Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. Pay Per Use.

Serverless 243

Serverless Efficiency Lambda Azure 243

SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. Microsoft is continually working on improving their products and Azure SQL Database is no different.

Azure 55

Azure Database Serverless Hardware 55

Scalegrid

APRIL 16, 2020

AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure , DigitalOcean. Are you a startup that has free AWS or Azure hosting credits you’d like to use for your database hosting? Do you want to deploy in an AWS VPC or Azure VNET?

Cloud 242

Cloud Azure AWS Database 242

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. 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. How does function as a service work?

Development 250

Development Serverless Best Practices Lambda 250

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. What Exactly is Greenplum? At a glance – TLDR. The Greenplum Architecture. Greenplum Architectural Design.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Accordingly, 65% of all application workloads run in a JVM, including related application servers like Tomcat or Spring.

Open Source 342

Open Source Java Operating System Programming 342

SQL Performance

JUNE 21, 2019

I've been teaching and writing about common SQL Server mistakes for many years. This article will expand on my previous article and point out how these apply to SQL Server , Azure SQL Database , and Azure SQL Managed Instance. SQL Server Agent alerts. This situation applies to on-premises SQL Server and IaaS.

Servers 49

Servers Azure Hardware Database 49

Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. These databases require significant time commitment along with necessary technical skills plus hardware & software costs, all of which are without dedicated team assistance. These advantages come at an expense.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

APRIL 15, 2022

The agency executed one of the largest email migrations from on-premises Exchange servers to Microsoft Office 365 — moving almost 480,000 mailboxes to the cloud. “We used Dynatrace to monitor that large increase in servers. We started out by instrumenting 2,000 servers overnight.

Cloud 176

Cloud Infrastructure Innovation Monitoring 176

SQL Server According to Bob

DECEMBER 18, 2018

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. The Back Story.

Servers 90

Servers Media Cache Storage 90

SQL Server According to Bob

AUGUST 23, 2021

HOW IT WORKS: SQL Server Scheduler Affinity SQL Server uses 3 types of affinity to control where the SQL Server worker threads execute. Node Types SQL Server makes a specific distinction between scheduling and memory nodes. This allows you to scale up or down the SQL Server schedulers without restarting the SQL Server.

Servers 40

Servers Azure Operating System Database 40

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. billion in 2020 to $4.1

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

Dynatrace

SEPTEMBER 29, 2021

A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices. Running containers : Docker Engine is a container runtime that runs in almost any environment: Mac and Windows PCs, Linux and Windows servers, the cloud, and on edge devices.

Open Source 301

Open Source Traffic DevOps Cloud 301

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. What are some key characteristics of securing cloud applications?

Cloud 176

Cloud Open Source Architecture Monitoring 176

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. They need enough hardware to serve their anticipated volume and keep things running smoothly without buying too much or too little.

Cloud 165

Cloud Traffic Best Practices Strategy 165

ACM Sigarch

OCTOBER 10, 2022

Otherwise, there is a risk of repeating many of the mistakes from classical computers where, for many years, security at the hardware and architecture levels was an afterthought. With cloud-based access, anybody, including malicious users, can run their code on the real quantum computer hardware.

Architecture 72

Architecture Hardware Programming Cloud 72

Percona

FEBRUARY 24, 2023

In the Home Dashboard of PMM, a low CPU utilization on any of the database services that are being monitored could mean that the server is inactive or over-provisioned. Marked in red in Figure 1 is a server with less than 30% of CPU usage. become the responsibility of AWS, GCP, or Azure.

Cloud 117

Cloud Serverless AWS Storage 117

Scalegrid

JANUARY 8, 2024

Understanding Multi-Cloud and Hybrid Cloud Cloud computing has revolutionized the IT industry, offering a host of advantages including cost-effectiveness, increased agility, and access to cutting-edge hardware. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

cdemi

FEBRUARY 20, 2017

Let's talk about the elephant in the room; Serverless doesn't really mean that there are no Software or Hardware servers. It just means that from Software Development perspective, servers are abstracted and outsourced to another entity, so you don't need to worry about it. On Public Clouds: Microsoft: Azure Functions.

