#deployment automation

[psychiatricmentalhealthfacility]

Claiming those without sufficient technological or life extension access are proven criminals or non-citizens or are artificial simulations resembling life that do not need technological access or to have data recorded in relation to them. Criminals claiming their victims are merely automated. Automatics. Automated.

[jcmarchi]

A Few Ways That Cloudways Makes Running This Site a Little Easier

New Post has been published on https://thedigitalinsider.com/a-few-ways-that-cloudways-makes-running-this-site-a-little-easier/

A Few Ways That Cloudways Makes Running This Site a Little Easier

It’s probably no surprise to you that CSS-Tricks is (proudly) hosted on Cloudways, DigitalOcean’s managed hosting arm. Given both CSS-Tricks and Cloudways are part of DigitalOcean, it was just a matter of time before we’d come together this way. And here we are!

We were previously hosted on Flywheel which was a fairly boutique WordPress hosting provider until WP Engine purchased it years back. And, to be very honest and up-front, Flywheel served us extremely well. There reached a point when it became pretty clear that CSS-Tricks was simply too big for Flywheel to scale along. That might’ve led us to try out WP Engine in the absence of Cloudways… but it’s probably good that never came to fruition considering recent events.

Anyway, moving hosts always means at least a smidge of contest-switching. Different server names with different configurations with different user accounts with different controls.

We’re a pretty low-maintenance operation around here, so being on a fully managed host is a benefit because I see very little of the day-to-day nuance that happens on our server. The Cloudways team took care of all the heavy lifting of migrating us and making sure we were set up with everything we needed, from SFTP accounts and database access to a staging environment and deployment points.

Our development flow used to go something like this:

Fire up Local (Flywheel’s local development app)

Futz around with local development

Push to main

Let a CI/CD pipeline publish the changes

I know, ridiculously simple. But it was also riddled with errors because we didn’t always want to publish changes on push. There was a real human margin of error in there, especially when handling WordPress updates. We could have (and should have) had some sort of staging environment rather than blindly trusting what was working locally. But again, we’re kinduva a ragtag team despite the big corporate backing.

The flow now looks like this:

Fire up Local (we still use it!)

Futz around with local development

Push to main

Publish to staging

Publish to production

This is something we could have set up in Flywheel but was trivial with Cloudways. I gave up some automation for quality assurance’s sake. Switching environments in Cloudways is a single click and I like a little manual friction to feel like I have some control in the process. That might not scale well for large teams on an enterprise project, but that’s not really what Cloudways is all about — that’s why we have DigitalOcean!

See that baseline-status-widget branch in the dropdown? That’s a little feature I’m playing with (and will post about later). I like that GitHub is integrated directly into the Cloudways UI so I can experiment with it in whatever environment I want, even before merging it with either the staging or master branches. It makes testing a whole lot easier and way less error-prone than triggering auto-deployments in every which way.

Here’s another nicety: I get a good snapshot of the differences between my environments through Cloudways monitoring. For example, I was attempting to update our copy of the Gravity Forms plugin just this morning. It worked locally but triggered a fatal in staging. I went in and tried to sniff out what was up with the staging environment, so I headed to the Vulnerability Scanner and saw that staging was running an older version of WordPress compared to what was running locally and in production. (We don’t version control WordPress core, so that was an easy miss.)

I hypothesized that the newer version of Gravity Forms had a conflict with the older version of WordPress, and this made it ridiculously easy to test my assertion. Turns out that was correct and I was confident that pushing to production was safe and sound — which it was.

That little incident inspired me to share a little about what I’ve liked about Cloudways so far. You’ll notice that we don’t push our products too hard around here. Anytime you experience something delightful — whatever it is — is a good time to blog about it and this was clearly one of those times.

I’d be remiss if I didn’t mention that Cloudways is ideal for any size or type of WordPress site. It’s one of the few hosts that will let you BOYO cloud, so to speak, where you can hold your work on a cloud server (like a DigitalOcean droplet, for instance) and let Cloudways manage the hosting, giving you all the freedom to scale when needed on top of the benefits of having a managed host. So, if you need a fully managed, autoscaling hosting solution for WordPress like we do here at CSS-Tricks, Cloudways has you covered.

