DZone

NOVEMBER 7, 2023

This article delves into the paradigm shift from traditional to real-time data integration, examines its architectural nuances, and contemplates its profound impact on decision-making and business processes. The new norm is real-time data integration, and it’s transforming the way companies make decisions and conduct their operations.

Systems 281

Systems Analytics Architecture Engineering 281

Uber Engineering

SEPTEMBER 2, 2021

One … The post Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework appeared first on Uber Engineering Blog. The team transforms Uber’s ideas into agile, global solutions by designing and implementing scalable solutions.

Analytics 142

Analytics AWS Programming Scalability 142

DZone

OCTOBER 11, 2022

Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Google Analytics Becomes A Robust Testing Platform With Content Experiments API ( Google Analytics Blog).

Java 244

Java Best Practices Google Analytics 244

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 186

Software Software Analytics Big Data 186

Dynatrace

JULY 11, 2023

By ingesting OTLP logs into Dynatrace, you can utilize the Grail™ data lakehouse and its massively-parallel processing analytics engine. Native support for OpenTelemetry (OTLP) logs also supports enterprises that have highly diverse technical architectures.

Open Source 214

Open Source Analytics Metrics Cloud 214

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. High-quality operational data in a central data lakehouse that is available for instant analytics is often teams’ preferred way to get consistent and accurate answers and insights. That’s where causal AI can help.

Government 199

Government Analytics Benchmarking Storage 199

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 275

Efficiency Performance Analytics DevOps 275

Uber Engineering

JANUARY 15, 2020

Uber leverages real-time analytics on aggregate data to improve the user experience across our products, from fighting fraudulent behavior on Uber Eats to forecasting demand on our platform. .

Engineering 115

Engineering Analytics Big Data Database 115

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

APRIL 21, 2022

With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale. In addition, they must often use disjointed database-specific tools to collaborate with engineers, database administrators, or application owners.

Database 240

Database DevOps Analytics Servers 240

The Netflix TechBlog

JUNE 7, 2021

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. What is BPF?

Network 325

Network Transportation AWS Cloud 325

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

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand. Throw in behavioral analytics, metadata, and real-user data. … Throw in behavioral analytics, metadata, and real-user data. …

Artificial Intelligence 193

Artificial Intelligence Analytics Cloud Innovation 193

Dynatrace

JANUARY 23, 2024

Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. To learn more about platform engineering, explore the following resources.

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Dynatrace

NOVEMBER 28, 2022

Simplify error analytics. Understand and optimize your architecture. Saving your cloud operations and site reliability engineering teams hours of guesswork and manual tagging, the Davis AI engine analyzes billions of events in real time. Optimize timing hotspots. Built for enterprise scalability.

Lambda 224

Lambda AWS Serverless Latency 224

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Application architectures might not be conducive to rehosting. Dynatrace Smartscape® automatically adds real-time dependency and architectural context, from hosts to processes to software services.

Cloud 208

Cloud Energy Best Practices Cache 208

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. Pensive relies on a regular expression based rules engine that has been curated over time. In the future, we are looking to automate this process.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Uber Engineering

OCTOBER 9, 2017

These insights range from in-the-moment traffic conditions that provide guidance on trip routes to the Estimated Time of Delivery (ETD) of an UberEATS … The post Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform appeared first on Uber Engineering Blog.

Open Source 85

Open Source Analytics Traffic Engineering 85

Dynatrace

DECEMBER 16, 2022

AI-powered precise answers and timely insights with ad-hoc analytics. Engineering teams often gravitate toward a 100% do-it-yourself approach, which is OK for experimentation and testing. Successful platform adoption requires a platform to be easy to use and integrate with other architectures, applications, and data sources.

Innovation 196

Innovation Software Software Cloud 196

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data.

Artificial Intelligence 174

Artificial Intelligence DevOps Analytics Cloud 174

Dynatrace

MARCH 24, 2023

Docker Swarm First introduced in 2014 by Docker, Docker Swarm is an orchestration engine that popularized the use of containers with developers. The Docker file format is used broadly for orchestration engines, and Docker Engine ships with Docker Swarm and Kubernetes frameworks included. The post What is container orchestration?

Infrastructure 185

Infrastructure Open Source Operating System Cloud 185

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved. Everyone who goes to architecture school learns his work. It must be beautiful, like Venus, inspiring love.

Strategy 100

Strategy Architecture Technology Technology 100

The Netflix TechBlog

JANUARY 25, 2023

All data should be also available for offline analytics in Hive/Iceberg. Marken architecture Above picture represents the block diagram of the architecture for our service. Our architecture makes it possible to easily onboard and ingest data from Media algorithms. zookeeper service, internationalization service etc.

Scalability 283

Scalability Latency Media Architecture 283

Dynatrace

APRIL 7, 2023

It also baselines the performance of an application under load, including response times, error rates, and behavior.

Lambda 215

Lambda AWS Serverless Latency 215

High Scalability

JANUARY 11, 2022

Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Architecture. FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. High Level Design.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

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

Simform

JANUARY 8, 2023

Data ingestion is the foremost layer in a data engineering pipeline, acting as a vital pillar in the overall analytics architecture. Thus, it is essential to implement data ingestion just right. Here is everything you need to know to take the first step toward a flawless data pipeline.

Data Engineering 52

Data Engineering Analytics Architecture Engineering 52

Uber Engineering

JULY 22, 2021

As Uber’s business grew, we scaled our Apache Hadoop (referred to as ‘Hadoop’ in this article) deployment to 21000+ hosts in 5 years, to support the various analytical and machine learning use cases. We built a team with varied … The post Containerizing Apache Hadoop Infrastructure at Uber appeared first on Uber Engineering Blog.

Infrastructure 145

Infrastructure Analytics Engineering Architecture 145

Dynatrace

DECEMBER 15, 2022

As with all other log ingestion configurations, these examples work seamlessly with the new Log Management and Analytics powered by Grail that provides answers with any analysis at any time. But there are cases where you might be limited in setting up a dedicated syslog server with OneAgent because of environment architecture or resources.

Strategy 179

Strategy AWS Open Source Transportation 179

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

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. Platform engineering: Build for self-service Self-service deployment is a key attribute of platform engineering. “It makes them more productive.

Engineering 240

Engineering Development DevOps Infrastructure 240

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. Big data automation tools.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

DECEMBER 15, 2022

The Dynatrace AIOps platform approach integrates data from disparate monitoring point solutions and uses deterministic AI to fully map the topology of complex, distributed architectures for real-time, actionable insights. The three core components of an AIOps solution are the following: 1. ” The post What is ITOps?

Artificial Intelligence 201

Artificial Intelligence DevOps Hardware Virtualization 201

Dynatrace

MAY 7, 2019

They fail to understand the deployment architecture and dependencies and aren’t able to deal with the ephemeral nature of containers. Native integration of Kubernetes/OpenShift node events with the Davis AI causation engine. Universal container-level metrics for resource contention analytics.

Monitoring 203

Monitoring Architecture Metrics Analytics 203