cloudcomputing
By David Linthicum It’s Monday. You come into the office only to be met with a dozen emails from your system development teammates requesting to speak with you right away. It seems that the generative AI-enabled inventory management system you launched a week ago is frustrating its new users. It’s taking minutes, not seconds to respond. Shipments are now running late. Customers are hanging up on your service reps because they are taking too long to answer customer questions. Website sales are down by 20% due to performance lags. Whoops. You have a performance problem. But you did everything ri...
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By Isaac Sacolick I once transitioned from a SaaS CTO role to become a business unit CIO at a Fortune 100 enterprise that aimed to bring startup development processes, technology, and culture into the organization. The executives recognized the importance of developing customer-facing applications, game-changing analytics capabilities, and more automated workflows. Let’s just say my team and I did a lot of teaching on agile development and nimble architectures. But we also had a lot to learn about deploying highly reliable, performant, and secure applications to our data centers. This was all ...
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By David Linthicum According to Forrester’s Infrastructure Cloud Survey in 2023, 79% of about 1,300 enterprise cloud decision-makers surveyed said their organizations are implementing private clouds. Additionally, IDC forecasts that global spending on private, dedicated cloud services, including hosted private clouds, will hit $20.4 billion in 2024 and will at least double by 2027. In addition, global spending on enterprise private cloud infrastructure, including hardware, software, and support services, will be $51.8 billion in 2024 and grow to $66.4 billion in 2027, according to IDC. Of cour...
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By Simon Bisson Some time ago I wrote about the work Microsoft was doing to improve the Azure APIs. That project delivered a set of automatically generated API definitions and SDKs, making it easier to link your applications to the cloud and to manage Azure services using code. Behind the scenes was a new language Microsoft developed called CADL, the Concise API Design Language. Building on concepts from both TypeScript and Bicep, CADL allowed you to define and describe APIs in a way that made it easy to use code to define API operations and then compile the result as an OpenAPI definition. It...
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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 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 most IT people know, GPUs are in high demand and are critical for running and training generative AI models. The alternative cloud sector, also known as microclouds, is experiencing a significant surge. Businesses such as CoreWeave, Lambda Labs, Voltage Park, and Together AI are at the forefront of this movement. CoreWeave, which started as a cryptocurrency mining venture, has become a major provider of GPU infrastructure. This shift illustrates a broader trend in which companies are increasingly relying on cloud-hosted GPU services, mainly due to the high cost and techni...
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By David Linthicum The Big Three cloud providers, AWS, Microsoft, and Google, are going like gangbusters. The most likely reason is two letters: AI. The first quarter of 2024 saw the strongest growth since the third quarter of 2022. Enterprise spending on cloud infrastructure services topped $76 billion during Q1 2024, up by $13.5 billion (a 21% increase) compared with Q1 of 2023. The Big Three cloud providers now account for 67% of global cloud spending. Amazon still retains its lead at 31%, but its share is shrinking compared with Microsoft (25%) and Google (11%), which showed stronger year-...
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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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