
Cloudflare Acquires Developer Database Company Outerbase
Cloudflare has announced the acquisition of Outerbase, a developer database company, to dramatically enhance the developer database experience across Cloudflare Workers. With this acquisition, building database-backed applications will be more approachable — enabling more teams to build and deploy full-stack, AI-enabled applications on Cloudflare's global network.
Databases are key to building any modern application. And, with the rapid growth of AI and AI agents, more software will be built over the next five years than in the past 20. Almost all of those applications will need a database to maintain context, store conversations, and act on data. Ensuring that those databases can be built and managed quickly, easily, and at scale by developers of all backgrounds will help more developers to build those applications on Cloudflare.
'Businesses are racing to build AI-powered applications to be as productive, innovative, and competitive as possible. Our goal is to make it easy and accessible for any developer, regardless of expertise, to build database-backed applications that can scale,' said Matthew Prince, co-founder and CEO of Cloudflare. 'Outerbase's technology and design expertise are an important factor in accelerating this improved developer experience.'
Outerbase itself is built on Cloudflare Workers, making it easy for the technology to rapidly be incorporated directly into Durable Objects, D1 and Cloudflare's Agents SDK to provide easy to use interfaces and frameworks to interact with data and build database-dependent applications. With this acquisition, Cloudflare aims to democratize data access and make it easier for teams to manage databases without extensive SQL knowledge.
'At Outerbase, our mission has always been to make working with data easier for developers. Joining Cloudflare allows us to keep doing that, but faster and at a much larger scale,' said Brandon Strittmatter, co-founder and CEO of Outerbase. 'We've built Outerbase on top of Cloudflare, so this next step feels natural. Now, we get to take what we've built and make it part of the platform itself. I'm beyond excited about this opportunity — not just because of what it means for the team, but how as part of Cloudflare, we will shape the way people are building developer tools and AI applications.' 0 0
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Arabian Post
3 days ago
- Arabian Post
Cloudflare and OpenAI Unite to Power Persistent AI Agents
Cloudflare and OpenAI have unveiled a powerful integration enabling developers to build intelligent, stateful AI agents that combine OpenAI's reasoning with Cloudflare's scalable execution infrastructure. By pairing the OpenAI Agents SDK with Cloudflare's new Agents SDK and foundational technologies like Durable Objects and Workers, the collaboration delivers global reach, persistent memory, and human‑in‑the‑loop interaction, all within a serverless framework. The synergy addresses a key shortcoming of stateless AI agents. OpenAI's Agents SDK offers advanced cognition—planning, tool‑calling, decision‑making—yet leaves execution environment and persistence to the developer. Cloudflare's solution fills that gap: its Agents SDK runs atop Workers and Durable Objects, providing each agent a unique identity, durable memory store, built‑in scheduling, WebSocket connectivity and global low‑latency execution. Durable Objects act as the agent container. Each instantiation—based on a name or unique ID—carries its own state and storage, enabling multi‑session workflows, memory hydration, and asynchronous execution. Developers can create one agent per user, task, or domain, avoiding state entanglement while fostering modular, composable agent systems. For instance, one could build a triage agent that routes queries to specialist agents, each maintaining separate memory and logic. ADVERTISEMENT A standout feature is scalability through human‑in‑the‑loop control. Cloudflare's architecture enables agents to pause mid‑workflow, await human judgment, and resume—persisting intermediate steps and context across sessions. Knock, a third‑party messaging layer, exemplifies this. Developers have built virtual card‑issuing workflows where the AI agent pauses for approval before issuing a card—managed via Knock plus Cloudflare's SDK. Another innovation: agents are addressable beyond HTTP. Cloudflare's system supports Twilio‑backed phone‑call integrations, WebSocket real‑time sessions, email and pub/sub. This opens rich, multimodal use cases—voice, text, email—bound by a globally unique agent identity. Complementing these developments, a remote Model Context Protocol server has been introduced. Cloudflare now allows agents to host MCP servers directly, enabling structured tool integration and external service access via authenticated, remote endpoints using MCPAgent. The MCP feature dovetails neatly with Cloudflare's recent release of a free tier for