Remove Architecture Remove Data Remove Software Architecture
article thumbnail

Optimizing Database Performance in Middleware Applications

DZone

In the realm of modern software architecture, middleware plays a pivotal role in connecting various components of distributed systems. This is crucial because middleware often serves as the bridge between client applications and backend databases, handling a high volume of requests and data processing tasks.

Database 222
article thumbnail

Ready for changes with Hexagonal Architecture

The Netflix TechBlog

We had an interesting challenge on our hands: we needed to build the core of our app from scratch, but we also needed data that existed in many different systems. Existing data was crucial to the behavior and business logic of our application. Existing data was crucial to the behavior and business logic of our application.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

Increasingly, teams release software features more quickly to accommodate customer needs. As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Data supports this shift from monolithic architecture to microservices approaches.

article thumbnail

Data privacy by design: How an observability platform protects data security

Dynatrace

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
article thumbnail

Why applying chaos engineering to data-intensive applications matters

Dynatrace

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. Summary Ensuring fault tolerance in data-intensive, event-driven applications is crucial for successful industry deployments.

article thumbnail

Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

Netflix applies data science to hundreds of use cases across the company, including optimizing content delivery and video encoding. Data scientists at Netflix relish our culture that empowers them to work autonomously and use their judgment to solve problems independently. How could we improve the quality of life for data scientists?

article thumbnail

Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Built-in resiliency ensures data completeness and consistency even if Fluentd or an endpoint service goes down temporarily. Detailed performance analysis for better software architecture and resource allocation.

Metrics 245