Cloud platforms, data centers, and the infrastructure decisions behind them — migrations, cost control, outages, and multi-cloud strategy.
678 stories · updated continuously · open in the command center
Switch, a major data center operator, has filed confidentially for a U.S. IPO with a potential listing as early as November, signaling renewed investor confidence in the critical infrastructure sector and suggesting consolidation opportunities may emerge as capital becomes available. The addition of venture capitalist Ben Horowitz to Switch's board indicates a strategic shift toward innovation and growth acceleration, which could intensify competition for talent and investment in the data center market. CIOs and technology leaders should monitor this development as it may impact pricing, service offerings, and partnership opportunities within their critical infrastructure vendor landscape.
CarPlay is a must-have for the majority of car buyers, but three major automakers don’t support the platform. Here’s the latest on why Tesla, Rivian, and GM continue to resist CarPlay — and whether there’s any chance they change their approach.
Cloudflare has launched Kitesurf, a cloud-hosted browser purpose-built for AI agents that leverages its existing Workers serverless infrastructure, enabling organizations to automate web-based workflows and interactions at scale. This development signals a strategic shift toward AI-native infrastructure and could reduce operational costs by offloading browser automation tasks to the cloud rather than maintaining on-premises solutions. IT leaders should evaluate how this capability could streamline RPA (robotic process automation), testing, and data collection workflows while assessing integration implications with existing Cloudflare investments.
A new database system (pgrust) demonstrates that PostgreSQL's 40-year-old architecture is fundamentally misaligned with modern workloads, achieving 300x faster analytics performance through query engine optimization techniques like batching and SIMD that target CPU/memory throughput rather than disk I/O. For IT organizations, this highlights a critical gap between legacy database platforms and contemporary performance expectations, signaling that strategic data warehouse and analytics initiatives may require evaluating modern alternatives designed for in-memory and columnar processing. The implications extend beyond raw speed to total cost of ownership, as dramatically improved query performance reduces computational overhead and operational complexity.
For roughly an hour this week, Telegram vanished from Apple's App Store. Even during that blip, it was a stunning absence for such a major app: an avenue of communication for more than 1 billion users around the world, used widely as a secure platform for people who live in countries under censorship. Apple later […]
Cloudflare's 36% year-over-year revenue growth to $696.1M and above-consensus Q3 guidance signal strong market demand for cloud security and edge computing solutions, indicating that enterprises are prioritizing digital infrastructure investments despite economic headwinds. For IT leaders, this reflects the strategic importance of consolidating security and performance capabilities through unified platform providers rather than managing fragmented point solutions. CIOs should evaluate whether Cloudflare's competitive positioning and feature roadmap align with their zero-trust architecture and multi-cloud strategies to avoid vendor lock-in while gaining operational efficiency.
GitHub Actions and Pages are experiencing significant degraded availability, with webhook triggers throttled to 15% capacity and only 65% of queued jobs succeeding, directly impacting CI/CD pipelines, automated deployments, and development workflows across organizations. This incident affects both GitHub-hosted and self-hosted runners, as well as dependent services like Copilot code review and GitHub Enterprise Importer, potentially disrupting release cycles and team productivity. IT organizations should assess their dependency on GitHub Actions and activate contingency plans while monitoring GitHub's incident resolution.
GitHub is experiencing significant service disruptions affecting critical development infrastructure, including GitHub Actions, Copilot services, and webhook deliveries, with only 15% of webhooks processing and 65% of queued jobs succeeding. This outage directly impacts software delivery pipelines, CI/CD automation, and code review processes across organizations relying on GitHub for development workflows. IT leaders should activate incident response protocols, communicate transparently with development teams about delays, and evaluate disaster recovery strategies and alternative deployment mechanisms.
Silo is a maintained, open-source fork of MinIO's S3-compatible object storage that restores features stripped from MinIO's community edition, including the full web console, security patches, and pre-built binaries—offering IT organizations a drop-in replacement with continuity assurance and transparent security management. For CIOs, this represents a strategic opportunity to reduce vendor lock-in risks, maintain supply-chain security through community-driven updates, and eliminate licensing concerns while preserving full S3 API compatibility with existing infrastructure. The active maintenance model and published security advisory process provide enterprises with the operational transparency and patching velocity often unavailable in unsupported community versions.
Ooredoo, Nvidia, Nokia, and Indosat have launched Zankore, Indonesia's first dedicated AI compute and neocloud platform, with Ooredoo committing $800M as a 49% stakeholder to capture the region's emerging AI infrastructure market. This represents a strategic shift toward AI-native cloud infrastructure in Southeast Asia, signaling that telecom operators are pivoting to become AI service providers rather than traditional connectivity vendors. CIOs and technology leaders should recognize this as a market validation of AI infrastructure investment needs and prepare their organizations to evaluate regional AI compute capabilities and partnerships.
