Scalegrid

OCTOBER 7, 2019

This leaves our last cloud provider – Microsoft Azure, who represented 3.2% This is one of the most shocking discoveries, as Azure was tied for second with GCP back in April, and is commonly a popular choice for enterprise organizations leveraging the Microsoft suite of services. of PostgreSQL hosting. use with PostgreSQL.

Strategy 182

Strategy Cloud Java Open Source 182

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Service mesh. What are cloud-native services?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 52

Dotcom-Montior

OCTOBER 19, 2021

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Programming Languages. Let us look at some of the most common programming languages an SRE group will encounter, like Python, Golang, and Ruby. so they are going to see more tools in that toolbelt.

Engineering 86

Engineering Open Source Programming Monitoring 86

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. What Are Real-Time Digital Twins?

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. What Are Real-Time Digital Twins?

Cloud 52

Cloud Development Analytics Azure 52

Dotcom-Montior

FEBRUARY 19, 2022

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., Programming Languages. Let us look at some of the most common programming languages an SRE group will encounter, like Python, Golang, and Ruby. so they are going to see more tools in that toolbelt.

Engineering 52

Engineering Open Source Programming Monitoring 52

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. DBaaS provides streamlined management with maintenance-free operations & enhanced security.

Database 130

Database Cloud Hardware Storage 130

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

AUGUST 25, 2020

The following diagram illustrates an employee’s real-time digital twin and the state data it holds; details about the contact tracing code are explained below: The twin automatically populates its contact list with the other members of the employee’s team, based on the expectation that team members are in daily contact.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

The following diagram illustrates an employee’s real-time digital twin and the state data it holds; details about the contact tracing code are explained below: The twin automatically populates its contact list with the other members of the employee’s team, based on the expectation that team members are in daily contact.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

APRIL 3, 2020

By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily. The computing system also has the ability to perform aggregate analytics in seconds on the continuously evolving data held in the twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily. The computing system also has the ability to perform aggregate analytics in seconds on the continuously evolving data held in the twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

Tasktop

JUNE 20, 2019

Developers are also highly impacted by activities that happen downstream from code-commit, like testing, deployment, customer support, and operations. Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Requirements defined in Jama flow are synchronized as Stories to Jira.

Development 45

Development DevOps Google Innovation 45

SQL Server According to Bob

DECEMBER 18, 2018

This effort resulted in: · Changes to the SQL Server Engine · Changes to the SQL Server Linux Host Extension · Validation with the Windows Storage team · Validation with Windows Hyper-V team · Validation with Windows Azure Storage team · Conversations with Red Hat, HP, SUSE and Intel · Changes in the Linux file system.

Servers 90

Servers Media Cache Storage 90

O'Reilly

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Smashing Magazine

NOVEMBER 15, 2021

tmux is a popular terminal multiplexer for Unix-like operating systems that lets you easily switch among several programs in a single terminal, with the ability to “detach” a session (while still running in the background) or “reattach” it to a different terminal. Large preview ). Large preview ). Require Node.js Large preview ). bashupload.

Development 134

Development Google Storage Open Source 134

High Scalability

NOVEMBER 25, 2019

Java used to power core file system code. Python used to power client-side code, certain microservices, migration scripts, internal scripts. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Data interdependence. Level of concurrent reads. Level of concurrent writes.

Architecture 52

Architecture Cache Azure Storage 52