Remove Architecture Remove Artificial Intelligence Remove Serverless
article thumbnail

The keys to selecting a platform for end-to-end observability

Dynatrace

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Identifying the ones that truly matter and communicating that to the relevant teams is exactly what a modern observability platform with automation and artificial intelligence should do.

article thumbnail

What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. So what exactly does “serverless” mean, and how can your organization benefit from it?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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

Dynatrace

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Dynatrace news. Learn more here. What is AWS Lambda?

AWS 246
article thumbnail

Modern approaches to observability and monitoring for multicloud environments

Dynatrace

Observability is the new standard of visibility and monitoring for cloud-native architectures. To identify those that matter most and make them visible to the relevant teams requires a modern observability platform with automation and artificial intelligence (AI) at the core. Observability brings multicloud environments to heel.

article thumbnail

Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Limited data availability constrains value creation.

Analytics 264
article thumbnail

CIO research: Cloud complexity of growing concern

Dynatrace

IT performance problems increase with cloud-native architectures. 76% said they don’t have complete visibility into application performance in cloud-native architectures. More specifically, our report found: 49% of CIOs are concerned IT performance problems will cause a loss in revenue.

Cloud 223
article thumbnail

What is observability? Not just logs, metrics and traces

Dynatrace

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability is also a critical capability of artificial intelligence for IT operations (AIOps). Dynatrace news.

Metrics 363