JUL 17, 2026
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Cloudflare WAF protects WordPress applications from two high-severity vulnerabilities

Cloudflare's Web Application Firewall (WAF) has been updated to protect WordPress applications from two critical vulnerabilities: an Unauthenticated Remote Code Execution (RCE) and a related SQL Injection vulnerability. The WAF protections have been deployed to all customers, including those on free and paid plans, to reduce exposure until customers can update their WordPress sites. WordPress has released fixes for the vulnerabilities in version 7.0.2 and has forced automatic updates for affected sites.

Cloudflare Blog·1 min read·Today·Networking / Security
Cloudflare WAF protects WordPress applications from two high-severity vulnerabilities
Fig. CLOUDFLARE-01
Trending this week3 / 737
1Cloudflare WAF protects WordPress applications from two high-severity vulnerabilitiesCloudflare Blog · 48m ago2Eclipse Dataspace Components on AWS: Cost optimization strategiesAWS Architecture · 6h ago3The cost of saying yes has changedGitHub Engineering · 5h ago

The Digest

737 articles
Cloudflare48m ago

Cloudflare WAF protects WordPress applications from two high-severity vulnerabilities

Cloudflare's Web Application Firewall (WAF) has been updated to protect WordPress applications from two critical vulnerabilities: an Unauthenticated Remote Code Execution (RCE) and a related SQL Injection vulnerability. The WAF protections have been deployed to all customers, including those on free and paid plans, to reduce exposure until customers can update their WordPress sites. WordPress has released fixes for the vulnerabilities in version 7.0.2 and has forced automatic updates for affected sites.

NetworkingSecurity
1 min
GitHub5h ago

The cost of saying yes has changed

GitHub engineers are reevaluating their approach to decision-making, particularly when it comes to small feature requests. Writing the initial code is no longer the expensive step, as tools like AI agents can produce a first draft quickly. This shift in cost highlights the importance of evaluating changes based on their actual impact, rather than just their perceived complexity.

DevToolsPlatform
1 min
AWS6h ago

Eclipse Dataspace Components on AWS: Cost optimization strategies

Here's a summary of the engineering blog post in 2-3 concise sentences: The AWS Architecture blog series provides a cost optimization strategy for deploying Eclipse Dataspace Components (EDC) connectors on AWS, which can reduce spending by up to 58%. The main cost drivers identified in business-critical deployments are database (Amazon Aurora PostgreSQL) and compute resources (Amazon ECS with AWS Fargate), while non-critical deployments can reduce costs through rightsizing and Amazon EC2 Spot capacity. By understanding cost drivers and optimizing resource utilization, EDC connector deployments on AWS can achieve performance efficiency while controlling costs.

CloudArchitecture
1 min
AWS6h ago

Eclipse Dataspace Components on AWS: Architecture patterns in production

Here is a 3-sentence summary of the blog post on Eclipse Dataspace Components on AWS: To deploy Eclipse Dataspace Components (EDC) connectors in production on AWS, a deliberate architecture is required around isolation, managed services, and security layering, using AWS services such as Amazon S3 for data storage and AWS Secrets Manager for credentials management. The recommended architecture pattern involves container orchestration with Amazon ECS and AWS Fargate, persistence with AWS Secrets Manager and Amazon Aurora, and secure data storage with Amazon S3, and can be automated using AWS Cloud Development Kit (CDK). This architecture pattern ensures operational excellence, security, and reliability through principles such as Observability as a First-Class Concern, Managed Services Over Self-Managed Infrastructure, and Fail Fast, Recover Automatically.

CloudArchitecture
1 min
AWS6h ago

Eclipse Dataspace Components on AWS: Data sharing fundamentals

To implement Eclipse Dataspace Components (EDC) on AWS, developers can utilize AWS services like Amazon Elastic Container Service (Amazon ECS), Amazon Aurora, and Amazon API Gateway for production-ready deployment patterns. The EDC architecture is based on the International Data Spaces Association (IDSA) standards and the Dataspace Protocol (DSP), allowing for decentralized identity verification using the Decentralized Claims Protocol (DCP). The EDC connector has a modular, plugin-based architecture that enables customization for native AWS service integration, such as connecting to Amazon S3 for data storage and AWS Secrets Manager for credentials management.

CloudArchitecture
1 min
Kiro1d ago

Celebrating the builders: how founders are shipping faster with Kiro

Kiro, a developer tool, has helped thousands of startup founders accelerate their software development speed, quality, and productivity within a year. Users like Benoit Travers of maayot, Deep Pai of Facctum Solutions, and Matthew Trevathan of Nymbus have achieved significant gains - from 50% faster delivery to 80% reduction in manual effort. Founders praise Kiro for its ability to provide structure and discipline in AI-assisted work, allowing them to iterate and ship software faster without sacrificing engineering rigor.