[kevinmarville]

Fixing Docker Run Issues Blocking GitHub Action PRs

github.com/All-Hands-AI/OpenHands/pull/8661 When a failing Docker command prevents a GitHub Action from completing a pull request, check the command syntax (--rm instead of --rn, properly formatted -v), review GitHub Action logs for error details, test locally, enable debug logging, and verify all dependencies. Ensuring proper setup helps prevent workflow disruptions.

[ramniwas-sangwan]

Terraform on Azure - create Linux Virtual Machine | Infrastructure as Code

[asadmukhtarr]

"Continuous Delivery" by Jez Humble and David Farley is a seminal book that provides a comprehensive guide to achieving reliable, rapid, and repeatable software delivery. The book outlines principles, practices, and techniques that enable teams to deliver high-quality software efficiently. Below is a user-friendly, step-by-step breakdown of the key outcomes and takeaways from the book, designed to help readers understand and implement continuous delivery effectively.

[azuretrainingsin]

What Are Artifacts in Software Development?

In the world of DevOps & CI/CD, artifacts play a crucial role! Master CI/CD & DevOps with Azure Trainings and elevate your IT career! Call: +91 98824 98844 Learn More: www.azuretrainings.in

[ai-factory]

AI Factory: Pioneering Innovation with Advanced AI Solutions

In today’s rapidly evolving digital landscape, businesses face unprecedented challenges and opportunities. Artificial Intelligence (AI) has emerged as a transformative force, enabling organizations to optimize operations, enhance decision-making, and deliver exceptional customer experiences. Enter the AI Factory—a revolutionary platform designed to empower businesses with scalable AI solutions tailored to their unique needs.

What is AI Factory?

The AI Factory is a cutting-edge platform that brings together advanced AI capabilities to streamline the development, deployment, and management of AI solutions. It serves as a comprehensive hub for:

AI Use Case Development

Proof of Concept (POC) Implementation

AI Solution Deployment

Lifecycle Management of AI Models

Explore more about the transformative potential of AI Factory on UnifyCloud’s AI Factory platform.

Why Businesses Need an AI Factory

The AI Factory addresses several critical pain points for organizations:

Scalability: Develop and deploy AI solutions that grow with your business.

Customization: Tailor AI models to address industry-specific challenges.

Efficiency: Automate workflows and reduce operational inefficiencies.

Cost Optimization: Manage resources effectively with tools like CloudAtlas AI Cost Optimize.

Industry-Specific Applications

Healthcare

The healthcare sector is witnessing a paradigm shift with AI-driven innovations:

Medical Imaging: Deploy AI POCs to analyze radiology images and identify anomalies with precision.

Patient Care: Leverage AI for personalized treatment plans and efficient hospital management systems.

Predictive Analytics: Harness AI to predict disease outbreaks and optimize resource allocation.

Learn more about how AI is revolutionizing healthcare on UnifyCloud’s AI solutions page.

Retail

Retail businesses can enhance customer experiences and streamline operations through AI:

Personalized Shopping: Use AI to analyze customer behavior and provide tailored recommendations.

Demand Forecasting: Implement AI POCs to predict market trends and adjust inventory levels accordingly.

Sentiment Analysis: Employ AI-driven tools to gauge customer feedback and improve service quality.

Explore how AI empowers retail on CloudAtlas AI Factory.

Finance

AI is transforming the financial services industry with:

Fraud Detection: Develop AI POCs to identify and prevent fraudulent activities in real-time.

Credit Risk Management: Utilize AI to assess creditworthiness and minimize risks.

Banking Automation: Enhance operational efficiency with generative AI for routine tasks.

Discover UnifyCloud’s innovative AI Guardian tool for compliance and security at CloudAtlas AI Guardian.

Manufacturing

The manufacturing industry benefits from AI in numerous ways:

Predictive Maintenance: Avoid equipment downtime with AI-driven insights.

Supply Chain Optimization: Streamline logistics and reduce costs with AI-powered analytics.

Product Design: Utilize generative AI to create innovative product designs.

