Orchestrating big data processing with AWS Step Functions Distributed Map

Developers seek to process and enrich semi-structured big data datasets with durably orchestrated network-based workflows. For example, during quarterly earnings season, finance organizations run thousands of market simulations simultaneously to provide timely insights for scenario planning or risk management—these workloads require coordination between raw datasets and on-premise servers to provide the latest market information. AWS…

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New data centre partnership gives Microsoft access to Nvidia chips

Microsoft has reached a $9.7 billion agreement with data-centre operator IREN, gaining access to advanced Nvidia chips that could ease the strain on the company’s infrastructure and support AI services such as ChatGPT. Limited access to computing power has slowed growth across the sector, and large tech firms have pointed to capacity shortages during recent…

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IBM extends serverless computing to GPU workloads for enterprise AI and simulation

The challenge of running simulation and high-performance workloads efficiently is a constant issue, requiring input from stakeholders including infrastructure teams, cybersecurity professionals, and, of course, ever-watchful finance officers. Running these types of high-compute tasks often involves thousands of concurrent processes and are costly to run on traditional infrastructure. IBM’s latest update to its Cloud Code…

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3 ways innovation will shape the next era of digital security

As AI innovation drives value creation in many areas, one of the fields where tech innovation is poised to have the biggest impact is digital security. Like it or not, bad actors use technology advances to develop increasingly effective attacks on individuals and organisations. Because of this, many of the most important innovative efforts are…

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How configuration management can become an asset for enterprises

Configuration has become an invisible yet dramatic risk for today’s enterprises rolling-out large technology platforms. From airline system outages to data exposure incidents, small misconfigurations can now trigger multi-million-dollar losses. As enterprises integrate AI models, microservices, API connections, and increasingly, autonomous agents into their operational fabric, the risks multiply. There is a need for configuration…

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Introducing AWS Lambda event source mapping tools in the AWS Serverless MCP Server

Modern serverless applications increasingly rely on event-driven architectures, where AWS Lambda functions process events from various sources like Amazon Kinesis, Amazon DynamoDB Streams, Amazon Simple Queue Service (Amazon SQS), Amazon Managed Streaming for Apache Kafka (Amazon MSK), and self-managed Apache Kafka. Although event source mappings (ESM) offer a powerful mechanism for integrating AWS Lambda with…

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Combating online meeting fraud and deception

In many organisations, online meetings have taken the place of many gatherings that previously would have taken place in-person. The enforced home-working of the COVID epidemic kick-started the trend, and many now turn to an online platform to collaborate, interview, exchange ideas, and even socialise with colleagues in professional contexts. A new collaboration between cybersecurity…

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AI’s impact on cloud solutions

Artificial Intelligence is significantly enhancing cloud computing by improving efficiency and accuracy. The integration of AI into cloud solutions offers businesses operational benefits that transform the landscape of business operations. The reliance on cloud solutions for business operations is growing as companies seek greater efficiency and scalability. AI is becoming a key component in this…

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New Google Cloud tool fights future quantum attacks

Google Cloud has added new post-quantum encryption options to its Key Management Service (Cloud KMS). The update is currently in preview and introduces support for post-quantum Key Encapsulation Mechanisms (KEMs) – a form of encryption built to resist attacks from cryptographically relevant quantum computers. Cloud KMS is a managed service that lets users create, use,…

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Processing Amazon S3 objects at scale with AWS Step Functions Distributed Map S3 prefix

If you’re building large scale enterprise applications, you’ve likely faced the complexities of processing large volumes of data files. Whether you’re analyzing your application logs, processing customer data files, or transforming machine learning datasets, you know the complexity involved in orchestrating workflows. You’ve probably written nested workflows and additional custom code to process objects from…

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