{"schema_version":"onlylabs.public_signal.v1","title":"Databricks (DBRX) Writing: Build durable agents with Temporal and Lakebase","description":"Databricks (DBRX) writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/491ddd9c-b13e-40e8-ad1a-83facc4d5e73","json_url":"https://onlylabs.fyi/signals/491ddd9c-b13e-40e8-ad1a-83facc4d5e73/signal.json","generated_at":"2026-09-09T18:55:17.893Z","evidence_latest_fetched_at":"2026-09-09T00:02:48.366586+00:00","signal_first_seen_at":"2026-09-09T00:00:52.102045+00:00","org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/databricks","dossier_json_url":"https://onlylabs.fyi/labs/databricks/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/491ddd9c-b13e-40e8-ad1a-83facc4d5e73","signal_json":"https://onlylabs.fyi/signals/491ddd9c-b13e-40e8-ad1a-83facc4d5e73/signal.json","source":"https://www.databricks.com/blog/build-durable-agents-temporal-and-lakebase","lab_dossier":"https://onlylabs.fyi/labs/databricks","lab_dossier_json":"https://onlylabs.fyi/labs/databricks/dossier.json","analysis":"https://onlylabs.fyi/analysis/databricks","analysis_json":"https://onlylabs.fyi/analysis/databricks/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/databricks/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Databricks (DBRX) published Build durable agents with Temporal and Lakebase. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Databricks technical guide on durable agents with Temporal. · Build durable agents with Temporal and Lakebase | Databricks Blog Skip to main content Summary Preserve agent progress with Temporal: recover recorded work after worker.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","signal_desk":"talking","source_context":{"source_url":"https://www.databricks.com/blog/build-durable-agents-temporal-and-lakebase","source_host":"databricks.com","occurred_at":"2026-09-08T15:46:40+00:00","first_seen_at":"2026-09-09T00:00:52.102045+00:00","date_source":"rss.item_date","context":null},"context_markers":[{"label":"Lab","value":"Databricks (DBRX)","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"databricks.com","source":"source"},{"label":"Notability","value":"Databricks technical guide on durable agents with Temporal.","source":"signal"},{"label":"Watch term","value":"Safety and alignment","source":"evidence"},{"label":"Watch term","value":"Agents and tool use","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://www.databricks.com/blog/build-durable-agents-temporal-and-lakebase"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-09-09T00:02:48.366586+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/491ddd9c-b13e-40e8-ad1a-83facc4d5e73/signal.json","dossier_json":"https://onlylabs.fyi/labs/databricks/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/databricks/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/databricks/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","evidence_focus":["post title","source URL","captured page text","HN traction","linked model or paper references","publication date"],"extraction_questions":["Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Which writing reframes a recent release, model, hiring wave, or policy stance?","Which posts mention data, evals, infrastructure, safety, or deployment workflows?"],"signal_questions":["What public theme, launch framing, or research direction does this writing signal expose?","Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Do the 6 related writing signals show a repeated pattern?"],"output_fields":["org","theme","public_framing","traction","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to frontier labs; for this category, keep conclusions tied to category-specific strategy, source evidence, and follow-up questions.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/491ddd9c-b13e-40e8-ad1a-83facc4d5e73/signal.json","required":true},{"label":"source","url":"https://www.databricks.com/blog/build-durable-agents-temporal-and-lakebase","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/databricks/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/databricks/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Databricks (DBRX)'s writing signal \"Build durable agents with Temporal and Lakebase\" for neocloud strategy."},"semantic_triples":[{"subject":"Databricks (DBRX)","predicate":"published","object":"Build durable agents with Temporal and Lakebase","text":"Databricks (DBRX) published Build durable agents with Temporal and Lakebase."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"is classified as","object":"writing signal","text":"Build durable agents with Temporal and Lakebase is classified as writing signal."