# Cockroach Labs Welcome to this blog posts! This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## AI DevFeed: [AI]() Original publisher: [Read original article]() Published: 2026-09-15T02:59:12.316196Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [Artificial Intelligence](), [AI Agent](), [Security](), [Google](), [Protocol (disambiguation)](), [Databases](), [CockroachDB]() Tags: [2026](), [agents](), [ai](), [cockroachdb](), [databases](), [google](), [security](), [vector-search]() ### AI overview An AI-focused Cockroach Labs blog category page listing articles about agent-to-agent communication, AI agent security, database isolation, compliance, resilience, identity, vector search, operations automation, and durable execution with CockroachDB. ### Source excerpt Blog ai A2A Is Now an Open Standard. The Data Layer Underneath It Isn't. In April 2025, Google released a protocol for agent-to-agent communication. Within three months, Google had donated it to the Linux Foundation... Quentin Packard August 19, 2026 Multi-Tenant AI Agents: Why Data Isolation Starts at the Database Most SaaS teams shipping agentic features focus on prompt safety and API-layer filtering. But effective AI agent security also depends on... ## How Does CockroachDB Automate SQL User Lifecycle Management? DevFeed: [How Does CockroachDB Automate SQL User Lifecycle Management?]() Original publisher: [Read original article]() Author: Pritesh Lahoti,Biplav Saraf,Sourav Sarangi Published: 2026-08-28T00:00:00Z Content type: tutorial Language: en Sources: [Cockroach Labs]() Topics: [CockroachDB](), [IAM](), [identity and access management](), [active directory](), [Entra ID](), [okta](), [Microsoft]() Tags: [active-directory](), [cockroachdb](), [entra-id](), [iam](), [identity-and-access-management](), [microsoft](), [okta]() ### AI overview The article addresses how CockroachDB automates SQL user lifecycle management and notes that large enterprises commonly rely on identity provider and identity and access management platforms such as Okta, Microsoft Entra ID, Microsoft Active Directory, and Ory. ### Source excerpt Fortune 1000 enterprises widely rely on major Identity Provider (IdP) and Identity and Access Management (IAM) platforms like Okta, Microsoft Entra ID, Microsoft Active Directory, and Ory. ## Core Banking Modernization with Temenos Core and CockroachDB DevFeed: [Core Banking Modernization with Temenos Core and CockroachDB]() Original publisher: [Read original article]() Author: Nanda Badrappan,Muruga Balakrishnan Published: 2026-08-24T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [CockroachDB](), [Cockroach Labs](), [Data Infrastructure](), [Availability](), [real-time](), [Resilience](), [Transactions](), [legacy](), [SQL](), [Cloud](), [systems](), [on-prem]() Tags: [availability](), [cloud](), [cockroach-labs](), [cockroachdb](), [data-infrastructure](), [legacy](), [on-prem](), [real-time](), [resilience](), [sql](), [transactions]() ### AI overview This article explains why banks are modernizing legacy core banking infrastructure. It describes how Temenos Core and CockroachDB are positioned to support real-time transaction processing, continuous availability, distributed operations, resilience, and regulatory requirements. ### Source excerpt Banking has become an always-on business. Customers expect instant payments, accurate balances, and continuous access to financial services... ## A2A Is Now an Open Standard. The Data Layer Underneath It Isn't. DevFeed: [A2A Is Now an Open Standard. The Data Layer Underneath It Isn't.]() Original publisher: [Read original article]() Author: Quentin Packard Published: 2026-08-19T00:00:00Z Content type: opinion Language: en Sources: [Cockroach Labs]() Topics: [agent to agent communication](), [Multi Agent Systems](), [Model Context Protocol](), [Database](), [Artificial Intelligence]() Tags: [a2a](), [agent-to-agent-communication](), [agentic](), [agents](), [ai](), [architecture](), [database](), [mcp](), [model-context-protocol](), [multi-agent-systems](), [protocol](), [standards]() ### AI overview The article argues that A2A standardizes communication between agents but leaves the underlying data and state layer undefined. It contrasts A2A's horizontal agent-to-agent communication with MCP's vertical connection between an agent and external tools or data, and argues that production