Bipartisan opposition to AI data centers is emerging as a significant political force, with communities across the country—from conservative Florida to Arizona—organizing local protests and moratoriums based on environmental and economic concerns rather than traditional left-right ideology. This grassroots backlash represents a populist-versus-technocrat realignment that transcends typical party lines, with data centers becoming a tangible focal point for public anxiety about AI development, job displacement, and infrastructure decisions made without community input. For IT leaders, this signals that large-scale infrastructure investments will face unprecedented local resistance and regulatory uncertainty, requiring new stakeholder engagement strategies and compliance considerations.
For nearly a year now, Ford has been teasing big things at low prices from its next generation of EVs, a "Model T moment" built atop a new platform assembled in an innovative way. Today, we know the name and price of the first product to take advantage of that supposed moment: a midsize electric […]
AI workloads are generating heat densities (60-100kW+ per rack) that far exceed traditional air cooling capabilities (20-30kW), forcing data centers to adopt liquid cooling solutions as a critical infrastructure constraint rather than a supporting function. Direct-to-chip liquid cooling addresses this challenge by efficiently removing heat at the source, reducing energy overhead while enabling higher compute density—making it a strategic differentiator for organizations deploying large-scale AI infrastructure. CIOs must evaluate their facility's cooling architecture now to avoid performance throttling, operational complexity, and competitive disadvantage as AI adoption accelerates.
Major fossil fuel companies (Williams and Chevron) are securing multi-billion dollar, long-term contracts to build dedicated natural gas power plants for AI data centers, effectively creating a new growth market that extends the viability of fossil fuel infrastructure for decades. This partnership between Big Oil and Big Tech has significant implications for IT infrastructure strategy, climate commitments, and grid independence, as data center operators increasingly opt for "behind-the-meter" private power solutions rather than relying on public grids. CIOs and technology leaders must recognize that their infrastructure decisions are now directly tied to energy policy and fossil fuel expansion, requiring careful evaluation of power sourcing strategy against organizational sustainability goals and regulatory risk.
Sean O'Kane / TechCrunch: Nikita Bier steps down as head of product at X after a little more than a year in the role and says he will continue as an adviser — Nikita Bier has stepped down as head of product at X, Elon Musk's social media platform, after a little more than a year in the role.
Celld is an open-source platform that enables organizations to self-host Cloudflare Workers and Durable Objects on their own infrastructure, eliminating vendor lock-in and control-plane dependencies while leveraging S3-compatible storage as the distributed coordination backbone. By architecting applications with inherent data sharding (each object as its own SQLite database) and automatic state replication, celld reduces operational complexity, failure blast radius, and resource consumption compared to traditional shared-database architectures. This strategic shift toward self-hosted, distributed edge computing capabilities allows IT organizations to achieve cloud-native scalability and resilience while maintaining full control over data residency, compliance requirements, and infrastructure costs.
The gossip blogger was on TikTok covered in what appeared to be blood and wielding a knifelike object before the platform cut his stream. He’s since been hospitalized.
Oracle is halving its Always Free ARM compute tier effective August 18, 2026, reducing the allowance from 4 OCPUs/24GB to 2 OCPUs/12GB per tenancy, requiring immediate action from any organizations using larger or multiple ARM instances to avoid automatic termination. This change signals Oracle's shift in free-tier strategy and underscores the risk of building production workloads on permanently free cloud services without clear long-term guarantees. IT leaders should reassess their free-tier infrastructure dependencies and develop migration plans for workloads that exceed the new limits or transition to paid tiers for mission-critical systems.
Google's HTTP/2 codec (oghttp2) introduced in Envoy v1.34 caused a 15-25% throughput regression compared to the incumbent nghttp2 library, with performance issues traced to inefficient Huffman decoding of compressed HTTP/2 headers—a critical path that processes hundreds of thousands of decompression operations per second on edge proxies. This regression highlights the hidden performance costs of codec selection in high-throughput infrastructure and underscores the importance of benchmarking default library changes before widespread deployment. IT organizations running Envoy should evaluate their codec configuration and consider the trade-offs between newer implementations and proven performance baselines when planning infrastructure upgrades.
AI workloads are fundamentally breaking traditional network architecture, requiring sub-10 millisecond latency compared to legacy systems' 100-500ms tolerance, yet 65% of enterprises still operate on transitional or legacy infrastructure despite viewing AI as a board priority. Network performance is now a critical determinant of AI reliability and cost, with distributed AI across cloud, edge, and enterprise environments creating new performance bottlenecks and security vulnerabilities that demand intelligent, software-defined network architectures rather than passive connectivity layers. CIOs must transition from viewing the network as supporting infrastructure to recognizing it as an active control platform essential to AI operational success, shifting team focus from reactive outage management to proactive workload orchestration and policy enforcement.
