Remove Analytics Remove Artificial Intelligence Remove Code Remove Serverless
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 225
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.

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

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

Dynatrace

Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. And the ability to easily create custom apps enables teams to do any analytics at any time for any use case.

article thumbnail

Modern approaches to observability and monitoring for multicloud environments

Dynatrace

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.

article thumbnail

How to evaluate modern APM solutions

Dynatrace

Artificial intelligence for IT operations (AIOps) for applications. The right APM tool will also help you keep a close eye on application transactions along with their business context and code-level detail. We use a lot of serverless (FaaS) in our infrastructure, and Dynatrace really helps us troubleshoot failed invocations.

article thumbnail

Applying real-world AIOps use cases to your operations

Dynatrace

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. But before that new code can be deployed, it needs to be tested and reviewed from a security perspective.

DevOps 192
article thumbnail

What is observability? Not just logs, metrics and traces

Dynatrace

Observability is also a critical capability of artificial intelligence for IT operations (AIOps). DevSecOps teams can tap observability to get more insights into the apps they develop, and automate testing and CI/CD processes so they can release better quality code faster.

Metrics 363