Azure Storage Discovery now offers advanced capacity insights
Azure Storage Discovery is introducing advanced capacity insights to help customers gain deeper visibility into their data estate, identify inactive or inefficiently stored data, understand storage composition and retention considerations, and pinpoint resources for further investigation and optimization.Syksyn 2026 Tekniset ja myynnin Kumppanitunnit
Microsoftin tekniset ja myynnille suunnatut Kumppanitunnit järjestetään nykyään Microsoftin globaalilla Skilling Hub -sivustolla, josta ne ovat kätevästi saatavilla myöhemmin tallenteina materiaaleineen. Rekisteröidy Skilling Hub -portaaliin, josta löydät kaikki Microsoftin kumppanikoulutukset yhdessä paikassa eri kielillä tai tekstitettyinä. Rekisteröityessäsi voi valita ne kielet, kuten suomi, jollaista sisältöä haluat ensisijaisesti nähdä englannin kielisen koulutussisällön lisäksi. Kumppanitunti on joka toinen perjantai klo 10–11 järjestettävä Microsoftin kumppaniwebinaari, joka on tarkoitettu kaikille Microsoftin kumppaneille. Tekniset ja kaupalliset aiheet vuorottelevat ja olet tervetullut molempiin webinaareihin. Webinaareissa keskitymme Microsoftin ratkaisualueiden teknologioiden mielenkiintoisiin uutuuksiin, MAICPP-kumppaniohjelmaan, kumppanietuihin ja ratkaisumyyntiin. Microsoftin suomalaiset arkkitehdit, tuotepäälliköt, ratkaisumyyjät ja kumppanivastaavat ovat poimineet kiinnostavia ja hyödyllisiä aiheita, joita he vuorollaan esittelevät. Syksyn 2026 ohjelma Alla ovat suunnitellut päivät ja teemat Syksylle 2026, joiden tarkka aihe päivitetään aina lähempänä esityspäivää tälle sivulle. 18.9. Kaupallinen Kumppanitunti: Partner START FY27 - webinaari Katso tallenne tästä linkistä: Etkö päässyt mukaan START FY27 Kickoff -tapahtumaan? Webinaarissa saat kattavan katsauksen tapahtumassa käsiteltyihin FY27: n liiketoimintamahdollisuuksiin, strategisiin painopisteisiin sekä Microsoftin kumppaneille suunnattuihin ohjelmiin ja resursseihin. Puhujat: Kalle Saarikannas, Liiketoimintajohtaja, AI Business Solutions Teemu Lainiola, Liiketoimintajohtaja, Cloud & AI Platforms Mereta Laukkanen, Sr Partner Development Manager Jonna Kaarlenkaski, Partner Development Manager Intern Jonna Fred-Jokela, Sr Solution Engineer Manager 2.10. Tekninen Kumppanitunti: Copilot Cowork: Copilot Credits ja kustannusten hallinta Katso tallenne tästä linkistä! Tässä teknisessä kumppanitunnissa käymme läpi Copilot Coworkin toimintamallin, kulutuksen seurannan sekä kustannusten hallinnan. Lisäksi tarkastelemme, millaisia mahdollisuuksia kulutuspohjainen AI luo kumppaneiden palveluliiketoiminnalle. Puhujat: Henri Nevalainen, Microsoft Niko Hiltunen, IAMCP 9.10. Kaupallinen Kumppanitunti: Onko julkisen pilven suvereniteetti riittävä huomioiden sen kaikki hyödyt? Katso tallenne tästä linkistä! Euroopan unioni valmistelee uusia pilvi- ja tekoälyinfrastruktuuria koskevia linjauksia. Samanaikaisesti organisaatiot pohtivat, miten digitaalinen suvereniteetti, tekoälyn käyttöönotto, kyberturvallisuus ja sääntelyvaatimukset voidaan sovittaa yhteen käytännössä. Tervetuloa ajankohtaiseen webinaariin, jossa tarkastelemme Euroopan muuttuvaa pilviympäristöä ja mitä digitaalinen suvereniteetti tarkoittaa suomalaisille organisaatioille käytännössä. Lisäksi kerromme viimeisimmät tilannetiedot pilvipalveluiden kvanttiturvallisuuden ja Suomen datakeskushankkeiden osalta. Puhujat: Juha Karppinen, National Technology Officer, Microsoft Timo Salminen, Partner Solution Architect, Microsoft Niko Hiltunen, IAMCP 22.10. Kaupallinen Kumppanitunti: Frontier Transformation - Next level IQ & Uusi näkökulma kumppanin rooliin AI-aikakaudella Katso tallenne tästä linkistä! AI-transformaatio on siirtymässä yksittäisten työkalujen käyttöönotosta kohti laajempaa työn ja toimintamallien uudistamista. Kumppanitunnilla havainnollistamme käytännön esimerkin avulla, kuinka organisaation toimintaa voidaan tarkastella digitaalisen genomin kautta, organisaatiosta ja tiedosta aina työhön, mikrotehtäviin ja agentteihin asti. Samalla tarkastelemme, mitä muutos tarkoittaa kumppaneille: miten tunnistaa uusia