Cloudflare has open-sourced Cloudflare OS, an enterprise platform that enables AI agents to understand organizational context and safely access internal systems to automate work across all business functions. The platform addresses critical enterprise challenges including security-by-design, collaborative access controls, and persistent app connectivity to live data—moving beyond static AI outputs to integrated workflows that embed organizational knowledge and best practices. IT leaders should evaluate this as a strategic foundation for democratizing AI automation across their organization while maintaining governance and security standards.
The FCC is likely to ban new Chinese-made optical transceivers for US data centers on cybersecurity grounds, which will create significant supply chain disruptions and cost escalation—particularly affecting enterprises and mid-market operators who lack the negotiating power of hyperscalers. IT organizations must immediately assess their supply chain complexity, as non-Chinese alternatives may themselves contain Chinese components, and prepare for a future of constrained availability and higher procurement costs. The ban will shift optical transceivers from treated commodities to strategic supply chain assets requiring deep vendor visibility and multi-year forward planning.
Texas has imposed a moratorium on new data center power grid connections due to overwhelming demand that threatens grid stability, with 1,800+ projects requesting 474 gigawatts—five times peak demand—creating both infrastructure and resource constraints. This regulatory intervention signals that unchecked AI infrastructure expansion will face state-level scrutiny and could impact competitive positioning, while major tech companies are circumventing the pause by building on-site power generation using natural gas turbines. CIOs and technology leaders must reassess data center expansion strategies in Texas and other markets, as regulatory barriers, resource scarcity, and compliance requirements will increasingly shape infrastructure decisions and operational costs.
SpaceX has pivoted its AI infrastructure strategy from competing directly in large language models to monetizing excess data center capacity, generating nearly $2 billion in new revenue from compute deals with Anthropic and Google while achieving 92% year-over-year revenue growth. With $6.7 billion in additional cloud services contracts ramping in October and a $100 billion war chest post-IPO, SpaceX is positioning itself as a critical infrastructure provider for AI workloads, signaling that satellite-enabled distributed computing and cloud services represent the company's highest-growth business segments. IT leaders should recognize that alternative infrastructure providers backed by massive capital and innovative network capabilities are reshaping the competitive landscape for compute services, potentially disrupting traditional hyperscaler dominance.
SpaceX's AI division revenue tripled to $2.6 billion through strategic partnerships with Anthropic and Google for compute services, positioning it as a competitor in the emerging neocloud market alongside CoreWeave and others. However, the division lost $1.5 billion this quarter, and SpaceX's overall losses persist despite aggressive $18.37 billion capital expenditures on AI infrastructure and Starship development—highlighting the massive upfront investment required to compete in AI compute at scale. IT leaders should recognize this as a signal that enterprise AI compute capacity will increasingly be supplied by non-traditional players with massive capital reserves, fundamentally reshaping cloud infrastructure economics and competitive dynamics.
The acquisition, which was first announced in June, brings Vibe.co into Walmart Connect, Walmart's connected TV advertising platform.
Texas Governor Greg Abbott has imposed mandatory audits on all new data center projects through state regulators, citing concerns that the state's power grid is being overwhelmed by explosive growth in data center demand—with 474 gigawatts of pending connections (90% data centers) exceeding five times ERCOT's peak capacity. This regulatory shift represents a fundamental departure from Texas's business-friendly environment and threatens the state's position as a premier data center hub, potentially reshaping where technology companies build critical infrastructure. For IT leaders, this signals increasing regulatory scrutiny on data center expansion nationwide and the need to reassess long-term infrastructure strategies, power availability assumptions, and operational costs in traditionally favorable markets.
Texas has implemented mandatory audits for new data centers seeking grid connections, requiring disclosure of incentives, power consumption, water usage, and community impact assessments—a regulatory shift that could significantly delay facility approvals in the nation's second-largest data center market. With 474 gigawatts of pending connection requests (five times peak demand) and data centers representing 90% of new power requests, this policy reflects growing bipartisan pressure to manage grid stability and resource constraints amid accelerating AI infrastructure buildout. For IT organizations, this signals a critical regulatory landscape shift requiring proactive engagement with state authorities and contingency planning for extended approval timelines.
Endeavor Optical Networks is developing a satellite-based laser communication network to replace undersea fiber optic cables for data center connectivity, targeting hyperscalers with a constellation of ~20 satellites capable of 2.4 terabits-per-second throughput on underserved international routes. This emerging technology could reduce infrastructure fragility, deployment timelines, and costs for critical data transit, but CIOs should monitor progress carefully as satellite-based data infrastructure faces technical challenges around atmospheric distortion, reliability standards, and competitive threats from larger players like Blue Origin. The startup plans a demonstration satellite launch by end of 2027, representing a potential strategic inflection point for global data infrastructure.