DZone

AUGUST 14, 2024

When building ETL data pipelines using Azure Data Factory (ADF) to process huge amounts of data from different sources, you may often run into performance and design-related challenges. This article will serve as a guide in building high-performance ETL pipelines that are both efficient and scalable.

Azure 306

Azure Cloud Scalability Efficiency 306

The Netflix TechBlog

DECEMBER 3, 2022

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

Best Practices 361

Best Practices Code Testing Data Engineering 361

Dynatrace

FEBRUARY 27, 2025

To understand whats happening in todays complex software ecosystems, you need comprehensive telemetry data to make it all observable. In fact, observability is essential for shaping how we design smarter, more resilient systems for the future. But, generating telemetry data is the easy part. OpenTelemetry Collector 1.0

Tuning 310

Tuning Open Source Innovation Monitoring 310

Dynatrace

DECEMBER 9, 2024

The time has come to move beyond outdated practices and adopt solutions designed for the realities of Kubernetes environments. This empowers teams to efficiently deliver secure, compliant Kubernetes applications by design. Ready to see the full potential of Dynatrace KSPM for your workloads?

Best Practices 290

Best Practices Benchmarking DevOps Efficiency 290

Dynatrace

APRIL 22, 2024

To enable participating organizations to meet the EU requirements for transferring personal data to the U.S., the Data Privacy Framework (DPF) is designed to serve as an adequate data transfer mechanism under the GDPR. Data Privacy Framework Program (The EU-U.S. DPF, UK Extension to the EU-U.S. DPF, and Swiss-U.S.

Government 264

Government Programming Analytics Efficiency 264

Dynatrace

OCTOBER 23, 2023

At financial services company, Soldo, efficiency and security by design are paramount goals. Safeguarding against vulnerabilities, data breaches, and emerging threats while meeting regulatory compliance, legal requirements, and customer expectations borders on the impossible without a holistic approach. What is security by design?

Design 264

Design Innovation DevOps Open Source 264

DZone

OCTOBER 16, 2023

When creating applications that store and analyze large amounts of data, such as time series, log data, or event-storing ones, developing a good and future-proof data model can be a difficult task. Choosing the right data types in PostgreSQL can significantly impact your database's performance and efficiency.

Best Practices 284

Best Practices Speed Database Efficiency 284

The Netflix TechBlog

AUGUST 1, 2022

Data Mesh?—?A A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A After evaluating the options , the team has decided to create Data Mesh as our next generation data pipeline solution.

Processing 273

Processing Transportation Entertainment Tuning 273

Dynatrace

AUGUST 29, 2023

Dynatrace has announced that it has successfully achieved the Google Cloud Ready – Cloud SQL designation for Cloud SQL, Google Cloud’s fully-managed, relational database service for MySQL, PostgreSQL, and SQL Server. This designation can also save time in evaluating Dynatrace solutions for organizations that are not already using them.

Google 246

Google Cloud Design Programming 246

Dynatrace

FEBRUARY 4, 2025

It also makes the process risky as production servers might be more exposed, leading to the need for real-time production data. This is why were excited to announce the launch of Dynatrace Live Debugger , a revolutionary tool that provides developers with visibility and data access to their running applications. Browse your code.

Open Source 223

Open Source Code Engineering Best Practices 223

DZone

JANUARY 26, 2024

The cornerstone is a well-designed and painstakingly built messaging system, which allows for smooth communication and data exchange across diverse components. A distributed application’s complicated tapestry strongly relies on its messaging system's durability and reliability.

Scalability 264

Scalability Design Systems Architecture 264

The Netflix TechBlog

SEPTEMBER 18, 2024

Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns. To overcome these challenges, we developed a holistic approach that builds upon our Data Gateway Platform. Data Model At its core, the KV abstraction is built around a two-level map architecture.

Latency 260

Latency Storage Cache Servers 260

Dynatrace

MAY 2, 2024

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. Successful compliance with privacy rights requests involves tracking and verifying requests across the entire data ecosystem, including third-party services.

Tuning 278

Tuning Scalability Efficiency Processing 278

The Netflix TechBlog

NOVEMBER 3, 2023

Democratizing Stream Processing @ Netflix By Guil Pires , Mark Cho , Mingliang Liu , Sujay Jain Data powers much of what we do at Netflix. On the Data Platform team, we build the infrastructure used across the company to process data at scale. However, this design decision led to a different set of challenges.

