cloudcomputing
By Simon Bisson Both extremely promising and extremely risky, generative AI has distinct failure modes that we need to defend against to protect our users and our code. We’ve all seen the news, where chatbots are encouraged to be insulting or racist, or large language models (LLMs) are exploited for malicious purposes, and where outputs are at best fanciful and at worst dangerous. None of this is particularly surprising. It’s possible to craft complex prompts that force undesired outputs, pushing the input window past the guidelines and guardrails we’re using. At the same time, we can see outp...
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By David Linthicum The recent discourse around the security of cloud computing in the banking sector, highlighted by Nicholas Fearn’s piece in the Financial Times, paints a somewhat grim picture of the cybersecurity landscape when it comes to banks moving to cloud computing. Not to pick on just this article, but I’ve seen this as a trend in the past few years, as the value of cloud computing has been called into question more and more. This is a change from just a few years ago when it was verboten to criticize “the cloud.” What happened between then and now? Enterprises saw the weaknesses of ...
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By Prince Mahajan When we set out to rebuild the engine at the heart of our managed Apache Kafka service, we knew we needed to address several unique requirements that characterize successful cloud-native platforms. These systems must be multi-tenant from the ground up, scale easily to serve thousands of customers, and be managed largely by data-driven software rather than human operators. They should also provide strong isolation and security across customers with unpredictable workloads, in an environment in which engineers can continue to innovate rapidly. We presented our Kafka engine rede...
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By David Linthicum As a seasoned advocate and expert in cloud computing and generative AI, I’ve observed the immense transformative potential these technologies offer. Yet, we’re doing things just as stupidly as we did in the early days of cloud computing. If you have not noticed lately, enterprises are running around in circles to fix mistakes they made 10 years ago in migrating and building new cloud-based systems. Repatriation is shorthand for “whoops!” The lack of planning and understanding has led to huge bills that nobody expected, and CIOs are attempting to mitigate. This means instead ...
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By Simon Bisson How do we ensure that the code we’re installing is, at the very least, the code that a vendor shipped? The generally accepted solution is code signing, adding a digital signature to binaries that can be used to ensure authorship. At the same time, the signature includes a hash that can be used to show that the code you’ve received hasn’t been altered after it’s been signed. Code signing is increasingly important as part of ensuring software bills of materials and reducing the risks associated with malware hijacking legitimate binaries. Signing is necessary if you’re planning on...
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By David Linthicum In its latest The State of Cloud Cost in 2024 report, CloudZero illuminates the serious implications of cloud cost management and its effect on business stability and job security. The conclusions are interesting. CloudZero’s survey, which drew insights from 1,000 finance and engineering professionals, underscored a crucial element in cloud cost management: the pivotal role of engineering teams. These are not just the “nerds” who operate the technology but key players who can significantly influence cost outcomes. According to the survey, 81% of respondents indicated that cl...
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By Martin Heller At the end of March 2024, Mike Stonebraker announced in a blog post the release of DBOS Cloud, “a transactional serverless computing platform, made possible by a revolutionary new operating system, DBOS, that implements OS services on top of a distributed database.” That sounds odd, to put it mildly, but it makes more sense when you read the origin story: The idea for DBOS (DataBase oriented Operating System) originated 3 years ago with my realization that the state an operating system must maintain (files, processes, threads, messages, etc.) has increased in size by about 6 o...
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By David Linthicum Back in the early days of the cloud, I had a nice little business taking enterprise applications and reengineering them so they could be delivered as software-as-a-service cloud assets. Many enterprises believed that their custom application, which provided value by addressing a niche need, could be resold as a SaaS service and become another source of income. I saw a tire company, a healthcare company, a bank, and even a bail-bond management company attempt to become cloud players before infrastructure as a service was a thing. Sometimes it worked out. The key hindrance was...
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By Matt Butcher Buzz is building around the idea that it’s time to claw back our cloud services and once more rebuild the company data center. Repatriation. It’s the act of moving work out of cloud and back to on-premises or self-managed hardware. And the primary justification for this movement is straightforward, especially in a time of economic downturn. Save money by not using AWS, Azure, or the other cloud hosting services. Save money by building and managing your own infrastructure. Since an Andreesen Horowitz post catapulted this idea into the spotlight a couple of years ago, it seems to...
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By David Linthicum As I’ve been saying for the past year or so, cloud conferences have become generative AI conferences, as have data center conferences, databases conferences, and you name it. It’s clearly more than just a trend—it’s a game-changing push. But we’ve seen this happen enough times in the past 30 years to know nothing is guaranteed to be a true trend. Remember “push technology?” Exactly. As enterprises rush headlong into generative AI, selecting an appropriate infrastructure is critical for optimal performance and cost-effectiveness. Comparing cloud computing and traditional on-p...
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