantly improving your PostgreSQL workflows. These improvements include:

Quicker performance

A brand-new, lightning-fast disk cache

A better columnar engine

The widespread use of ScANN vector indexing

The AlloyDB Omni Kubernetes operator has been updated.

In your data center, on the edge, on your laptop, in any cloud, and with 100% PostgreSQL compatibility, this update offers on all fronts, from transactional and analytical workloads to state-of-the-art vector search.

AlloyDB Omni version 15.7.0 is now broadly accessible (GA). The following updates and features are included in version AlloyDB Omni version 15.7.0:

AlloyDB Version 15.7 of PostgreSQL is supported by Omni.

Previously known as postgres_scann, the alloydb_scann extension is now generally available (GA).

There is generally available (GA) support for Red Hat Enterprise Linux (RHEL) 8.

You can preview the AlloyDB Omni columnar engine on ARM.

Because disk cache and columnar storage cache speed up data access for AlloyDB Omni in a container and on a Kubernetes cluster, they can enhance AlloyDB Omni performance.

It has applied security updates for CVE-2023-50387 and CVE-2024-7348.

The documentation for the AlloyDB Omni Reference is accessible. This comprises AlloyDB Omni 15.7.0 metrics, database flags, model endpoint management reference, and extension documentation.

AlloyDB The pg_ivm extension, which offers incremental view maintenance for materialized views, is compatible with Omni.

Numerous efficiency enhancements and bug fixes.

Let’s get started.

Improved performance

When compared to regular PostgreSQL, many workloads already experience an improvement. For transactional workloads, AlloyDB Omni outperforms regular PostgreSQL by more than two times in performance testing. The majority of the tuning is done automatically for you without the need for additional setups. The memory agent that maximizes shared buffers while preventing out-of-memory issues is one of the main benefits. AlloyDB Omni generally runs better with more memory configured because it can serve more queries from the shared buffers and eliminate the need for disk calls, which can be significantly slower than memory, especially when utilizing durable network storage.

An extremely fast disk cache

The introduction of an ultra-fast disk cache also made the trade-off between memory and disk storage more flexible. As an extension of Postgres’ buffer cache, it enables you to set up a quick, local, and perhaps brittle storage device. AlloyDB Omni can store a copy of not-quite-hot data in the disk cache, where it can be accessed more quickly than from the permanent disk, rather than aging out of memory to create room for new data.

Improved columnar engine

The analytics accelerator from AlloyDB Omni is revolutionizing mixed workloads. Because it eliminates the need to manage additional data pipelines or databases, developers are finding it helpful for extracting real-time analytical insights from their transactional data. To speed up queries, you can instead activate the columnar engine, allocate a piece of your memory to it, and let AlloyDB Omni to choose which tables or columns to load in the columnar engine. The columnar engine outperforms regular PostgreSQL by up to 100x in our benchmarks for analytical queries.

The amount of RAM you can allocate to the columnar engine dictates the analytics accelerator’s practical size limit. The ability to set up a quick local storage device for the columnar engine to spill to is a new feature. This expands the amount of data on which you may do analytical queries.

SCaNN becomes GA

Finally, AlloyDB Omni already provides excellent performance with pgvector utilizing either the ivf or hnsw indexes for vector database use cases. Vector indexes, however, can be slow to build and reload even though they are a terrific method to speed up queries. It added the ScaNN index as an additional index type at Google Cloud Next 2024. The ScaNN index from AlloyDB AI provides up to 4 times faster vector queries than the HNSW index used in ordinary PostgreSQL. ScaNN offers substantial benefits for practical applications beyond only speed:

Rapid indexing: With noticeably quicker index build times, you may expedite development and remove bottlenecks in large-scale deployments.

Optimized memory usage: Cut memory usage by three to four times as compared to PostgreSQL’s HNSW index. This improves performance for a variety of hybrid applications and enables larger workloads to operate on smaller hardware.

In general, AlloyDB AI ScANN indexing is accessible as of AlloyDB Omni version 15.7.0.

A fresh Kubernetes administrator

Google Cloud has published version 1.2.0 of the AlloyDB Omni Kubernetes operator in addition to the latest version of AlloyDB Omni. With this release, you can now configure high availability to be enabled when a disaster recovery secondary cluster is promoted to primary, add more configuration options for health checks when high availability is enabled, and use log rotation to help manage the storage space used by PostgreSQL log files.

Version 1.2.0 of the AlloyDB Omni Kubernetes operator is now broadly accessible (GA). The following new features are included in version 1.2.0:

The interval between health checks can be set in seconds using the healthcheckPeriodSeconds option.

You can keep an eye on your database container’s performance with the following metrics. These measurements are all type gauge.

A database container’s memory limit is displayed by alloydb_omni_memory_limit_byte.

All replicas connected to the AlloyDB Omni primary node are shown in alloydb_omni_instance_postgresql_replication_state.

