# TechFabric > We design, build and run production software. Custom software and data engineering, on Databricks, Azure, AWS and Google Cloud. Senior engineers who embed in your team or own delivery as a pod. Founded in 2017 by engineers. 115+ engineers across Phoenix, Amsterdam, Dnipro and Hyderabad. TechFabric sells engineering capability, not licences. Engagements run either way: our engineers embed in your team, or we stand up a pod that owns delivery end to end. Service lines: Migrations to Databricks, Data engineering, Data science & AI, AI/BI & Genie dashboards, Machine learning, Data & AI governance, Forward-deployed teams, Product development, APIs & durable systems. TechFabric is a Databricks partner with an award-winning Databricks engineering team (second place, Creativity & Originality, Databricks Community Genie-Powered App Challenge, September 2026, for Prove It by TechFabric engineer Ivan Vydrin) and a Temporal partner. We also build seven Databricks accelerators that other companies adopt to speed up their own programmes: TechFabric Airlift, TechFabric Runway, TechFabric Radar, TechFabric Experiments, TechFabric Platform, TechFabric Harness and Fabric Tower. All are free and open source under Apache-2.0 and deploy into your own account. Separately we build products: Fabric and AutoFabric. Canvass is a client application we built and run for them, covering account research and campaign review on Cloudflare, and it is client work rather than a product or an accelerator. ## Services - [Migrations to Databricks](https://www.techfabric.com/services/databricks): Off Snowflake, Synapse, Teradata and SQL Server, onto Lakehouse and Lakebase, with a cutover you can reverse. - [Data engineering](https://www.techfabric.com/services/data-engineering): Pipelines that hold, tables people trust, and a bill that stops surprising you. - [Data science & AI](https://www.techfabric.com/services/ai-systems): Context stores, memory, retrieval and governed agents that survive production. - [AI/BI & Genie dashboards](https://www.techfabric.com/services/ai-bi-genie): Genie answers a business question in English, and the answer holds up when somebody checks it against finance. - [Machine learning](https://www.techfabric.com/services/machine-learning): Models that reach an endpoint, get retrained on a schedule, and can be rolled back by somebody who was not there. - [Data & AI governance](https://www.techfabric.com/services/data-ai-governance): Unity Catalog designed so grants hold, lineage survives a refactor, and an agent inherits permissions instead of routing around them. - [Forward-deployed teams](https://www.techfabric.com/services/forward-deployed): Product, design and engineering people who sit inside your business, find the real problem, and ship it. - [Product development](https://www.techfabric.com/services/platform): On a product build that means the same engineers carry a feature from the first architecture call to the release that ships it, with the agent harness doing the repeatable part of the work in between. - [APIs & durable systems](https://www.techfabric.com/services/apis): Long-running operations that survive restarts and partial failure. Temporal under the lakehouse jobs, agent runs and approvals that must not half-complete. ## Industries - [Financial Services](https://www.techfabric.com/industries/financial-services): Loan origination, refinance, servicing and repossession, for the people who have to defend the decision afterwards. - [Media and Entertainment](https://www.techfabric.com/industries/media-entertainment): Live streaming, creator platforms and the analytics that tell a rights holder who actually watched. - [Manufacturing](https://www.techfabric.com/industries/manufacturing): Catalogue search, procurement, quality documentation and the order management underneath industrial operations. - [Retail](https://www.techfabric.com/industries/retail): Commerce platforms, warehouse management and the fulfilment path between an order and a doorstep. - [Healthcare & Life Sciences](https://www.techfabric.com/industries/healthcare-life-sciences): Unifying records across sources that were never designed to agree with each other. ## Databricks - [Databricks overview](https://www.techfabric.com/databricks): four fixed-shape engagements. Health Check, Migration Readiness Sprint, Lakehouse Launchpad, Genie Accuracy. - [Databricks implementation expertise](https://www.techfabric.com/expertise/databricks): a software company with 80 Databricks-certified engineers. Apps and agents in the workspace, not only pipelines. - [Data platform expertise](https://www.techfabric.com/expertise/data-platform): a governed lakehouse with Unity Catalog first, or a two-week inventory of the warehouse you are leaving. ## Expertise - [Databricks](https://www.techfabric.com/expertise/databricks): TechFabric is a software company that went deep on Databricks. Eighty of our engineers hold Databricks certifications, inside a team of 115+ across Phoenix, Amsterdam, Dnipro and Hyderabad. We migrate warehouses, design Unity Catalog so grants actually hold, and ship applications and agents that run in your workspace under their own service principal. - [Data platform](https://www.techfabric.com/expertise/data-platform): A data platform is only useful if people can ask it a question and believe the answer. We stand Databricks up with Unity Catalog first, then ingestion, then the layers and the Genie space. The six-week Lakehouse Launchpad is the named build. - [AI systems](https://www.techfabric.com/expertise/ai-ml): Most AI programmes we are asked to look at already have a working demo. What they do not have is a way to score an answer, a permission boundary, or a process that survives a restart. We build the system around the model, starting from the scoring. - [Cloud](https://www.techfabric.com/expertise/cloud): TechFabric