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

Dynatrace

Just as organizations have increasingly shifted from on-premises environments to those in the cloud, development and operations teams now work together in a DevOps framework rather than in silos. But as digital transformation persists, new inefficiencies are emerging and changing the future of DevOps.

DevOps 159
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9 key DevOps metrics for success

Dynatrace

You have set up a DevOps practice. Now, with the hard work done, you can sit back, relax, and witness the collaboration between your Dev and Ops teams as they deliver better quality software faster. The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. Dynatrace news.

DevOps 195
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The platform engineer role: A game-changer or just hype?

Dynatrace

As organizations become cloud-native and their environments more complex, DevOps teams are adapting to new challenges. Site reliability engineering first emerged to address cloud computing’s new performance needs. Understanding the platform engineer role DevOps is a constantly evolving discipline.

Games 230
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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. 01:19 – Introducing Shift-Left SLO Quality Gates.

DevOps 243
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Dynatrace enables tool-agnostic automation for your application lifecycle

Dynatrace

However, the teams still share common patterns of processes to manage the software lifecycle. For example, deploying, testing, validating, and releasing software are shared tasks across teams that differ mainly in the underlying tooling used for executing these tasks. To address the problem of processes (i.e.,

DevOps 178
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Amplify PowerUP: From APM to Observability

Dynatrace

The driver for APM to Observability is the complexity cloud environments bring to organizations. The cloud is where Enterprise organizations are transforming, and dynamic multi-clouds are the platform of choice. Traditional approaches and tooling simply don’t work in the new cloud world. DevOps and Cloud Ops Automation.

DevOps 213
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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.”

DevOps 180