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When one carrier in a market gets field-level risk classification, underwriting quality diverges. They price risk others cannot see. Adverse selection follows. Treaty terms reflect the difference. The advantage compounds each season. This is not a forecast — it is already in motion in agricultural lending and insurance in sub-Saharan Africa.

Your MIFIDPRU return has been submitted. But how easy is it to show exactly where the numbers came from? When a figure is challenged, having the answer isn’t always enough. You need the evidence behind it, from source data and calculations to adjustments and approvals. We help firms build a clearer, governed evidence trail around their regulatory reporting. Make every number defensible.

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New blog 🎉 Another chapter in our AutoMQ journey at Fresha from Nicoleta Lazar This time: migrating our outbox Kafka cluster from AWS MSK to AutoMQ | Low Latency Diskless Kafka® on S3. The tricky part wasn’t moving Kafka itself, but doing it without losing events or forcing a big-bang consumer cutover. The answer was a mix of dual writes, replay, and Inbox deduplication. No Kafka Linking this time as the target topics were populated independently and wire format was changed as well. This post covers the migration design, rollback safety, and how we moved application events to diskless Kafka on S3. 🌊 ⚙️ 📕 Read: https://lnkd.in/ePVD5dYv 💬 Comments welcome #ApacheKafka #AutoMQ #Fresha #DisklessKafka #AWS #MSK #DataEngineering #OutboxPattern

𝐃𝐢𝐬𝐤𝐥𝐞𝐬𝐬 𝐊𝐚𝐟𝐤𝐚 𝐈𝐬 𝐑𝐞𝐝𝐞𝐟𝐢𝐧𝐢𝐧𝐠 𝐭𝐡𝐞 𝐊𝐚𝐟𝐤𝐚 𝐖𝐨𝐫𝐥𝐝. By 2026, Diskless Kafka has moved beyond theory. Don't take my word for it. Check the comments for first-hand AutoMQ production stories, job posts naming AutoMQ, and open-source contributions to AutoMQ from engineers at leading companies. Traditional Kafka binds compute to broker-local disks. In the cloud, scaling means partition movement, overprovisioned storage, and stateful broker recovery. Diskless Kafka changes the model: object storage is the durable layer, and brokers provide stateless compute. AutoMQ preserves Kafka protocol compatibility, so clients and integrations keep working. Three public signals around AutoMQ stand out in 2026: open-source contributions, production and field adoption, and hiring demand. 𝐒𝐢𝐠𝐧𝐚𝐥 𝟏: 𝐎𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜𝐞 𝐜𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧𝐬 (𝐂𝐨𝐦𝐦𝐞𝐧𝐭 𝟏) Engineers from 🇺🇸 Stripe, 🇺🇸 Workday, 🇺🇸 IBM, 🇰🇷 NAVER, 🇺🇸 Vungle, 🇳🇱 Booking.com, 🇹🇷 Getir, and 🇨🇳 SF Express have contributed code, issue reports, performance feedback, and design proposals to AutoMQ. Thank you for helping strengthen the project and the broader Diskless Kafka ecosystem. 𝐒𝐢𝐠𝐧𝐚𝐥 𝟐: 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐟𝐢𝐞𝐥𝐝 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧 (𝐂𝐨𝐦𝐦𝐞𝐧𝐭 𝟐) 🇺🇸 𝐀𝐝𝐨𝐛𝐞: AutoMQ runs across 40+ services in an observability stack. Across the stack, the author reports cutting quarterly Datadog spend by roughly 70%. 🇰🇷 𝐋𝐆 𝐔+: 2.2 billion log messages per day through AutoMQ on AWS ECS. 🇸🇬 𝐆𝐫𝐚𝐛: Terabytes per hour, 3x throughput per CPU core, 3x cost efficiency, and partition reassignment reduced from up to six hours to under one minute. 🇺🇸 𝐋𝐚𝐫𝐚𝐯𝐞𝐥 𝐂𝐥𝐨𝐮𝐝: AutoMQ serves as the Kafka-compatible ingest layer for Grafana Mimir 3.0; metrics volume grew by roughly 10x. 🇬🇧 𝐅𝐫𝐞𝐬𝐡𝐚: About 150 Kafka Connectors migrated from Amazon MSK in days without downtime, with Kafka cost reduced by about 50%. 🇮🇳 𝐎𝐧𝐞𝐈𝐨𝐓: After one month in production, the author reports 62% lower infrastructure cost, roughly 25-second broker recovery, and scale-out from one to five brokers in under two minutes. 🇧🇪 𝐃𝐏𝐆 𝐌𝐞𝐝𝐢𝐚: A Strimzi, AutoMQ, and ClickHouse stack for media events, reported at about $750 per month before AWS discounts. 🇩🇪 𝐂𝐨𝐥𝐨𝐫𝐬: A three-node AutoMQ field deployment on Vultr and Cloudflare R2, refined through 23 convergence runs. 🇨🇦 𝐏𝐢𝐜𝐨𝐌𝐐: A new Durable Streams product whose Rust S3Stream engine is derived from AutoMQ S3Stream. 𝐒𝐢𝐠𝐧𝐚𝐥 𝟑: 𝐇𝐢𝐫𝐢𝐧𝐠 𝐝𝐞𝐦𝐚𝐧𝐝 (𝐂𝐨𝐦𝐦𝐞𝐧𝐭 𝟑) AutoMQ appears by name in public recruiting materials from 🇺🇸 DoorDash, 🇬🇧 Deliveroo, 🇺🇸 CoreWeave, and 🇬🇧 VTEX. • AutoMQ is open source with 10,000+ GitHub stars: https://lnkd.in/gZ96Ze7J • Start your 30-day AutoMQ Cloud free trial on the official website: https://lnkd.in/d6kwJEKu

