Dynatrace

OCTOBER 23, 2023

At financial services company, Soldo, efficiency and security by design are paramount goals. This efficiency is why he and his teams use Dynatrace for everything in their development, security, and operations (DevSecOps) practices. What is security by design? We’re born in the cloud, we’re a cloud-native company.

Design 264

Design Innovation DevOps Open Source 264

O'Reilly

OCTOBER 22, 2024

By which I mean it can make developers produce more. The question is whether those developers are producing something good or not. The difference between an experienced developer and a junior is that an experienced developer knows: There’s more than one good solution to every problem. This is great!

Development 135

Development Code Google Engineering 135

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

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

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

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 238

Processing Media Latency Innovation 238

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 310

Tuning Open Source Innovation Monitoring 310

Dynatrace

MARCH 5, 2025

From developers leveraging platform engineering tools to optimize application performance, to Site Reliability Engineers (SREs) ensuring resilience, and executives gaining critical business insights, observability increases the velocity of innovation across every level of an organization.

Innovation 232

Innovation Speed Efficiency Engineering 232

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

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

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 219

Processing Big Data Efficiency Engineering 219

Dynatrace

JANUARY 22, 2025

By integrating Dynatrace with GitHub Actions, you can proactively monitor for potential issues or slowdowns in the deployment processes. Improving collaboration across teams By surfacing actionable insights and centralized monitoring data, Dynatrace fosters collaboration between development, operations, security, and business teams.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

MARCH 25, 2025

We recently announced Dynatrace Live Debugger , which gives developers unprecedented access to real-time data and runtime behavior insights. This powerful tool can be leveraged across various environments, including production, to enhance development processes and ensure robust application performance.

Benchmarking 147

Benchmarking Code Open Source Engineering 147

DZone

JUNE 22, 2023

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. API performance optimization is the process of improving the speed, scalability, and reliability of APIs.

Scalability 245

Scalability Design Best Practices Performance 245

The Netflix TechBlog

JANUARY 2, 2025

To facilitate easier access to incrementality results, we have developed an interactive tool powered by this framework. To better guide the design and budgeting of future campaigns, we are developing an Incremental Return on Investment model. We only observe signups, not why members signedup.

Analytics 190

Analytics Engineering Games Entertainment 190

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. In this context, were focused on developing systems that ensure successful title launches, build trust between content creators and our brand, and reduce engineering operational overhead.

Scalability 219

Scalability Cache Engineering Systems 219

O'Reilly

MARCH 25, 2025

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. Were also betting that this will be a time of software development flourishing. The way out?

Systems 69

Systems Development Tuning Monitoring 69

The Netflix TechBlog

MARCH 28, 2025

This limitation has inspired us to develop a foundation model for recommendation. The impetus for constructing a foundational recommendation model is based on the paradigm shift in natural language processing (NLP) to large language models (LLMs). However, as in LLMs, the quality of data often outweighs its sheer volume.

Tuning 163

Tuning Efficiency Latency Strategy 163

Dynatrace

MARCH 17, 2025

For instance, Dynatrace has developed the Cost and Carbon Optimization app, a tool designed to measure, understand, and act on the energy consumption and carbon emissions generated by hybrid and multicloud infrastructures. For example, reporting jobs can process monthly data without running exactly at the end of the month.

Software Engineering 147

Software Engineering Engineering Software Software 147

The Netflix TechBlog

MARCH 4, 2025

Standardization To standardize communication between our observability service and the personalization stacks observability endpoints, weve developed a stable proto request/response format. As a result, requests are uniformly handled, and responses are processed cohesively.

Traffic 172

Traffic Strategy Entertainment Innovation 172

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Greenplum Architectural Design. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JANUARY 26, 2021

DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. With an integrated DevSecOps approach, organizations can reduce security risk without derailing development timelines. Development. What is DevSecOps?