systems need both alongside a database-centered state architecture. AGENTS.md is presented as another interface standard that leaves durable state outside its scope. ### Source excerpt In April 2025, Google released a protocol for agent-to-agent communication. Within three months, Google had donated it to the Linux Foundation... ## Multi-Tenant AI Agents: Why Data Isolation Starts at the Database DevFeed: [Multi-Tenant AI Agents: Why Data Isolation Starts at the Database]() Original publisher: [Read original article]() Author: Quentin Packard Published: 2026-08-11T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [AI Agent](), [Multi-tenancy](), [Security](), [Software as a service](), [Database](), [Architecture & Design]() Tags: [agents](), [ai](), [ai-agents](), [architecture](), [database](), [prompt-injection](), [saas](), [security](), [sensitive-data]() ### AI overview The article argues that multi-tenant AI agent security requires database-level tenant isolation in addition to prompt safety and API-layer filtering. It explains that agents can act on improperly accessed data through downstream systems, APIs, and tool calls, expanding the potential impact of a tenant-boundary failure. ### Source excerpt Most SaaS teams shipping agentic features focus on prompt safety and API-layer filtering. But effective AI agent security also depends on... ## DORA Compliance for AI Agents: Database Requirements Before Deployment DevFeed: [DORA Compliance for AI Agents: Database Requirements Before Deployment]() Original publisher: [Read original article]() Author: Quentin Packard Published: 2026-08-07T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [Databases](), [Artificial Intelligence](), [Resilience](), [audit](), [consistency](), [integrity](), [Transactions]() Tags: [ai-agents](), [audit](), [compliance](), [consistency](), [database](), [eu](), [gdpr](), [integrity](), [resilience](), [transactions]() ### AI overview This article explains database capabilities needed by financial AI agents operating under DORA, the EU AI Act, and GDPR. It focuses on auditability, agent identity attribution, strong read consistency, idempotency, rollback and compensating transactions, and data residency. It argues that these database properties help organizations demonstrate operational resilience, traceability, and transaction integrity before deployment. ### Source excerpt Financial AI agents operating under DORA, the EU AI Act, and GDPR need infrastructure that supports operational resilience, traceability, and reliable transaction processing. ## The Database at 550 Kilometers: What Orbital Computing Means for Distributed Databases DevFeed: [The Database at 550 Kilometers: What Orbital Computing Means for Distributed Databases]() Original publisher: [Read original article]() Author: Isaac Wong Published: 2026-08-06T00:00:00Z Content type: opinion Language: en Sources: [Cockroach Labs]() Topics: [data centers](), [Databases](), [Artificial Intelligence](), [Inference](), [GPU]() Tags: [2026](), [ai](), [compute](), [data-center](), [data-centers](), [database](), [distributed](), [energy](), [gpu](), [inference](), [infrastructure](), [nvidia](), [solar](), [space](), [spacex]() ### AI overview The article examines orbital data centers as a possible response to the energy, cooling, and land constraints of terrestrial facilities. It describes proposed satellite-based computing projects, including an orbital Nvidia H100 Gemini inference workload, and outlines the roles of solar power, radiative cooling, and open orbit. ### Source excerpt In Ashburn, Virginia, a row of servers draws 40 megawatts from the grid and exhales it as heat. ## CockroachDB Kubernetes Operator launches with full lifecycle automation DevFeed: [CockroachDB Kubernetes Operator launches with full lifecycle automation]() Original publisher: [Read original article]() Author: Ethan Shmargad,Pritesh Lahoti Published: 2026-08-05T00:00:00Z Content type: release Language: en Sources: [Cockroach Labs]() Topics: [CockroachDB](), [Kubernetes](), [Deployment](), [Automation](), [migration](), [Scalability]() Tags: [automation](), [cockroach-labs](), [cockroachdb](), [database](), [deployment](), [kubernetes](), [migration](), [production](), [scalability]() ### AI overview Cockroach Labs announces the CockroachDB Kubernetes Operator, designed to connect CockroachDB-aware