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What is distributed tracing and why does it matter?

Dynatrace

Distributed tracing follows an interaction by tagging it with a unique identifier, which stays with it as it interacts with microservices, containers, and infrastructure. It can also offer real-time visibility into user experience, from the top of the stack right down to the application layer and the large-scale infrastructure beneath.

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What is distributed tracing and why does it matter?

Dynatrace

Distributed tracing follows an interaction by tagging it with a unique identifier, which stays with it as it interacts with microservices, containers, and infrastructure. It can also offer real-time visibility into user experience, from the top of the stack right down to the application layer and the large-scale infrastructure beneath.

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Legacy Architecture Modernisation With Strategic Domain-Driven Design

Strategic Tech

Most organisations go through an architecture modernisation effort at some point as their systems drift into a state of intolerable maintenance costs and they diverge too far from modern technological advances. This means a software architecture should be purposely designed for the most favourable business consequences.

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5 key areas for tech leaders to watch in 2020

O'Reilly

This combination of usage and search affords a contextual view that encompasses not only the tools, techniques, and technologies that members are actively using, but also the areas they’re gathering information about. Software architecture, infrastructure, and operations are each changing rapidly. Coincidence?

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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

According to IDC, the requirement of the digital economy to deliver high-quality applications at the speed of business has driven a shift to highly modular, distributed, and continuously updated microservices-based architectures that use cloud-native technologies. This eliminates any long-term commitments to a technology stack.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. What does a modern technology stack for streamlined ML processes look like? All ML projects are software projects. Software Architecture.

DevOps 137
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Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

It collects, processes, and outputs log files to and from a wide variety of technologies. Detailed performance analysis for better software architecture and resource allocation. Fluentd is an open-source data collector that unifies log collection, processing, and consumption.

Metrics 188