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"belongs to","object":"talking desk","text":"Build durable agents with Temporal and Lakebase belongs to talking desk."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Build durable agents with Temporal and Lakebase has evidence coverage 1 captured evidence page."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"has captured page count","object":"1","text":"Build durable agents with Temporal and Lakebase has captured page count 1."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"has readable page count","object":"1","text":"Build durable agents with Temporal and Lakebase has readable page count 1."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"has related signal count","object":"6","text":"Build durable agents with Temporal and Lakebase has related signal count 6."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"has analysis playbook objective","object":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","text":"Build durable agents with Temporal and Lakebase has analysis playbook objective Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"has source host","object":"databricks.com","text":"Build durable agents with Temporal and Lakebase has source host databricks.com."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"has lab","object":"Databricks (DBRX)","text":"Build durable agents with Temporal and Lakebase has lab Databricks (DBRX)."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"has signal desk","object":"talking","text":"Build durable agents with Temporal and Lakebase has signal desk talking."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"has source host","object":"databricks.com","text":"Build durable agents with Temporal and Lakebase has source host databricks.com."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"has notability","object":"Databricks technical guide on durable agents with Temporal.","text":"Build durable agents with Temporal and Lakebase has notability Databricks technical guide on durable agents with Temporal.."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"has watch term","object":"Safety and alignment","text":"Build durable agents with Temporal and Lakebase has watch term Safety and alignment."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"has watch term","object":"Agents and tool use","text":"Build durable agents with Temporal and Lakebase has watch term Agents and tool use."}]},"intelligence":{"signal_desk":"talking","answer":"Databricks (DBRX) published Build durable agents with Temporal and Lakebase. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Databricks technical guide on durable agents with Temporal. · Build durable agents with Temporal and Lakebase | Databricks Blog Skip to main content Summary Preserve agent progress with Temporal: recover recorded work after worker.... onlylabs links this event to 1 captured evidence page and 6 related writing signals.","semantic_triples":[{"subject":"Databricks (DBRX)","predicate":"published","object":"Build durable agents with Temporal and Lakebase","text":"Databricks (DBRX) published Build durable agents with Temporal and Lakebase."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"is classified as","object":"writing signal","text":"Build durable agents with Temporal and Lakebase is classified as writing signal."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"belongs to","object":"talking desk","text":"Build durable agents with Temporal and Lakebase belongs to talking desk."},{"subject":"Build durable agents with Temporal and Lakebase","predicate":"has evidence coverage","object":"1 captured evidence page","text":"Build durable agents with Temporal and Lakebase has evidence coverage 1 captured evidence page."}]},"signal":{"id":"491ddd9c-b13e-40e8-ad1a-83facc4d5e73","url":"https://onlylabs.fyi/signals/491ddd9c-b13e-40e8-ad1a-83facc4d5e73","json_url":"https://onlylabs.fyi/signals/491ddd9c-b13e-40e8-ad1a-83facc4d5e73/signal.json","source_url":"https://www.databricks.com/blog/build-durable-agents-temporal-and-lakebase","title":"Build durable agents with Temporal and Lakebase","summary":"Databricks (DBRX) published a writing signal. onlylabs watches public writing for research themes, product direction, and model-launch context.","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2026-09-08T15:46:40+00:00","first_seen_at":"2026-09-09T00:00:52.102045+00:00","date_source":"rss.item_date","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://www.databricks.com/blog/build-durable-agents-temporal-and-lakebase"]},"facets":{},"traction":{"github_stars":null,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"is_primary":true,"source_match":true,"url":"https://www.databricks.com/blog/build-durable-agents-temporal-and-lakebase","final_url":"https://www.databricks.com/blog/build-durable-agents-temporal-and-lakebase","title":"Build