In today’s cloud-native world, the race isn’t just about how fast you ship software — it is about how confidently you do it. For teams in highly regulated industries, speed without control is a liability. Compliance isn’t optional, but traditional approaches — manual reviews, static audits and post-deployment checks — are fundamentally at odds with modern DevOps workflows. Enter continuous compliance: A shift-left, automation-first approach that integrates security and regulatory controls directly into continuous integration and continuous deployment (CI/CD) pipelines. Rather than bolting on compliance after the fact, teams can now build it into every pull request, infrastructure change and deployment…
Author: drweb
Integrating artificial intelligence (AI) onto legacy software is like trying to get an old flip phone to run the latest augmented reality (AR) apps. Yet, enterprises continue to take this approach, in the process encountering compatibility issues, sluggish performance and AI behavior which deviates from expectations. We live in an AI-centric age, where organizations have AI integrated into at least one business function. Statista reports that global AI adoption soared to 72% in 2024 from 55% in 2023. Hence, it is no secret that AI is quickly becoming a mainstream business tool instead of remaining an emerging trend. However, Boston Consulting…
Datadog is expanding the scope of its DevOps portfolio following a pair of acquisitions that add feature flagging and data observability capabilities to its portfolio of services.At the same time, the company also launched a pair of open source projects through which Datadog is providing access to an open-weights AI model, dubbed Toto, specifically trained using time-series data in a way that makes it possible to instantly detect anomalies and capacity planning issues and BOOM, a time-series benchmark that provides access to 350 million observations across 2,807 real-world multivariate methods to capture the scale, sparsity, spikes and cold-start issues that…
DevOps has transformed how developers build, deploy, and manage infrastructure and applications, making automation, scalability and rapid iteration core to modern development workflows. While much of the software delivery process has evolved, authorization has largely remained stuck in legacy approaches. Many organizations still manage homegrown solutions with hardcoded permissions across services, custom policies by different teams, and manual updates as access needs shift. These approaches may work initially, but they do not scale properly. As teams adopt microservices, APIs and multi-cloud architectures, fragmented authorization systems become a liability. Each policy change demands manual effort across teams and services, slowing development, increasing the risk of…
Java is 30. If that makes you feel old, cheer up. Remember how groundbreaking and appealing the Java software language and platform has been over the years, think about how it has helped nurture a huge proportion of enterprise open source development (not to mention how it has essentially underpinned the web itself) and – if you’re still feeling bad about all the years having flown past, remind yourself that Java might be 30, but Britney Spears is 43.Software engineers respect Java for its longevity, its ability to maintain release momentum for so many years (a factor which has enabled…
SciPy is a free Python library for scientific and technical computing that provides tools for mathematics, science, and engineering. It’s built on NumPy and offers high-level functions for optimization, statistics, signal processing, and more.Put simply, SciPy is like a Swiss Army knife for scientists and engineers working with Python. It solves complex mathematical problems with just a few lines of code.Why Use SciPy Instead of Writing Your Own Code?The biggest advantages of SciPy are speed and reliability.SciPy functions are optimized and written in C/Fortran, making them much faster than pure Python. All functions are tested by thousands of users and…
So, you want to get your SQL skills razor-sharp without dropping any cash? You’re in the right place. I’ve pulled together a list of the absolute best free SQL practice resources. These will get you writing queries, cracking real-world data puzzles, and generally leveling up your database prowess – whether you’re just starting out or you’re already pretty handy with SQL.Nailing SQL is non-negotiable if your work involves data. But let’s be honest, practicing effectively can be a real headache, especially if you don’t have a database handy. Good news: there’s a heap of free SQL practice resources out there…
Your journey to making a significant impact in the web development world starts right here, at the threshold of exciting opportunities. Zeek isn’t just about jobs – it’s about building careers that flourish, ideas that ignite, and innovations that transform. If you’re ready to bring your expertise to a team where your skills will be celebrated and challenged, where your professional growth is a top priority, and where every day brings a new adventure in technology, then we invite you to step through Zeek’s door. Embrace the chance to work on groundbreaking projects, to learn from the best, and to…
The simplest method is using pip. Open your terminal or command prompt and run:This installs the latest version (1.15.3 as of May 2025) and works on Windows, Mac, and Linux. The installation typically takes 2-3 minutes and includes all necessary dependencies.If you get permission errors, try:What Python Version Do You Need for SciPy?SciPy requires Python 3.10 or higher. If you’re using an older Python version, you’ll need to upgrade Python first. Check your version with:Most modern systems come with compatible Python versions, but older systems may need updates.How to Install SciPy Using CondaConda is recommended for scientific computing environments. If…
The evolution of enterprise software architecture has brought microservices to the forefront of modern development practices. Although a microservices architecture offers agility and scalability, it often introduces new complexity that can become overwhelming if left unchecked. In speaking with customers about their distributed architectures, I’ve seen complexity emerge in various ways as their distributed systems have evolved over the years. This complexity naturally builds up in homegrown applications – even those with only 20-30 services. Another common challenge I’ve encountered is when organizations acquire systems with microservices-based architectures. Teams often lack clarity on service interactions and dependencies, especially when key employees…