Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 189

DevOps Engineering Artificial Intelligence Infrastructure 189

Dynatrace

JANUARY 17, 2023

OpenTelemetry signals are often analyzed in data silos with missing context and relationships between the data and underlying topology. This leads to significant time wasted in connecting data with application workloads by manually applying labels, or by building crosslinks between the dashboards of incompatible tools.

Analytics 279

Analytics Metrics Open Source Java 279

Dynatrace

SEPTEMBER 5, 2023

Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations.

Artificial Intelligence 262

Artificial Intelligence DevOps Analytics Engineering 262

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 214

Analytics Storage Retail Monitoring 214

DZone

JULY 14, 2021

Authors: Ruoxi Sun (Tech Lead of Analytical Computing Team at PingCAP). Fei Xu (Software Engineer at PingCAP). TiDB is a Hybrid Transaction/Analytical Processing (HTAP) database that can efficiently process analytical queries.

Analytics 223

Analytics Software Engineering Performance Database 223

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. But to be successful, data quality is critical.

Government 199

Government Analytics Benchmarking Storage 199

Dynatrace

FEBRUARY 2, 2023

Should business data be part of your observability solution? Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT.

Analytics 200

Analytics Metrics DevOps Storage 200

The Netflix TechBlog

DECEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Alex Diamond This Q&A aims to mythbust some common misconceptions about succeeding in analytics at a big tech company. Working in Studio Data Science & Engineering (“Studio DSE”) was basically a dream come true.

Analytics 138

Analytics Retail Education Engineering 138

Dynatrace

APRIL 29, 2021

Whilst our traditional Dynatrace website predominantly showcases Dynatrace content and product information for visitors, the idea behind the creation of our new Engineering website – engineering.dynatrace.com – was to set up a space to feature the results of our research and innovation efforts and aims to be a site made by engineers for engineers.

Engineering 260

Engineering Open Source Website Innovation 260

Dynatrace

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 180

Analytics Storage Retail Monitoring 180

Dynatrace

JUNE 28, 2022

Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process. Learn how one Dynatrace customer leveraged mobile analytics to ensure a crash-free, five-star mobile application. Add instrumentation and validate incoming mobile analytics data.

Mobile 210

Mobile Analytics Best Practices Software Engineering 210

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

Processing 226

Processing Data Engineering Efficiency Analytics 226

DZone

MARCH 8, 2024

However, the 2024 State of Observability report from Dynatrace reveals that the explosion of data generated by these complex ecosystems is pushing traditional monitoring and analytics approaches to their limits. They enable developers, engineers, and architects to drive innovation, but they also introduce new challenges."

Analytics 325

Analytics Innovation DevOps Architecture 325

The Netflix TechBlog

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley.

Analytics 223

Analytics Education Innovation Engineering 223

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. And we can’t discount the productivity impact it causes on data platform users. In the future, we are looking to automate this process.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Data indicates these technology trends have taken hold.

Technology 202

Technology Technology Artificial Intelligence Analytics 202

Dynatrace

AUGUST 26, 2020

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . The post Dynatrace wins AI Breakthrough Award for Davis AI engine appeared first on Dynatrace blog.

Engineering 302

Engineering DevOps Innovation AWS 302

DZone

JANUARY 13, 2023

In this tutorial, you are going to learn about QuestDB SQL extensions which prove to be very useful with time-series data. Using some sample data sets, you will learn how designated timestamps work and how to use extended SQL syntax to write queries on time-series data.

IoT 174

IoT Analytics Database Metrics 174

DZone

OCTOBER 24, 2023

The ELK stack is an abbreviation for Elasticsearch, Logstash, and Kibana, which offers the following capabilities: Elasticsearch: a scalable search and analytics engine with a log analytics tool and application-formed database, perfect for data-driven applications.

Analytics 255

Analytics Storage Infrastructure Scalability 255

Dynatrace

FEBRUARY 18, 2020

On the other side of the organization, application owners have hired teams of analysts to dig through web analytics tools to gain insights into the customer experience. Welcome to Dynatrace Digital Business Analytics. What does this mean and how can you unlock Digital Business Analytics? Digital Business Analytics in action.

Analytics 194

Analytics Retail Metrics Mobile 194

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

Dynatrace

FEBRUARY 1, 2024

Expanding hypermodal AI for all use cases with Davis CoPilot™ The Dynatrace composite approach to AI, known as hypermodal AI , enables organizations to extract the maximum ROI from their data efficiently and cost-effectively. In response, CoPilot delivers the data showing the variety of statements executed over the given timeframe.

Artificial Intelligence 185

Artificial Intelligence Analytics Efficiency Database 185

Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Ingest data via OneAgent rather than our REST API. Dynatrace news. This is exactly what Dynatrace now delivers.

Metrics 245

Metrics Analytics Storage Monitoring 245

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

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

Smashing Magazine

DECEMBER 17, 2020

Search Engine Optimization Checklist (PDF). Search Engine Optimization Checklist (PDF). Search engine optimization (SEO) is an essential part of a website’s design, and one all too often overlooked. A Smashing Guide To The World Of Search Engine Optimization. Frederick O’Brien. 2020-12-17T15:00:13+00:00. Like, literally.

Engineering 131

Engineering Google Website Analytics 131

DZone

MAY 19, 2023

Logs often take up the majority of a company's data assets. On the one hand, they provide system risk alerts and help engineers quickly locate root causes in troubleshooting. Examples of logs include business logs (such as user activity logs) and Operation and Maintenance logs of servers, databases, and network or IoT devices.

IoT 130

IoT Analytics Network Database 130

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. Digital transformation shows no signs of slowing down.

Efficiency 275

Efficiency Performance Analytics DevOps 275

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. In the Reliability space, our data teams focus on two main approaches.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

JANUARY 3, 2020

Data capture is a powerful way to add business context, but it must be used responsibly. The addition of the Digital Business Analytics module to the Dynatrace Software Intelligence Platform gives you a new way to understand the impact that application errors, performance and user behavior have on your business. Guard rails.

Best Practices 132

Best Practices Analytics Education Google 132

Uber Engineering

MARCH 21, 2024

Discover real-time query analytics and governance with DataCentral: Uber’s big data observability powerhouse, tackling millions of queries in petabyte-scale environments.

Big Data 71

Big Data Government Analytics 71

Dynatrace

MARCH 1, 2024

This enables you to enrich your Adobe analytics data with end-to-end traces across all tiers and to get precise, real-time user insights. Furthermore, Dynatrace turns analytics into real-time answers, enabling you to better understand how applications’ outages impact critical business metrics like conversions, revenue, and engagement.

Analytics 188

Analytics Monitoring Website Efficiency 188

Dynatrace

JULY 11, 2023

Without native log support, overhead and complexity grow OpenTelemetry, the Cloud Native Computing Foundation (CNCF) incubating project, introduced standards that enable companies to instrument, generate, and export telemetry data. When combined with out-of-the-box correlation, such telemetry data provides context-rich observability.

Open Source 214

Open Source Analytics Metrics Cloud 214

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

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability.

Tuning 152

Tuning Speed Performance Open Source 152