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Why applying chaos engineering to data-intensive applications matters

Dynatrace

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.

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Ensure safe and secure releases at scale by providing Golden Paths

Dynatrace

Golden Paths for rapid product development Modern software development aims to streamline development and delivery processes to ensure fast releases to the market without violating quality and security standards. The new functionality has already been released and is available for your use.

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

Dynatrace

Consider Log4Shell, a software vulnerability in Apache Log4j 2 , a popular Java library. Log4j is a ubiquitous software code in various consumer-facing products and services. Modern observability technologies have helped enterprises identify software vulnerabilities such as Log4Shell in their environments. API access management.

Design 197
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How to overcome the cloud observability wall

Dynatrace

Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments. ” A monolithic software application has a few properties that are important to understand. How observability works in a traditional environment.

Cloud 231
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Getting ready! Part 2: A taste of what’s to come in the “Release Better Software Faster” track at Perform 2020

Dynatrace

A taste of what’s to come at Perform 2020’s “Release Better Software Faster” track – we highlighted what you can expect to learn about best practices for sessions 1 – 4 at Perform 2020. I hope these two blogs have got you interested and excited to join us for the “Release Better Software Faster” track at this year’s Perform 2020.

DevOps 103
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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Dynatrace is thrilled to announce the General Availability of support for both the 2.x Dynatrace news. AI-powered observability and end-to-end tracing of serverless applications.

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

Dynatrace

While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation. Detailed performance analysis for better software architecture and resource allocation. Get started today.

Metrics 184