article thumbnail

How observability, application security, and AI enhance DevOps and platform engineering maturity

Dynatrace

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 195
article thumbnail

Platform engineering: Empowering key Kubernetes use cases with Dynatrace

Dynatrace

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. Data proliferation and the increased complexity of modern multicloud environments are nearly impossible to manage without automation.

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

Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

Five of the most common include cluster instability, resource and cost management, security, observability, and stress on engineering teams. Engineering teams are overwhelmed with stuff to do.” Providing at-a-glance data makes it possible for teams to quickly identify high-level issues and then drill down into the details.

article thumbnail

Stream logs to Dynatrace with Amazon Data Firehose to boost your cloud-native journey

Dynatrace

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. As cloud complexity grows, it brings more volume, velocity, and variety of log data. When trying to address this challenge, your cloud architects will likely choose Amazon Data Firehose.

Cloud 256
article thumbnail

What is chaos engineering?

Dynatrace

Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions. What is chaos engineering? Chaos engineers ask why. As chaos engineers grow confident in their testing, they change more variables and broaden the scope of the disaster.

article thumbnail

Anomaly Detection: Leveraging Rule Engines to Minimize False Alarms

DZone

Anomalies are deviations from expected patterns and can occur in a plethora of contexts — be it in banking transactions, industrial operations, the marketing industry, or healthcare monitoring. This article delves into a specialized approach for anomaly detection that makes extensive use of a rule-based engine.

article thumbnail

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

Dynatrace

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?