asiakasarvon mahdollisuuksia, rakentaa vaikuttavampia AI-keskusteluja ja auttaa asiakkaita etenemään kohti agenttipohjaista toimintamallia. Tule mukaan katsomaan demo ja pohtimaan, mitä seuraavan vaiheen AI-transformaatio mahdollistaa sinun asiakkaillesi. Puhujat: Hans Dolk, Asiakkuusjohtaja / Defence & Intelligence, Public Safety and National Security Juha Liljeblom,Teknologia Strategisti / Defence & Intelligence, Public Safety and National Security 23.10. Kaupallinen Kumppanitunti: Uudistunut Microsoft Copilot: ominaisuudet, käyttötavat ja kustannusten hallinta Rekisteröidy mukaan tästä linkistä! Microsoft Copilot uudistuu merkittävästi. Copilotista rakentuu paikka, jossa käyttäjä voi kysyä, delegoida, rakentaa ja automatisoida työtä. Uudet Home-, Code- ja Autopilot-kokemukset laajentavat Copilotin käyttöä päivittäisestä AI-avustamisesta kohti pidempikestoista agenttityötä ja käyttäjien itse rakentamia ratkaisuja. Webinaarin tavoitteena on antaa kumppaneille selkeä kokonaiskuva siitä, miten uudistunut Copilot muuttaa asiakkaiden AI:n käyttötapoja, lisensointi- ja kulutuskeskustelua sekä kumppaneille avautuvia mahdollisuuksia. Puhujat: Harri Mikkanen, Microsoft Tuulia Piehl, Microsoft Henri Nevalainen, Microsoft Eetu Hämäläinen, IAMCP 30.10. Tekninen Kumppanitunti: Villi vai hallittu? Tekoälyagentit hallintaan Microsoft Agent 365:llä Rekisteröidy mukaan tästä linkistä! Agentteja syntyy organisaatioihin nopeammin kuin kukaan ehtii niitä seurata. Niitä rakentavat työntekijät, niitä hankitaan kumppaneilta ja niitä kytketään liiketoiminnan dataan ja työkaluihin. Kenellä on oikeudet mihinkin, kuka agentin omistaa, kun tekijä lähtee talosta, ja mihin luottamuksellinen data päätyy? Tässä teknisessä kumppanitunnissa käymme läpi, miten Microsoft Agent 365:llä saadaan agentit näkyviin, hallintaan ja suojattua työkaluilla, jotka ovat asiakkailla todennäköisesti jo käytössä: Microsoft 365 -admin-portaalilla, Entralla, Purviewilla ja Defenderillä. Tarkastelemme eroa "villin" ja "hallitun" agentin välillä. Villi agentti julkaistaan suoraan kaikille ilman tarkistusta, ja sillä on tekijänsä kaikki oikeudet. Hallittu agentti kulkee hyväksyntäprosessin kautta, sillä on nimetty omistaja ja sen pääsy on rajattu Entran, Purviewin ja Defenderin käytännöillä. Puhujat: Heta Kuosa, Microsoft Christine Dienel, Microsoft Risto Lahi, IAMCP 6.11. Kaupallinen Kumppanitunti: Microsoft 365 Copilot, Fabric ja GitHub Copilot: kokeiluista tuotantoon – mitä kumppanin pitää tietää nyt Rekisteröidy mukaan tästä linkistä! Microsoft 365 Copilot on uudistunut kokonaisuudeksi, joka tarjoaa neljä erilaista tapaa hyödyntää tekoälyä työssä: Chat toimii apuna päivittäisessä työssä, Cowork vie monivaiheisia tehtäviä alusta loppuun, Code mahdollistaa sovellusten ja työkalujen rakentamisen, ja Autopilot pitää työn etenemässä taustalla. Tällä Kumppanitunnilla keskitymme erityisesti Copilot Coworkiin sekä tutustumme myös Coden ja Autopilotin mahdollisuuksiin. Copilotin tehokas hyödyntäminen edellyttää kuitenkin myös laadukasta ja tarkoituksenmukaista dataa. Siksi tarkastelemme, miten Microsoft Fabric tuo hallitun ja kontekstualisoidun liiketoimintadatan Copilotin hyödynnettäväksi ja millainen rooli datalla on tekoälyratkaisujen rakentamisessa. Lisäksi näytämme, miten Codella rakennettua työkalua voi kehittää eteenpäin esimerkiksi GitHub Copilotilla, kun siitä kasvaa vaativampi tuotantosovellus. Lopuksi puhumme siitä, miten kumppanit voivat auttaa asiakkaitaan siirtymään kokeiluista laajaan käyttöön ja millaisia liiketoimintamahdollisuuksia se avaa. Puhujat: Kalle Saarikannas, Liiketoimintajohtaja, AI Business Solutions Teemu Lainiola, Liiketoimintajohtaja, Cloud & AI Platforms 20.11. Tekninen Kumppanitunti: Rekisteröitymislinkki päivittyy tähän Puhujat: 4.12. Kaupallinen Kumppanitunti: Rekisteröitymislinkki päivittyy tähän Puhujat: 18.12. Tekninen Kumppanitunti: Agentit Azuressa Rekisteröitymislinkki päivittyy tähän Azure Copilot pitää sisällään uusia palveluiden elinkaarenhallintaan liittyviä agentteja. Tule kuulemaan, miten voit hyödyntää näitä omissa palveluissasi! Puhujat: Timo Salminen, Partner Solution Architect, Microsoft
