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DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. DevOps engineer tools can help ease the pressure as environment complexity grows. ” What does a DevOps platform engineer do? Atlassian Jira.

DevOps 187
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Running the OpenTelemetry demo application with Dynatrace

Dynatrace

The demo has been in active development since the summer of 2022 with Dynatrace as one of its leading contributors. The demo application is a cloud-native e-commerce application made up of multiple microservices. OpenTelemetry demo application architecture diagram. By default, the demo comes with?Jaeger

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What is Google Cloud Functions?

Dynatrace

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 218
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What is log management? How to tame distributed cloud system complexities

Dynatrace

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services. Most infrastructure and applications generate logs.

Systems 183
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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world.

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Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Dynatrace

This significantly accelerates release cycles, reduces time to market, prevents unexpected disruptions, and lowers costs by catching issues early in the software development lifecycle (SDLC). The ability to scale testing as part of the software development lifecycle (SDLC) has proven difficult.

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Uplevel production resiliency with automated problem remediation

Dynatrace

While development teams focus on innovation and quick release cycles, operations teams and Site Reliability Engineers (SREs) focus on stability. Dynatrace Cloud Automation lets you track your most critical Service Level Objectives ( SLO ). Dynatrace Cloud Automation turns off a faulty feature flag to prevent downtime.

DevOps 226