For more insights, visit UnifyCloud’s CloudAtlas AI platform.

Construction

AI is making significant inroads in the construction industry:

Project Management: Implement AI POCs to manage timelines and resources effectively.

Safety Monitoring: Use AI to ensure worker safety and compliance with regulations.

Smart Infrastructure: Plan and execute intelligent infrastructure projects with AI insights.

Energy

The energy sector can achieve sustainability goals with AI:

Renewable Energy Forecasting: Predict energy generation patterns to optimize usage.

Smart Grid Management: Enhance energy distribution with AI-driven analytics.

Sustainable Planning: Leverage generative AI for eco-friendly energy solutions.

Visit UnifyCloud’s CloudAtlas AI Factory to explore sustainable AI innovations.

Solution-Specific Capabilities

AI Development and Deployment

Model Training: Build and train robust AI models tailored to specific business needs.

Lifecycle Management: Manage AI models from development to deployment.

Generative AI Solutions: Create innovative content and workflows with advanced generative AI tools.

Learn how CloudAtlas AI simplifies AI development and deployment.

Data Analytics

Big Data Insights: Analyze vast datasets for actionable insights.

Predictive Analytics: Forecast trends and make data-driven decisions.

Visualization: Use generative AI for intuitive and impactful data visualizations.

Automation

Business Process Automation: Streamline operations with AI-powered automation tools.

Robotic Process Automation (RPA): Implement AI POCs for efficient task automation.

Workflow Optimization: Enhance productivity with intelligent automation solutions.

Sustainability and Customer Experience

Environmental Impact Assessments: Use AI to evaluate and minimize ecological footprints.

Personalized User Experiences: Leverage generative AI for tailored customer interactions.

Sentiment Analysis: Gauge customer feedback to refine services.

Why Choose UnifyCloud’s AI Factory

UnifyCloud’s AI Factory offers:

Comprehensive Solutions: From AI development to deployment, all under one roof.

Proven Expertise: Decades of experience in delivering AI-driven business innovations.

Customizable Tools: Tailored solutions to meet unique industry demands.

Cost Efficiency: Optimize your investments with AI Cost Optimize tools.

Discover the future of AI with UnifyCloud’s CloudAtlas AI Factory.

Conclusion

The AI Factory is more than a platform; it’s a gateway to innovation and growth. By integrating AI into your business, you can unlock new opportunities, drive efficiency, and stay ahead in a competitive market. With UnifyCloud’s comprehensive suite of AI solutions, the journey from concept to execution becomes seamless. Explore the limitless possibilities of AI with UnifyCloud’s AI Factory today.

Learn More About AI Factory from Azure Marketplace – AI Factory | AI Cost Optimize | AI Guardian

[jcmarchi]

The OpenAI Files: Ex-staff claim profit greed betraying AI safety

New Post has been published on https://thedigitalinsider.com/the-openai-files-ex-staff-claim-profit-greed-betraying-ai-safety/

The OpenAI Files: Ex-staff claim profit greed betraying AI safety

‘The OpenAI Files’ report, assembling voices of concerned ex-staff, claims the world’s most prominent AI lab is betraying safety for profit. What began as a noble quest to ensure AI would serve all of humanity is now teetering on the edge of becoming just another corporate giant, chasing immense profits while leaving safety and ethics in the dust.

At the core of it all is a plan to tear up the original rulebook. When OpenAI started, it made a crucial promise: it put a cap on how much money investors could make. It was a legal guarantee that if they succeeded in creating world-changing AI, the vast benefits would flow to humanity, not just a handful of billionaires. Now, that promise is on the verge of being erased, apparently to satisfy investors who want unlimited returns.

For the people who built OpenAI, this pivot away from AI safety feels like a profound betrayal. “The non-profit mission was a promise to do the right thing when the stakes got high,” says former staff member Carroll Wainwright. “Now that the stakes are high, the non-profit structure is being abandoned, which means the promise was ultimately empty.” 

Deepening crisis of trust

Many of these deeply worried voices point to one person: CEO Sam Altman. The concerns are not new. Reports suggest that even at his previous companies, senior colleagues tried to have him removed for what they called “deceptive and chaotic” behaviour.

