Remove Azure Remove Database Remove Example Remove Systems
article thumbnail

Bandwidth-friendly Query Profiling for Azure SQL Database

SQL Performance

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Although this can be somewhat helpful, it is not the same.

Azure 96
article thumbnail

No need to compromise visibility in public clouds with new Azure services supported by Dynatrace (Part 2)

Dynatrace

This is the second part of our blog series announcing the massive expansion of our Azure services support. Part 1 of this blog series looks at some of the key benefits of Azure DB for PostgreSQL, Azure SQL Managed Instance, and Azure HDInsight. Fully automated observability into your Azure multi-cloud environment.

Azure 154
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The right person at the right time makes all the difference: Best practices for ownership information

Dynatrace

The automated extraction of ownership information, for example, from Kubernetes annotations, is therefore essential. As teams and their structure and metadata are often maintained in a dedicated database, such as Microsoft Entra ID (formerly Azure Active Directory) or ServiceNow.

article thumbnail

Bring Your Own Cloud (BYOC) vs. Dedicated Hosting at ScaleGrid

Scalegrid

Where you decide to host your cloud databases is a huge decision. But, if you’re considering leveraging a managed databases provider, you have another decision to make – are you able to host in your own cloud account or are you required to host through your managed service provider? AWS , Azure. AWS , Azure.

Cloud 242
article thumbnail

Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Failure to provide timely and accurate answers erodes user trust, hinders adoption, and harms retention.

Cache 203
article thumbnail

Lessons learned from enterprise service-level objective management

Dynatrace

Every organization’s goal is to keep its systems available and resilient to support business demands. Lastly, error budgets, as the difference between a current state and the target, represent the maximum amount of time a system can fail per the contractual agreement without repercussions. Example 1: Architecture boundaries.

article thumbnail

Designing Instagram

High Scalability

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. The system will comprise of several micro-services each performing a separate task. Sample Queries supported by Graph Database.

Design 334