builds production software on Azure, AWS, Google Cloud and Cloudflare. Databricks is where we have chosen to go deep, and Temporal sits underneath the operations that must not fail. A cloud engagement here is a product or a platform, not a landing-zone slide deck. The people who scope it are the people who ship it. - [Temporal](https://www.techfabric.com/expertise/durable-execution-with-temporal): TechFabric is a Temporal partner. We put durable execution under the operations that must not half-complete: a payment that charges but does not fulfil, a repossession that starts and is never recorded, a pipeline that dies mid-run. A step that fails at three in the morning resumes rather than restarts. - [Experience design](https://www.techfabric.com/expertise/experience-design): By the time a mockup reaches engineering, the data model is settled, the routes exist and the API has opinions. Whatever the design wanted to change about any of that is now a rewrite. We put design engineers on the delivery team from the first conversations instead, and they stay through it. - [Front-end](https://www.techfabric.com/expertise/front-end-development): We build customer-facing applications, operator consoles and admin surfaces in React, Next.js, Angular, Vue and TypeScript, along with the design systems underneath them and the APIs they talk to. Design engineers and software engineers sit on one team, so the interface and the data model are decided together. - [Dynamics 365](https://www.techfabric.com/expertise/microsoft-dynamics-365): TechFabric is a Microsoft Solutions Partner that consults on and implements Dynamics 365. We take Business Central and Dynamics 365 CRM from a blank tenant to a live system, then build the AI workflows, document processing and Power BI reporting that surround them. Funko's warehouse system runs on Business Central, and AmTab's modernisation ran on Dynamics 365 and Power Automate. - [Insight Works](https://www.techfabric.com/expertise/business-central-insight-works): TechFabric is an Insight Works partner and a Microsoft Solutions Partner. We implement Dynamics 365 Business Central with Warehouse Insight, Shop Floor Insight, License Plating and Dynamic Ship, and we support the warehouse and production transactions that run through them, on site across the Phoenix metro and remotely everywhere else. Cyclic Materials engaged us for exactly that at their Mesa, Arizona facility. - [Power BI](https://www.techfabric.com/expertise/power-bi-consulting): TechFabric is a Microsoft Solutions Partner that builds Power BI reporting people stop double-checking. We design the semantic model and the measures with whoever owns each number, connect Power BI to Databricks, Dynamics 365 and Microsoft Fabric, and put Power Automate and Power Apps around the reports where a decision has to become an action. - [Strategy](https://www.techfabric.com/expertise/strategy-innovation): What we sell here is a two-to-three week discovery, run by the same senior people who would build the thing, ending in a scope, an architecture and a cost you can act on. On AI work it is also where success gets written down precisely enough to score. - [Databricks Health Check](https://www.techfabric.com/databricks/health-check): two-week workspace audit of compute cost, job reliability and Unity Catalog gaps. Scorecard either way. - [Migration Readiness Sprint](https://www.techfabric.com/databricks/migration-readiness): two weeks that inventory the estate, agree exclusions and hand you a wave plan. Runs on TechFabric Airlift. - [Lakehouse Launchpad](https://www.techfabric.com/databricks/launchpad): six weeks to a governed lakehouse an executive can question in plain English. - [Genie Accuracy](https://www.techfabric.com/databricks/genie-accuracy): semantic layer and evaluation harness, so Genie answers can be checked rather than believed. - [Snowflake to Databricks](https://www.techfabric.com/databricks/from-snowflake): what breaks on Snowflake, then the two-week Migration Readiness Sprint. Runs on TechFabric Airlift. - [Synapse to Databricks](https://www.techfabric.com/databricks/from-synapse): dedicated SQL, serverless, Spark and ADF inventoried separately. Runs on TechFabric Airlift. - [Teradata to Databricks](https://www.techfabric.com/databricks/from-teradata): BTEQ, FastLoad, macros and primary indexes, written down before a date is picked. Runs on TechFabric Airlift. ## AI, cloud and custom software - [AI Readiness Assessment](https://www.techfabric.com/ai/readiness): A two-week fixed-fee assessment of whether your data, permissions, platform and team can support the AI systems you want to build. You get a written readiness scorecard, the specific blockers ranked by what they cost you, and a thirty, sixty and ninety day order to clear them. - [AI Tools Assessment](https://www.techfabric.com/ai/tools-assessment): A two-week fixed-fee audit of the AI tools your company is already paying for: seats bought against seats used, where four products do the same job, what the licences renew at, and which of them changed how the work gets done. You get a spend and adoption picture, and a consolidation plan. - [Agentic AI development](https://www.techfabric.com/ai/agents): We build production AI agents: durable across restarts, bounded by the same catalogue permissions as the people they act for, stopping for human approval where a decision needs one, and measured by an evaluation harness so you can tell whether a change helped. Our agent framework is open source and deploys into your own workspace. - [AI workflow automation](https://www.techfabric.com/ai/workflows): We automate long-running business processes with AI in the loop: document intake, approvals, exception handling, multi-step operations that touch several systems. Built on durable execution, so a workflow survives restarts, retries and partial failure, and every