operations with Kubernetes. It provides lifecycle automation for deployment, upgrades, scaling, certificate rotation, and storage management, and supports multi-region deployments and workflows including Helm, GitOps, private registries, and air-gapped environments. ### Source excerpt The production-proven K8s operator is now available with full lifecycle automation, zero-downtime migration, as well as the flexibility and scalability to fit how your team actually works. ## How to Consolidate Your Database Stack for Production AI DevFeed: [How to Consolidate Your Database Stack for Production AI]() Original publisher: [Read original article]() Author: David Weiss Published: 2026-07-28T00:00:00Z Content type: tutorial Language: en Sources: [Cockroach Labs]() Topics: [CockroachDB](), [Databases](), [Artificial Intelligence](), [Architecture & Design]() Tags: [ai](), [cockroachdb](), [complexity](), [consistency](), [databases](), [guide](), [how-to](), [latency](), [postgresql](), [redis](), [resilience](), [scale](), [vector-database](), [vector-search]() ### AI overview This guide examines consolidating PostgreSQL, Redis, and a dedicated vector database into CockroachDB for production AI applications. It discusses operational complexity, consistency, latency, resilience, scale, and the tradeoffs of using a single operational database. ### Source excerpt When builders ship AI-powered applications, the data layer quietly becomes the hardest part of the stack. ## Why AI Agents Need Dedicated Identity and Access Controls DevFeed: [Why AI Agents Need Dedicated Identity and Access Controls]() Original publisher: [Read original article]() Author: Quentin Packard Published: 2026-07-17T00:00:00Z Content type: opinion Language: en Sources: [Cockroach Labs]() Topics: [AI Agent](), [identity and access management](), [Security](), [Authorization](), [audit trail]() Tags: [ai-agent](), [apis](), [audit-trail](), [identity-and-access-management](), [permission](), [security]() ### AI overview The article argues that production AI agents need dedicated identities and access controls because shared service accounts, broad permissions, and incomplete audit trails make it difficult to determine what agents accessed and why. Traditional IAM was designed around human actors and does not fully address autonomous software processes that act rapidly, access many records, call external APIs, or delegate work to other agents. ### Source excerpt The agent your team just shipped to external users has the ability to read customer records, execute transactions, and call external APIs. ## How BetterTracker Replaced Its Vector Store with CockroachDB DevFeed: [How BetterTracker Replaced Its Vector Store with CockroachDB]() Original publisher: [Read original article]() Author: Yohan Shirazi Published: 2026-07-15T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [CockroachDB](), [AI Platform](), [Databases](), [AI search](), [Retrieval Augmented Generation (RAG)](), [Availability](), [Software as a service](), [Transactions](), [data]() Tags: [ai](), [ai-platform](), [availability](), [cockroachdb](), [compliance](), [consistency](), [data](), [database](), [rag](), [saas](), [search](), [soc2](), [transactions](), [vector-database](), [vector-search]() ### AI overview BetterTracker replaced a standalone vector database by running transactional workloads and vector search together on CockroachDB. The article describes how this supports the company's AI-powered platform while reducing infrastructure complexity and compliance risk. ### Source excerpt BetterTracker eliminated a standalone vector database by running OLTP and vector search together on CockroachDB--cutting costs, complexity, and compliance risk in one move. ## Announcing the CIS Benchmark for CockroachDB v25.x DevFeed: [Announcing the CIS Benchmark for CockroachDB v25.x]() Original publisher: [Read original article]() Author: Adam Brennick,Ayog Mohanty Published: 2026-07-14T00:00:00Z Content type: release Language: en Sources: [Cockroach Labs]() Topics: [Benchmark](), [CockroachDB](), [Security](), [Cockroach Labs](), [configuration](), [Cybersecurity](), [Database](), [Self-hosted]() Tags: [announce](), [benchmark](), [cockroach-labs](), [cockroachdb](), [compliance](), [configuration](), [fedramp](), [government](), [hipaa](), [pci-dss](), [published](), [security](), [security-best-practices](), [security-research](), [self-hosted](), [standard]() ### AI