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The Brisbane City Council is the local government body responsible for administering the City of Brisbane, the capital of Queensland. It is the largest local government in Australia, serving over 1.3 million people. Council engaged our young #Neurodivergent #Data analysts to update several critical datasets, enabling more effective emergency responses in the event of natural disasters. Having updated and accurate data was essential to mitigate and reduce natural disaster risks in the future and minimise impacts on people, infrastructure and the environment. In this case study, you’ll learn how Brisbane City Council has achieved its data goals while creating social impact for 11 young neurodivergent adults from its supply chain, putting the ‘Social’ into ESG. Find out more here: https://lnkd.in/g4tz5uqV #SocialEnterprise #SocialImpact #Brisbane #Queensland #GIS #Geospatial #GeographicInformationSystems #SpatialIntelligence #Neurodiversity #NeurodiversityInTheWorkplace Local Government Association of Queensland

[Webinar recording] Between them, Supper co-founders Lowell Putnam and Andrew Salamon have nearly a dozen exits. In this video, you'll learn about their decision frameworks, when OKRs help (vs. hurt), and how to make your board a true advantage: https://lnkd.in/ezSNDxhe Unlock a practical “operating system” for running a startup.

[Webinar recording] Between them, Supper co-founders Lowell Putnam and Andrew Salamon have nearly a dozen exits. In this webinar, they share decision frameworks, when OKRs help (vs. hurt), and how to make your board a true advantage: https://lnkd.in/ezSNDxhe Unlock a practical “operating system” for running a startup.

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If you're an AI Analyst, you've hit this wall: your prompts work for some queries but not others, you got stuck in loops, you try to guide the LLM through an analytical process and somewhere between the third and fourth step it loses the plot and you only realize it a few steps down the line… All these issues can be helped with better prompting and context engineering. This series explores prompt and context engineering specifically for analytics workflows: how to structure prompts, manage context, writing prompts manually and with tools and we are sharing the prompting framework we use in our application.

Data trust is key to implementing successful AI strategies. Learn how AI transforms faulty, fragmented data into a compliant, scalable and trusted resource for financial institutions.

