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The platform engineer role: A game-changer or just hype?

Dynatrace

They explore platform engineering’s multiple definitions, its pros and cons, and how practitioners can shape this emerging DevOps concept. The “cognitive load” refers to the additional requirements of building an application beyond the code itself. Understanding the platform engineer role DevOps is a constantly evolving discipline.

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ACM Survey, Part 2: How your peers use production monitoring data to innovate faster

Dynatrace

Ideally, QA teams use production data for better test definitions (based on real use cases) and better workload modeling for load testing (based on real-world load behavior). The post ACM Survey, Part 2: How your peers use production monitoring data to innovate faster appeared first on Dynatrace blog. This is good news.

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Dynatrace and Google unleash cloud-native observability for GKE Autopilot

Dynatrace

Dynatrace’s collaboration with Google addresses these needs by providing simple, scalable, and innovative data acquisition for comprehensive analysis and troubleshooting. kubectl apply -f example.yml After applying the Dynakube definition, you must label the namespaces you wish to monitor with the selector we defined.

Google 213
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Amplify PowerUP: From APM to Observability

Dynatrace

But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation. The general agreed-upon definition of. Traditional approaches and tooling simply don’t work in the new cloud world.

DevOps 211
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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018).

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A three-step implementation guide to answer-driven SLO-based release validation

Dynatrace

The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project. If you want more information on Keptn, then I suggest joining the Keptn Open Source community and help us drive innovation that benefits both the open-source project and Dynatrace Cloud Automation Solution.

DevOps 243
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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. By definition, zero-day attacks take organizations by surprise. Check out the following resources to learn more.

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