AIDevTools
1 min
The1d ago

The Pulse: What can we learn from Bun’s rapid Rust rewrite with AI?

Jarred Sumner, creator of the JavaScript runtime Bun, successfully rewrote Bun's 535,496 lines of code from Zig to Rust in a matter of days using Anthropic's AI model, Fable. The rewrite aimed to address memory-safe issues in the original codebase, eliminating bugs and crashes caused by manual memory management. This rapid rewrite showcases the potential of AI-powered code generation to modernize complex software projects with unprecedented speed and efficiency.

CareerIndustry
1 min
Kiro1d ago

One year of Kiro: how students are building the future, right now

In this blog post, Kiro highlights its one-year milestone of empowering students to build cutting-edge projects with structured AI coding workflows, rather than relying solely on speed. Thousands of students across various industries and disciplines have leveraged Kiro to develop innovative projects that span accessibility, healthcare, and electronics. Students at different levels and backgrounds, including hackers, beginners, and UI/UX designers, use Kiro in distinct ways, but all achieve real-world results. Examples of student success stories include Nicholas Riley accelerating his prototyping workflow, Ava Luu streamlining her development process with AWS service tooling, Lahari Shakthi Arun transitioning into full-stack development from a UI/UX background, and Sharon Liang using Kiro for intentional planning and collaboration in her workflow. Beyond students, Kiro partners with universities and faculty to integrate hands-on experience with AI coding, and plans to expand its student offering and community tools.

AIDevTools
1 min
AWS1d ago

Prioritize your AWS Health alerts using AWS User Notifications

AWS Architecture provides a solution to prioritize AWS Health alerts using AWS User Notifications, addressing the issue of overwhelming operational teams with alerts of varying urgency. The solution filters health events to only notify about monitored services, then separates the remaining events into two priority tiers: Critical and Informational. Critical events are sent immediately, while Informational events are batched and delivered in a five-minute window. This solution uses a lightweight approach, deploying a single AWS CloudFormation template with four deployment modes: Linked (single account), Payer (organization-wide), Combined (single account with custom email), and PayerCombined (organization-wide with custom email). Deploying the template creates a prioritized notification system for AWS Health alerts, ensuring targeted alerting and faster response times for operations teams.

CloudArchitecture
1 min
Engineering2d ago

Exploring Hierarchical Interest Representation For Meta Ads Deep Funnel Optimization

Here is a 2-3 sentence summary of the blog post: Meta Ads is exploring Hierarchical Interest Representation, a research area that learns universal, relational knowledge representations of users and ads entities to improve deep funnel ranking optimization. This approach integrates real-world knowledge, engagement signals, and multi-modal content features to capture users' inferred interests and advertiser offerings, enabling generalization to rare and unseen entities. Through a transformer-based graph learning model, Hierarchical Interest Representation aims to improve deep funnel ads performance by connecting businesses with the population of people who carry genuine, latent interest in what they offer.

SocialScale
1 min
AWS2d ago

How bitdrift scaled to 121 million concurrent gRPC connections on Amazon CloudFront for live telemetry sporting events

Bitdrift, a mobile observability platform, scaled to handle 121 million concurrent gRPC connections on Amazon CloudFront for live telemetry sporting events. They resolved a DNS resolution imbalance issue under peak load by switching from weighted to multi-value answer routing in Route 53. This change distributed the load across multiple Network Load Balancers (NLBs), eliminating the single-origin bottleneck and resulting in zero server-side errors.

CloudArchitecture
1 min
Spotify3d ago

How Spotify Deployed Kong's AI Gateway to Power Generative AI at Scale

Spotify built an AI Gateway using Kong's AI Gateway to power generative AI at scale and unified AI adoption across the company. The AI Gateway provides a shared infrastructure for AI workloads, solving issues with authentication, rate limiting, cost tracking, and failure over. It enables teams to talk to large language models (LLMs) behind a single API, providing centralized observability and consistent error handling. The AI Gateway uses Kong's enterprise version, which is self-hosted and provides features like hybrid mode for deployment, declarative configuration for GitOps workflows, and a plugin ecosystem for extensibility. The plugin chain includes multi-provider routing, AI metrics, and end-to-end tracing for observability. As a result, over 1,000 internal services and individuals have been onboarded, and the AI Gateway has become the shared foundation for the company's AI-transformation strategy, enabling "supercharging product innovation" and "reimagining business operations" with AI.

