Pushkar Sharan’s Post

AI is revolutionizing software development by streamlining workflows by automating important processes like security checks and code reviews. Imagine using AI to ensure solid software quality, increase productivity, and find code bugs and vulnerabilities early on. Through the use of AI into CI/CD pipelines, we can improve security without impeding development. Let's talk about how software engineering is being changed by AI. How will AI affect your development processes, in your opinion? Together, let's invent! 🚀 #Innovation #DevOps #SoftwareEngineering #AI

In an era where technology evolves at breakneck speed, AI stands at the forefront, pioneering a revolution in software engineering. From revolutionizing mundane tasks with smart automation to enhancing security protocols, AI is not just an add-on but the backbone of future software development.   See how AI-accelerated innovation is pushing boundaries with predictive analytics, machine learning, and AI-driven DevOps, promising a landscape where software is more intuitive, efficient, and aligned with our ever-changing digital needs.   Whether you're a developer, a tech enthusiast, or curious about the future of technology, Read here: https://lnkd.in/g6X_dF5k  to understand how AI is redefining the very essence of software development. #TechInsights #AIinnovation #SoftwareEngineering #AIdevelopment 

Given two companies: A Great product. It also solves some daily clients' use cases, their engineering culture may not be the best. CI/CD may be broken, not the best architecture used, and high cost by hosting their own AI model. B Super engineering culture. Top-notch security, all sorts of automation, using the latest best practices. But the product isn't very thrilling, and you, as a regular consumer, can't really use it. It's more like an enterprise toolkit. Which one would you prefer and why? #devops #discussion #cicdpipelines #ai

Explore the latest trends shaping DevOps in 2024. AI and machine learning are transforming automation, making tasks like code reviews and security analysis more efficient. DevSecOps is integrating security throughout the development lifecycle, while serverless architecture speeds up development cycles by letting developers focus on code. Multi-cloud strategies enhance flexibility and disaster recovery. Edge computing is increasing the accessibility of DevOps tools. Finally, fostering a collaborative culture with clear communication and teamwork is essential.    Stay ahead with these insights! 🚀💡    #DevOps #techtrends #Innovation #AI #security #collaboration  

We asked you to vote on the most important emerging technology in #DevOps this year. 👩💻 More than half of you went for 'Integration of AI services'. It's clear that AI-driven automation, analytics, and decision-making capabilities are changing the way we can build, test, deploy, and monitor software applications. #AI #PollResults #TechTalk #Developer

Models are how we make sense of complex situations. All models are wrong, but some are useful. In case you were wondering of a structured view of the #DevOps or #DevSecOps space, here's a model that's certainly beautiful: 👉 Digital.ai: DevSecOps Tools Periodic Table - https://lnkd.in/eJmCeVC3 Like other models (such as the recently mentioned API landscape by apidays and Platformable) it is based on a categorization of tools and then groups tools into these categories. There are 400 tools listed, and categorization is done through voting. Maybe this model isn't perfect, but you may still find it interesting, informative, or it may even be able to change your own mental model a little bit... #api #apimanagement #gettingapistowork #devopsculture #digitaltransformation #devopsengineer #devopstools

Are you ready to revolutionize your AI workflows? Today, MLOps is revolutionizing the way we deploy and manage machine learning models in production by bringing automation, scalability, and reproducibility to the entire ML lifecycle. Why does MLOps matter? 🛩Time to market 📝 Regulatory compliance and governance 🤝 Collaboration and knowledge sharing 🤹♂️ Rapid iteration and continuous improvement Let's combine the principles from DevOps with machine learning workflows for seamless integration, robust monitoring, and continuous improvement. #MLOps #AI #MachineLearning #DevOps #Automation #Innovation

Discover how #AI is revolutionizing software development and operations in our latest #blog Dive into the future of #DevOps, where artificial intelligence enhances efficiency, boosts productivity, and drives innovation. 💡✨ 👉 Read the full blog here: https://rb.gy/4kzl0i #AI #DevOps #TechInnovation #SoftwareDevelopment #FutureOfWork #DigitalTransformation #AIinDevOps #CoffeeBeans

Embrace the future of software delivery with AI! 🚀 Explore the three game-changing scenarios that #AI contributes to #DevOps: 1️⃣ Predicting Delays: Proactively identify potential delays, ensuring a smoother flow. 2️⃣ Predicting Risks: Identify software change failure risks with "Change Credit Score" and flag critical ones. 3️⃣ Leveraging Solution Patterns: Explore #ML models that predict incidents and their causes to recover faster from unexpected application failures Ready to revolutionize your DevOps journey? Dive into the full blog for insights and strategies: https://bit.ly/48W2Qgl

Generative AI isn't just about automating tasks. It's about revolutionizing the entire development process. By seamlessly integrating AI into your workflows, you can accelerate code generation, fortify security measures, optimize CI/CD pipelines, and supercharge test automation. From automating repetitive coding tasks with platforms like GitHub Copilot to enhancing security analysis and predicting potential failures, AI empowers you to streamline processes, boost productivity, and deliver high-quality products faster than ever before. Discover how AI can transform your DevOps practices and propel your organization into the future in this article 👉🏼 https://lnkd.in/ep8KGtna #AI #DevOps #Automation #Innovation #Transformation #BounteousxA