Systems | Development | Analytics | API | Testing

What if you did not have to open a dashboard, read the charts, and figure out what the numbers mean? What if you could just ask a question and get the answer in plain English?

CLI offers speed and developer freedom for API access; MCP provides centralized security, governance, and observability at enterprise scale. With CLI, credentials live on the developer's local machine and audit trails are shell-only — fast, but ungoverned. MCP adds authentication, centralized policy enforcement, and observability across all API calls, at the cost of some speed and higher token consumption. Kong's MCP Gateway is built for teams that need the governance trade-off without giving up too much velocity.#Shorts.

With all the online chatter about Copy Fail, DirtyFrag, and Fragnesia, we prepared this simple explainer about what these local privilege escalation vulnerabilities are and how they affect Bitrise customers. Bitrise provides a full-stack, vertically integrated mobile DevOps solution that unites the tools, processes and testing frameworks engineering teams need to build best-in-class mobile experiences. Over 400,000 developers use Bitrise’s products: Bitrise CI, Build Cache, Release Management, and Insights.

AI fixed the M&A data nightmare, but @SPGlobalMarketIntelligence 's Saugata Saha says the real win is shifting your mindset. Stop treating data as a byproduct...make it your competitive edge! Catch the full discussion of podcast on any podcast platform.

Ryan Tucker, CRO & Co-Founder of Hakodaa (now an IBM company), shares how their True Blue Snowflake partnership since 2021 drives data transformation and AI value with vertical expertise. He highlights customer wins including Cortex AI-powered sentiment analysis for a UK wealth manager and Snowflake Intelligence for retail executive reporting, and discusses how the IBM acquisition amplifies their Snowflake-specialized DNA with global reach.

Software is going headless: the internet is shifting from GUIs built for humans to APIs, MCP servers, and CLIs built for machines and agents. Machines will consume the internet at a scale 1,000x greater than humans — more agents will exist than people, and programmatic access moves far more data than any click ever could. This transition requires API and AI infrastructure capable of moving terabytes at a scale never built before. Kong provides the connectivity layer for this machine internet — the infrastructure between agents, LLMs, and the services they consume.#Shorts.

AI agents that never sleep are changing how businesses make decisions. Here's the full WSO2Con keynote on what that shift means for your organization. In this opening keynote from WSO2Con, the CEO walks through the transition from the digital era to what he calls the "agentic era" — where autonomous agents handle judgment calls across sales, marketing, and support. He's direct about the risks too: agents lack empathy, can make costly errors, and still need guardrails to operate safely at scale.

Unlock true data interoperability with Cloudera Data Sharing, powered by the Iceberg REST Catalog. Discover how it enables frictionless data collaboration across popular platforms and engines, eliminating costly data movement and replication. In this session, we'll demonstrate in action.

Whether you're just starting your automation journey or looking to level up to AI-driven quality, this session delivers the insights and tools to help your team release better mobile apps, faster. Sauce Labs experts Ashwini Sathe and Senior Solutions Engineer Parth Patel explore one of modern development's biggest paradoxes: AI-powered development has made shipping faster than ever — so why is maintaining quality getting harder?

What does it really take to build AI-ready data systems people can trust? In this episode of Data Builders Club, James Serra shares lessons from 40+ years in data and AI, covering data quality, trust, Data Mesh trade-offs, real-time systems, and why strong foundations matter more than hype in the AI era. Featuring insights from James Serra, Data & AI Solution Architect at Microsoft and author of Deciphering Data Architectures.