RegionCheck Launches Tool to Test Endpoints Across AWS, Azure, and Google Cloud

·1 views

A developer has launched RegionCheck, a new platform that allows engineers to test and monitor endpoints from cloud regions across AWS, Azure, and Google Cloud without setting up any infrastructure. The tool supports HTTP testing, DNS lookups, TLS certificate validation, continuous monitoring with alerts, and side-by-side comparisons across providers. It was built to address the lack of a single unified tool for diagnosing issues like uneven DNS propagation, CDN caching problems, and regional latency differences. RegionCheck is aimed at DevOps engineers, SREs, platform engineers, and backend developers who work with cloud infrastructure. The platform is available at regioncheck.io, with free checks open to all visitors and additional features accessible via a registered account.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Developer builds live registry tracking 750+ MCP servers across GitHub

A developer has launched kiprio.com/mcp-registry, a daily-updated registry that indexes, categorises, and ranks over 750 Model Context Protocol (MCP) servers sourced from GitHub and community lists. MCP, which allows AI assistants like Claude to connect to databases, APIs, and file systems, has grown rapidly over the past six months with no centralised discovery tool available. The registry reveals that Python and TypeScript each account for roughly a third of all servers, with Python favoured for data-heavy integrations and TypeScript leading in production-quality implementations. Analysis of the indexed servers shows significant redundancy — with over 40 weather servers and 30-plus web search wrappers — alongside genuinely useful tools for database querying, GitHub workflows, and niche use cases like Ethereum data and betting markets. A free public API is available for searching and retrieving server data, with a paid Pro tier offering bulk access and webhook notifications.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How to manage local and staging domains cleanly using hosts file profiles

Developers frequently end up with cluttered /etc/hosts files containing conflicting entries for the same hostname across local, staging, and cutover environments. A practical solution involves maintaining separate hosts profile files in a dedicated directory and activating only one at a time by copying it over the system hosts file. A simple shell script can automate this process, backing up the existing hosts file with a timestamp and flushing the DNS cache after each switch. For setups requiring shared base entries alongside project-specific overrides, profiles can be concatenated using cat and tee before applying. This approach is recommended until more complex tooling like dnsmasq or CoreDNS becomes necessary for wildcard domains or team-wide dynamic DNS needs.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

A Safer Workflow for Editing /etc/hosts Without Breaking Local Dev Setups

Editing /etc/hosts is a common practice for local development, but mistakes like duplicate entries or skipped DNS flushes can cause hard-to-debug issues. A recommended approach involves maintaining a personal copy of the hosts file, backing up the live system file before overwriting it, and applying changes deliberately rather than editing the system file directly. After copying the updated file to the system path, developers should flush DNS using the appropriate command for their OS — macOS, Windows, or Linux — and verify resolution via terminal before opening a browser. Keeping only one active mapping per hostname and confirming changes in the terminal first helps separate hosts-related bugs from application-level issues. For teams, committing a hosts.example file and a simple apply script to the repository can prevent configuration drift and speed up onboarding.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How CrewAI and ZenRows Power a Reliable Competitor Intelligence Agent

A competitor intelligence agent built with CrewAI uses two core components: a researcher agent that collects data and an analysis agent that generates reports and recommendations. The reliability of such a system depends heavily on its retrieval layer, since blocked or incomplete web content corrupts all downstream analysis. CrewAI's built-in ScrapeWebsiteTool makes standard HTTP requests without JavaScript rendering, causing it to fail on sites protected by anti-bot systems like Cloudflare or DataDome. ZenRows is presented as a replacement retrieval layer, claiming a 99.93% success rate on protected websites, and can be integrated either as a custom tool or via an MCP server. The tutorial, requiring Python 3.10–3.13 along with Anthropic and ZenRows API keys, walks developers through building a production-ready competitor intelligence workflow using this stack.

0 comments Read more at DEV Community