overview The Center for Internet Security has published the CIS CockroachDB v25.x Benchmark, providing a consensus-driven security configuration guide for self-hosted CockroachDB deployments. The article explains how the benchmark can support standardized security practices, audits, compliance reviews, and production configuration validation. ### Source excerpt We're proud to announce that the Center for Internet Security (CIS) has published the CIS CockroachDB v25.x Benchmark. ## How to Automate CockroachDB Operations with AI Using Cockroach University DevFeed: [How to Automate CockroachDB Operations with AI Using Cockroach University]() Original publisher: [Read original article]() Author: Nathan Zamecnik Published: 2026-07-13T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [CockroachDB](), [Agent Skills](), [Artificial Intelligence](), [maintenance](), [Claude Code](), [Disaster Recovery](), [Security](), [observability]() Tags: [agent-skills](), [agents](), [ai-agents](), [claude-code](), [cockroachdb](), [disaster-recovery](), [maintenance](), [observability](), [security]() ### AI overview The article describes CockroachDB Agent Skills, a public repository of machine-executable operational workflows that AI agents such as Claude Code and Cursor can use. It also introduces three Cockroach University courses covering rolling restarts, encryption at rest, and planned node maintenance, along with a free trial of the CockroachDB Training Subscription. ### Source excerpt AI agents aren't just changing how applications interact with databases, they're changing how teams operate them. ## Durable Execution with DBOS and CockroachDB DevFeed: [Durable Execution with DBOS and CockroachDB]() Original publisher: [Read original article]() Author: Amine El Kouhen, Ph.D. Published: 2026-07-08T00:00:00Z Content type: tutorial Language: en Sources: [Cockroach Labs]() Topics: [CockroachDB](), [AI Agent](), [Orchestration](), [Database](), [Python](), [TypeScript]() Tags: [agents](), [ai-agent](), [cockroachdb](), [database](), [orchestration](), [python](), [self-healing](), [typescript]() ### AI overview This article explains how DBOS provides durable execution for long-running AI agent workflows by embedding workflow state persistence directly in a Python or TypeScript application database. It contrasts this approach with Temporal's separate orchestration service and describes pairing DBOS with CockroachDB. ### Source excerpt Modern AI applications are no longer single-shot inference calls. They are long-running agents that plan, act, observe, and retry across time. ## How CockroachDB and IBM LinuxONE Rockhopper 5 Power Resilient AI Infrastructure DevFeed: [How CockroachDB and IBM LinuxONE Rockhopper 5 Power Resilient AI Infrastructure]() Original publisher: [Read original article]() Author: Kyle Basile Published: 2026-07-07T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [AI Infrastructure](), [NVIDIA DGX](), [CockroachDB](), [ibm](), [Databases](), [AI Development]() Tags: [ai](), [ai-infrastructure](), [availability](), [cockroachdb](), [concurrency](), [consistency](), [customers](), [data](), [digital](), [distributed](), [engineering](), [enterprise](), [failover](), [financial](), [ibm](), [identity](), [identity-and-access](), [identity-and-access-management](), [infrastructure](), [security]() ### AI overview The article explains how enterprise AI workloads increase requirements for continuous data availability, high concurrency, real-time decision-making, and elastic scaling. It presents IBM LinuxONE Rockhopper 5 and CockroachDB as infrastructure and data-platform components for resilient AI applications, including semantic retrieval, embeddings, agent memory, and transactional consistency. ### Source excerpt Why does AI require a new approach to infrastructure? ## RoachFest London 2026 Recap: CockroachDB Roadmap and Production Stories DevFeed: [RoachFest London 2026 Recap: CockroachDB Roadmap and Production Stories]() Original publisher: [Read original article]() Author: Rob Reid Published: 2026-07-02T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [CockroachDB](), [Cockroach Labs](), [Artificial Intelligence](), [Cloud]() Tags: [2026](), [agents](), [ai](), [cockroach-labs](), [cockroachdb](), [london](), [recap]() ### AI overview A first-person