Dynatrace

DECEMBER 9, 2021

Applications are a common source of security breaches but the prevalence of cloud-native architectures, open source, third-party libraries, and container runtime environments makes the management of modern IT environments complex. Security teams struggle with manual approaches and lack runtime insights.

Social Media 195

Social Media Open Source Media Cloud 195

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Java applications use a similar mechanism.). In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Java applications use a similar mechanism.). In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

FEBRUARY 23, 2022

As DevSecOps practices gather steam in 2022, there are several concurrent technology trends that will likely further DevSecOps adoption. Log4Shell enables an attacker to use remote code execution to engage with software that uses the Java logging library Log4j versions 2.0 Serverless architecture expands. and 2.14.1.

Serverless 274

Serverless Infrastructure Innovation DevOps 274

O'Reilly Software

OCTOBER 23, 2018

A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. I should start by saying this section does not offer a treatise on how to do architecture. Technology systems are difficult to wrangle. Vitruvius and the principles of architecture.

Strategy 100

Strategy Architecture Technology Technology 100

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. CDC events can also be sent to Data Mesh via a Java Client Producer Library. tactical) in nature.

Big Data 253

Big Data Government Analytics Processing 253

Dynatrace

DECEMBER 8, 2020

Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. Teams are embracing new technologies and continuously deploying code. Dynatrace Application Security currently detects, assesses, and manages Java vulnerabilities. Dynatrace news.

Cloud 296

Cloud Open Source Internet Internet 296

Dynatrace

JANUARY 28, 2021

Such additional telemetry data includes user-behavior analytics, code-level visibility, and metadata (including open-source data). PurePath 4 integrates OpenTelemetry Go data for enterprise-grade collection and contextual AI analytics. Unlock extended end-to-end traceability for OpenTelemetry-instrumented Go applications.

Traffic 173

Traffic Open Source Servers Cloud 173

High Scalability

DECEMBER 18, 2018

pMD is a fast­ growing , highly rated health care technology company that has been recognized as a Best Place to Work by SF Business Times, Modern Healthcare, and Inc. For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one.

Healthcare 122

Healthcare Best Practices DevOps Cache 122

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Languages: Java. This is the current architecture.

Architecture 52

Architecture Cache Azure Storage 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. A real-time digital twin would take the next step by hosting a predictive analytics algorithm that analyzes changes in these properties.

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. A real-time digital twin would take the next step by hosting a predictive analytics algorithm that analyzes changes in these properties.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

DECEMBER 10, 2019

In its usage in streaming analytics, a real-time digital twin hosts an application-defined method for analyzing event messages from a single data source combined with an associated data object: The data object holds dynamic, contextual information about a single data source and the evolving results derived from analyzing incoming telemetry.

Code 52

Code Analytics Healthcare IoT 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

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

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 63

Programming IoT Java Analytics 63

Rigor

JANUARY 13, 2020

This book is about performance problems and the various technologies created to fight them. Information Architecture. The current state of Java¬Script and web browsers and includes brand-new material on features like class notation, arrow functions, iterators, async functions, template strings, and block scope. Time is Money.

Performance 75

Performance Social Media Website Website Performance 75

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. The point-of-sales system records changes from all the purchases and stores them in DynamoDB.

Database 167

Database Lambda AWS IoT 167

ScaleOut Software

AUGUST 25, 2020

These are defined by the contact tracing application and can be written in C#, Java, or JavaScript. (C# It also includes support for real-time aggregate analytics and visualization integrated with the real-time digital twin model to maximize ease of use. C# was used for the demo application.) Summing Up.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

These are defined by the contact tracing application and can be written in C#, Java, or JavaScript. (C# It also includes support for real-time aggregate analytics and visualization integrated with the real-time digital twin model to maximize ease of use. C# was used for the demo application.) Summing Up.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 40

Programming IoT Java Analytics 40

Alex Russell

MAY 9, 2022

Panglossian nonsense. --> Organisations that serve their tools tread water no matter how advanced their technology, while groups that intentionally manage systems can succeed on any stack. [1]. through one of the dozens of analytics tools they've inevitably integrated over the years), but nobody looks at it. Value Propositions #.

Performance 86

Performance Latency Metrics Engineering 86