Systems | Development | Analytics | API | Testing

kong

Connecting Kong and Solace: Building Smarter Event-Driven APIs

Mar 20, 2026 By Hugo Guerrero In Kong
Bringing APIs and events together has always been a challenge. REST APIs give developers a familiar interface, while event brokers like Solace Broker excel at fan-out, filtering, and scalable, reliable event delivery. The tricky part? Bridging these two worlds without building a lot of custom glue. That’s exactly what the new Kong plugin for Solace upstream mediation does.
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hitachi vantara

What CTOs Need to Know About Modern AI Storage

Mar 20, 2026 By Liam Yu In Hitachi Vantara
As organizations scale their AI initiatives from experimentation into production, CTOs face a pivotal architectural challenge as storage emerges as one of the most common—and most expensive—constraints. While organizations continue to invest aggressively in GPU compute, studies consistently show that infrastructure inefficiencies outside the GPU account for the majority of wasted AI spend.
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hitachi vantara

The New Requirements for Mission-Critical Storage in an AI-Driven Enterprise

Mar 20, 2026 By Jay Subramanian In Hitachi Vantara
Most enterprises have made the commitment to AI. They’ve approved the budgets, stood up the pilots, and named it a strategic priority. So why are 95% of them getting zero return on $30–40 billion in GenAI investment? According to MIT research cited in Hitachi Vantara’s 2025 State of Data Infrastructure Global Report — which surveyed more than 1,200 IT leaders across 15 markets — the failure isn’t the model. It’s the infrastructure underneath it.
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Spotter for Supply Chain | Full Demo - March Spotlight

Mar 20, 2026 By ThoughtSpot In ThoughtSpot
Supply chain leaders are constantly balancing supply and demand in a world where volatility is the only constant. But tracking disruptions after they happen isn't enough—true agility requires seeing them coming. In this session, Ivan Seow, our Senior Director of Product Marketing, takes the wheel for a deep-dive demo of Spotter for Supply Chain. He demonstrates how to move beyond reactive analytics and into a world of proactive, industry-tailored foresight.
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Spotter for Financial Services | Full Demo - March Spotlight

Mar 20, 2026 By ThoughtSpot In ThoughtSpot
In the high-stakes world of financial services, an incomplete answer is more than a typo—it’s a liability that leads to compliance breaches, eroded client trust, and missed fraud. While general BI tools often force analysts into the weeds of manual data reconciliation, Spotter for Financial Services was engineered specifically to handle the industry's unique complexities.
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xray

Enterprise Data Protection, Governance, and Cost Optimization with Xray and Revyz in Jira

Mar 20, 2026 By Vish Reddy In Xray
As organizations embed Quality Assurance into their SDLC with Jira and Xray, the resulting test data becomes a strategic enterprise asset, vital for product quality, test case traceability, and regulatory compliance. Protecting this asset is paramount, and as its scale and importance grow, organizations require specialized data management capabilities that go beyond standard application features to ensure complete resilience and governance.
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dreamfactory

Identity Passthrough and RBAC for Enterprise LLM Deployments | DreamFactory

Mar 20, 2026 By Kevin Hood In DreamFactory
Enterprise adoption of large language models introduces a fundamental security challenge: how do you grant AI agents access to internal data without creating a backdoor that bypasses your existing access controls? Traditional database connections rely on service accounts with broad permissions, but when an LLM queries your customer records or financial data on behalf of a user, it must respect that user's specific entitlements.
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WSO2

Elevating AI Gateway Security and Control for LLM Access with the Power of Agent ID

Mar 20, 2026 By Akindu Himan In WSO2
The rapid proliferation of Artificial Intelligence (AI) agents and Large Language Models (LLMs) is transforming how businesses operate. From automating customer service to generating complex reports, AI agents are becoming indispensable. However, this explosion of AI-driven interactions brings with it significant challenges in management, security, and governance.
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