Modernize Together: The Power of Partner Community in the AI Era
Enterprise transformation is moving faster than ever. As organizations modernize applications, migrate critical workloads, and prepare their data for AI, they need more than technology. They need trusted guidance, proven experience, and a clear path from strategy to measurable business outcomes. Microsoft partners play a vital role in that journey. Yet even the strongest partner practices benefit from being connected to a broader community—one where peers can exchange ideas, learn from real-world experiences, stay current on Microsoft innovations, and work through the challenges that accompany complex enterprise frontier transformation. Why partner community matters Modernization and AI opportunities rarely follow a single, predictable path. Customer environments are complex, business priorities evolve, and new technologies and programs continue to emerge. A strong partner community helps members navigate that change together rather than in isolation. By participating actively, partners can: Learn from the field: Hear how peers are approaching customer conversations, assessments, migrations, and modernization programs—and apply those lessons to their own practices. Stay close to Microsoft: Receive timely updates on strategic priorities, skilling and sales programs, product roadmap, resources, and opportunities that can help strengthen customer engagements. Build trusted relationships: Connect with organizations facing similar challenges, exchange practical guidance, and identify opportunities to collaborate. Accelerate execution: Use shared insights and proven approaches to reduce reinvention, improve delivery confidence, and move customer opportunities forward faster. Shape what comes next: Bring field perspectives into the conversation and help inform how the broader ecosystem supports enterprise modernization. Community participation is not simply about receiving information. Its greatest value comes from contribution: asking questions, sharing what works, discussing what does not, and helping peers solve problems. That exchange turns individual experience into collective capability—and helps the entire partner ecosystem deliver greater customer impact. Join the Azure Migration & Modernization Partner community The Azure Migration & Modernization Partner community is a closed community of enterprise partners that meets monthly. It brings together Microsoft Enterprise partners focused on helping customers modernize their IT and data estates, establish secure cloud foundations, and create the conditions for AI and Analytics innovation. Each session creates space to hear updates, exchange insights, discuss common challenges, and connect with peers who understand the realities of enterprise frontier transformation. For partners building or expanding a modernization practice, this is an opportunity to strengthen capabilities, discover new approaches, and remain connected to the evolving Microsoft ecosystem. We invite eligible enterprise partners to join, participate, and contribute by clicking on Azure Migration and Modernization Partner Forum, Don't miss these new FY27 opportunities Organizations across industries are looking to modernize to innovate with AI and as you work with your customers, do not miss the chance to leverage two new Frontier Accelerate offers: Databases Presales Assessment + Proof of Value, which rewards strategic work to assess databases for modernization and AI use cases. Databases Conversion Bonus, which rewards eligible migrations from AWS and Google Cloud to Azure Databases. Together, these offers can help partners shape data opportunities earlier, carry them into execution, grow services revenue and Azure consumption, and help customers establish a trusted data foundation for AI. Review Frontier Accelerate partner-nominated resources and explore Frontier Accelerate for Azure to learn more. Modernization is a team effort. Join the community, learn from the ecosystem, and help enterprise customers move from AI ambition to impact.