durable agents with Temporal and Lakebase","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-09-09T00:02:48.366586+00:00","bytes":733858,"raw_path":"13817e0e116aa71e1418b68d61ec2b1ea1c832150598f4c75ab09ebf32d646b5.html","content_hash":"66868ab5ec6add2698cbf670c6bdb3b8c4205a30ad1ba88520c97fa75852a984","excerpt_chars":1200,"truncated":true,"excerpt":"Build durable agents with Temporal and Lakebase | Databricks Blog Skip to main content Summary Preserve agent progress with Temporal: recover recorded work after worker failures, retry failed operations, and wait durably for human review. Serve live application state with Lakebase Postgres: make evidence, recommendations, review decisions, and operational metrics queryable throughout each run. Connect execution to governed data: read Unity Catalog policy through synced tables and, with Lakebase Change Data Feed enabled, publish operational changes back to Delta history tables. A personal-loan underwriting agent gathers evidence, applies policy, and may wait days for a reviewer. During that time, workers can restart and tool calls can fail. The application must preserve completed work, resume execution, and keep the evidence available to the reviewer. This reference implementation uses Temporal for durable execution and Lakebase Postgres for queryable operational state. A synced table makes underwriting policy from Unity Catalog available in Lakebase. Temporal Activities write evidence, decisions, and metrics to Lakebase; once enabled, Lakebase Change Data Feed can publish those..."},"evidence_pages":[],"related_signals":[{"id":"3e65cf72-323e-464b-982b-488b26d834c6","url":"https://onlylabs.fyi/signals/3e65cf72-323e-464b-982b-488b26d834c6","source_url":"https://www.databricks.com/blog/introducing-consort-test-driven-development-branching-database","title":"Introducing Consort: Test-driven development on a branching database","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2026-09-09T13:41:25+00:00","first_seen_at":"2026-09-09T16:00:56.592912+00:00","date_source":"rss.item_date"},{"id":"46c879ac-8b83-4a9b-90f5-82e2bfbfde9d","url":"https://onlylabs.fyi/signals/46c879ac-8b83-4a9b-90f5-82e2bfbfde9d","source_url":"https://www.databricks.com/blog/adaptive-instructed-retriever-frontier-quality-search-2x-lower-latency","title":"Adaptive Instructed-Retriever: Frontier-Quality Search at 2x Lower Latency","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2026-09-09T13:30:00+00:00","first_seen_at":"2026-09-09T16:00:56.592912+00:00","date_source":"rss.item_date"},{"id":"77e232a4-7b43-4598-a800-3810347a4cd3","url":"https://onlylabs.fyi/signals/77e232a4-7b43-4598-a800-3810347a4cd3","source_url":"https://www.databricks.com/blog/evaluation-first-ai-agents-how-zepto-scales-customer-support-databricks-and-mlflow","title":"Evaluation-First AI Agents: How Zepto Scales Customer Support on Databricks and MLflow","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2026-09-09T03:00:00+00:00","first_seen_at":"2026-09-09T04:00:51.670543+00:00","date_source":"rss.item_date"},{"id":"6c5ee1be-f27e-4290-a708-ddb2da531201","url":"https://onlylabs.fyi/signals/6c5ee1be-f27e-4290-a708-ddb2da531201","source_url":"https://www.databricks.com/blog/sql-data-types","title":"SQL Data Types: Reference and Best Practices","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2026-09-08T17:16:06+00:00","first_seen_at":"2026-09-09T00:00:52.102045+00:00","date_source":"rss.item_date"},{"id":"ac3cb51c-f0e3-48b6-baa1-d56aaa22b711","url":"https://onlylabs.fyi/signals/ac3cb51c-f0e3-48b6-baa1-d56aaa22b711","source_url":"https://www.databricks.com/blog/40-year-old-database-rule-agents-just-broke-how-ltap-unifies-oltp-and-olap-workloads","title":"The 40-year-old database rule agents just broke: How LTAP unifies OLTP and OLAP workloads","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2026-09-07T12:48:05+00:00","first_seen_at":"2026-09-09T00:00:52.102045+00:00","date_source":"rss.item_date"},{"id":"6761ba34-f125-46be-9520-347eee723abd","url":"https://onlylabs.fyi/signals/6761ba34-f125-46be-9520-347eee723abd","source_url":"https://www.databricks.com/blog/achieving-extreme-efficiency-through-specialized-gpu-kernel-generation","title":"Achieving Extreme Efficiency through Specialized GPU Kernel Generation","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"databricks","name":"Databricks (DBRX)","category":"neocloud"},"occurred_at":"2026-09-04T20:00:00+00:00","first_seen_at":"2026-09-04T20:01:42.643982+00:00","date_source":"rss.item_date"}]}