run leaves a history you can audit. - [AI enablement](https://www.techfabric.com/ai/enablement): AI enablement is our engineers working inside your team on real production work, so your people can build and run the next system without us. Not a training course. A first system shipped together, with the patterns, the review standards and the evaluation harness left behind in your repository. - [AI transformation](https://www.techfabric.com/ai/transformation): AI transformation work at TechFabric starts by finding which parts of the business would actually change if a system ran there, and then building those. We sequence a programme around what can be measured, retire the pilots that were never going to ship, and put governance under the ones that stay. - [Cloud migration](https://www.techfabric.com/cloud/migration): We migrate applications, databases and operations onto Azure, AWS, Google Cloud and Cloudflare in waves, against an inventory agreed before the first move. Exclusions are written down and signed, each wave is reversible, and the workloads that should be rebuilt rather than moved are identified before anyone commits a date. - [Cloud transformation](https://www.techfabric.com/cloud/transformation): Cloud transformation work at TechFabric starts after the move, where most of the value is and most programmes stop. Rearchitecting the workloads whose running cost never came down, replacing the operational habits that came across with the servers, and getting release cadence to the point where the platform pays for itself. - [Application modernization](https://www.techfabric.com/cloud/modernization): We modernize applications that still earn their keep but have become expensive to change: strangling the monolith a piece at a time, replacing the data layer underneath, and shipping continuously while it happens. No eighteen-month rewrite, and no freeze on the features the business is waiting for. - [Azure consulting](https://www.techfabric.com/cloud/azure): TechFabric provides Azure consulting and development: landing zones and migration onto Azure, Azure SQL and Data Factory estates, Dynamics 365 and Power Platform integration, and the applications built on top. TechFabric is a Microsoft Solutions Partner, with designations in Data & AI, Digital & App Innovation, and Infrastructure. - [AWS consulting](https://www.techfabric.com/cloud/aws): TechFabric provides AWS consulting and development: migration onto AWS, serverless and container platforms, Databricks on AWS for the data layer, and durable workflows on Temporal for the operations that span days and several systems. We build on AWS where a system has to reach past the workspace, and we run what we build. - [Web application development](https://www.techfabric.com/software/web): We build web applications that people use as their job: operator consoles, internal platforms, customer portals and multi-tenant products. Built with the admin surface, the audit trail and the deployment path treated as part of the product rather than as things to add once it is live. - [Mobile app development](https://www.techfabric.com/software/mobile): We build iOS and Android applications and the backends underneath them: offline behaviour, sync, push, release management and the store submission process. Built so the app can be maintained by whoever owns it in year two, which is where most mobile projects quietly fail. - [Databricks consulting](https://www.techfabric.com/databricks/consulting): TechFabric is a Databricks partner with 80 Databricks-certified engineers. We migrate warehouses off Snowflake, Synapse and Teradata, design Unity Catalog governance that survives an audit, build Databricks Apps and Lakeflow pipelines, and put agents on AI Gateway that inherit catalogue permissions rather than routing around them. - [Hire Databricks engineers](https://www.techfabric.com/databricks/hire-engineers): TechFabric places engineers from an award-winning Databricks engineering team inside your team, working in your workspace and your repository. Eighty of our engineers hold Databricks certifications, averaging fifteen years of production experience. They come as a working team with a lead who owns the outcome, rather than as individual contractors you have to manage. - [Lakebase implementation](https://www.techfabric.com/databricks/lakebase): Lakebase is a fully managed serverless Postgres that Databricks runs inside the lakehouse, with compute separated from storage, database branching, point-in-time recovery and Unity Catalog governance over it. We design the schema, wire the sync to your lakehouse tables, and build the transactional application or the agent memory that runs on it. - [Unity Catalog consulting](https://www.techfabric.com/databricks/unity-catalog): We design and implement Unity Catalog: catalogue and schema structure, grants that match how teams really work, migration off the Hive metastore, and lineage that survives a refactor. Built so applications and agents inherit those permissions rather than routing around them with a shared service account. - [Databricks cost optimization](https://www.techfabric.com/databricks/cost-optimization): We find the Databricks spend that is not buying anything: all-purpose compute running jobs that should be serverless, clusters sized for a load that never arrived, schedules nobody owns, and warehouses left running overnight. You get findings ranked by severity with the estimated saving and the reasoning behind each one. ## Solutions - [Build an agentic software factory](https://www.techfabric.com/solutions/agentic-software-factory): We install the factory, run it beside your team, and hand it over with the runbooks. Your cluster, your data, open source underneath. - [Launch a product in a regulated vertical](https://www.techfabric.com/solutions/governed-product-launch): Build the application on a kernel that