Is APIM Standard_V2 tier viable option from security standpoint if you have Developer portal enabled
From my understanding with APIM Standard_v2 tier you can only configure the gateway endpoint with private endpoint and have that behind something like application gateway to allow the ability to have WAF in front of it. But, the developer portal is reachable only over its public address and cannot have private endpoint. Even after adding a custom domain on the Developer portal endpoint, the default <name>.developer.azure-api.net address keeps responding and returns 200. If you set all your APIs to require approval for subscription , then for a production scenario where you would allow "Try this operation" functionality on your APIs through developer portal, is it safe to still use standard_v2 tier. Or are there some security problems associated with that?
Optimize selective analytics reads in Azure Data Lake Storage with ABFS Vectored Read
ABFS Vectored Read helps compatible analytics engines reduce request overhead when reading selected portions of columnar files in Azure Data Lake Storage. By coordinating multiple noncontiguous byte ranges through the Azure Blob File System (ABFS) driver, it can combine nearby ranges into fewer storage requests and execute those requests asynchronously. For data engineers working with selective Parquet queries, this brings the storage read pattern closer to what the query needs: a coordinated set of ranges rather than a collection of independent small reads. When the Parquet reader supports vectored I/O and the runtime includes a compatible ABFS client, Spark workloads that use higher-level APIs can enable this capability through configuration - without rewriting queries, changing application logic, or migrating data. Why selective reads need coordinated I/O Consider a query that selects a few columns from a Parquet dataset and filters out most row groups. The reader can skip much of the data the query doesn't need, but the data it needs may be spread across different parts of the file. Reading each range independently can create many small storage requests. Each request carries network and processing overhead, so selecting less data doesn't necessarily remove the cost of coordinating those reads. Vectored Read lets a compatible reader provide the ranges together, giving the client an opportunity to plan the I/O as a group. How ABFS Vectored Read works A compatible reader submits the file ranges it needs together. ABFS validates and sorts the ranges, combines nearby ranges when appropriate, and divides the resulting work to fit its read buffers. It then queues the storage requests asynchronously and returns the requested bytes to the corresponding range buffers. Illustrative request pattern, not a benchmark. Actual grouping depends on range layout and client configuration; coalesced storage requests can include bytes between the requested ranges. This is a client-side optimization. It does not change the file format or rewrite your stored data. The engine still receives the data for the ranges it requested. What this means for your workloads For compatible selective-read workloads, Vectored Read offers: Less request overhead: Combining nearby ranges can reduce separate storage requests and network round trips. Coordinated I/O: Asynchronous reads allow the client to work on multiple requested ranges without treating every range as an isolated operation. Configuration-based adoption: Compatible Spark workloads using the Hadoop Parquet and ABFS path can use the feature without rewriting their queries. The best starting point is a workload that reads selected portions of Parquet files through abfs:// or abfss://. Full sequential scans may see less benefit, and engines that bypass the Hadoop/ABFS path do not use this capability. Support depends on the Hadoop, hadoop-azure, and parquet-hadoop libraries included in the runtime, not only on the Spark version. See Availability and resources for the minimum versions and verification guidance. The benefit depends on the number, size, and