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

Dynatrace

The “cognitive load” refers to the additional requirements of building an application beyond the code itself. When developers begin building applications, they also must spin up infrastructure, GitOps, tooling, services meshes, and more to run applications. Education and collaboration are great ways to avoid this pitfall.

Games 278
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Dynatrace and TechCrunch reveal why AI-powered observability and continuous automation are crucial for digital transformation

Dynatrace

It’s an educated guess. This approach, used by our Davis AI-engine, determines the relationships and dependencies among apps, services, and infrastructure based on an automated, interactive real-time map of the environment called Smartscape. It even knows what’s happening at a transaction level, right down to the code.

Education 245
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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code.

AWS 246
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Site reliability engineering: 5 things you need to know

Dynatrace

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Shift-left using an SRE approach means that reliability is baked into each process, app and code change. Dynatrace news.

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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Consider the following ways teams can apply log analytics to on-premises and multicloud infrastructures: Application deployment verification. Better-quality code.

Analytics 246
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Consider the following ways teams can apply log analytics to on-premises and multicloud infrastructures: Application deployment verification. Better-quality code.

Analytics 245
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Causal AI use cases for modern observability that can transform any business

Dynatrace

This information can enable more educated investment choices. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Data lakehouses can store and query structured, semi-structured, and unstructured data on low-cost infrastructure.