Systems | Development | Analytics | API | Testing

Break One Dependency, Not The Whole Cluster

Scoped chaos rules are now in proxymock. A filter query picks the traffic, an effect perturbs it, and every response that gets touched is labelled so you can tell an injected failure from a real one for the rest of the run. Available in v2.5.892 and newer. The short version of why: kill a pod and you learn something real, but you do not learn what your service does when a dependency stays up and starts lying to it.

QMetry vs. OpenText ALM: Why QMetry is the better choice for regulated QA

Regulated QA teams carry a pressure most testing platforms weren’t built to solve for at the same time. Every release still needs traceability from requirement to test case to defect that holds up under audit. Approvals and evidence still need to be airtight. At the same time, agile releases, DevOps pipelines, and AI-assisted development keep moving, whether or not the testing platform underneath has kept pace.

I built an API traffic classifier for business workflows

An engineering leader asked me a question a few weeks ago: could we read their business workflows out of API traffic instead of asking people to document them? I said it should be possible. Then I tried it. A few engineers know how the system really works. They know which calls make up a work order and which checks happen after a write. That stuff rarely makes it into the test plan. Usually it’s in somebody’s head. Sometimes it’s in several heads, with slightly different answers.

Agentic QA demo: Stop fixing broken test scripts

See agentic testing in action with SmartBear BearQ. BearQ uses autonomous agents to explore your application, uncover defects, create regression tests, and adapt testing as your product changes – with human oversight built into the process. Broken, flaky test scripts eat up hours every sprint – and still leave gaps in coverage. SmartBear BearQ replaces constant script maintenance with agentic QA, so testing can move beyond predefined paths without giving up human oversight.

BigQuery MCP Server: Connect Google BigQuery to AI Agents Safely

A BigQuery MCP server lets AI agents like Claude query your Google BigQuery data through a standard protocol instead of ad-hoc integrations. Because BigQuery bills by bytes scanned, an unconstrained agent is not just a security risk but a budget risk: one careless full-table scan on a wide table costs real money. This guide covers what a BigQuery MCP server does, the three ways to set one up, and the cost and security controls that matter before you let an agent anywhere near your analytics data.

Utility API & AI Security: Exposing Data Without Exposing Control

Every utility is being pulled in two directions. Operations, engineering, and customer-facing teams all want data in modern applications: outage maps, field-service apps, asset-health dashboards, regulator reporting, and increasingly AI assistants that can answer questions about generation, load, or maintenance history. At the same time, the security team's job is to make sure none of that convenience becomes a path into systems that open spillway gates, trip breakers, or control pressure.

Keep API tests in sync with OpenAPI using Claude Code | SmartBear ReadyAPI

Want your API tests to stay accurate every time your OpenAPI spec changes? See how the SmartBear ReadyAPI MCP Server connects directly to Claude Code, so your API tests stay in sync with your OpenAPI spec without manual rework so you stay apace of change. In this walkthrough, Adrian Minnock, SmartBear Solutions Engineering Team Lead, configures the ReadyAPI MCP Server and connects it to Claude Code from the terminal. The demo also shows how ReadyAPI detects and repairs tests automatically after a spec change, then runs the new suite with ReadyAPI's own execution engine.

Stop API Breaking Changes: Schema Contracts Tutorial | DreamFactory

Someone adds a column. Six weeks later a consumer breaks. Schema Contracts are opt-in. Lock a table and you get a versioned hashed snapshot. Two knobs after that. Mode decides what promotes. None means no contract. Auto promotes additive drift and holds breaking. Strict holds everything for review. Runtime enforcement decides if the live API obeys the lock. Off is docs and drift only. Shape response strips extra fields. Strict also rejects writes that name a field you did not publish.

Every AI Agent Needs an Owner | DreamFactory Agent Control Plane

An agent in your stack reads tables and spends tokens. That has to land on a person, a department, a cost center. DreamFactory maps the agent onto an identity you already have: LDAP, OpenID Connect, SSO. Access and cost follow that person.