recap of RoachFest London 2026 covering Cockroach Labs' CockroachDB roadmap, including storage, physical and virtual clusters, and specialized AI operations agents. It also highlights Form3's cloud-agnostic, active/active/active payment-platform architecture across AWS, GCP, and Azure. ### Source excerpt RoachFest London 2026 has been and gone, and I'm still buzzing. ## Why Agent Loops Fail in Production (and the Database Patterns That Fix Them) DevFeed: [Why Agent Loops Fail in Production (and the Database Patterns That Fix Them)]() Original publisher: [Read original article]() Author: Quentin Packard Published: 2026-07-01T00:00:00Z Content type: tutorial Language: en Sources: [Cockroach Labs]() Topics: [Loop Engineering](), [Databases](), [AI Agent](), [CockroachDB](), [PostgreSQL]() Tags: [agent](), [ai-agent](), [ai-agents](), [article](), [cockroachdb](), [database](), [loops](), [postgresql](), [production]() ### AI overview This article explains why AI agent loops can fail in production even when the underlying model reasons correctly. It focuses on database state, recovery, consistency, and auditability, with patterns and working code for PostgreSQL and CockroachDB. ### Source excerpt Agent loops fail in production for reasons that have little to do with the model, and everything to do with what happens to their state between iterations. ## PostgreSQL-Compatible Databases for AI at Scale: What to Evaluate from Day One DevFeed: [PostgreSQL-Compatible Databases for AI at Scale: What to Evaluate from Day One]() Original publisher: [Read original article]() Author: David Weiss Published: 2026-06-29T00:00:00Z Content type: opinion Language: en Sources: [Cockroach Labs]() Topics: [Databases](), [PostgreSQL](), [Artificial Intelligence](), [Concurrency](), [consistency](), [migration]() Tags: [ai](), [concurrency](), [consistency](), [databases](), [migration](), [postgresql](), [postgresql-compatible]() ### AI overview The article explains why teams building AI applications should evaluate database concurrency, consistency, and scaling characteristics at the greenfield stage. It argues that PostgreSQL compatibility does not necessarily provide horizontal scaling, while AI workloads can create unusually high concurrency through fan-out across tools, APIs, and databases. ### Source excerpt The database you choose at the start of an AI project is the one you'll be living with, or paying to escape, for years. ## The Thundering Herd Problem in Agentic AI: Why Traditional Fixes Fall Short DevFeed: [The Thundering Herd Problem in Agentic AI: Why Traditional Fixes Fall Short]() Original publisher: [Read original article]() Author: Quentin Packard Published: 2026-06-19T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [Agentic AI Architecture](), [agent orchestration](), [AI Agent](), [Artificial Intelligence](), [Concurrency]() Tags: [agent-orchestration](), [agentic-ai](), [ai-architecture](), [load-testing](), [parallel](), [thundering-herd]() ### AI overview This article examines how agentic AI can create a thundering herd through intentional fan-out and parallel execution. It argues that traditional mitigations only partly transfer because agent-generated synchronization can produce a sharp saturation point that staging load tests may not reveal. ### Source excerpt The thundering herd of the past was externally triggered. ## Agentic AI Architecture: How CockroachDB Supports Memory, Context, and Control DevFeed: [Agentic AI Architecture: How CockroachDB Supports Memory, Context, and Control]() Original publisher: [Read original article]() Author: Alejandro Infanzon Published: 2026-06-11T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [Agentic AI Architecture](), [CockroachDB](), [Artificial Intelligence](), [AI Architecture](), [context](), [Databases](), [data](), [Resilience](), [audit](), [SQL](), [Back end](), [Cockroach Labs]() Tags: [agentic](), [agentic-ai](), [agentic-ai-architecture](), [agents](), [ai](), [ai-agents](), [ai-architecture](), [architecture](), [audit](), [backend](), [cockroachdb](), [context](), [data](), [database](), [databases](), [durability](), [infrastructure](), [latency](), [low-latency](), [memory]() ### AI overview This article explains how CockroachDB can support enterprise agentic AI architectures by storing durable agent state, long-term memory, retrieval metadata, schema