MusicScale
1 min
Airbnb3d ago

From weeks to a day: how we made LLM evaluation fast enough to iterate on

Training an LLM is the easy part. The hard part is designing experiments and evaluations that you can trust enough to know whether the new model is actually an...

FrontendData Science
11 min
Slack3d ago

Shipyard: How We Built Slack’s Next-Generation EC2 Platform

Slack engineers built Shipyard, a next-generation EC2 platform that treats infrastructure as deployable artifacts rather than mutable instances, allowing for service-level deployment primitives and tight integration with build and orchestration systems. Shipyard provides key capabilities such as multi-architecture and multi-OS support, metrics-driven deployments with safety controls, and simplified configuration management. By using a layered image approach and applying configuration during lifecycle phases, Shipyard minimizes background load and makes system behavior easier to reason about.

CollaborationInfrastructure
1 min
Kiro3d ago

GPT‑5.6 is now available in Kiro

Kiro has integrated OpenAI models, including GPT-5.6 Sol, Terra, and Luna, offering three tiers of AI-powered capabilities. GPT-5.6 Sol sets a new state of the art in coding agents, while Terra offers balanced performance at lower costs and Luna provides efficient outcomes at quarter the cost of Sol. These models enable long-running agentic work, efficient tool use, and higher-fidelity implementation in the IDE, CLI, and Web.

AIDevTools
1 min
Kiro3d ago

One year of Kiro: a look back, and a look ahead

Here is a 2-3 sentence summary of the key technical decisions, problems solved, and outcomes: Kiro's spec-driven development approach resonated with experienced engineers, with over 100,000 developers trying the Kiro IDE within the first 5 days of launch and demand continuing to rise. Kiro's capabilities, including property-based testing, checkpointing, and agentic development, have been expanded to include enterprise features, CLI support, Web and Mobile experiences, and a growing roster of AI models from Anthropic and OpenAI. The technology has been adopted by various industries and organizations, including startups, universities, and enterprises, and has helped developers accelerate development, reduce rework, and establish better workflows.

AIDevTools
1 min
Cloudflare3d ago

A broken DNSSEC rollover took down .AL. Now 1.1.1.1 tells you when validation is bypassed

Here is a 3-sentence summary of the blog post: A broken DNSSEC rollover by the Albanian .AL TLD operator caused widespread DNS validation failures, leading Cloudflare's 1.1.1.1 resolver to apply a Negative Trust Anchor (NTA) to bypass validation and keep domains reachable. However, NTAs silently disable DNSSEC validation, making it difficult for clients to determine if the response is legitimate or spoofed, and Cloudflare introduced a new Extended DNS Error (EDE) code to address this issue. The new EDE code, which signals the presence of an NTA, is now included in responses from 1.1.1.1, providing clients and operators with transparency into the validation process and the reasons behind a response.

NetworkingSecurity
1 min
Netflix3d ago

Building Service Topology at Scale: Architecture, Challenges, and Lessons Learned

Here's a 3-sentence summary of the engineering blog post "Building Service Topology at Scale: Architecture, Challenges, and Lessons Learned" from Netflix TechBlog: To build a reliable and real-time service dependency map at Netflix scale, engineers adopted a "streaming-first" architecture that continuously ingests flow records and provides near-real-time topology updates with backpressure-enabled reactive pipelines to handle massive scale without data loss. A multi-layer architecture with physically separate topology layers and independent optimization enabled the system to process millions of flow records per second and provide sub-second query responses while maintaining near-real-time freshness. Through lessons learned, Netflix engineers found that backpressure and physical storage isolation are crucial components for building reliable real-time systems at scale, and that solving complex engineering challenges requires embracing system complexity and trade-offs.

StreamingScale
25 min
Engineering4d ago

Modernizing the Meta Ads Service With an Open-Source Kernel Scheduler

To address latency regressions and optimize ads retrieval performance, Meta's Ads and Linux Kernel teams collaborated to implement a customized scheduling policy using the open-source, BPF-based extensible scheduling framework, sched_ext. This resulted in a 28% reduction in ads retrieval stage tail latency and 3.28 MW power savings. By utilizing sched_ext, Meta was able to decouple scheduler optimizations from upstream Linux kernel releases, enabling continuous improvement and reduced experimentation costs.

SocialScale
1 min
Kiro4d ago

Welcome to birthday week

Kiro is celebrating its 1-year anniversary of agentic engineering, highlighting community growth and user feedback. The company has planned a week-long celebration, including daily coding challenges for bonus credits, a birthday party livestream, community spotlights, and surprises, to thank users for their contributions. The event aims to share Kiro experiences and inspires users to share their stories and achievements made with the tool, setting the stage for year two.

AIDevTools
1 min