Durable Objects and general availability of multi‑step Workflows, lowering the entry barrier for developers. Addition of the OpenAI Agents SDK and Responses API further enriches the landscape. OpenAI's Responses API supports dynamic web search, file system access and system‑level tasks; the Agents SDK coordinates multi‑agent orchestration. Paired with Cloudflare's persistent runtime, this empowers developers to build AI agents capable of real‑time research, memory‑backed workflows and inter‑agent communication. Underpinning this integration is Cloudflare's acquisition of Outerbase in April, a database platform company. The acquisition strengthens data infrastructure within Workers, Durable Objects and the Agents SDK—helping developers build rich, contextual, database‑backed AI systems. This move boosts long‑term memory storage and retrieval critical for agents maintaining evolving user context. Industry observers are taking notice. A Medium commentary described the duo as 'perfect complements: OpenAI's Agents SDK gives you the brain, the other gives you the body'. Cloudflare's CEO Matthew Prince emphasised that these developments remove 'cost and complexity barriers' to agent deployment, calling the MCP server release 'the industry's first remote MCP server'. Developers working with the Agents SDK can bootstrap agent projects via common workflows: installing via npm or using the agents‑starter template, extending the core Agent class to handle HTTP, WebSocket, scheduled tasks, SQL storage, and tool invocation. Integration with front‑end frameworks is supported through useAgent and useAgentChat React hooks, offering real‑time UI connections. Looking ahead, Cloudflare promises further enhancements: evaluation tooling, voice and video interactivity via WebRTC, richer email integration for human supervision, self‑hosting capabilities, structured output support, and deeper embedding with Worker AI, Vectorize, Log Explorer and AI Gateway. The evolving field of AI agents is entering a new phase—no longer demonstrations, but operational systems able to remember, adapt, collaborate, and operate at global scale. By combining cognitive reasoning with robust orchestration and persistence, developers are empowered to deploy production‑ready agents that are stateful, interactive and distributed. That shift stands to redefine automation, customer support, education, workflows and more—lowering development barriers, increasing resilience, and enabling agents that truly work on behalf of users across time, platforms and modalities.


TECHx
5 days ago
- TECHx
Cloudflare Blocks Record 7.3 Tbps DDoS Attack
Home » Emerging technologies » Cyber Security » Cloudflare Blocks Record 7.3 Tbps DDoS Attack Cloudflare has revealed that it blocked the largest Distributed Denial-of-Service (DDoS) attack ever recorded in mid-May 2025. The attack peaked at 7.3 terabits per second (Tbps), surpassing previously recorded threats. This news follows the company's Q1 2025 DDoS threat report, released on April 27, which highlighted major attacks reaching 6.5 Tbps and 4.8 billion packets per second (pps). The target was a hosting provider using Cloudflare's Magic Transit service to protect its IP network. Attacks on hosting and infrastructure providers are reportedly increasing, according to Cloudflare's threat report. The 7.3 Tbps attack transferred 37.4 terabytes of data in just 45 seconds. This is equivalent to: Streaming 7,480 hours of HD video nonstop Downloading 9.35 million songs in under a minute Cloudflare's systems detected and blocked the attack automatically, ensuring zero service disruption. The attack used a newly emerging method exploiting HTTP/2, a common web protocol. At its peak, it delivered over 200 million requests per second, aiming to overwhelm robust infrastructure. Cloudflare reported that the attack: Targeted an average of 21,925 ports on a single IP address Peaked at 34,517 destination ports per second Originated from over 122,145 source IPs across 5,433 autonomous systems in 161 countries About 50% of the traffic came from Brazil and Vietnam. Other sources included Taiwan, China, Indonesia, Ukraine, Ecuador, Thailand, the U.S., and Saudi Arabia. The multivector attack was mostly composed of UDP floods, with smaller volumes of QOTD reflection, Echo, NTP, Mirai, Portmap, and RIPv1 amplification attacks. To help providers respond to such threats, Cloudflare offers a free DDoS Botnet Threat Feed. Over 600 global organizations have subscribed to this API-based feed to identify abusive IPs within their networks. Cloudflare confirmed that its DDoS protection systems neutralized the threat without human intervention, alerts, or incidents. The company emphasized its commitment to building a safer Internet and providing free, unmetered DDoS protection. Cloudflare's global network spans over 300 cities in more than 100 countries. Its automated systems are designed to respond quickly and effectively to evolving cyber threats.


