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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. At its core, DevOps is a collaborative framework between development and operations teams whose goal is to streamline software development. As a result, communication suffers. Communication is key.

Games 238
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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). software development, IT operations, support, and business teams). This is good news. The case against silos.

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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 220
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Is DevOps dead? Exploring the changing IT landscape and future of DevOps

Dynatrace

With tool sprawl and data proliferation, problem resolution is increasingly difficult and takes time away from innovation. DevOps is a framework that aims to eliminate organizational silos to streamline successful software delivery. One of the main roadblocks that arises with a broader definition for DevOps is responsibility.

DevOps 163
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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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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. Second, for causal AI to provide a deep and rich context to unleash GPT’s full potential for software delivery and productivity use cases.” This vulnerability assessment can happen in real time with no manual effort.

DevOps 187
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A three-step implementation guide to answer-driven SLO-based release validation

Dynatrace

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. Dynatrace news.

DevOps 245