context, permissions, execution metadata, cost information, latency telemetry, and SQL audit trails. It presents the database as an operational layer for observing, governing, and improving autonomous agent behavior. ### Source excerpt What happens when you connect a fleet of autonomous AI agents to your enterprise data stack? You quickly discover... ## Managing Agentic AI Costs at Scale DevFeed: [Managing Agentic AI Costs at Scale]() Original publisher: [Read original article]() Author: Quentin Packard Published: 2026-06-10T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [AI Agent](), [agentic workflows](), [Claude Code](), [AI Inference]() Tags: [agentic-ai](), [ai-agents](), [claude-code](), [cost](), [engineering](), [inference]() ### AI overview This article examines why production agentic AI can cost substantially more than pilot deployments or standard chatbot use. It argues that total task cost includes planning, context retrieval, tool calls, state management, validation, and retries, and discusses building a business case before costs escalate. ### Source excerpt What do the Uber budget blowout, a 24x token multiplier, and context teach us about building a real business case for AI Agents in production? ## RoachFest London 2026 Preview: CockroachDB Conference Sessions on Databases, Resilience, and AI Agents DevFeed: [RoachFest London 2026 Preview: CockroachDB Conference Sessions on Databases, Resilience, and AI Agents]() Original publisher: [Read original article]() Author: Rob Reid Published: 2026-06-09T00:00:00Z Content type: article Language: en Sources: [Cockroach Labs]() Topics: [Databases](), [CockroachDB](), [distributed-systems](), [Resilience](), [Artificial Intelligence]() Tags: [2026](), [agents](), [cockroachdb](), [database](), [distributed-systems](), [london](), [resilience]() ### AI overview A preview of RoachFest London 2026, Cockroach Labs' annual database conference in London. The article outlines sessions on database architecture, production resilience, durable state for AI agents, and CockroachDB's product roadmap. ### Source excerpt Cockroach Labs has been hosting our annual database conference since 2022, and I'm honored to be MCing RoachFest London for the third year running. ## The Distributed Systems Challenges of Deploying Agentic AI in Production DevFeed: [The Distributed Systems Challenges of Deploying Agentic AI in Production]() Original publisher: [Read original article]() Author: Quentin Packard Published: 2026-06-04T00:00:00Z Content type: opinion Language: en Sources: [Cockroach Labs]() Topics: [Artificial Intelligence](), [AI Agent](), [distributed-systems](), [Concurrency](), [consistency](), [incident](), [observability]() Tags: [agent](), [agentic-ai](), [ai](), [concurrency](), [consistency](), [distributed-system](), [incident](), [observability](), [systems]() ### AI overview This article argues that deploying agentic AI in production requires solving distributed-systems problems around memory state, concurrency, identity, blast radius, observability, and economics. It focuses on state management for agents serving concurrent users, including failures, consistency, durability, and recovery. ### Source excerpt Most enterprise AI teams have built an agent that was impressive; far fewer have shipped one without a production incident that made someone question the whole program. ## How to Choose a Database for an AI-Powered Product DevFeed: [How to Choose a Database for an AI-Powered Product]() Original publisher: [Read original article]() Author: David Weiss Published: 2026-06-01T00:00:00Z Content type: tutorial Language: en Sources: [Cockroach Labs]() Topics: [Database](), [AI Infrastructure](), [AI Platform](), [Data Infrastructure](), [autoscaling]() Tags: [ai](), [ai-infrastructure](), [capacity](), [concurrency](), [data](), [database](), [how-to](), [product](), [scale]() ### AI overview This article presents seven criteria for choosing a database for an AI-powered product in production. It emphasizes evaluating elastic scalability, concurrency, correctness, workload demands, global distribution, and access by autonomous agents rather than selecting a database solely for model support or vector search. ### Source excerpt Organizations across fintech, healthcare, retail, gaming, SaaS, and scores more verticals are embedding AI into business-critical offerings. [Next page]()