Remove Artificial Intelligence Remove Code Remove Serverless Remove Systems
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?

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. Its approach to serverless computing has transformed DevOps.

AWS 219
Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Web Development Trends in 2023

KeyCDN

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

article thumbnail

Modern approaches to observability and monitoring for multicloud environments

Dynatrace

This helps developers understand not only what’s wrong in a system — what’s slow or broken — but also why an issue occurred, where it originated, and what impact it will have. Report on the health of the system by measuring performance and resources. Understand how neighboring or dependent services might impact each other.

article thumbnail

Application vulnerabilities: Important lessons from the OWASP top 10 about application security risks

Dynatrace

The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services. To avoid these problems, set up automated DevSecOps release validation and security gates so that no insecure code progresses to production.

article thumbnail

Observability platform vs. observability tools

Dynatrace

Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.

article thumbnail

Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. While app-centric serverless approaches abstract some of the complexities of cloud-native architecture, as the analyst firm Forrester notes , the next frontier for serverless adoption is at the edge.