Serverless 64

Serverless Architecture Lambda Azure 64

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.

Performance 110

Performance Latency Cache Virtualization 110

The Morning Paper

FEBRUARY 20, 2020

An extended version of SQL Server, with an integrated ONNX Runtime engine executes the query. " This is very important performance-wise: unlike most traditional ML frameworks, NN engines support out-of-the-box hardware acceleration through GPUs/FPGAs/NPUs as well as code generation." Static analysis and the IR. The last word.

Processing 72

Processing Hardware Database Azure 72

Percona

DECEMBER 27, 2022

Cluster-level encryption is a security measure that encrypts data stored in a cluster of servers or storage devices. . Cluster-level encryption can help protect data at rest and in motion when transmitted between servers in the cluster. Several RDBMSs, including Oracle, MySQL, and Microsoft SQL Server, support it. PostgreSQL.

Database 93

Database Storage Servers Strategy 93

Dotcom-Montior

NOVEMBER 11, 2020

Well, to start, serverless, or serverless computing , doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., Applications that are running continuously on a dedicated server aren’t as impacted by latency issues.

Serverless 57

Serverless Monitoring Lambda Latency 57

SQL Server According to Bob

JULY 13, 2016

20+ years ago when I joined Microsoft I was handed a diskette (maybe it was two), and was told “Here is SQL Server. So I proceeded to install SQL Server 4.20 desktop machine (I won’t tell you the hardware details. There was a GUI as part of setup but within just a few clicks, SQL Server was installed and ready for use.

Servers 40

Servers Media Engineering Virtualization 40

SQL Performance

JANUARY 22, 2020

Table-valued parameters have been around since SQL Server 2008 and provide a useful mechanism for sending multiple rows of data to SQL Server, brought together as a single parameterized call. } ; We now have correct lengths for the column definitions, and we won't be passing them as LOBs over TDS to SQL Server.

Servers 55

Servers Azure Hardware Network 55

Percona

JULY 26, 2023

When you have multiple copies of your data on different database servers — or even better, in different data centers worldwide — replication provides a high level of fault tolerance in case of a disaster. This is a recipe for potential disaster and data loss if the physical server that supports those nodes has a problem.

Database 78

Database Servers Storage Strategy 78

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.

Performance 52

Performance Latency Cache Virtualization 52

Testsigma

MAY 19, 2021

DevOps on their own are meant to slash down the time taken from building a patch to deploying it on the servers. Infrastructure as a Service is the term used for those cloud-based solutions that provide complete infrastructure to the users including all the overheads, hardware, and networking facilities. Centralizes the Processes.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Amazon RDS is a hosted database service that supports a variety of relational database engines, including MySQL, PostgreSQL, MariaDB, Microsoft SQL Server, and Oracle.

AWS 52

AWS Database Serverless Storage 52

Adrian Cockcroft

NOVEMBER 13, 2023

The carbon footprint of a large rack mounted server is order-of-magnitude a ton of carbon a year. Of course, Azure and AWS use different methodologies to calculate their carbon footprint, which are currently based on monthly averages of the energy they purchase (using the market method, rather than what they use via the location method).

Energy 52

Energy Cloud Traffic Transportation 52

Scalegrid

JUNE 11, 2019

Popular examples of commercial databases include Oracle, SQL Server, and DB2. What is shocking in this report is the large gap between Oracle and 2nd place Microsoft SQL Server , as it maintains a much smaller gap according to DB-Engines. with a surprising lead over Azure at 10.8%. Top Open Source Databases.

Open Source 55

Open Source Database Cloud Infrastructure 55

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? Until AI reaches 100%, it’s still in the process of adoption. from education.

Open Source 107

Open Source Artificial Intelligence Google Infrastructure 107

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