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kong

Kafka in a DMZ: Protecting AWS MSK with Kong Event Gateway

Jul 14, 2026 By Hugo Guerrero In Kong
Running Apache Kafka on Amazon Managed Streaming for Apache Kafka (MSK) gives you a managed broker with no ZooKeeper to operate, automated patching, and multi-AZ replication handled by the service. What it doesn't give you is a safe, governed way to expose Kafka access beyond your VPC boundary. That problem looks simple on the surface. It isn't. And how you solve it has significant implications for security posture, operational complexity, and monthly cost.
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How Agentic AI and Cloudera are Transforming Crisis Response

Jul 14, 2026 By Cloudera, Inc. In Cloudera
Can AI actually save lives? In this video, see how Cloudera and Mercy Corps have partnered to put people—not just technology—at the heart of humanitarian aid. Through a two-and-a-half-year collaboration, we’ve worked side-by-side with analysts to map real-world workflows and co-create AI solutions that solve their most pressing daily challenges.
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xray

Agentic AI Test Execution Inside Jira with Xray and Lynqa

Jul 14, 2026 By Mariana Santos In Xray
AI is becoming part of every stage of the testing lifecycle. Teams are using it to analyze requirements, design test cases, generate automation scripts, and accelerate execution activities that previously required significant manual effort. Within Xray, AI already helps transform Jira requirements into actionable test cases with AI Test Case Generation.
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speedscale

Build WireMock mappings fast from real traffic

Jul 13, 2026 By Ken Ahrens In Speedscale
I'm a big fan of service mocking. I've been working in and around software for about 25 years, and one thing never changes: when you sit down to work on your code, you almost never have everything available. The database, the third-party API, the message queue, the service two teams over. Something's missing. So you've got to stub it out or mock it out and keep moving.
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katalon

How to Test AI Applications Manually: A Playbook for Hallucinations, Bias, and Non-Deterministic Outputs

Jul 13, 2026 By Depa Panjie Purnama In Katalon
You have tested hundreds of features. You know the drill. Open the test case, write the preconditions, list the steps, fill in the expected result, run it, compare. Pass or fail. Move on. Then someone hands you an AI feature. A chatbot. A "summarize this ticket" button. A search box that answers in full sentences instead of returning a list of links. You open your test case template, you get to the "expected result" field, and you stop.
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integrate

Top 10 Alternatives to Manual CSV Uploads for Data Teams in 2026

Jul 13, 2026 By Donal Tobin In Integrate
Every Monday morning, someone on your team downloads a report, opens it in Excel, cleans up the column headers, removes the blank rows, and uploads it to Salesforce or Snowflake. Then they do it again on Tuesday for a different source. By Friday, half their week is gone, and the dashboard is still showing last week's numbers.
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integrate

Best Data Pipeline Tools for Multi-Cloud Environments (2026)

Jul 13, 2026 By Donal Tobin In Integrate
Managing data pipelines across AWS, Azure, and GCP simultaneously is one of the most demanding infrastructure challenges data teams face today. Native cloud services like AWS Glue and Azure Data Factory solve problems within their own ecosystems, but they create friction the moment data needs to move across provider boundaries.
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ably

Build or buy: how AI changed whether your in-house realtime system is still worth it

Jul 13, 2026 By Amber Dawson In Ably
A dropped connection used to cost a typing indicator. With AI in the product, it costs an entire response, mid-generation. That single shift is enough to reopen a decision most teams made years ago and stopped thinking about: whether to keep building realtime infrastructure themselves, or buy it. Fin, the AI agent platform formerly known as Intercom, made the call to buy. It had run its own realtime system, Nexus, for years, at the scale of one of the biggest support platforms on the internet.
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Your Guide to Perforce Autonomous Testing

Jul 13, 2026 By Perforce In Perforce
Software testing is struggling to keep pace with modern release cycles. More code, faster deployments, fragmented tools, and increasing quality demands are creating bottlenecks for QA, engineering, and DevOps teams. Discover how Perforce Autonomous Testing transforms the way teams validate software by bringing functional, performance, web, mobile, and desktop testing together through a unified AI-driven experience. Using natural language, teams can define testing intent, automate execution, orchestrate complex workflows, and gain actionable insights faster than ever before.
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