Testsigma

NOVEMBER 18, 2021

The focus has shifted to non-functional testing, including running security tests, API & workflow-based performance testing, Chaos Engineering, compatibility testing, etc. As technology advancement continues, we’ll see newer, more nuanced types of testing. Learn the basics of tools like Jira, Azure DevOps, Jenkins, etc.

Engineering 104

Engineering Social Media DevOps Azure 104

ACM Sigarch

OCTOBER 10, 2022

Or, terms security and quantum computers are often associated with Quantum Key Distribution (QKD) or Quantum True Random Number (QTRNG) technologies. In particular, recent research has begun to demonstrate that it is possible to perform security attacks on quantum computers. Can inputs and outputs of programs be isolated?

Architecture 72

Architecture Hardware Programming Cloud 72

Dynatrace

APRIL 5, 2021

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 136

Azure Serverless IoT Lambda 136

Dynatrace

APRIL 17, 2019

If you hadn’t already heard the news, the entire Dynatrace team is immensely proud to once again been positioned as a Leader in the Gartner 2019 Magic Quadrant for Application Performance Monitoring (APM). Gartner Magic Quadrant for Application Performance Monitoring, Charley Rich, Federico De Silva, Sanjit Ganguli, 14 March 2019.

Innovation 130

Innovation Virtualization Cloud Azure 130

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. It has helped assure that these applications deliver predictably fast performance and scale to meet the demands of growing workloads.

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. It has helped assure that these applications deliver predictably fast performance and scale to meet the demands of growing workloads.

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. Lower Complexity and Higher Performance.

Analytics 69

Analytics Azure Processing Speed 69

ScaleOut Software

JANUARY 9, 2020

In addition, real-time information on sales and inventory gives managers new tools that help optimize overall performance and maximize profits. 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

In addition, real-time information on sales and inventory gives managers new tools that help optimize overall performance and maximize profits. 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

In addition, real-time information on sales and inventory gives managers new tools that help optimize overall performance and maximize profits. 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

AUGUST 20, 2020

To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. Digital twin models used in product lifecycle management (PLM) or in IoT device modeling (for example, Azure Digital Twins ) just describe the properties of physical entities, usually to allow querying by business processes.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. Digital twin models used in product lifecycle management (PLM) or in IoT device modeling (for example, Azure Digital Twins ) just describe the properties of physical entities, usually to allow querying by business processes.

Cloud 52

Cloud Development Analytics Azure 52

Dynatrace

JANUARY 31, 2024

Organizations need to ensure their solutions meet security and privacy requirements through certified high-performance filtering, masking, routing, and encryption technologies while remaining easy to configure and operate. Addressing security requirements. OpenPipeline then filters and preprocesses that data to manage and reduce costs.

Analytics 190

Analytics Processing Transportation Storage 190

Dynatrace

JANUARY 26, 2021

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. Inefficiencies cost technology companies up to $100 billion per year. Dynatrace news.

Serverless 241

Serverless Efficiency Lambda Azure 241

Dynatrace

APRIL 19, 2023

Modern observability technologies have helped enterprises identify software vulnerabilities such as Log4Shell in their environments. Why perform exclusion at two points? Everything is available through a REST API (application programming interface), but access to that API must be secure. API access management.

Design 185

Design Storage Programming Analytics 185

Scalegrid

OCTOBER 7, 2019

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. The programming language C came in third place, averaging 20.0%

Strategy 182

Strategy Cloud Java Open Source 182

ScaleOut Software

JULY 19, 2021

The technology that can do this is called in-memory computing. Most analytics systems have event dashboards and perform rudimentary real-time processing, which may include filtering an aggregated incoming message stream and extracting patterns of interest. A New Approach: Real-Time Device Tracking.

IoT 78

IoT Analytics Big Data Architecture 78

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

Dynatrace

JULY 7, 2022

It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. Then, they can split these services into functional application programming interfaces (APIs), rather than shipping applications as one large, collective unit. But nothing is perfect — and microservices is no exception.

Architecture 193

Architecture Serverless Azure Programming 193

ScaleOut Software

APRIL 3, 2020

This software can simultaneously perform these actions for hundreds of thousands of ventilators to keep this vital logistical information instantly available for real-time analysis. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

This software can simultaneously perform these actions for hundreds of thousands of ventilators to keep this vital logistical information instantly available for real-time analysis. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

An innovative new software technique called “ real-time digital twins ” leverages in-memory computing technology to turn the Lambda model for streaming analytics on its head and enable each data source to be independently tracked and responded to in real time. Maintain State Information for Each Data Source. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 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

Scalegrid

APRIL 5, 2024

It offers automatic data sharding, master-replica configurations for high availability, and a scalable and flexible architecture to maintain consistent performance. The purpose is scaling out distributed systems effectively and offering improved management and performance while processing numerous keys. Visualize it as a relay race.

Scalability 130

Scalability Efficiency Java Database 130

SQL Server According to Bob

JULY 13, 2016

The installer will also provide the options to perform a full ‘Custom’ installation, or to ‘Download Media’ only as the download button above provides. 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.

Servers 40

Servers Media Engineering Virtualization 40

Dynatrace

NOVEMBER 11, 2022

By centralizing access to resources, teams can easily containerize , configure, and run modern applications across their IT stack using application programming interface (API) connections. Specialized vendors combine the system and software of different providers into prepackaged tool sets and technologies that help streamline operations.

Infrastructure 195

Infrastructure Storage Virtualization Network 195

Dynatrace

OCTOBER 4, 2022

These include application programming interfaces, streaming, and more. Generally, the storage technology categorizes data into landing, raw, and curated zones depending on its consumption readiness. Agent and open technologies make it easy to ingest large volumes of observability, security, and business data. Data management.

Artificial Intelligence 202

Artificial Intelligence Storage Analytics Government 202

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 136

Software Architecture DevOps Data Engineering Architecture 136

Dynatrace

JULY 10, 2019

What Dynatrace deployment is the best fit for your technology stack, and is the OneAgent compatible with your system? With this approach, you can add any relevant metric(s) from your process to Dynatrace, and then chart it, alert on it, or correlate it with your process’ performance. OneAgent & application metrics.

Java 134

Java Best Practices Metrics Azure 134

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

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

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. Observability means taking application performance management (APM) to the next level.

Cloud 167

Cloud Monitoring Network Azure 167

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 111

Open Source Artificial Intelligence Google Infrastructure 111

High Scalability

JULY 6, 2018

tyingq : This is why AWS and Azure continue to gain market share in cloud, while Google remains relativity stagnant, despite (in many cases) superior technology. These perturbations can be thus considered a program for the new task. Then again, technological advances often begin with attempts to do something familiar.

Internet 110

Internet Internet Scalability Google 110

ScaleOut Software

SEPTEMBER 25, 2020

Whether you are keeping track of a fleet of trucks or sensors in a smart city, the overwhelming amount of incoming telemetry from countless data sources can create a “data monster” that threatens your ability to perform real-time monitoring and maintain the necessary situational awareness.

Entertainment 52

Entertainment Analytics Software Software 52

ScaleOut Software

SEPTEMBER 25, 2020

Whether you are keeping track of a fleet of trucks or sensors in a smart city, the overwhelming amount of incoming telemetry from countless data sources can create a “data monster” that threatens your ability to perform real-time monitoring and maintain the necessary situational awareness.

Software 52

Software Software Entertainment Analytics 52