already knows about policy, approvals and evidence, so the compliance work is architecture rather than a phase at the end. - [Take the AI demo to production](https://www.techfabric.com/solutions/ai-features-to-production): The model is not the hard part. We build the durability, the permissions and the evaluation around it, and put the thing in front of real users. - [Move off the warehouse without a Friday night](https://www.techfabric.com/solutions/warehouse-migration): Snowflake, Synapse, Teradata or SQL Server onto Databricks, in validated waves, with a cutover that has a tested way back. - [Make the estate answer for itself](https://www.techfabric.com/solutions/explainable-estate): Grants that hold, lineage that survives a refactor, and an evaluation suite that says whether the thing got better. So the audit is a query. - [Modernise the estate that outgrew itself](https://www.techfabric.com/solutions/modernise-the-estate): The systems that got you here are now the reason things take a quarter. We take them apart in an order that keeps the business running. - [Keep people in charge of the agents you already run](https://www.techfabric.com/solutions/govern-your-agents): You have several agents working. We give you the console, the approvals and the ledger, so somebody can answer what they did and who allowed it. - [Leave your team able to do it without us](https://www.techfabric.com/solutions/engineering-capability): Our engineers work inside your team, on your priorities, in your repository. The handover is the point rather than the ending. - [See what production is doing, and be allowed to act](https://www.techfabric.com/solutions/production-visibility): Signals, severity from policy, and the authority to intervene. So the person who notices is the person who can fix it. ## Where we are - [Arizona](https://www.techfabric.com/arizona): a software development company headquartered in Gilbert, Arizona since 2017. - [Gilbert](https://www.techfabric.com/gilbert): the office is at 1530 E Williams Field Rd, Ste 201, Gilbert, AZ 85295. - [Phoenix metro](https://www.techfabric.com/phoenix): serving Phoenix, Scottsdale, Tempe, Mesa and Chandler from the East Valley. - [AI development in Phoenix](https://www.techfabric.com/ai-development-phoenix): An AI development company in the Phoenix metro. Production agents, retrieval and workflow automation, built in Gilbert AZ for Phoenix, Scottsdale and Tempe. - [AI consulting in Phoenix](https://www.techfabric.com/ai-consulting-phoenix): AI consulting for Phoenix-area companies, from a Gilbert AZ office. Readiness assessments, tool and spend audits, and a build team that ships what it advises. - [Data engineering in Phoenix](https://www.techfabric.com/data-engineering-phoenix): A data engineering company in the Phoenix metro. Databricks pipelines, lakehouse platforms and governance, from a Gilbert AZ office with 80 certified engineers. - [Data migration in Phoenix](https://www.techfabric.com/data-migration-phoenix): Data migration onto Databricks for Phoenix companies. Snowflake, Synapse, Teradata and SQL Server, with signed certificates and a cutover you can reverse. - [Power BI consulting in Phoenix](https://www.techfabric.com/power-bi-consulting-phoenix): Power BI consulting for Phoenix companies from a Microsoft Solutions Partner in Gilbert AZ. Semantic models, automated refresh, and reports finance will sign. - [Dynamics 365 consulting in Phoenix](https://www.techfabric.com/dynamics-365-consulting-phoenix): Dynamics 365 consulting for Phoenix companies from a Microsoft Solutions Partner in Gilbert AZ. Business Central and CRM implemented, integrated and taken live. - [Databricks consulting in Phoenix](https://www.techfabric.com/databricks-consulting-phoenix): Databricks consulting in the Phoenix metro from an award-winning engineering team with 80 certified engineers. Migration, Unity Catalog, apps and agents. - [Custom software development in Phoenix](https://www.techfabric.com/custom-software-development-phoenix): A custom software development company in the Phoenix metro. Web, mobile, APIs and data platforms, built in Gilbert AZ for Phoenix, Scottsdale and Tempe. - [App development in Phoenix](https://www.techfabric.com/app-development-phoenix): An app development company in the Phoenix metro. iOS, Android and web apps with the backend underneath, built in Gilbert AZ for Phoenix, Scottsdale and Tempe. ## The Databricks Field Guide Thirty-seven chapters on how Databricks works, free and not gated, at https://databricks.techfabric.com. Separate host, same company. - [What Databricks is](https://databricks.techfabric.com/guide/what-databricks-is/) - [Unity Catalog](https://databricks.techfabric.com/guide/unity-catalog/) - [Lakebase](https://databricks.techfabric.com/guide/lakebase/) - [Medallion architecture](https://databricks.techfabric.com/guide/medallion-architecture/) - [Pipelines](https://databricks.techfabric.com/guide/pipelines/) - [Agents](https://databricks.techfabric.com/guide/agents/) - [Migration](https://databricks.techfabric.com/guide/migration/) - [Cost and performance](https://databricks.techfabric.com/guide/cost-and-performance/) - [Platform comparison](https://databricks.techfabric.com/guide/platform-comparison/) - [Glossary](https://databricks.techfabric.com/guide/glossary/) ## Concepts - [What is durable execution](https://www.techfabric.com/durable-execution): running a long process so it survives the machine it started on, by replaying recorded history. ## Accelerators - [TechFabric Platform](https://www.techfabric.com/accelerators/platform): governed mutation pipeline. Every state change is policy-gated, auditable and replayable. - [TechFabric Harness](https://www.techfabric.com/accelerators/harness): TypeScript framework for durable agents deployable to Databricks Apps, Temporal or Cloudflare. - [TechFabric