AWS has released new Graviton-powered RG instances for its Amazon Redshift data warehouse service aimed at helping enterprises reduce both rising analytics costs and the operational complexity of modern lakehouse architectures.
At the core of the new instances is an integrated data lake query engine that AWS says can run SQL analytics across both Redshift warehouse data and Amazon S3 data lakes, delivering faster query performance and lowering analytics costs.
“Earlier, Amazon Redshift RA3 systems operated as two separate engines, with Redshift handling warehouse data and Spectrum handling S3 data lake queries. When a query required both, AWS had to coordinate between the two systems, which added complexity, slowed performance, and made Spectrum scan costs unpredictable,” said Pareekh Jain, principal analyst at Pareekh Consulting.
“The new RG instances combine those worlds into one integrated engine running directly inside Redshift itself. That means Iceberg, Parquet, and S3 lake data
The post 822K Downloads at Risk: Malicious node-ipc Versions Spotted Stealing AWS and Private Keys appeared on BitcoinEthereumNews.com.
Key Takeaways Slowmist flagged three malicious node-ipc versions on May 14, targeting over 822,000 weekly npm downloads. The 80KB payload steals 90+ credential categories, including AWS keys and .env files via DNS tunneling. Developers must immediately pin to clean node-ipc versions and rotate all potentially exposed secrets. Developer Secrets at Stake Blockchain security firm Slowmist flagged the attack via its Misteye threat intelligence system, identifying three rogue releases, namely versions 9.1.6, 9.2.3, and 12.0.1. The node-ipc package, used to enable inter-process communication (IPC) in Node.js environments, is embedded across decentralized application ( dApp) build pipelines, CI/CD systems, and developer tooling throughout the crypto ecosystem. The malicious releases were identified as versions 9.1.6, 9.2.3, and 12.0.1. The package averages ov
Three malicious versions of node-ipc, a foundational Node.js library used across Web3 build pipelines, were confirmed compromised on May 14, with security firm Slowmist warning that crypto developers relying on the package face immediate credential theft risk. Developer Secrets at Stake Blockchain security firm Slowmist flagged the attack via its Misteye threat intelligence system, identifying […]
An article from AI CERTs reporting on the Anthropic-SpaceX capacity arrangement caught my attention because it highlights a possibility the cloud market has been moving toward for years but has never fully embraced. The traditional assumption has always been simple: If you need elastic infrastructure at scale, you go to a hyperscaler such as AWS, Microsoft, or Google. They own the data centers, they understand multitenancy, and they know how to deliver computing as a repeatable service. The article suggests something different may now be emerging. Organizations with excess capacity may be able to act, at least temporarily, like cloud providers.
This is a meaningful shift. If access to compute, power, and networking can be packaged and sold by enterprises, AI infrastructure operators, telecoms, colocation players, and perhaps even large private data center owners, then cloud computing becomes less about who invented the model and more about who has available capacity right now. In other
Amazon Redshift RG instances, powered by AWS Graviton, run data warehouse and data lake workloads up to 2.4x as fast as RA3 instances at 30% lower price per vCPU. Its integrated data lake query engine supports open table formats such as Apache Iceberg.
Anthropic's AWS integration could reshape enterprise AI by enhancing accessibility, security, and autonomy, intensifying cloud competition.
The post Anthropic expands Claude access through general availability launch on Amazon Web Services appeared first on Crypto Briefing.
Amazon Web Services (AWS) is reshaping its underlying network foundation, a move that could redefine how enterprises approach cloud technology, costs, and operational efficiency. As enterprises contemplate next-generation workloads, from generative AI to globally distributed applications, AWS’s end-to-end custom networking stack is a new calculus for cloud economics, agility, and security.
Let’s take a deeper look at what AWS has announced, why it matters, and how smart enterprise technologists should plan to navigate the landscape of opportunities.
Let’s begin with AWS’s new networking philosophy, which focuses on making network connectivity nearly invisible to users and administrators alike. For AWS, networking needs to be as reliable as flipping a switch—it simply works, and no one notices unless it fails. To meet this lofty goal, AWS spent the past decade moving away from traditional, proprietary network hardware and has built a unified, custom stack that spans everything from sili
My most exciting news of last week: Amazon Bedrock AgentCore previewed the first managed payment capabilities enabling AI agents to autonomously access and pay for APIs, MCP servers, web content, and other agents. Built in partnership with Coinbase and Stripe, it removes the undifferentiated heavy lifting of building customized systems for billing, credential management, and […]
