Remove Azure Remove Database Remove Training Remove Tuning
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Monitoring-as-code through Dynatrace’s Open-Source Initiative

Dynatrace

Dynatrace’s OneAgent automatically captures PurePaths and analyzes transactions end-to-end across every tier of your application technology stack with no code changes, from the browser all the way down to the code and database level. For instance, Zurich Insurance Company, applied this approach through Azure DevOps.

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Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. AWS speaker: T. AWS speakers: Wafae Bakkali, Isha Dua

AWS 52
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Microsoft Engineering loves SQLBits

SQL Server According to Bob

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. SELECT * FROM Azure Cosmos DB – Andrew Liu.

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Introduction to Wait Statistics

SQL Performance

Understanding what these mean and how to investigate them is critical so you don’t succumb to what I call ‘knee-jerk performance tuning’ and waste time and effort trying to fix a problem that isn’t actually a problem. One other resource for helping you understand waits is an online training course I recorded for Pluralsight – see here.

Servers 40
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Generative AI in the Enterprise

O'Reilly

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” Training models and developing complex applications on top of those models is becoming easier. report that the difficulty of training a model is a problem. We’ll say more about this later.)

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Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Automate schema management for some remaining databases. Cloud Platform.