Dynatrace

FEBRUARY 9, 2024

One of the more popular use cases is monitoring business processes, the structured steps that produce a product or service designed to fulfill organizational objectives. The Business Flow app Business Flow, built with AppEngine, simplifies the configuration, monitoring, and analysis of business processes.

Processing 246

Processing Monitoring Analytics Games 246

The Netflix TechBlog

AUGUST 1, 2022

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 stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

Processing 272

Processing Transportation Entertainment Tuning 272

DZone

JUNE 5, 2024

Batch processing is a capability of App Connect that facilitates the extraction and processing of large amounts of data. Sometimes referred to as data copy , batch processing allows you to author and run flows that retrieve batches of records from a source, manipulate the records, and then load them into a target system.

Best Practices 240

Best Practices Processing Design Systems 240

Dynatrace

OCTOBER 23, 2023

At financial services company, Soldo, efficiency and security by design are paramount goals. Because Soldo is in a highly regulated industry, Domenella’s team adopted security by design from the beginning. What is security by design? The most efficient one we found was Dynatrace.”

Design 264

Design Innovation DevOps Open Source 264

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

DZone

DECEMBER 14, 2021

Meanwhile, understanding the internal process is important in order to tune the performance. This article describes the design and the implementation in Alluxio to keep metadata synchronized. Why is Metadata Sync Critical in Alluxio.

Design 244

Design Storage Tuning Systems 244

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. This process can also be used to track the provenance of increments.

Latency 247

Latency Cache Infrastructure Strategy 247

Dynatrace

NOVEMBER 4, 2024

Business events: Delivering the best data It’s been two years since we introduced business events , a special class of events designed to support even the most demanding business use cases. Dynatrace OpenPipeline is a new stream processing technology that ingests and contextualizes data from any source.

Analytics 241

Analytics Airlines Metrics Monitoring 241

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 233

Processing Media Latency Innovation 233

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. Risk reduction : The certification process ensures that we have strong controls in place to mitigate security risks significantly, reducing the likelihood of breaches.

Benchmarking 246

Benchmarking Government Innovation Cloud 246

Dynatrace

MARCH 5, 2025

The newly introduced step-by-step guidance streamlines the process, while quick data flow validation accelerates the onboarding experience even for power users. Step-by-step setup The log ingestion wizard guides you through the prerequisites and provides ready-to-use command examples to start the installation process. Figure 5.

Open Source 211

Open Source IoT Cloud Azure 211

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 214

Processing Big Data Efficiency Engineering 214

Dynatrace

FEBRUARY 27, 2025

In fact, observability is essential for shaping how we design smarter, more resilient systems for the future. Finally, it empowers automated systems to process and analyze OpenTelemetry data, without requiring adaptations for every framework. First, it allows human operators to correctly interpret the data they’re seeing.

Tuning 304

Tuning Open Source Innovation Monitoring 304

Dynatrace

FEBRUARY 4, 2025

A production bug is the worst; besides impacting customer experience, you need special access privileges, making the process far more time-consuming. It also makes the process risky as production servers might be more exposed, leading to the need for real-time production data. This cumbersome process should not be the norm.

Open Source 223

Open Source Code Engineering Best Practices 223

The Netflix TechBlog

SEPTEMBER 3, 2021

When we process a request it is often beneficial to know which fields the caller is interested in and which ones they ignore. How can we achieve a similar functionality when designing our gRPC APIs? By Alex Borysov , Ricky Gardiner Background At Netflix, we heavily use gRPC for the purpose of backend to backend communication.

Design 246

Design Java Code Servers 246

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design 246

Design Storage Programming Analytics 246

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. Data is then dynamically routed into pipelines for further processing.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

APRIL 13, 2021

” As in the case of regular SaaS services, software updates happen as soon as possible and are designed to go relatively unnoticed in the background. Therefore, regardless if you are a SaaS or Managed customer, we designed the OneAgent update experience to be smooth and automated following the release of each new version.

Processing 264

Processing Monitoring Performance Availability 264

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. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is Apache Kafka?

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

NOVEMBER 29, 2024

Protect data in multi-tenant architectures To bring you the most value by unifying observability and security in one analytics and automation platform powered by AI, Dynatrace SaaS leverages a multitenancy architecture, enabling efficient and scalable data ingestion, querying, and processing on shared infrastructure.

Storage 246

Storage AWS Azure Architecture 246

DZone

JUNE 22, 2023

API performance optimization is the process of improving the speed, scalability, and reliability of APIs. The goal is to help developers, technical managers, and business owners understand the importance of API performance optimization and how they can improve the speed, scalability, and reliability of their APIs.

