Video by CNCF [Cloud Native Computing Foundation] via YouTube
In this session, Jamie Lynch (senior software engineer at Embrace and a maintainer in the OpenTelemetry Kotlin SIG) introduces OpenTelemetry Kotlin, a Kotlin Multiplatform implementation of the OpenTelemetry specification. With it, developers can now capture telemetry on various platforms, including JVM, Android, iOS, and JavaScript, using a consistent Kotlin API. The new Kotlin SDK has two modes of operation: compatibility mode, which wraps OpenTelemetry Java, and implementation mode, which uses Kotlin Multiplatform.
Jamie also covers a step-by-step guide on setting up the Kotlin SDK, instrumenting an application with traces and logs, and exporting telemetry data.
The OpenTelemetry Kotlin project is new, and Jamie encourages the CNCF community to contribute, whether through code, feedback, or documentation, to stabilize and enhance the SDK. He shares the priorities for the Kotlin SIG, including stabilizing the logging and tracing APIs and developing instrumentation for widely-used libraries like Ktor.
You can help the OpenTelemetry Kotlin project by:
* Trying the project in your app and giving feedback
* Joining the #otel-kotlin channel in the CNCF slack
* Giving feedback at https://github.com/open-telemetry/opentelemetry-kotlin/issues
* Writing code or documentation that helps progress the implementation
Rob Moffat (Chief Architect at FINOS) maps out the intersection of workspace interoperability, open-source AI deployment, and multi-cloud security frameworks. He compares MCP (Model Context Protocol) with FDC3, tracks the rollout of the Common Cloud Controls (CCC) live validator tool, and reveals how open-source standards prevent multi-vendor lock-in at the desktop and infrastructure layers.
π¬π§ Join us in London! Dive into FDC3 Con and CCC working sessions on June 23-24, ahead of OSFF London on June 25, 2026: https://hubs.ly/Q041YV9Z0 (Use Code: 26YTOSFFLN20C)
π Timestamps:
0:00 AI Integration Realities: MCP vs. FDC3 Context Paradigms
0:41 Podcast Intro, Key Dates, and Global Showcase Streaming
1:25 Shout-Out to Our Key Sponsors and Foundation Supporters
2:50 The Evolution of FDC3: Moving Past the 2.0 Era into Context Sharing
4:15 Why Request-Response Frameworks Fail at Complex Desktop Interop
5:40 Empowering AI Agents with the FDC3 Semantic Context Matrix
7:22 Introducing FDC3 Con: What to Expect at the Dedicated London Workshop
8:50 Common Cloud Controls (CCC): Standardizing the Infrastructure Defense Layer
10:35 The Hyperscaler Drift: Translating Security Requirements Natively
12:15 Unveiling the CCC Live Validator: Testing Configurations via Code
14:40 Breaking Down Multi-Vendor Lock-In from the Desktop to the Cloud
16:15 Getting Involved: How to Contribute to Open Banking Workspaces
18:10 Logistics and Free Pass Perks: Food, Networking, and Community Benefits
π The Problem: Fragmented API Protocols and Multi-Cloud Configuration Drift
Financial technology stacks are heavily fractured at both ends of the architecture. On the desktop, the emergence of Model Context Protocol (MCP) handles basic request-response data queries but misses the rich, stateful orchestration layer needed to tie legacy banking applications together. Meanwhile, at the infrastructure layer, cloud security teams are forced to manually translate uniform security constraints into completely distinct vendor syntaxes, creating systemic compliance drift and massive platform team overhead.
ποΈ The Solution: Unified Context Surfaces and Open Compliance Validators
Rob Moffat details how open-source abstractions are resolving fragmentation at every level of the financial enterprise:
FDC3 as the Agent Interface: Providing an operational workspace framework that allows AI agents to read, interact with, and seamlessly drive multi-application workflows natively without massive API custom coding.
Common Cloud Controls Taxonomy: Building a vendor-agnostic catalog that translates core compliance mandates into predictable, repeatable infrastructure configurations.
The CCC Live Validator: Rolling out code-driven validation tools that automatically check native cloud environments against the master CCC schema to detect configuration drift instantly.
βοΈ Why This Matters for Financial Engineering
Securing the Desktop Supply Chain: Ensuring that as banks add AI assistance to trade execution or client onboarding screens, those tools use pre-vetted semantic security context lines.