Airlift](https://www.techfabric.com/accelerators/airlift): governed warehouse and ETL migration onto Databricks, with signed certificates and reversible cutover. - [TechFabric Runway](https://www.techfabric.com/accelerators/runway): delivery control plane for Databricks Apps, with preview environments and evaluation gates. - [TechFabric Radar](https://www.techfabric.com/accelerators/radar): mission control for live Databricks workloads, with declared SLOs and governed intervention. - [Fabric Tower](https://www.techfabric.com/accelerators/fabric-tower): where people watch, steer and approve the work of agent squads. - [TechFabric Experiments](https://www.techfabric.com/accelerators/experiments): A/B experimentation and quality gates on Databricks and MLflow. ## Products - [Fabric](https://www.techfabric.com/products/fabric): Agents that carry real delivery work, on a shared record of every decision your team has already made. - [AutoFabric](https://www.techfabric.com/products/autofabric): The vehicle finance lifecycle, run by agents that have to ask permission and leave a record. ## Company - [How we work](https://www.techfabric.com/how-we-work): the four-step engagement, from a first conversation with an engineer to production. - [Team](https://www.techfabric.com/team): 115+ engineers, four offices, average 15 years of experience. - [Case studies](https://www.techfabric.com/case-studies): production systems for SWBC, Auto Approve, Athlinks, iLending and others. - [Industries](https://www.techfabric.com/industries): lending and auto finance, supply chain and distribution, manufacturing, and health and wellness. - [FAQ](https://www.techfabric.com/faq): every question we are asked, in one place. - [Contact](https://www.techfabric.com/contact): talk to a senior engineer. - [Events](https://www.techfabric.com/events): the Gilbert Databricks User Group, which TechFabric organises, and the sessions we speak at, with recaps and recordings after each one. - [Brand](https://www.techfabric.com/brand): logo, colours, type, backgrounds and the sentence that describes us, free to download. Machine-readable at https://www.techfabric.com/brand/kit/brand.json. ## Reading this site as Markdown Add .md to any URL below and you get that page as clean Markdown at the same address, with no navigation chrome. Every service, Databricks, AI, cloud, custom software, expertise, industry, product, accelerator, case study and blog page has one. So do the three location pages, the section indexes, /faq, /how-we-work, /team, /contact, /brand and /durable-execution. The exceptions are the category and author indexes and the three legal pages, which are lists of links or boilerplate and carry no argument of their own. The section indexes are the way in. Each lists every page under it with a sentence on what that page answers: - https://www.techfabric.com/services.md - https://www.techfabric.com/case-studies.md - https://www.techfabric.com/databricks.md - https://www.techfabric.com/ai.md - https://www.techfabric.com/cloud.md - https://www.techfabric.com/software.md - https://www.techfabric.com/accelerators.md - https://www.techfabric.com/products.md - https://www.techfabric.com/expertise.md - https://www.techfabric.com/industries.md - https://www.techfabric.com/blog.md And the pages themselves: - https://www.techfabric.com/faq.md, which is every question we are asked and its answer, grouped by the service line it belongs to - https://www.techfabric.com/services/databricks.md - https://www.techfabric.com/databricks/health-check.md - https://www.techfabric.com/case-studies/funko.md - https://www.techfabric.com/expertise/databricks.md - https://www.techfabric.com/accelerators/airlift.md - https://www.techfabric.com/blog/the-genie-app-that-refuses-to-answer.md ## Blog 65 posts. Topics: Databricks, News, Field Notes, What We Do, Azure, Knowledge Share, AI/ML, Durable Execution, Workflows, Cloud, Applied AI, Thought Leadership, Temporal, Design, React. - [TechFabric engineer named a winner in Databricks' Genie-Powered App Challenge](https://www.techfabric.com/blog/the-genie-app-that-refuses-to-answer): Prove It, by TechFabric engineer Ivan Vydrin, won in the Creativity & Originality track of Databricks' global Genie-Powered App Challenge, judged by Databricks. - [Embedded analytics on Databricks, part 1](https://www.techfabric.com/blog/embedded-analytics-on-databricks-part-1): One ticket, one platform, and the cheapest first step. Moving a B2B product's client reporting onto Databricks, starting with Lakehouse Federation. - [Dynamics NAV support ends in January 2028](https://www.techfabric.com/blog/dynamics-nav-support-ends-in-january-2028): Microsoft's extended support for Dynamics NAV 2018 ends on 12 January 2028. What moving to Business Central involves, and why the warehouse floor sets the size. - [Fabric or Databricks is the wrong question on Azure](https://www.techfabric.com/blog/fabric-or-databricks-is-the-wrong-question): Microsoft and Databricks shipped the interop this year. For teams already on Azure the question is which platform holds the tables and which one reads them. - [The lock-in argument for leaving Snowflake is over](https://www.techfabric.com/blog/the-lock-in-argument-for-leaving-snowflake-is-over): Snowflake and Databricks now read and write each other's Iceberg tables. If a vendor is still selling you a migration on lock-in, they are selling you 2023. - [Export to Data Lake stops on 30 November](https://www.techfabric.com/blog/export-to-data-lake-stops-on-30-november): Export to Data Lake stops permanently on 30 November 2026. Microsoft names two replacements for Dynamics 365 teams. There is a third answer. - [The pipeline was fine. The data was three days old.](https://www.techfabric.com/blog/the-pipeline-was-fine-the-data-was-three-days-old): Every job green, nothing failing, and the numbers quietly wrong because a source stopped