Today we break down another exciting edition of Founders and Friends, the podcast we’ve created to hold conversations with visionary leaders shaping the tech industry. Today’s conversation features Paul Stovell, co-founder and CEO of Octopus Deploy, and of course, JD Trask, co-founder and CEO of Raygun. Together, they explore the realities of running software businesses, from the evolving nature of agile practices to scaling software teams efficiently. What’s in this article.

Every business today understands the imperative to operate sustainably. We’re seeing green initiatives in offices, supply chains, and manufacturing processes. But what about the digital realm? The internet, and by extension your website, has a surprisingly significant carbon footprint—powered by energy-hungry data centers around the globe. This presents both a challenge and a remarkable opportunity for businesses relying on their online presence.

We have exciting news for our iOS application users!* You can now access your critical app performance data right from the Control Center of your iPhone! We know how hard it is to keep up with a dynamic IT infrastructure in real time. It gets even harder when you have to fire up your PC every time you want to take a look at the performance of your business-critical applications.

Many Python developers choose MongoDB for its speed, flexibility, and scalability. This NoSQL database adapts to different types of data, letting you build features regardless of data structure complexity. It’s a natural choice for applications that have to store lots of different information, handle constant changes, or manage large volumes of data. From this tutorial, you’ll learn how to connect MongoDB using Python Connector from Devart to create, read, update, and delete data.

Looking for simple ways to connect an SQL Server Linked Server to different data sources, such as an external database, its table, or a particular object in MySQL Server? The Linked Server configuration allows you to query data and use DML functions to access these external sources directly within SQL Server Management Studio (SSMS). With such a configuration, you are no longer required to move or duplicate data between different database systems to overcome OS barriers and complexities.

To ensure progress towards this ideal state, OKRs (objectives and key results) are often used to create tangible goalposts along the way. For engineering teams, these objectives often take two forms: But all of these programs involve moving from one state to another. As simple as that sounds, the act of doing so, successfully, has become incredibly challenging. Just understanding current state requires a ton of manual effort: Who owns what? What needs to change? Who’s going to do it?

The UK government’s recently announced AI Opportunities Action Plan marks an ambitious step forward in harnessing artificial intelligence to drive economic growth and societal progress. As the CEO of Civo, a UK-founded company committed to reimagining the cloud with sustainability, innovation, and sovereignty at its core, I welcome this bold vision.

Has this ever happened in your workplace? A key application goes offline during peak working hours, or worse, when a client is evaluating your business, leaving network administrators scrambling to identify the cause. Could it be a misconfigured switch, an unauthorized change to a router, or undocumented configuration drift? Without proper network configuration management, your organization is losing more than just uptime—it’s losing money, reputation, and agility.

The Software Development Lifecycle (SDLC) is a methodology that provides a structured process for developing high-quality software in a timely and cost-effective manner. The SDLC outlines software development as a series of tasks, creating a management framework focused on efficiency and quality. Software development is a tightly interwoven process that balances costs, deadlines, and capabilities.

All machinery and equipment, including their controls and sensors, tell a story through the data they collect. This data, or Industrial Internet of Things (IIoT) data, provides a detailed narrative about the machines, offering actionable insights to improve operations. IIoT data empowers businesses to optimize and enhance industrial processes by detailing operational status, performance metrics, usage patterns, health diagnostics, and environmental conditions.