Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

DECEMBER 12, 2022

Percona is a leading provider of unbiased open source database solutions that allow organizations to easily, securely, and affordably maintain business agility, minimize risks, and stay competitive. This release is focused on the Percona Server for MySQL-based deployment variant. It is based on Percona Server for MySQL 8.0.30-22.

Open Source 62

Open Source Azure Servers Database 62

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 112

Open Source Google Artificial Intelligence Infrastructure 112

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 194

Cloud Monitoring Network Azure 194

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

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 141

DevOps Software Engineering Open Source Infrastructure 141

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 Infrastructure 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 Infrastructure 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

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 Metrics Azure Tuning 40

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