Neutral Governance Pipelines: Bypassing proprietary SaaS cloud-security products in favor of open, community-maintained validation infrastructure that scales natively across AWS, Azure, and Google Cloud.
π More about FINOS: https://www.finos.org/
π§ Join our newsletter: https://www.finos.org/sign-up
ποΈ Listen to our Open Source in Finance Podcast: https://www.youtube.com/@FINOS/podcasts
LinkedIn: https://www.linkedin.com/company/finosfoundation
See how SAP Analytics Cloud in SAP Business Data Cloud helps make analytics more intuitive, intelligent, and proactive.
Analytics is no longer just about the data. Itβs about the experience. In this video, Matthias Delling, Head of Planning and Analytics, introduces a reimagined SAP Analytics Cloud experience designed to help users turn data into a competitive edge.
Explore a modern, accessible homepage built around the way people work, with personalized dashboards, KPI tracking through My Metrics, quick actions, and custom insights tailored to each role. See how SAP Analytics Cloud helps users stop searching across multiple dashboards and instead bring the metrics that matter into one place with real-time insights, custom views, and instant clarity.
Youβll also see how Joule, the AI assistant in SAP Analytics Cloud, helps business users ask questions in plain language, apply filters, update views, and understand what is driving performance. For dashboard designers, AI-powered agents can help generate interactive dashboards from natural-language descriptions, making it easier to move from idea to insight.
SAP Analytics Cloud in SAP Business Data Cloud helps make insights easy to see, simple to build, and proactive with alerts, so teams can focus on the decisions that matter most.
Learn more about SAP Analytics Cloud in SAP Business Data Cloud:
https://www.sap.com/products/data-cloud/cloud-analytics.html
Chapters
00:00 – Analytics reimagined for the AI era
00:10 – Foundational innovations in SAP Analytics Cloud
00:26 – A modern and personalized homepage
00:50 – Making analytics more intuitive
01:09 – Tracking KPIs with My Metrics
01:25 – Building dashboards faster
01:45 – Asking Joule questions in plain language
02:10 – Understanding what drives results
02:28 – Creating dashboards with AI agents
02:44 – Intelligent analytics for what comes next
Follow us on social:
LinkedIn: https://www.linkedin.com/company/sap/
Instagram: https://www.instagram.com/sap
Facebook: https://www.facebook.com/SAP/
Threads: https://www.threads.com/@sap
About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://www.sap.com/index.html
The Build iOS Apps plugin lets Codex view and test your iOS app in the in-app browser, open SwiftUI previews, and hot reload edits without leaving Codex.
Hermes is an always-on AI agent with a simple but useful architecture: an agent loop, memory, context construction, gateway integrations, and scheduled cron jobs. In this video, I walk through how Hermes builds context, talks to external services like Telegram and Slack, compresses long conversations, and learns from previous interactions.
—
π€ *Topics Covered*
– Hermes agent architecture
– Context, memory, and compression
– Gateways, SQLite, and cron jobs
—
π Links
– Written version: https://alejandro-ao.com/tutorials/hermes-agent-architecture/
—
π Connect with me
– My website: https://alejandro-ao.com/
– X (Twitter): https://x.com/_alejandroao
– LinkedIn: https://www.linkedin.com/in/alejandro-ao/
Welcome to the May 2026 Instaclustr platform round up! In this month’s update we cover ClickHouse and OpenSearch updates!
This month on NetApp Instaclustr:
ClickHouse 25.8.24 is now in General Availability on the Instaclustr managed platform.
-Version 25.8.16 has been closed.
-Older versions 25.8.11, 25.3.14, 25.3.8, and 24.8.14 have been retired.
OpenSearch 3.5.0 is now in General Availability on Instaclustr.
– Version 3.3.2 is deprecated.
– Version 3.2.0 is closed.
– Version 3.0.0 is no longer available.
AI Search for OpenSearch is now available on the NetApp Instaclustr platform for AWS and can be tested as part of the Instaclustr free trial.
Watch Alexβs AI Search demo:
Note: AI Search in the free trial is currently supported on AWS using the t4g.medium node size.
Read up about May’s release logs here:
https://www.instaclustr.com/support/documentation/announcements/release-log/#section-may-2026
Deploy on Instaclustr:
https://www.instaclustr.com
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