sending. Freshness, volume and schema checks in Unity Catalog. - [Paying frontier prices to rename a variable](https://www.techfabric.com/blog/paying-frontier-prices-to-rename-a-variable): Smart routing in Unity AI Gateway labels a coding task before picking a model. The cost headline is fine. The traces are the part worth reading. - [Nobody wanted to run the migration on a Friday](https://www.techfabric.com/blog/nobody-wanted-to-run-the-migration-on-a-friday): Staging has ten thousand rows, production has forty million, and every migration is a guess. What Lakebase branching does to a team's calendar. - [Unity Catalog before the first pipeline](https://www.techfabric.com/blog/unity-catalog-before-the-first-pipeline): Lakehouse pilots skip grants and then cannot be handed to security. The Lakehouse Launchpad puts Unity Catalog first, with TechFabric Airlift underneath. - [The cost dashboard said the workspace was fine](https://www.techfabric.com/blog/the-cost-dashboard-said-the-workspace-was-fine): A Databricks cost dashboard shows spend. A two-week Health Check finds the spend that bought nothing, from all-purpose clusters to orphaned schedules. - [Four thousand objects and nobody would name the exclusions](https://www.techfabric.com/blog/four-thousand-objects-and-nobody-would-name-the-exclusions): Warehouse migrations slip because the exclusions were never written down. The Migration Readiness Sprint inventories the estate before anyone picks a date. - [Finance said ninety days. Operations said open account.](https://www.techfabric.com/blog/finance-said-ninety-days-operations-said-open-account): Genie fails when two teams mean different things by the same word. Genie Accuracy hardens the semantic layer. TechFabric Experiments keeps the suite running. - [Nobody could tell whether the agent was any good](https://www.techfabric.com/blog/nobody-could-tell-whether-the-agent-was-any-good): A team shipped an agent in nine days and argued for two months about whether its answers were right. Write down what a good answer is first. - [Using PyTest for Data Quality Checks Directly within Databricks](https://www.techfabric.com/blog/pytest-for-databricks-data-quality-checks): Writing PyTest data quality checks inside Databricks notebooks. Bronze-to-silver validation, edge cases, fixtures and error handling, with examples. - [How QA Engineers Can Use Databricks Repos for Better Test Automation Workflows](https://www.techfabric.com/blog/databricks-repos-for-qa-test-automation): Moving QA off ad-hoc notebooks and onto version-controlled test automation with Databricks Repos. Repo structure, modular tests, and how a team works in one. - [Governance You Can Actually Ship](https://www.techfabric.com/blog/governance-you-can-actually-ship): AI governance fails when it lives in documents instead of infrastructure. Compliance comes from systems that enforce the rules while the model is running. - [The Agent That Deleted Production](https://www.techfabric.com/blog/the-agent-that-deleted-production): Enterprise software fails when IT mandates tools people do not want. Adoption comes from pull, and the same rule now applies to agents. - [The Most Expensive Software Nobody Uses](https://www.techfabric.com/blog/the-most-expensive-software-nobody-uses): Companies spend millions on enterprise AI that employees barely touch while shadow AI spreads. The problem is the tools, not the people ignoring them. - [The Forward-Deployed Playbook](https://www.techfabric.com/blog/the-forward-deployed-playbook): AI changed build versus buy. Now it is changing delivery. Small teams of senior engineers embedded in your operations, shipping in weeks rather than months. - [What If Agile Was the Detour?](https://www.techfabric.com/blog/what-if-agile-was-the-detour): Agile answered expensive execution, not planning. As AI collapses build time, deep upfront specification plus fast execution ships in weeks. - [Agentic Systems Without the Chaos: Building AI That Stays on the Rails](https://www.techfabric.com/blog/agentic-systems-without-the-chaos-building-ai-that-stays-on-the-rails): The engineering patterns that keep an autonomous system reliable in production. Guardrails, observability, circuit breakers, and where each one belongs. - [The Build vs. Buy Decision for Enterprise AI (When Off-the-Shelf Fails You)](https://www.techfabric.com/blog/the-build-vs-buy-decision): Faster models and larger context windows make a custom AI build viable in weeks, and data sovereignty exposes vendor limits. When to buy, build, or do both. - [How to reach a new market without rebuilding your core platform](https://www.techfabric.com/blog/unlock-a-new-market-without-rebuilding-your-core-platform): Mature platforms stall because onboarding smaller customers gets expensive, not because of scale. Changing access rather than the core can restart growth. - [What Teams Get Wrong About Outages and Operational Risk](https://www.techfabric.com/blog/what-teams-get-wrong-about-outages-and-operational-risk): Cloudflare, AWS and Azure all go down, and no internal engineering effort prevents it. What a dependent service should be doing while it waits. - [DASF - Databricks AI Security Framework](https://www.techfabric.com/blog/dasf---databricks-ai-security-framework): DASF is the Databricks AI Security Framework, a map of 62 AI risks and their controls. What it covers, and how to put those controls in the runtime. - [Beyond basic data catalogs: how Unity Catalog solves real enterprise governance challenges](https://www.techfabric.com/blog/beyond-basic-data-catalogs-how-unity-catalog-solves-real-enterprise-governance-challenges): Unity Catalog is the permission boundary we refuse to route around. A Health Check finds coverage that stops halfway, and agents inherit a person's grants. - [Migrating from Legacy Data Warehouses to Databricks Data & AI