Processing 271

Processing Engineering Infrastructure Latency 271

The Netflix TechBlog

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 251

Latency Cache Infrastructure Strategy 251

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. However, there are many obstacles and limitations along the way to becoming a data-driven organization. Understanding the context.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

NOVEMBER 20, 2024

Through this integration, Dynatrace enriches data collected by Microsoft Sentinel to provide organizations with enhanced data insights in context of their full technology stack. The Davis AI engine automatically and continuously delivers actionable insights based on an environment’s current state. Audit logs.

Best Practices 299

Best Practices Innovation Azure Cloud 299

The Netflix TechBlog

MARCH 7, 2023

These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. Similarly, client teams don’t have to worry about when or how the data is written. in a video file.

Media 272

Media Latency Architecture Database 272

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 239

Latency Storage Traffic Tuning 239

Dynatrace

MARCH 5, 2025

Metis has built an AI-driven database observability platform designed for developers and SREs. A shared vision At Dynatrace, weve built a comprehensive observability platform that already includes deep database visibility, the Top Database Statements view, and Grail for unified data storage and analysis.

Database 306

Database Development Tuning DevOps 306

Dynatrace

MAY 21, 2024

Observing complex environments involves handling regulatory, compliance, and data governance requirements. This continuously evolving landscape requires careful management and clarity regarding how sensitive data is used. This is particularly important when dealing with large volumes of data.

Government 277

Government Storage Tuning Monitoring 277

Dynatrace

FEBRUARY 15, 2023

Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Ensuring observability across these environments requires access to data at a massive scale. You no longer need to split, distribute, or pre-aggregate your data. Grail solves this scalability issue!

Analytics 264

Analytics Social Media Metrics Design 264

Dynatrace

NOVEMBER 29, 2024

This certification is specifically designed for Cloud Service Providers (CSPs) and builds upon the more generic approaches of ISO 27001 and SOC 2 Type II. Benefits to Dynatrace customers The Dynatrace® platform for observability and security with Davis® hypermodal AI provides answers and intelligent automation from data at an enormous scale.

Benchmarking 246

Benchmarking Government Innovation Cloud 246

Dynatrace

MAY 23, 2024

The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. We designed experimental scenarios inspired by chaos engineering.

Engineering 245

Engineering Tuning Latency Open Source 245

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. We expect complete and accurate data at the end of each run.

Data Engineering 271

Data Engineering Engineering Processing Games 271

Dynatrace

OCTOBER 14, 2024

ABAC has several advantages: Enhanced security , providing granular control over access permissions, significantly reducing the risk of data breaches and unauthorized activities. High granularity by segmenting resource and record-level data, ensuring that access decisions are precise and context-aware.

Monitoring 246

Monitoring Metrics Systems Scalability 246

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? How does a data lakehouse work?

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 272

DevOps Analytics Airlines Metrics 272

Scalegrid

MARCH 10, 2025

Whether youre a developer, database administrator, or data analyst, a good GUI can make everyday tasks faster, clearer, and less error-prone. Its designed primarily for Windows users, but many developers use it on other platforms via Wine. Thats where MySQL GUIs come in.

Open Source 162

Open Source Database Design Cloud 162

Dynatrace

AUGUST 29, 2024

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. Both methods allow you to ingest and process raw data and metrics. The ADS-B protocol differs significantly from web technologies.

IoT 264

IoT Analytics Transportation Metrics 264

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 245

Azure Analytics Artificial Intelligence Innovation 245

Dynatrace

JANUARY 22, 2025

Improving collaboration across teams By surfacing actionable insights and centralized monitoring data, Dynatrace fosters collaboration between development, operations, security, and business teams. This data covers all aspects of CI/CD activity, from workflow executions to runner performance and cost metrics.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle. The only way to address these challenges is through observability data — logs, metrics, and traces. Teams interact with myriad data types.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

JUNE 9, 2023

ln a world driven by macroeconomic uncertainty, businesses increasingly turn to data-driven decision-making to stay agile. They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. All of these factors challenge DevOps maturity.

DevOps 246

DevOps Analytics Storage Metrics 246

Scalegrid

FEBRUARY 6, 2025

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Both serve distinct purposes, from managing message queues to ingesting large data volumes. Choosing between RabbitMQ and Kafka depends on your specific messaging needs.

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

OCTOBER 30, 2024

Dynatrace digital experience monitoring (DEM) monitors and analyzes the quality of digital experiences for users across digital channels by collecting data from multiple sources. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact.

Monitoring 245

Monitoring Innovation Mobile Strategy 245