Arabian Post
6 days ago
- Arabian Post
Unified Namespace Revolutionises Industrial Data Integration
Factories are increasingly adopting a Unified Namespace architecture—an event‑driven, centralised framework that unites data from diverse systems under a single, real‑time source of truth. By standardising naming conventions and utilising protocols like MQTT, this model dismantles data silos, enhances scalability, and accelerates decision‑making across engineering, operations, and management teams. UNS addresses the critical issue of fragmented automation ecosystems, where legacy PLCs, SCADA, MES, ERP and new IIoT devices yield data in inconsistent formats and isolated silos. By reorganising data into a semantic hierarchy aligned with business structures and situating all assets as nodes in a publish‑subscribe landscape, UNS ensures every connected system publishes updates when state changes occur and can subscribe to relevant data streams. Architectures based on UNS deploy MQTT brokers and IIoT platforms at their core. Data flows from edge devices—PLCs, sensors, HMIs—into 'raw' MQTT namespaces. It is then tidied, contextualised, and republished into a clean, hierarchically structured UNS, often paired with time‑series historians and SQL databases for durability and retrospective analytics. ADVERTISEMENT Industry voices emphasise UNS's role in bridging OT–IT divides. Walker Reynolds, credited with coining the term, described it as 'a real‑time single source of truth…semantically organised like the business and built to be open'. HiveMQ positions UNS as an enterprise‑scale model that aligns with patterns used in Data Mesh and Domain‑Driven Design, placing context‑aware, edge‑driven data streams at the centre of manufacturing ecosystems. Recent uptake is notable: OEMs and engineering integrators report streamlined onboarding of IIoT sensors, rapid deployment of smart analytics and reduced custom integration efforts. Clarify notes that UNS acts as the foundation for Industry 5.0‑ready systems—where real‑time context, resilience, and federated governance are critical. TCS analysts argue that consistent tag naming and publish‑subscribe methods democratise operations and facilitate near real‑time decision‑making across departments. Drivers of UNS adoption include the surge of IIoT connections—forecast to exceed 37 billion by 2025—and the push for real‑time visibility and AI‑driven insights. Heavyweights such as HiveMQ, EMQX and Inductive Automation's Ignition platform are addressing the architecture's appetite for robust MQTT‑based messaging layers. HiveMQ in particular emphasises semantic data hierarchy design, security hardening, and mapping enterprise schemas to UNS topics. The legacy Pyramid model—where data moves upward in batch‑driven flows—proved brittle and expensive to scale. UNS transforms this into a hub‑and‑spoke solution: systems publish events directly into the namespace; consumers subscribe as needed. This eliminates point‑to‑point wiring and custom middleware, reducing complexity and accelerating time‑to‑market. Adopters also benefit from plug‑and‑play device integration. Sparkplug B over MQTT ensures that edge devices can join UNS without manual intervention, supporting standardized payloads and monitoring capabilities. Challenges remain. Integrating legacy vendors requires protocol adaptation; data governance must balance federated ownership with enterprise consistency; cybersecurity demands are heightened by the open edge‑driven infrastructure. These technical and cultural safeguards are critical to UNS's sustainability. Nevertheless, early implementations demonstrate tangible benefits: one manufacturer reported a 30 % reduction in downtime detection latency thanks to real‑time fault event publication. Another systems integrator noted a 40 % cut in engineering hours by replacing custom connectors with dynamic UNS subscriptions. Bracketology 4.0, an innovative application outside manufacturing, showcased UNS's versatility in handling real‑time tournament data and instant user analytics. As newer projects integrate UNS, focus is shifting to best practice frameworks—semantic schemas, access control, naming standards aligned to ISA‑95 models—and more intelligent data models. HiveMQ's reference architectures are guiding industry audiences in mapping enterprise hierarchies into MQTT topic structures. Momentum is growing within the automation vendor landscape. Inductive Automation's Ignition platform, paired with Cirrus Link MQTT modules, is gaining prominence for its streamlined UNS onboarding. EMQX promotes scalability across geographically distributed plants, enabling centralised monitoring while maintaining edge resilience.