That same feeling of mistrust followed him to OpenAI. The company’s own co-founder, Ilya Sutskever, who worked alongside Altman for years, and since launched his own startup, came to a chilling conclusion: “I don’t think Sam is the guy who should have the finger on the button for AGI.” He felt Altman was dishonest and created chaos, a terrifying combination for someone potentially in charge of our collective future.

Mira Murati, the former CTO, felt just as uneasy. “I don’t feel comfortable about Sam leading us to AGI,” she said. She described a toxic pattern where Altman would tell people what they wanted to hear and then undermine them if they got in his way. It suggests manipulation that former OpenAI board member Tasha McCauley says “should be unacceptable” when the AI safety stakes are this high.

This crisis of trust has had real-world consequences. Insiders say the culture at OpenAI has shifted, with the crucial work of AI safety taking a backseat to releasing “shiny products”. Jan Leike, who led the team responsible for long-term safety, said they were “sailing against the wind,” struggling to get the resources they needed to do their vital research.

Another former employee, William Saunders, even gave a terrifying testimony to the US Senate, revealing that for long periods, security was so weak that hundreds of engineers could have stolen the company’s most advanced AI, including GPT-4.

Desperate plea to prioritise AI safety at OpenAI

But those who’ve left aren’t just walking away. They’ve laid out a roadmap to pull OpenAI back from the brink, a last-ditch effort to save the original mission.

They’re calling for the company’s nonprofit heart to be given real power again, with an iron-clad veto over safety decisions. They’re demanding clear, honest leadership, which includes a new and thorough investigation into the conduct of Sam Altman.

They want real, independent oversight, so OpenAI can’t just mark its own homework on AI safety. And they are pleading for a culture where people can speak up about their concerns without fearing for their jobs or savings—a place with real protection for whistleblowers.

Finally, they are insisting that OpenAI stick to its original financial promise: the profit caps must stay. The goal must be public benefit, not unlimited private wealth.

This isn’t just about the internal drama at a Silicon Valley company. OpenAI is building a technology that could reshape our world in ways we can barely imagine. The question its former employees are forcing us all to ask is a simple but profound one: who do we trust to build our future?

As former board member Helen Toner warned from her own experience, “internal guardrails are fragile when money is on the line”.

Right now, the people who know OpenAI best are telling us those safety guardrails have all but broken.

See also: AI adoption matures but deployment hurdles remain

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[techifyservices]

Streamline Your Workflow with Automated Deployment

Simplify your software release process with our cutting-edge automated deployment solutions. Save time, reduce errors, and ensure seamless updates by automating the deployment pipeline from start to finish. Focus on innovation while we handle the heavy lifting.

[jatanshahskill]

Jatan Shah Reviews | It can also perform automation

It can also perform automation in several activities such as daily operations, sales and marketing, finance and administration. As Jatan Shah highlights, the essence of AI is not only in the squeeze of time – it is the deployment of an intelligent and effective mode of work.

[ramniwas-sangwan]

🏗️ Terraform on AWS – Infrastructure as Code Explained! 🏗️

[aarunresearcher]

United States marketing automation market size reached USD 19.1 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 53.8 Billion by 2033, exhibiting a growth rate (CAGR) of 12.2% during 2025-2033. The rising focus of marketers on strategic initiatives, creative campaigns, and more robust customer relationship management is primarily driving the market growth across the country.

[rajaniesh]

Optimizing Azure Container App Deployments: Best Practices for Pipelines & Security

🚀 Just shared a new blog on boosting Azure Container App deployments! Dive into best practices for Continuous Deployment, choosing the right agents, and securely managing variables. Perfect for making updates smoother and safer!

In the fifth part of our series, we explored how Continuous Deployment (CD) pipelines and revisions bring efficiency to Azure Container Apps. From quicker feature rollouts to minimal downtime, CD ensures that you’re not just deploying updates but doing it confidently. Now, let’s take it a step further by optimizing deployments using Azure Pipelines. In this part, we’ll dive into the nuts and…