Scalability 245

Scalability Design Best Practices Performance 245

Dynatrace

JANUARY 15, 2025

They offer a comprehensive end-to-end solution to these challenges, providing functionalities designed to enhance compliance and resilience in IT environments. Smartscape topology visualizes the relationships between applications, services, processes, hosts, and data centers, highlighting problems and vulnerabilities.

Systems 264

Systems DevOps Analytics Monitoring 264

Dynatrace

JANUARY 22, 2025

By integrating Dynatrace with GitHub Actions, you can proactively monitor for potential issues or slowdowns in the deployment processes. Automating GitHub runner data ingestion with Dynatrace workflows Workflows within the Dynatrace SaaS platform are a robust tool for automating complex processes.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

FEBRUARY 4, 2025

Building the dream package Observability for Developers, the newly introduced offering from Dynatrace, is designed to cater to developers’ specific needs and challenges. As every developer knows, logs are crucial for uncovering insights and detecting fundamental flaws, such as process crashes or exceptions.

Development 235

Development Analytics Code Architecture 235

Scalegrid

FEBRUARY 24, 2025

The architecture of RabbitMQ is meticulously designed for complex message routing, enabling dynamic and flexible interactions between producers and consumers. Proper setup involves creating a configuration process that accounts for hostname changes, which could prevent nodes from rejoining the cluster.

Best Practices 147

Best Practices Traffic Strategy Efficiency 147

DZone

FEBRUARY 28, 2025

It is designed for simplicity and cost-efficiency. Logs can also be transformed appropriately for presentation, for example, or further pipeline processing. Grafana Loki is a horizontally scalable, highly available log aggregation system. Loki can provide a comprehensive log journey.

Architecture 130

Architecture Scalability Efficiency Cloud 130

The Netflix TechBlog

JANUARY 2, 2025

To better guide the design and budgeting of future campaigns, we are developing an Incremental Return on Investment model. Ideally, we would have causal estimates from an A/B test to use for validation, but since that is not available, we use another causal inference design as one of our ensemble of validation approaches.

Analytics 187

Analytics Engineering Games Entertainment 187

Dynatrace

MARCH 5, 2025

Integration with existing systems and processes : Integration with existing IT infrastructure, observability solutions, and workflows often requires significant investment and customization. Actions resulting from the evaluation The certification process surfaced a few recommendations for improving the app.

Energy 223

Energy Analytics Traffic Cloud 223

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers. At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 14, 2024

The system demands significant effort to design, manage, and maintain, especially as an organization’s needs evolve. If you’re an existing customer and want to upgrade to the attribute-based access control system, check out our new guide , which will walk you through the process.

Monitoring 246

Monitoring Metrics Systems Scalability 246

DZone

OCTOBER 9, 2024

The Scheduler service enables this and is designed to address the performance and scalability improvements on Actor reminders and the Workflow API. In this post, I am going to deep dive into the details of how the Scheduler service was designed and its implementation to give you some background. Prior to v1.14 Prior to v1.14

Scalability 318

Scalability Design Database Processing 318

The Netflix TechBlog

JANUARY 6, 2025

This process involves: Identifying Stakeholders: Determine who is impacted by the issue and whose input is crucial for a successful resolution. To address this, we introduced the term Title Health, a concept designed to help us communicate effectively and capture the nuances of maintaining each titles visibility and performance.

Scalability 215

Scalability Cache Engineering Systems 215

The Netflix TechBlog

MARCH 4, 2025

As a result, requests are uniformly handled, and responses are processed cohesively. This data is processed from a real-time impressions stream into a Kafka queue, which our title health system regularly polls. This centralized format, defined and maintained by our team, ensures all endpoints adhere to a consistent protocol.

Traffic 160

Traffic Strategy Entertainment Innovation 160

The Netflix TechBlog

DECEMBER 17, 2024

How can we design systems that recognize these nuances and empower every title to shine and bring joy to ourmembers? As Netflix expanded globally and the volume of title launches skyrocketed, the operational challenges of maintaining this manual process became undeniable. Yet, these pages couldnt be more different.

Traffic 168

Traffic Scalability Strategy Monitoring 168

Dynatrace

FEBRUARY 28, 2025

It utilizes a Model-View-Controller (MVC) architecture to separate business logic, page design, and control flow. To handle the challenging and time-consuming process of collecting, processing, and analyzing this information, we automated it with an LLM-based multi-agent framework.

Social Media 147

Social Media Java Media Open Source 147

Dynatrace

MARCH 5, 2025

This shift is driving increased adoption of the Dynatrace platform, as our customers leverage our unified observability solutionpowered by Grail, our hyperscale data lakehouse, designed to store, process, and query massive volumes of observability, security, and business data with high efficiency and speed.

Innovation 189

Innovation Speed Efficiency Engineering 189

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