Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. Migrate databases intelligently. But what does it take to migrate your existing applications to the cloud? Reduced cost.

Cloud 165

Cloud Traffic Best Practices Strategy 165

SQL Server According to Bob

FEBRUARY 15, 2018

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.

Engineering 40

Engineering Azure Best Practices Servers 40

Dynatrace

NOVEMBER 12, 2021

You’re bringing more servers online in the cloud. AI that uses machine learning requires a slower process in order to train its algorithms. And that was well before AWS, Azure, and cloud. At Dynatrace, we use more of a deterministic kind of AI model, which is actually quicker in addressing these types of problems.

Cloud 172

Cloud Monitoring Network Azure 172

The Morning Paper

FEBRUARY 20, 2020

The motivation is not that inference will perform better inside the database, but that the database is the best place to take advantage of enterprise features (transactions, security, auditing, HA, and so on). These pipelines are stored directly in the database. End-to-end the picture looks like this: ( Enlarge ).

Processing 72

Processing Hardware Database Azure 72

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started This offers not just an audit train but an “audit trail on steroids.”‍A

Open Source 52

Open Source DevOps AWS Azure 52

IO River

NOVEMBER 2, 2023

This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A This offers not just an audit train but an “audit trail on steroids.”‍A Terraform is a revolution in the way we handle infrastructure. Hold that thought.

Open Source 40

Open Source DevOps AWS Azure 40

SQL Performance

MAY 7, 2019

I’m going to introduce you to wait statistics and explain how critical they are for troubleshooting workload performance in SQL Server. The execution of SQL Server’s internal code is done using a mechanism called threads. When that happens, SQL Server makes a note of why the thread had to wait and this is called the wait type.

Servers 40

Servers Azure Metrics Tuning 40

The Symphonia

DECEMBER 6, 2017

Despite the fanfare, therefore, AWS is still behind Microsoft Azure Functions when it comes to debug tooling. without web app servers?—?to Serverless Aurora promises to be the SQL Database to partner with Lambda that we’ve been hoping for. We continue to be fascinated to see how people will use Lambda@Edge over the coming years.

Serverless 40

Serverless Lambda AWS Traffic 40

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” A year after the first web servers became available, how many companies had websites or were experimenting with building them? report that the difficulty of training a model is a problem.

Open Source 107

Open Source Artificial Intelligence Google Infrastructure 107

O'Reilly

OCTOBER 19, 2021

Cloud-based data warehouses, such as Snowflake , AWS’ portfolio of databases like RDS, Redshift or Aurora , or an S3-based data lake , are a great match to ML use cases since they tend to be much more scalable than traditional databases, both in terms of the data set sizes as well as query patterns. Software Architecture.

DevOps 138

DevOps Software Engineering Open Source Infrastructure 138

High Scalability

NOVEMBER 25, 2019

Application Servers. Apache FTP server. Native desktop and server hosted clients that allow both interactive as well as hybrid sync access to the entire namespace. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Level of concurrent reads. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52