spacing of requested ranges, the coalescing configuration, storage and network latency, concurrency and caching. Combining ranges can reduce requests and round trips, but it can also read additional bytes between noncontiguous requested ranges. Compare query duration, storage transactions, bytes read, and resource utilization against a controlled baseline using representative data and concurrency. Get started First, verify that your runtime contains Apache Hadoop 3.3.5 or later, including the hadoop-azure module, and parquet-hadoop 1.12.3 or later. The presence of an ABFS URI alone does not establish that the optimized implementation is installed. For Spark, enable the Parquet setting before the application starts, using the spark.hadoop. prefix: spark-submit \ --conf spark.hadoop.parquet.hadoop.vectored.io.enabled=true \ <other-options> \ <application> Replace the command placeholders with your normal submission options and application. Set the property explicitly rather than relying on a default, which can vary by packaged Parquet version. For managed services, use the service's supported cluster or session configuration mechanism. Availability and resources Azure Databricks does not currently support ABFS Vectored Read because its runtime ships an ABFS version that does not include this capability. In addition, Photon does not use the ABFS driver for data access, even when a workload uses an abfs:// or abfss:// URI. Therefore, the presence of an ABFS URI alone does not indicate that Vectored Read is available. For other packaged or managed runtimes, verify that the environment includes Apache Hadoop 3.3.5 or later with the hadoop-azure module, and parquet-hadoop 1.12.3 or later. Start with one representative selective-read workload and compare it with your baseline. For background, see the ABFS driver overview.How to maintain and update Azure Function Connector deployed via WEBSITE_RUN_FROM_PACKAGE?
Background We recently completed a migration from the legacy Microsoft Sentinel Box connector to the newer Box Events (CCP) connector. During the migration we discovered that the legacy Box connector was implemented using: Azure Functions JWT authentication WEBSITE_RUN_FROM_PACKAGE The Function App is configured as: WEBSITE_RUN_FROM_PACKAGE=https://aka.ms/sentinel-BoxDataConnector-functionapp and the Azure Function therefore operates in read-only mode because it is running directly from the package referenced by that URL. The migration to the new Box Events (CCP) connector has been successful and is now ingesting data into BoxEventsV2_CL using Client Credentials Grant (CCG) authentication. What prompted the question While reviewing the legacy Azure Function deployment, we noticed that: The Box Solution GitHub repository has received updates over time. The Box Solution itself has been updated (currently v3.16 in our environment). Analytics, parsers, and connector components have evolved. The legacy Azure Function deployment still appears to be tied to the original package referenced by WEBSITE_RUN_FROM_PACKAGE. This raised a broader lifecycle and maintenance question: Questions 1. Is the package referenced by: https://aka.ms/sentinel-BoxDataConnector-functionapp still actively maintained and republished by Microsoft? 2. If updates are made to the Box Solution source code or supporting files in the GitHub repository, are those updates expected to flow automatically to existing Azure Function deployments that use WEBSITE_RUN_FROM_PACKAGE? 3. If updates do not automatically flow to existing deployments, what was the intended maintenance model for customers using the legacy Azure Function connector? For example, were customers expected to: Continue using the Microsoft-hosted package URL indefinitely? Periodically redeploy using updated templates? Download and self-maintain the Function App package? Modify the Function App to stop using WEBSITE_RUN_FROM_PACKAGE? 4. Prior to the introduction of the Box Events (CCP) connector, how were customers expected to apply updates, dependency changes, security fixes, and other improvements to existing Box Azure Function deployments? 