Posts Tagged devops

Beyond Productivity: Developer Experience is Business Critical

Beyond Productivity: Developer Experience is Business Critical

“Developer experience is hard to sell,” said Cleve Littlefield, Engineering Manager at Pulumi, during a casual meeting. With experience as both an end-user developer and a lead in self-service platform implementation, Cleve’s observation stuck with me.

Though I have expertise in leading implementations and upgrades for internal platforms, none were specifically for developers. However, experience remains vital across departments, addressing tools, processes, systems, and best practices, aiming to reduce cognitive load, increase productivity, enhance collaboration, boost communication and much more.

Intriguingly, engineering teams may perceive its value differently. Therefore, we will dive into the concept of developer experience, aka DevEx, which, in truth, should translate into a competitive advantage.

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Future of the Cloud: 10 Trends Shaping 2024 and Beyond

Future of the Cloud: 10 Trends Shaping 2024 and Beyond

In 2024, several trends will dominate cloud computing, driving innovation, efficiency, and scalability. From Infrastructure as Code (IaC) to AI/ML, platform engineering to multi-cloud and hybrid strategies, and security practices, let’s explore the 10 biggest emerging trends.

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AI in DevOps | AI Talks for DevOps Overview

AI in DevOps | AI Talks for DevOps Overview

The integration of artificial intelligence (AI) with DevOps signals a new era in software development. DevOps possesses unique characteristics and needs that make it exceptionally compatible with AI augmentation. Given that code fundamentally relies on language, and large language models (LLMs) serve as the core of GPT functionality, these models are particularly well-suited for tasks such as code generation. This article unwraps the topics addressed during our “AI: Friends or Foe | AI Talks for DevOps” event in San Francisco.

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Unlocking the Benefits of LangChain AI for Dev, Sec and Ops

Unlocking the Benefits of LangChain AI for Dev, Sec and Ops

The emergence of DevOps revolutionized software development. Now, with AI powered tools like LangChain, these transformations are being accelerated. Unsurprisingly, our distinguished speaker at the launch of Pulumi’s in-person AI Talks, Patrick Debois, who coined the term “DevOps,” has recently tuned into LLM and GenAI Ops using the Langchain framework.

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Deploy AI Models on Amazon SageMaker using Pulumi Python IaC

Deploy AI Models on Amazon SageMaker using Pulumi Python IaC

Running models from Hugging Face on Amazon SageMaker is a popular deployment option for AI/ML services. While the SageMaker console allows for provisioning these cloud resources, this deployment pattern is labor intensive to document and vulnerable to human errors when reproducing as a regular operations practice. Infrastructure as Code (IaC) offers a reliable and easy to duplicate deployment practice. By developing this IaC with Pulumi, practitioners can choose to write their infrastructure code in Python and seamlessly develop both AI application code and IaC code in the same language.

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Self-service DevOps with AWS Proton and Pulumi

Self-service DevOps with AWS Proton and Pulumi

Self-service infrastructure is the holy grail of DevOps. When platform engineering teams can empower application teams to provision their own infrastructure without needing to understand the details of configuring networking, storage, and compute resources, IT organizations can drastically increase their ability to deliver on organizational goals. The first step in this process is to codify infrastructure best practices using platforms like Pulumi and the next step is to make these best practices available in a workflow that fits into the application team’s software development tools and process.

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Top 5 Things an Azure Developer Needs to Know: DevOps

Top 5 Things an Azure Developer Needs to Know: DevOps

What comes to mind when you hear DevOps? Frequently, DevOps is described as a cultural practice that enables an organization to deliver high-quality applications quickly. The DevOps model emphasizes the “breaking down of silos” and combining development and operations into a single team. Developing, deploying, and maintaining an application is the responsibility of both developers and operators across the application lifecycle.

DevOps processes rely on tooling to automate delivering and maintaining applications. This article demonstrates how to implement Azure Pipelines to build and deploy applications.

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Top 5 Things an Azure Developer Needs to Know: Introduction

Top 5 Things an Azure Developer Needs to Know: Introduction

The Azure cloud platform includes over 200 products and cloud services. Wherever you are in your Microsoft cloud engineering journey, you should be familiar with these top 5 cloud tasks that are essential building blocks commonly used to deploy applications and infrastructure to the Azure cloud.

In this series of articles, we’ll go in-depth on virtual machines, Azure Functions, static websites, building an Azure Kubernetes Service cluster and deploying applications on AKS, and DevOps with Azure App Service.

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