• Chaos Engineering: Planning Your First Chaos Experiment

    Chaos Engineering: Planning Your First Chaos Experiment

    When it comes to quality assurance (QA) testing distributed software systems, the simple fact of the matter is no amount of preproduction QA testing can unearth all the possible scenarios and failures that may crop up in your real production deployment. And here’s another fact: failures in production are inevitable – network failures, infrastructure failures,
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  • Chaos Engineering: Building a Business Case for Chaos

    Chaos Engineering: Building a Business Case for Chaos

    Resilience. Today’s distributed software systems need more of it. Unstable applications and fragile architectures lead to outages – and outages cost companies big bucks. As John Allspaw, Co-Founder of Adaptive Capacity Labs, puts it: “‘Resilience’ is the story of the outage that DIDN’T happen.” Chaos engineering, which involves conducting thoughtfully-planned failure injection experiments to teach
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  • Chaos Engineering – A Complete Introduction

    Chaos Engineering – A Complete Introduction

    Welcome to chaos engineering where failure is instructive… Mistakes have the power to turn a creation into something better than it was before… Experience is simply the name we give to our past errors… We all know the sayings, and we’ve all heard the clichés – but clichés only become clichés when they are true.
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  • How AI Is Changing the Cybersecurity Landscape

    How AI Is Changing the Cybersecurity Landscape

    Artificial intelligence (AI) is proving to be one of the most influential and game-changing technology advancements in the business world. As more and more enterprises go digital, companies all over the globe are constantly engineering new ways to implement AI-based functions into practically every platform and software tool at their disposal. As a natural consequence,
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  • 5 AI Predications for 2019

    5 AI Predications for 2019

    2018 was another year of artificial intelligence (AI) mania, with machine learning and deep learning in particular hogging the headlines and grabbing the attentions of developers, businesses, commentators and consumers alike. And we shouldn’t expect the hype to die down any time soon. One day, of course, AI will become just another commonplace technology in
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  • 3 Biggest Challenges for Data Integration

    3 Biggest Challenges for Data Integration

    Developing a big data strategy is a far from simple task – but it’s one that needs to be completed sooner rather than later if you want to remain competitive in the coming years. Over time, companies have collected and compiled a huge volume of data. From the very first moment they started recording transactional
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  • Is Blockchain the Missing Link in Securing Internet of Things?

    Is Blockchain the Missing Link in Securing Internet of Things?

    Big question marks still hang over Internet of Things (IoT) security. Ever since the unprecedented Distributed Denial of Service (DDoS) attack – the Mirai botnet – that compromised as many as 100,000 connected devices in 2016, nearly bringing the internet to its knees in the process, IoT security has remained a huge concern for businesses
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  • Automation and the resurgence of soft skills

    Automation and the resurgence of soft skills

    We’re entering a new era for the workplace. With the rise of automation software and its increasingly advanced capabilities, the way we work is evolving before us. But how exactly do future human workers fit into the automated workplace? The robotic rise is driving, perhaps conversely, a demand for humanity. As automation grows capable of
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