Platform](https://www.techfabric.com/blog/migrating-from-legacy-data-warehouses-to-databricks-data-ai-platform): Warehouse migrations slip on scope, not conversion. Two weeks on TechFabric Airlift inventories the estate, agrees exclusions and hands you a wave plan. - [From Data Warehouses to Data Intelligence: Why Your Next Platform Choice Will Define the Next Decade](https://www.techfabric.com/blog/from-data-warehouses-to-data-intelligence-why-your-next-platform-choice-will-define-the-next-decade): Transform your data strategy: From warehouses to AI-powered intelligence platforms. Discover why your platform choice defines the next decade. - [Driving Real-World Value with Intelligent Business Intelligence, BI in the era of AI](https://www.techfabric.com/blog/driving-real-world-value-with-intelligent-business-intelligence---bi-in-the-era-of-ai): Databricks AI/BI in practice. Conversational analytics, semantic understanding, and dashboards people actually open. - [Rethink AI: Building a Horizontal Layer for Enterprise-Wide Transformation](https://www.techfabric.com/blog/rethink-ai-building-a-horizontal-layer-for-enterprise-wide-transformation): Treating AI as a horizontal layer across the business rather than a single-app use case, and what that changes about operations and efficiency. - [Using Application Insights as a Sink for logging in ASP.NET Core](https://www.techfabric.com/blog/using-application-insights-as-a-sink-for-logging-in-asp-net-core): ASP.NET Core has very extensible logging interface. I provides an ILogger interface along with few default implementations that can be used to log data. - [Introducing Azure AI Foundry: A CTO's Guide to Starting and Scaling AI](https://www.techfabric.com/blog/introducing-azure-ai-foundry-a-ctos-guide-to-starting-and-scaling-ai): A CTO's guide to Azure AI Foundry. Pre-trained models, fine-tuning them for your business, and deploying AI securely once it works. - [Using Traefik Reverse Proxy For Securing Microservices On Azure Service Fabric](https://www.techfabric.com/blog/using-traefik-reverse-proxy-for-securing-microservices-on-azure-service-fabric): Securing microservices on Azure Service Fabric with a Traefik reverse proxy. Service Fabric is Microsoft's answer to Docker Swarm and Kubernetes. - [Taking The Mystery Out Of Microsoft Azure And What It Can Do For Your Business](https://www.techfabric.com/blog/taking-the-mystery-out-of-microsoft-azure-and-what-it-can-do-for-your-business): What Microsoft Azure actually does for a business, in plain terms. Growth, cost and efficiency, without the platform vocabulary. - [Setting Up Production Ready Infrastructure For Microservices](https://www.techfabric.com/blog/setting-up-production-ready-infrastructure-for-microservices): Service Fabric is Microsoft's microservices orchestrator. Service discovery, fault tolerance and containers, set up for production rather than a demo. - [3 Ways To Run Automated Tests On Azure DevOps](https://www.techfabric.com/blog/3-ways-to-run-automated-tests-on-azure-devops): Unit tests on the CI build, Selenium UI tests in the release pipeline, and Test Plans on demand. Three approaches on Azure DevOps, with the YAML for each. - [From Spreadsheet to System: How We Automated Our Internal Processes with Microsoft Dynamics](https://www.techfabric.com/blog/from-spreadsheet-to-system-how-we-automated-our-internal-processes-with-microsoft-dynamics): TechFabric ran on spreadsheets with a team of eight. What we replaced them with in Microsoft Dynamics, and what we learned building it on ourselves. - [AI at Scale: Managing Cloud Multi-Tenant AI Infrastructure with Temporal](https://www.techfabric.com/blog/ai-at-scale-managing-cloud-multi-tenant-ai-infrastructure-with-temporal): Scaling, cost and security in a multi-tenant AI application. How TechFabric uses Temporal to orchestrate the infrastructure workflows underneath. - [Supply Chain: Building it Stronger, Smarter and Faster using SmartCert](https://www.techfabric.com/blog/supply-chain-building-it-stronger-smarter-and-faster-using-smartcert): SmartCert solves a long-standing supply chain problem in a way few products do. What it is, how it works, and the question it keeps raising. - [Off the Shelf vs. Custom Software: Selecting the Optimal CRM for your Business](https://www.techfabric.com/blog/off-the-shelf-vs-custom-software-selecting-the-optimal-crm-for-your-business): Picking a CRM between off-the-shelf and custom. Where each one fits, what the switching costs are, and the questions that decide it. - [How We Created A Multi-Tenant, Multi-Cloud, & Multi-Model AI Platform with Temporal, Fiber Copilot](https://www.techfabric.com/blog/how-we-designed-a-multi-tenant-multi-cloud-and-multi-model-ai-platform----fiber-copilot): How we built Fiber Copilot, a multi-tenant, multi-cloud and multi-model AI Ops platform for standing up chatbots and copilots quickly. - [Durable RAG with Temporal and Chainlit](https://www.techfabric.com/blog/durable-rag-with-temporal-and-chainlit): Calling different tools from RAG pipeline can be difficult. This blog post describes how to use temporal for durable execution of RAG tools in Chainlit. - [Using Custom Software Development Data For supply Chain Optimization](https://www.techfabric.com/blog/using-custom-software-development-data-for-supply-chain-optimization): Demand for Microsoft Dynamics 365 in supply chain is rising on data analysis and automation in logistics, and on partnerships that keep it consistent. - [Supply Chain Optimization: Do I Innovate, Or Do I Wait?](https://www.techfabric.com/blog/supply-chain-optimization-do-i-innovate-or-do-i-wait): Supply chain optimization rewards the companies that move and punishes the ones that wait. How to tell which position you are actually in. - [Dynamics 365 CRM: Transforming Your Sales Quote Process](https://www.techfabric.com/blog/dynamics-365-crm-transforming-your-sales-quote-process): Building