Embracing the New ParadigmFabric real-time data signals a fundamental shift in how organizations transform raw information into actionable insights. For decades, leaders have relied on batch processing as the primary method of collecting, updating and analyzing data at scheduled intervals. While this approach offered predictability, it introduced latency, making decisions feel historical rather than current. In contrast, fabric real-time data delivers continuous streams of information that empower teams to respond instantly to emerging trends, anomalies, and opportunities.The Limitations of Batch ProcessingBatch processing brings structure by grouping data tasks into discrete cycles, but it also imposes a trade-off between scale and…
Author: drweb
Odoo is the ideal open-source enterprise software for teams and businesses that value flexibility, data privacy, and affordability. Due to its vast array of productivity apps, one can simply build a unique CRM and ERP platform by choosing the right tools to meet their needs, whether it be project management, e-commerce, inventory management, email marketing or accounting. While installing and configuring Odoo on Linux doesn’t sound like a difficult task, searching for the desired apps for your job might be challenging. Besides the official Odoo apps, there are thousands of third-party productivity tools that can be integrated into the platform.…
When money moves online, speed and trust become the currency. A payment system that hesitates, breaks, or leaks data is one users won’t return to. This is where Python proves its worth, not by flashy features, but by letting developers stitch together fast, stable, and airtight workflows that actually work under pressure.Why Real-Time Payment Systems Shape the ExperienceWhen transactions are delayed, people feel it. That spinning icon, that pending status, that extra wait for confirmation, it all adds up to frustration. Payment isn’t just about the money leaving an account. It’s about timing, trust, and momentum. Nowhere is this balance more…
HoundDog.ai today made generally available a namesake static code scanner that enables security and privacy teams to enforce guardrails on sensitive data embedded in large language model (LLM) prompts or exposed artificial intelligence (AI) data sinks, such as logs and temporary files, before any code is pushed to production.Company CEO Amjad Afanah said the HoundDog.ai scanner enables DevSecOps teams to embrace a privacy-by-design approach to building applications. The overall goal is to enable organizations to shift more responsibility for privacy left toward application development teams as code is being written, he added.Since its initial availability last year, HoundDog.ai has already…
Enterprise development teams have faced an impossible choice: move fast with cutting-edge AI coding tools or maintain the security and governance standards their organizations demand. Today, that tradeoff no longer exists.Anthropic has announced that Claude Code, their powerful AI coding agent, is now bundled with Team and Enterprise plans—addressing what the company calls “the most requested feature from our biggest customers.” This integration represents a fundamental shift in how organizations can deploy AI development tools at scale while maintaining enterprise-grade security, compliance, and administrative control.Breaking Down the Innovation-Governance BarrierThe challenge facing enterprise development teams isn’t new. Individual developers have access…
Nick Durkin, Field CTO at Harness, explains why as artificial intelligence (AI) tools are relied on more to create code, it’s now only a matter of time before bottlenecks in existing DevOps workflows become exacerbated to the point where they need to be re-engineered.Durkin noted that while AI is generating more code, organizations are not necessarily moving faster. In fact, industry reports show a slight slowdown, along with an uptick in bugs. The challenge, he said, lies in making it easier for engineers to do the right thing while putting guardrails in place to prevent errors, regardless of whether the…
I want to talk about a fairly new product that you may not be aware of: Azure IoT Operations, which GA’d last November (it was first announced at Ignite in November 2023). Here is an excellent short video showing it in action (note: watching it may make you hungry).Think of Azure IoT Operations as the control center for your digital operations at the edge. It sits directly alongside your machines and sensors—on the factory floor, in warehouses, or across distributed sites—and ensures that data from these environments flows smoothly into the cloud. Built on modern, scalable infrastructure, it connects operational…
SRE.ai this week revealed plans to build a DevOps platform for deploying custom software across multiple software-as-a-service (SaaS) application platforms.Fresh off raising $7.2 million in funding, SRE.ai CEO Raj Kadiyala said as the volume of code developed using low-code/no-code and, more recently, artificial intelligence (AI) tools increases, there needs to be a more automated approach to deploying that software based on best DevOps processes that also enables software development teams to monitor and observe those applications.At the core of that effort is a platform that will leverage artificial intelligence (AI) technologies to automate the deployment of these applications that are…
Loreli Cadapan, VP of product at CloudBees, discusses how the Model Context Protocol (MCP) developed by Anthropic will provide the foundation for reinventing DevOps workflows.Cadapan explains that MCP acts as a bridge between large language models and enterprise DevOps environments, functioning as a kind of control plane. It can connect with different CI/CD tools and testing frameworks, pull in real-time data on pipelines and vulnerabilities, and even orchestrate tasks across the software delivery lifecycle. By reducing context switching and integrating with existing developer tools, MCP is designed to improve both productivity and governance.She compared MCP servers to factory floor managers—directing…
When I first read the recent article from CISA titled “Tackling the National Gap in Software Understanding,” I had the same reaction I imagine many of you did: Well, of course this is necessary. Who in their right mind doesn’t want better visibility into the software used in our most mission-critical systems?But then I thought a bit more. It’s not just necessary—it’s overdue. And not only for national security systems. This gap in software understanding exists across nearly every enterprise and agency in the public and private sector. The real challenge is not recognizing the problem. It’s addressing it early,…