Scalegrid

APRIL 5, 2024

Grasping the concept of Redis sharding is essential for expanding your Redis database. This method involves splitting data over various nodes to improve the database’s efficiency. Redis isn’t alone in utilizing sharding strategies — it’s a common concept found throughout database technologies to distribute workload efficiently.

Scalability 130

Scalability Efficiency Java Database 130

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

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

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. Peter deSantis does a Monday evening technology keynote that usually has most of the sustainability related content in it. million deaths per year and around 91 percent of the world’s population lives where air quality levels exceed WHO limits.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

NOVEMBER 12, 2021

A new generation of automated solutions — designed to provide end-to-end observability of assets, applications, and performance across legacy and cloud systems — make that job easier, says Federal Chief Technology Officer Willie Hicks at Dynatrace. And that was well before AWS, Azure, and cloud.

Cloud 164

Cloud Monitoring Network Azure 164

Dotcom-Montior

OCTOBER 19, 2021

Programming Languages. Site reliability engineers will need to have experience with various programming languages, but more importantly, need to know how to use those languages to automate any and all tasks. Let us look at some of the most common programming languages an SRE group will encounter, like Python, Golang, and Ruby.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dotcom-Montior

FEBRUARY 19, 2022

Programming Languages. Site reliability engineers will need to have experience with various programming languages, but more importantly, need to know how to use those languages to automate any and all tasks. Let us look at some of the most common programming languages an SRE group will encounter, like Python, Golang, and Ruby.

Engineering 52

Engineering Open Source Programming Monitoring 52

ScaleOut Software

JUNE 22, 2020

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? Based on technology from the Trill research project, the Microsoft Stream Analytics platform offers an elegant and powerful platform for implementing applications like this. What Problems Does Streaming Analytics Solve?

Analytics 69

Analytics Azure Processing Speed 69

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. The ScaleOut Digital Twin Streaming Service , which runs in the Microsoft Azure cloud, hosts real-time digital twins for applications like these that need to track thousands of data sources.

Logistics 52

Logistics Retail Analytics Azure 52

KeyCDN

MARCH 14, 2019

Serverless frameworks like Nuclio let you utilize cloud technology to reduce your workload, improve scaling and save money on unused resources. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. Machine Learning AI is no longer restricted by its programmer’s inputs.

Development 101

Development Blockchain Serverless Social Media 101

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. Neal, Matt, and others from Windows Storage, Windows Azure Storage, Windows Hyper-V, … validating Windows behaviors. ·

Servers 90

Servers Media Cache Storage 90

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. 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. Do you use any particularly cool technologies or algorithms?

Architecture 52

Architecture Cache Azure Storage 52

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The technology that can do this is called in-memory computing. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

ScaleOut Software

MAY 19, 2020

Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed. It then triggers application code to process the messages and gives it immediate access to memory-based contextual information for the data source.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed. It then triggers application code to process the messages and gives it immediate access to memory-based contextual information for the data source.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

JANUARY 31, 2020

Query results also might be forwarded to cloud-based serverless functions to trigger alerts or other actions in conjunction with access to a database or blob store. They are made possible by scalable, in-memory computing technology hosted on clusters of cloud-based servers.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

ScaleOut Software

AUGUST 25, 2020

Using information from the company’s organizational database, it populates each twin with the employee’s ID, team ID, department type, and location. Cobbling together these diverse technologies would require several skill sets, lengthy development time, and higher operational costs. Summing Up.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

Using information from the company’s organizational database, it populates each twin with the employee’s ID, team ID, department type, and location. Cobbling together these diverse technologies would require several skill sets, lengthy development time, and higher operational costs. Summing Up.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

JANUARY 31, 2020

Query results also might be forwarded to cloud-based serverless functions to trigger alerts or other actions in conjunction with access to a database or blob store. They are made possible by scalable, in-memory computing technology hosted on clusters of cloud-based servers.

Analytics 52

Analytics Social Media Serverless Cloud 52

O'Reilly

FEBRUARY 18, 2020

This combination of usage and search affords a contextual view that encompasses not only the tools, techniques, and technologies that members are actively using, but also the areas they’re gathering information about. It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. Figure 3 (above).

Software Architecture 137

Software Architecture DevOps Data Engineering Architecture 137

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. In this time of crisis, it’s likely the case that the technology of real-time digital twins has arrived at the right time to help our overtaxed medical professionals.

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. In this time of crisis, it’s likely the case that the technology of real-time digital twins has arrived at the right time to help our overtaxed medical professionals.

Logistics 52

Logistics Analytics Scalability Cloud 52

SQL Server According to Bob

JULY 13, 2016

Launching this program brings you to the new Basic Installer Screen. If you run the Installer again, we use what I call “smart download” technology. This is effectively the same as if you had used the full install and picked the features of Database Engine Services and Client Connectivity SDK as the two components to install.

Servers 40

Servers Media Engineering Virtualization 40

O'Reilly

NOVEMBER 28, 2023

Generative AI has been the biggest technology story of 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. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop.

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

O'Reilly

OCTOBER 19, 2021

What does a modern technology stack for streamlined ML processes look like? There is a decades-long tradition of data-centric programming : developers who have been using data-centric IDEs, such as RStudio, Matlab, Jupyter Notebooks, or even Excel to model complex real-world phenomena, should find this paradigm familiar.

DevOps 140

DevOps Software Engineering Infrastructure Open Source 140