a sales quote process in Dynamics 365 CRM. Product catalogue, price lists, approval rules, quote-to-order, and the customizations teams end up needing. - [What Every CTO Needs To Know About Databricks](https://www.techfabric.com/blog/what-every-cto-needs-to-know-about-databricks): A CTO's guide to Databricks and what it does with big data. Learn essential strategies to maximize your data potential and drive innovation. - [Why business can't afford to ignore generative AI: 10 benefits that matter](https://www.techfabric.com/blog/why-business-cant-afford-to-ignore-generative-ai-10-game-changing-benefits): Ten reasons enterprises adopt generative AI, starting with automating work, improving decisions and producing ideas a team would not have reached. - [UI/UX at Scale: It's Time To Move to Design Systems](https://www.techfabric.com/blog/ui-ux-at-scale-its-time-to-move-to-design-systems): Design systems let a company scale its front end without the styling drifting. Why more organizations are moving to one, and what it takes. - [Transform Your Data Visibility, Transform Your Organization](https://www.techfabric.com/blog/transform-your-data-visibility-transform-your-organization): Data rich, insight poor. Collecting data has never been easier, and it is worth nothing until your organization can read something out of it. - [The Power of Data, AI and Digital Transformation](https://www.techfabric.com/blog/the-power-of-data-ai-and-digital-transformation): Digital work shortens the road to a product launch. An agile MVP gets something in front of customers sooner and reaches more of them. - [The Imperative of Durable Execution in App Dev: Unveiling Temporal's Framework](https://www.techfabric.com/blog/the-imperative-of-durable-execution-in-app-dev-unveiling-temporals-framework): Why durable execution matters, and how Temporal keeps a distributed application running through the failures that would otherwise lose its work. - [The Effects Of Cypress Component Testing On Your React App](https://www.techfabric.com/blog/the-effects-of-cypress-component-testing-on-your-react-app): What Cypress component testing does to a React codebase, and how developers and automation engineers working together cuts the cost of fixing things later. - [Temporal: Airlines Booking Demo Application](https://www.techfabric.com/blog/temporal-airlines-booking-demo-application): The key concepts of Temporal, shown through an airline ticket booking demo. How the framework makes a complex workflow straightforward to build. - [Secure Microservices Infrastructure Architecture by Design](https://www.techfabric.com/blog/secure-microservices-infrastructure-architecture-by-design): Security in a microservices architecture, designed in rather than added afterwards. What changes once an application is many services instead of one. - [Robotic Automation: The Future Of Supply Chain Optimization](https://www.techfabric.com/blog/robotic-automation-the-future-of-supply-chain-optimization): Robotics automation technologies are already transforming the world of supply chain dynamics across nearly every business sector and industry. - [Mastering the Art of Prompt Engineering for Generative AI](https://www.techfabric.com/blog/mastering-the-art-of-prompt-engineering-for-generative-ai): Prompt engineering is writing precise instructions and then iterating on what comes back. How to get accurate, original output from a generative model. - [It's Time To Move Your Company To The Cloud: Here's Why](https://www.techfabric.com/blog/its-time-to-move-your-company-to-the-cloud-heres-why): Cloud removes the physical servers and the data centre. Cost, flexibility, elasticity and resource use, and why waiting has stopped paying. - [Industry Turning Point: Large Language Models (LLMs)](https://www.techfabric.com/blog/industry-game-changer-large-language-models-llms): What large language models are, how they understand and generate text, and what they change about the way people reach information at work. - [How Temporal Has Transformed My Development Approach](https://www.techfabric.com/blog/how-temporal-has-transformed-my-development-approach): What changed after adopting Temporal. Less boilerplate, workflow state that survives a restart, and a different way of thinking about long-running work. - [Hiring Databricks Specialists: 12 Expert Insights You Need to Get it Right](https://www.techfabric.com/blog/hiring-databricks-specialists-12-expert-insights-you-need-to-get-it-right): Twelve things to get right when hiring Databricks specialists in-house, from people who have built the teams and know what they screen for. - [Dynamics 365 CRM - Why Are So Many Companies Migrating To It?](https://www.techfabric.com/blog/dynamics-365-crm---why-are-so-many-companies-are-migrating-to-it): Why companies keep moving to Microsoft Dynamics 365 CRM, and what changes for sales, service and the reporting that sits over both. - [Create A Wide Configuration For Running Cypress In GitHub Actions!](https://www.techfabric.com/blog/create-a-wide-configuration-for-running-cypress-in-github-actions): A Cypress configuration for GitHub Actions that covers several environments, browsers and resolutions, and drops into an existing CI/CD pipeline. - [Breaking Down Silos: Integrating AI Across Business Functions](https://www.techfabric.com/blog/breaking-down-silos-integrating-ai-across-business-functions): What happens when AI runs across business functions rather than inside one. Cases from Amazon and KLM, and the obstacles both had to get past. - [Accelerate automation: what Power Automate does for productivity](https://www.techfabric.com/blog/accelerate-automation-power-automate-revolutionizes-productivity-the-top-5-reasons-you-should-be-using-it): Five reasons teams pick Microsoft Power Automate. Pre-built flows, a designer non-engineers can use, and the AI models that come with it.