DevOps 306

DevOps Best Practices Open Source Tuning 306

The Netflix TechBlog

DECEMBER 19, 2024

Many of these projects are under constant development by dedicated teams with their own business goals and development best practices, such as the system that supports our content decision makers , or the system that ranks which language subtitles are most valuable for a specific piece ofcontent.

Best Practices 204

Best Practices Cache Metrics Code 204

Dynatrace

AUGUST 13, 2024

Modern observability and security require comprehensive access to your hosts, processes, services, and applications to monitor system performance, conduct live debugging, and ensure application security protection. At Dynatrace, we’ve implemented a thorough and industry-proven approach to developing OneAgent ® that minimizes such risks.

Monitoring 279

Monitoring Open Source Testing Software 279

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Using a low-code visual workflow approach, organizations can orchestrate key services, automate critical processes, and create new serverless applications.

Serverless 325

Serverless AWS Lambda Storage 325

Dynatrace

SEPTEMBER 20, 2022

DevSecOps brings development, operations, and security teams together in the software development lifecycle (SDLC). This approach enables teams to focus on speed and agility in software development without compromising security. Some DevSecOps best practices include the following: Security by design. Release validation.

Best Practices 312

Best Practices DevOps Education Serverless 312

Dynatrace

OCTOBER 16, 2024

Ready-made dashboards and notebooks address this concern by offering pre-configured data visualizations and filters designed for common scenarios like troubleshooting and optimization. Kickstarting the dashboard creation process is, however, just one advantage of ready-made dashboards.

Social Media 263

Social Media Metrics Network Analytics 263

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 Scalability 147

Dynatrace

NOVEMBER 18, 2020

DevOps seeks to accomplish smooth and efficient software creation, delivery, monitoring, and improvement by prioritizing agility and adaptability over rigid, stage-by-stage development. How do organizations implement this approach to software development, and what capabilities do they need to make this shift a success?

DevOps 283

DevOps Infrastructure Open Source Software 283

DZone

MARCH 1, 2023

“A small group of developers and I gathered to design and build a new internal tool and saw an opportunity to do more. We saw ourselves building something more substantial than another internal tool through that process. The above statement was said by Mark Otto, one of the developers of Bootstrap.

Social Media 274

Social Media Media Testing Website 274

O'Reilly

JANUARY 21, 2025

Your companys AI assistant confidently tells a customer its processed their urgent withdrawal requestexcept it hasnt, because it misinterpreted the API documentation. When we talk about conversational AI, were referring to systems designed to have a conversation, orchestrate workflows, and make decisions in real time.

Software Engineering 114

Software Engineering Efficiency Engineering Systems 114

Dynatrace

NOVEMBER 3, 2023

With growing multicloud complexity and the need for organization-wide scalability, self-service and automation capabilities have become increasingly essential for developer productivity. Many consider it an effective solution for improving efficiency and overall satisfaction for developers across a variety of organizations and industries.

Engineering 264

Engineering DevOps Software Engineering Scalability 264

The Netflix TechBlog

MARCH 10, 2023

Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case. This feature support required a significant update in the data table design (which includes new tables and updating existing table columns). N, first N rows are fetched from the table.

Media 243

Media Traffic Processing Design 243

DZone

NOVEMBER 9, 2021

It’s much better to build your process around quality checks than retrofit these checks into the existent process. NIST did classic research to show that catching bugs at the beginning of the development process could be more than ten times cheaper than if a bug reaches production. There are so many benefits. A side note.

Software 245

Software Software Code Design 245

Dynatrace

FEBRUARY 24, 2021

Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps is focused on optimizing software development and delivery, and SRE is focused on operations processes.

DevOps 268

DevOps Software Engineering Speed Google 268

Dynatrace

APRIL 19, 2024

For many, the driving force behind custom solution development is today’s dynamic and rapidly evolving digital landscape, in which organizations find themselves in a race to automate repetitive tasks, drive data-backed decisions, and do more with less.

AWS 264

AWS Analytics Cloud Monitoring 264

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data.

Engineering 245

Engineering Tuning Latency Open Source 245