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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

As a strategic ISV partner, Dynatrace and Azure are continuously and collaboratively innovating, focusing on a strong build-with motion dedicated to bringing innovative solutions to market to deliver better customer value. Read on to learn more about how Dynatrace and Microsoft leverage AI to transform modern cloud strategies.

Cloud 263
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The Best Way to Host MySQL on Azure Cloud

Scalegrid

So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. While Microsoft Azure does offer a managed solution, Azure Database, the solution has some major limitations you should know about before migrating your MySQL deployments. The Best Way to Host MySQL on Azure Cloud Click To Tweet.

Azure 219
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. What is a data lakehouse? How does a data lakehouse work?

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Polymorphic Data Storage. Greenplum’s polymorphic data storage allows you to control the configuration for your table and partition storage with the freedom to execute and compress files within it at any time.

Big Data 321
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What is function as a service? App development gets FaaS and furious

Dynatrace

Effective application development requires speed and specificity. Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. Infrastructure as a service (IaaS) handles compute, storage, and network resources.

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Easy SLA and SLO reporting for all your API endpoints with public synthetic HTTP monitors

Dynatrace

With today’s high expectations for the speed and availability of applications, you need a deep understanding of real user experiences to make the best business decisions. Here is the first batch of 15 public locations for HTTP monitoring: Chicago (Azure) ?, Virginia (Azure), N. London (AWS), London (Azure), Frankfurt (AWS) ?,

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Enhance data management with Grail: Ultimate guide to custom buckets and security policies

Dynatrace

Buckets are similar to folders, a physical storage location. Debug-level logs, which also generate high volumes and have a shorter lifespan or value period than other logs, could similarly benefit from dedicated storage. This improves query speeds and reduces related costs for all other teams and apps.