The database container’s memory usage is displayed in bytes via alloydb_omni_memory_used_byte.

When the following is true, a problem that briefly disrupted all database clusters has been resolved:

The AlloyDB Omni Kubernetes operator version 1.1.1 is being upgraded to a more recent version.

Version 15.5.5 or higher of the AlloyDB Omni database is what you’re using.

AI for AlloyDB is not activated.

Once promoted, high availability is supported on a secondary database cluster.

Model endpoint management can be enabled or disabled using Kubernetes manifests.

By setting thresholds depending on the size of the log files, the amount of time since the log file last rotated, or both, you may control when logs rotate.

To examine and troubleshoot the memory performance of the AlloyDB Omni Kubernetes operator, you can take a snapshot of its memory heap.

Note: Parameterized view features were accessible via the alloydb_ai_nl extension of AlloyDB Omni versions 15.5.5 and earlier. The parameterized_views extension, which you must develop before using parameterized views, contains the parameterized view features starting in AlloyDB Omni version 15.7.0. The associated function, google_exec_param_query, has also been renamed to execute_parameterized_query and is accessible through the parameterized_views extension as of AlloyDB Omni version 15.7.0.

Read more on Govindhtech.com

[zdevops]

Mainframe Community / Mattermost

So, last night I ‘launched’ a MatterMost instance on https://mainframe.community. To summarize MatterMost (via wikipedia) it is: an open-source, self-hostable online chat service with file sharing, search, and integrations. It is designed as an internal chat for organisations and companies, and mostly markets itself as an open-source alternative to Slack[7][8] and Microsoft Teams. In this post I wanted to quickly explain how and why I did this. Let’s start with the why first. But Why? Last week, while working for one of my clients, I discovered they are starting to implemen MatterMost as a cross-team collaboration tool. And I discovered it has integrations, webhooks and bots. Being the Mainframe nerd I am, I quickly whipped up some lines of REXX to call CURL so I could ‘post’ to a MatterMost channel straight from The Mainframe. It was also quite easy in the wsadmin scripts to have jython execute an os.system to call curl and do the post... Now I wanted to take it a step further and create a “load module” that did the same, but could be called from a regular batch-job to, I donno, post messages when jobs failed, or required other forms of attention. Seeing as I was going to develop that on my own ZPDT/ZD&T I needed a sandbox environment. Running MatterMost locally from docker was a breeze, yet not running as “https” (something I wanted to test to work from the still to be made load-module. So, seeing as I already had the “mainframe.community”-domain, I thought, why not host it there, and use that as a sandbox....turned out that was easier done than imagined. But How? The instructions provided at https://docs.mattermost.com/install/install-ubuntu-1804.html were easy enough to follow and should get you up and running yourself in under an hour.

Seeing as there already ‘some stuff’ running at the local datacenter here I already had an nginx-environment up and running. I started with creating a new VM in my ProxMox environment (running Ubuntu 18.04) and made sure this machine got a static IP. From there on I did the following:

sudo apt update sudo apt upgrade sudo apt install postgresql postgresql-contrib

That then made sure the VM had a local database for all the MatterMost things. Initializing the DB environment was as easy as;

sudo --login --user postgres psql postgres=# CREATE DATABASE mattermost; postgres=# CREATE USER mmuser WITH PASSWORD 'x'; postgres=# GRANT ALL PRIVILEGES ON DATABASE mattermost to mmuser; postgres=# \q exit

Of course the password is not ‘x’ but something a bit more secure...

Then, make a change to the postgres config (vi /etc/postgresql/10/main/pg_hba.conf) changing the line

local   all             all                        peer

to

local   all             all                        trust

Then installing mattermost was basically these next commands:

  systemctl reload postgresql   wget https://releases.mattermost.com/5.23.1/mattermost-5.23.1-linux-amd64.tar.gz   mv mattermost /opt   mkdir /opt/mattermost/data   useradd --system --user-group mattermost   chown -R mattermost:mattermost /opt/mattermost   chmod -R g+w /opt/mattermost   vi /opt/mattermost/config/config.json   cd /opt/mattermost/   sudo -u mattermost ./bin/mattermost   vi /opt/mattermost/config/config.json   sudo -u mattermost ./bin/mattermost   vi /lib/systemd/system/mattermost.service   systemctl daemon-reload   systemctl status mattermost.service   systemctl start mattermost.service   curl http://localhost:8065   systemctl enable mattermost.service   restart mattermost   systemctl restart mattermost

Some post configuration needed to be done via the MatterMost webinterface (that was running like a charm) and then just a little nginx-config like specified at the MatterMost docs webpages and it was all up and running. Thanks to the peeps at LetsEncrypt it’s running TLS too :) Curious to see how ‘busy’ it will get on the mainframe.community. I’ve setup the VM with enough hardware resource to at least host 2000 users. So head on over to https://mainframe.community and make me ‘upgrade’  the VM due to the user growth :)

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Buying Dedicated Server Cost in India

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