Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. What is an MPP Database? What Exactly is Greenplum?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

SQL Server According to Bob

OCTOBER 26, 2017

You can find all blog posts (including this one) related to SQL Server 2017 on the bobsql blog. bobsql blog posts on SQL Server 2017. Here are the top blog posts to date on the main SQL Server blog related to SQL Server 2017. In-database Machine Learning in SQL Server 2017. All sorts of cool stuff here.

Servers 40

Servers Azure Open Source Database 40

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Cloud computing environments like AWS, Azure, and GCP offer a wide array of computing capabilities and capacity. In two clicks, he added Azure App Services Plan. Apps need to work on the same data sets.

Azure 170

Azure AWS DevOps Cloud 170

Dynatrace

APRIL 21, 2022

Configuration API for AWS and Azure supporting services. You can now get a list of all AWS and Azure supporting services on your cluster, by current version, using the AWS credentials API and Azure credentials API respectively. The post Dynatrace SaaS release notes version 1.239 appeared first on Dynatrace blog.

Azure 212

Azure Metrics AWS Monitoring 212

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). DL/I segment name for DL/I databases. The trace list now correctly supports sorting on the number of database calls. (APM-340223). The post Dynatrace SaaS release notes version 1.233 appeared first on Dynatrace blog. Masking v1. Masking v2. See Available metrics.

Lambda 177

Lambda AWS Metrics Azure 177

Dynatrace

SEPTEMBER 29, 2021

Amazon Elastic Kubernetes Service , Microsoft Azure Kubernetes Service , and Google Kubernetes Platform each offer their own managed Kubernetes service. appeared first on Dynatrace blog. Initially developed by Google, it’s now available in many distributions and widely supported by all public cloud vendors. Watch webinar now!

Open Source 298

Open Source Traffic DevOps Cloud 298

Dynatrace

DECEMBER 2, 2021

Settings > Anomaly detection > Database services. New analytics view for message queues. Azure VMs that are monitoring candidates are now labeled “no OneAgent” on the Azure region and scale set pages. (APM-323431). Settings > Anomaly detection > Services. Dynatrace API. APM-333310).

Lambda 190

Lambda Azure Metrics Monitoring 190

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. I, Andreas Grabner, helped to bring the blog to life! In white-box testing, we combine open-source load testing tools such as JMeter with Dynatrace’s observability and analytics capabilities. Dynatrace news.

Testing 214

Testing Open Source Metrics Infrastructure 214

Dotcom-Montior

OCTOBER 19, 2021

It also can integrate with cloud-based providers, like Amazon, Google Cloud Platform, Azure, and others. Monitoring & Analytics. Other tools rely on a separate database to pull monitoring data and metrics; however, Prometheus can integrate with an extensive list of other databases and third-party solutions.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dynatrace

MAY 28, 2020

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. This is what this blog is all about. Its a detailed tutorial blog that explains how you can make the first steps towards SLI/SLO-based Quality Gates. For this blog I will be using the same Node.js

Engineering 189

Engineering Performance Metrics Best Practices 189

Dotcom-Montior

FEBRUARY 19, 2022

It also can integrate with cloud-based providers, like Amazon, Google Cloud Platform, Azure, and others. Monitoring & Analytics. Other tools rely on a separate database to pull monitoring data and metrics; however, Prometheus can integrate with an extensive list of other databases and third-party solutions.

Engineering 52

Engineering Open Source Programming Monitoring 52

SQL Server According to Bob

DECEMBER 18, 2018

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. Microsoft SQL Server Database Engine Input/Output Requirements. Patrick and Purvi doing performance and regression analytics. Patrick and Purvi doing performance and regression analytics.

Servers 90

Servers Media Cache Storage 90

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Telemetry data from a serverless environment is quite different from a database or a virtual machine (VM), for example, but a business still needs to normalize and centrally manage all the information as it comes in.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

ScaleOut Software

AUGUST 25, 2020

This blog post explains how a software application built with a new software construct called real-time digital twins makes this possible. Using information from the company’s organizational database, it populates each twin with the employee’s ID, team ID, department type, and location. Tracking Employees Using Real-Time Digital Twins.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

This blog post explains how a software application built with a new software construct called real-time digital twins makes this possible. Using information from the company’s organizational database, it populates each twin with the employee’s ID, team ID, department type, and location. Tracking Employees Using Real-Time Digital Twins.

Airlines 52

Airlines Mobile Analytics C++ 52

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.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more. Is generative AI the answer?

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support. The Need to Keep It Simple.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support. The Need to Keep It Simple.

Cloud 40

Cloud Azure Virtualization Scalability 40

Tasktop

JUNE 20, 2019

Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Tasktop unlocks lifecycle data from these application tool silos by automatically compiling modeled lifecycle activity data into a single database. Requirements defined in Jama flow are synchronized as Stories to Jira. .

Development 45

Development DevOps Google Innovation 45

High Scalability

NOVEMBER 25, 2019

Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. You can find more about these in the For The Techies section at our blog. Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced.

Architecture 52

Architecture Cache Azure Storage 52