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8 questions to answer before your startup faces technicalduediligence. Previously, the author offered a detailed overview of the technicalduediligence (TDD) process investors conduct before injecting cash into early stage startups. Code quality. Which software languages do you use?
IT leaders know they must eventually deal with technical debt, but because addressing it doesnt always directly result in increased revenue or new capabilities, it can be difficult to get business management to take it seriously. Add outdated components or frameworks to the mix, and the difficulty to maintain the code compounds.
He focuses primarily on investments in software and technology-enabled business services. It feels like almost any company is a tech company in one way or another these days. They often outsource this critical work to a consultant for more of a high-level overview, because technicaldiligence is often a blind spot for investors.
Many CEOs of software-enabled businesses call us with a similar concern: Are we getting the right results from our software team? Most innovators don’t have a technical background, so it’s hard to evaluate the truth of the situation. The explanation from software leadership is often unsatisfying or unclear.
In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns. These include everything from technical design to ecosystem management and navigating emerging technology trends like AI.
Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform. The stakes have never been higher.
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Ensure security and access controls.
From obscurity to ubiquity, the rise of large language models (LLMs) is a testament to rapid technological advancement. Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. Let’s review a case study and see how we can start to realize benefits now.
To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.
What is technical debt? Technical debt is the cost accrued over time from technology implementation decisions that emphasize expediency over long-term quality and maintenance. Every minute spent on code that is not quite right for the programming task of the moment counts as interest on that debt.
Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. While useful, these tools offer diminishing value due to a lack of innovation or differentiation. This will fundamentally change both UI design and the way software is used.
Last summer, a faulty CrowdStrike software update took down millions of computers, caused billions in damages, and underscored that companies are still not able to manage third-party risks, or respond quickly and efficiently to disruptions. Its worth doing that extra step of diligence because it can save you problems down the road, she says.
Identifying high-potential talent in tech hiring is one of the most critical challenges organizations face today. With rapid advancements in technology, the demand for skilled, adaptable professionals has never been greater. For instance, a skilled developer might not just debug code but also optimize it to improve system performance.
However, in todays era of rapid technological advancement and societal shifts, especially over the past five years, relying solely on traditional approaches is no longer enough to stay competitive. Ultimately, AI should be treated not as a standalone tech initiative but as a core business capability that drives value and impact.
Traditionally, the main benefit that generative AI technology offered DevOps teams was the ability to produce things, such as code, quickly and automatically. MCP makes it possible to integrate AI into a wide variety of common DevOps workflows that extend beyond familiar use cases like code generation.
I recently finished Effective Software Testing – A Developer’s Guide by Maurício Aniche , and I really liked it. I have been coding for a long time and I think I have been writing pretty good tests for the features I have implemented. The book apparently grew out of lecture notes from a course on software testing.
Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Forrester said most technology executives expect their IT budgets to increase in 2025. Others won’t — and will come up against the limits of quick fixes.”
Many CEOs want to keep up with the market, including making the most of major IT advancements , while many CIOs may be focused on “keeping the lights on” by ensuring the organization’s existing technology is available and secure, says Edward Kipp, CIO at SDI Presence, an IT consulting and managed services provider.
By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices. This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process.
Verisk (Nasdaq: VRSK) is a leading strategic data analytics and technology partner to the global insurance industry, empowering clients to strengthen operating efficiency, improve underwriting and claims outcomes, combat fraud, and make informed decisions about global risks. The following diagram illustrates the solution architecture.
In the competitive world of hiring, particularly in tech, recruitment is no longer just about finding candidates with the right technical expertise. For tech teams tasked with solving complex problems, interpersonal skills ensure smoother collaboration, innovation, and productivity. Why interpersonal skills matter in tech hiring ?
Amazon maintains the flexibility for model customization while simplifying the process, making it straightforward for developers to use cutting-edge generative AI technologies in their applications. For this post, we run the code in a Jupyter notebook within VS Code and use Python.
Technical debt is a growing problem that businesses can’t ignore. Also known as code debt, it’s the accumulation of legacy systems and applications that are difficult to maintain and support, as well as poorly written or hastily implemented code that increases risk over time.
Agentic AI systems require more sophisticated monitoring, security, and governance mechanisms due to their autonomous nature and complex decision-making processes. Durvasula also notes that the real-time workloads of agentic AI might also suffer from delays due to cloud network latency. IT employees? Not so much.
Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. Developers need code assistants that understand the nuances of AWS services and best practices.
Increasingly, however, CIOs are reviewing and rationalizing those investments. As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises. Are they truly enhancing productivity and reducing costs? That said, 2025 is not just about repatriation. Judes Perry.
Technology When joining, require a 6-18 months rewrite of core systems. Leverage any production issue as a reason to “pull the brakes” Introduce very complex processes for code change and common workflows. Disallow anything outside the scope of the original task, such as code cleanup or other drive-by improvements.
The implications for cloud adoption are profound, as businesses increasingly rely on these technologies to drive digital transformation, optimize operations and gain competitive advantages. The result was a compromised availability architecture. A more compelling driver like addressing climate change is needed.
Learn more about the key differences between scale-ups and start-ups Why You Need a Framework for Scaling a Business Many businesses fail not because of poor products or insufficient market demand, but due to ineffective management of rapid growth. Scaling challenges can overwhelm even promising startups without a systematic approach.
They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE.
This is where Delta Lakehouse architecture truly shines. Approach Sid Dixit Implementing lakehouse architecture is a three-phase journey, with each stage demanding dedicated focus and independent treatment. Step 2: Transformation (using ELT and Medallion Architecture ) Bronze layer: Keep it raw.
Currently there is a lot of focus on the engineers that can produce code easier and faster using GitHub Copilot. Eventually this path leads to disappointment: either the code does not work as hoped, or there was crucial information missing and the AI took a wrong turn somewhere. Use what works for your application.
Region Evacuation with DNS Approach: Our third post discussed deploying web server infrastructure across multiple regions and reviewed the DNS regional evacuation approach using AWS Route 53. In the following sections we will review this step-by-step region evacuation example. HTTP Response code: 200. Explore the details here.
Infrastructure as code (IaC) has been gaining wider adoption among DevOps teams in recent years, but the complexities of data center configuration and management continue to create problems — and opportunities. IaC can be used for any type of cloud workload or architecture, but it is a necessity for anyone building on the modern cloud.
Magic, a startup developing a code-generating platform similar to GitHub’s Copilot , today announced that it raised $23 million in a Series A funding round led by Alphabet’s CapitalG with participation from Elad Gil, Nat Friedman and Amplify Partners. So what’s its story?
Waghmar, who has a background in the travel industry founding and leading digital travel company WTMC, told TechCrunch that scaling in the industry was difficult due to it being “highly broken and highly fragmented.”. Where top VCs are investing in travel, tourism and hospitality tech.
The company wanted to leverage all the benefits the cloud could bring, get out of the business of managing hardware and software, and not have to deal with all the complexities around security, he says. Think surgical vs. brute force, and ground decisions as much on growth and strategy as on tech stack considerations,” he says.
Customer reviews can reveal customer experiences with a product and serve as an invaluable source of information to the product teams. By continually monitoring these reviews over time, businesses can recognize changes in customer perceptions and uncover areas of improvement.
This rapid adoption, while driving innovation, has also led to overloaded IT architectures that are fast and automated but often fragile and complex. As Robert Blumofe, chief technology officer at Akamai Technologies, told The Wall Street Journal recently, “The goal is not to solve the business problem. The goal is to adopt AI.”
Key considerations for cloud strategy and modernization The what: The executive leadership team of business and IT together need to evaluate business needs and their current business challenges, global footprint and current technology landscape and define the companys Northstar, (aka, the what, the vision).
FloQasts software (created by accountants, for accountants) brings AI and automation innovation into everyday accounting workflows. Consider this: when you sign in to a software system, a log is recorded to make sure theres an accurate record of activityessential for accountability and security.
Most companies have transitioned to become more software-centric, and with this transformation, application programming interfaces (APIs) have proliferated. But APIs do more than support next-generation technologies — they already serve a foundational purpose within most enterprises.
With digital operating models altering business processes and the IT landscape, enterprise architecture (EA) — a rigid stalwart of IT — has shown signs of evolving as well. It’s a stark contrast from a decade ago when it was thought the sector would generate just $10 million in revenue because the tools were too complicated.
Pretty much all the practitioners I favor in SoftwareArchitecture are deeply suspicious of any kind of general law in the field. Good softwarearchitecture is very context-specific, analyzing trade-offs that resolve differently across a wide range of environments. I made my first architectural decision” he told me.
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