5. Is migration to the Box Events (CCP) connector now considered the only supported path for customers wishing to remain current with Microsoft Sentinel Box integrations? Reason for asking The goal is not to troubleshoot the new CCP connector. Rather, we are trying to better understand the support and maintenance lifecycle of the legacy Azure Function-based Box connector and how Microsoft intended customers to remain current when deployments were originally made using a Microsoft-hosted WEBSITE_RUN_FROM_PACKAGE endpoint. Any clarification from the Box Solution maintainers or Microsoft Sentinel team would be appreciated. NB I came across this notice after following some links from the Box Solution listed in Azure. https://github.com/Azure/Azure-Sentinel/blob/master/Solutions/known_issues.md#known-issue-2--solution-re-deployment-or-update That seems to indicate that somehow we are meant to Redeploy the entire package when there is an update and then somehow copy / update all the Custom Analytics Rules and Automations. Is there no way to merge the new modules and updates without basically having to start over with a side-by-side deployment?
Learned something useful today about updating multiparty private offers
I needed to update a multiparty private offer in Azure Marketplace today, and a vendor showed me a simple way to do it as the reseller. While the offer is still pending customer acceptance, select the checkbox next to it in Partner Center and click Withdraw at the top. This lets you edit your part of the offer and send it back to the customer. If the change involves something the vendor controls, they’ll need to update it on their side. In other marketplaces I’ve worked with, this can involve getting a new resale authorization and creating a new offer, so I appreciated how easy this was. This feature has probably been around for a while, but I only learned about it today. A small thing that makes day-to-day work easier and helps move sales along. Thought I’d share!Windows Autopilot ESP App Failures: My Troubleshooting Approach
Hi everyone, I’ve been working with Windows Autopilot and Microsoft Intune deployments and wanted to share a troubleshooting approach I use when a device fails during the Enrollment Status Page (ESP) Apps phase. When I see an Apps-stage failure, I normally start by checking: Which application failed in Intune. Whether the application is actually required during ESP. Win32 detection rules and installation commands. Application dependencies and assignment targeting. Autopilot/MDM diagnostic logs. Whether too many applications are being installed during ESP. One thing I’ve found particularly useful is separating applications that truly need to block provisioning from applications that can be installed after Autopilot has completed. I also try to avoid immediately resetting the device. Finding the failing application and understanding why it failed gives us a much better chance of preventing the same problem on future deployments. My basic workflow is: ESP failure → Identify failed app → Check assignment → Check install/detection → Review logs → Test with a controlled app set → Re-test Autopilot I'm interested in hearing how other Intune admins approach this. What logs or checks have helped you the most when troubleshooting ESP application failures? Thanks, Jayesh KedarDatabricks connect with Azure SQL Database
While following a Data Engineering hands-on tutorial on a YouTube channel, I ran into a JDBC connection failure in a Medallion architecture (Bronze to Silver pipeline). Interestingly, my initial connection configuration code runs successfully, but the actual read operation using spark.read.jdbc throws an error. Both connections use the same personal account login. Error: [FAILED_JDBC.CONNECTION] Failed JDBC jdbc:sqlserver:*********(redacted) on the operation: SQLSTATE: HV000 Why is spark.read.jdbc throwing a [FAILED_JDBC.CONNECTION] error with SQLSTATE: HV000 when the basic connection details are correct and working elsewhere? Any help to resolve this is greatly appreciated.
