Merge pull request #226 from jaydestro/v2-reorg

alphabetical order

Author: jaydestro

client/src/pages/conf/speakers2026.json

@@ -130,22 +130,6 @@
       "abstract": "As Azure Cosmos DB workloads scale, teams often experience rising RU costs, unpredictable latency, and uneven throughput caused by early design decisions that no longer meet production requirements.\n\nIn this session, I will walk through a realistic, high-volume data ingestion and querying workload that experienced rapid cost growth and performance degradation over time. Using Azure platform metrics, diagnostics, and query insights, we will examine how issues such as hot partitions, cross-partition queries, over-indexing, and inefficient throughput provisioning were identified.\n\nThe session will then demonstrate how targeted improvements in partition strategy, query design, indexing policies, and throughput management led to measurable reductions in RU consumption and improved system stability. Each optimization will be explained through the decision-making process behind it, supported by before-and-after comparisons of cost, latency, and throughput.\n\nAttendees will leave with a practical, repeatable framework for diagnosing and resolving common Cosmos DB performance and cost challenges."
     }
   },
-  {
-    "slug": "andrew-ruffin",
-    "name": "Andrew Ruffin",
-    "role": "Senior Product Manager",
-    "company": "AMD",
-    "img": "/img/speakers/andrew-ruffin.jpg",
-    "linkedin": "https://www.linkedin.com/in/andrewruffin/",
-    "x": "",
-    "blog": "",
-    "website": "",
-    "bio": "Experienced product, policy, and growth strategist with proven success in the high-stakes arenas of semiconductors and technology policy. Skilled in building alliances, finding new use cases and customers for emerging technologies, launching new software and hardware products, and managing teams. A translator and connector between business, technology, and policy with a commitment to continuous learning.",
-    "session": {
-      "title": "Powering Azure Cosmos DB with AMD EPYC",
-      "abstract": "Andrew Ruffin, Senior Product Manager at AMD, shares how modern AMD EPYC processors power Azure Cosmos DB across the globe — delivering up to 35% more performance and performance-per-dollar with the latest v7 generation, and feeding the dynamic scaling and elasticity features Cosmos DB users rely on every day."
-    }
-  },
   {
     "slug": "mick-feller",
     "name": "Mick Feller",
@@ -372,6 +356,22 @@
       "abstract": "Guillermo Rauch, CEO of Vercel, joins the Azure Cosmos DB Conf 2026 keynote conversation on modern applications, AI, and data at scale."
     }
   },
+  {
+    "slug": "andrew-ruffin",
+    "name": "Andrew Ruffin",
+    "role": "Senior Product Manager",
+    "company": "AMD",
+    "img": "/img/speakers/andrew-ruffin.jpg",
+    "linkedin": "https://www.linkedin.com/in/andrewruffin/",
+    "x": "",
+    "blog": "",
+    "website": "",
+    "bio": "Experienced product, policy, and growth strategist with proven success in the high-stakes arenas of semiconductors and technology policy. Skilled in building alliances, finding new use cases and customers for emerging technologies, launching new software and hardware products, and managing teams. A translator and connector between business, technology, and policy with a commitment to continuous learning.",
+    "session": {
+      "title": "Powering Azure Cosmos DB with AMD EPYC",
+      "abstract": "Andrew Ruffin, Senior Product Manager at AMD, shares how modern AMD EPYC processors power Azure Cosmos DB across the globe — delivering up to 35% more performance and performance-per-dollar with the latest v7 generation, and feeding the dynamic scaling and elasticity features Cosmos DB users rely on every day."
+    }
+  },
   {
     "slug": "hasan-savran",
     "name": "Hasan Savran",