‘Pull your finger out Australia, it’s not that bloody hard!’ That’s what our CEO, Geoffrey Smith quipped (he was probably in shock!) when he won the 2025 Queensland Australian of the Year, as part of the Australian of the Year Awards, in reference to how anyone can bring on autistic (and other #Neurodivergent) people who face significant employment barriers. This is not just a social issue, but an economic one. #Australia could add $43 billion to the economy EVERY YEAR if the appalling 34% autistic unemployment rate was reduced by a third! Considering that 20% of the population is neurodivergent (#Autism, #ADHD, #Dyslexia, etc), it’s inevitable that you have neurodivergent team members and don’t know about it. If you’re unsure where to begin, please don't hesitate to contact us. We’ve helped many organisations start their #Neurodiversity journey. Find out how any organisation can create a neuroinclusive workplace at our website: https://lnkd.in/gDNkRkYE #SocialImpact #SocialEnterprise #Neurodiversity #NeurodiversityInTheWorkplace #NeurodiversityPride #DiversityAndInclusion #Diversity #Inclusion #GIS #GeographicInformationSystems #SpatialIntelligence #Engineering #DigitalEngineering #ItsNotThatBloodyHard

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If you didn’t catch Attribute at KubeCon, Ignite, or re:Invent, now’s your chance. Experience FinOps that needs no tagging, no manual mapping, no guesswork. Attribute reveals shared-resource allocation, customer-level cloud cost, and multi-cloud profitability - from AI pipelines to AKS clusters to S3 and Cosmos DB consumption.

¿𝗧𝗿𝗮𝗯𝗮𝗷𝗮𝘀 𝗰𝗼𝗻 𝗲𝗻𝘁𝗼𝗿𝗻𝗼𝘀 𝗺𝘂𝗹𝘁𝗶𝗰𝗹𝗶𝗲𝗻𝘁𝗲? 📌 El 𝟭𝟵 𝗱𝗲 𝗳𝗲𝗯𝗿𝗲𝗿𝗼 aprenderás a cómo operar 𝗣𝗮𝗻𝗱𝗼𝗿𝗮 𝗙𝗠𝗦 en modo MSP durante 𝟰 𝗵𝗼𝗿𝗮𝘀, en un entorno real. • Monitorización estandarizada • Automatización operativa • Control remoto • Informes por cliente Sin teoría innecesaria. Sin adornos 📆 𝗥𝗲𝘀𝗲𝗿𝘃𝗮 𝘁𝘂 𝗽𝗹𝗮𝘇𝗮 𝗵𝗼𝘆 𝗺𝗶𝘀𝗺𝗼: https://lnkd.in/eXM9_gEE #PandoraFMS #MSP

A request comes in: “Provide all AI chat records related to this matter.” At that point, the question is not whether AI chat is being used. It’s whether those conversations exist as complete, governed records. In most environments, they don’t. Conversations aren’t captured as records, context is incomplete, and there’s no clear way to demonstrate that nothing is missing. That becomes a problem under audit or discovery.

"Most companies don't fail at AI because of the models. They fail because their data isn't ready." George Fraser, CEO of Fivetran, this week. Industry survey behind the quote: 15% production-ready. 41% running it anyway. Nearly 60% investing millions. Fivetran is measuring the pipeline. The warehouse. The structured 20%. The other 80% sits in SharePoint, OneDrive, file shares, mailboxes, archives. Unstructured. Ungoverned. That's what your AI agents actually read. A clean pipeline does not cover an open unstructured estate. The agent still acts on what nobody approved. We built the AI Readiness Score for exactly that blind spot. 2 minutes, 15 questions, five dimensions: security, data quality, accessibility, classification, governance. No demo. No email gate. ⬇️ Run it: Link in the first comment. If you don't own what AI sees, AI owns the story. #DataSOBEReignty #AIGovernance #AgenticAI

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