Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens.

Government 200

Government Infrastructure Programming Cloud 200

Dynatrace

NOVEMBER 28, 2022

Today, application modernization efforts are centered on application programming interfaces and microservices that are sensitive to startup latency. Simplify error analytics. Understand and optimize your architecture. Optimize timing hotspots. Automatic observability and root-cause analysis for DevOps, cloud, and apps teams.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

JUNE 15, 2023

Research estimates that nearly every software program (96%) includes some kind of open source software component , and nearly half of those applications (48%) expose high-risk vulnerabilities. Microservices-based architecture Applications built using microservices-based architecture can operate and interact across different cloud platforms.

Cloud 174

Cloud Open Source Architecture Monitoring 174

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 183

Cloud DevOps Open Source Retail 183

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. You can use the generic ingest with an application programming interface (API) endpoint to point existing log output to Dynatrace, ingest OpenTelemetry logs, or deploy our OneAgent , which discovers important logs automatically and sends them to Dynatrace.

Retail 233

Retail Storage Best Practices Architecture 233

The Netflix TechBlog

JANUARY 25, 2023

All data should be also available for offline analytics in Hive/Iceberg. Base schemas Just like in Object Oriented Programming, our schema service allows schemas to be inherited from each other. Marken architecture Above picture represents the block diagram of the architecture for our service.

Scalability 283

Scalability Latency Media Architecture 283

Dynatrace

DECEMBER 15, 2022

In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). Log ingestion strategy no. 1: Welcome syslog, with the help of Fluentd.

Strategy 177

Strategy AWS Open Source Transportation 177

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

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 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

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 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

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. How organizations benefit from automating IT practices. Monitoring automation is ongoing.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

Adrian Cockcroft

FEBRUARY 13, 2023

Margaret leads the worldwide solution architect program for sustainability, and gives an excellent talk on how customers should think about optimizing their workloads. SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA. SUS209 — there was no talk with this code.

AWS 64

AWS Energy Architecture Programming 64

ScaleOut Software

NOVEMBER 24, 2020

However, telematics architectures face challenges in responding to telemetry in real time. Current Telematics Architecture. This telematics architecture has evolved to handle ever increasing message rates (often reaching 2K messages per second), make up-to-the-minute information available to dispatchers, and feed offline analytics.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Dynatrace

JANUARY 28, 2021

Organizations that want a high-performance language with a great ecosystem for their applications often use Golang , an open-source programming language. Such additional telemetry data includes user-behavior analytics, code-level visibility, and metadata (including open-source data). Dynatrace news.

Traffic 164

Traffic Open Source Servers Cloud 164

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

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Unilever – Unilever R&D program intended to accelerate the company’s scientific progress through improved access to global information. In addition, its robust architecture supports ten times as many scientists, all working simultaneously.

Cloud 129

Cloud Energy AWS Healthcare 129

ScaleOut Software

MAY 6, 2020

Writing applications for streaming analytics can be complex and time consuming. Existing programming models make it too difficult to perform meaningful analysis in real time. This application cannot be implemented by most streaming analytics platforms. A database service to host state information for each user. Summing Up.

Development 52

Development Analytics Database Programming 52

ScaleOut Software

MAY 6, 2020

Writing applications for streaming analytics can be complex and time consuming. Existing programming models make it too difficult to perform meaningful analysis in real time. This application cannot be implemented by most streaming analytics platforms. A database service to host state information for each user. Summing Up.

Development 52

Development Analytics Database Programming 52

ScaleOut Software

AUGUST 18, 2018

What is required is a software architecture that enables seamless migration without requiring application code to be reimplemented for execution on edge-based platforms. Because real-world IoT applications can track thousands of devices or other entities (e.g., The digital twin provides a powerful answer to this challenge.

IoT 45

IoT Ecommerce Analytics Latency 45

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

ScaleOut Software

AUGUST 18, 2018

What is required is a software architecture that enables seamless migration without requiring application code to be reimplemented for execution on edge-based platforms. Because real-world IoT applications can track thousands of devices or other entities (e.g., The digital twin provides a powerful answer to this challenge.

IoT 40

IoT Ecommerce Analytics Latency 40

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

Architecture 192

Architecture DevOps Monitoring Programming 192

The Netflix TechBlog

MAY 21, 2019

There are several problems efficient test scheduling could help us solve: Quickly detect a regression in the integration of the Netflix SDK on a consumer electronic or MVPD (multichannel video programming distributor) device. Experiment with different neural network architectures. Detect a regression in a test case.

Testing 163

Testing AWS Lambda Network 163

Rigor

JANUARY 13, 2020

Information Architecture. Javascript: The Ultimate Beginner’s Guide to Learn JavaScript Programming Step by Step. This book from 2002 is a brilliant must read: site architecture, security, reliability, and their impact on performance. Web Performance Daybook-Volume-2. Javascript by Ryan Turner. The Art of SEO. Still good.

Performance 75

Performance Social Media Website Website Performance 75

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. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JUNE 22, 2020

Instead of just passively hosting session-state and shopping carts, online applications now can mine shopping carts for dynamic trends to evaluate the effectiveness of product descriptions and marketing programs (such as flash sales).

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Instead of just passively hosting session-state and shopping carts, online applications now can mine shopping carts for dynamic trends to evaluate the effectiveness of product descriptions and marketing programs (such as flash sales).

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Jos

JUNE 2, 2018

I remember when I learned about dynamic programming, greedy or divide and conquer algorithms. You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye.

Performance 237

Performance Speed Google Media 237

ScaleOut Software

SEPTEMBER 25, 2020

Check out this new video which depicts the challenges in using conventional tools for streaming analytics to track and respond to thousands of data sources in a live system. Here’s how to learn more: To learn more about the value of real-time digital twins in streaming analytics, click here.

Entertainment 52

Entertainment Analytics Software Software 52