Remove Cloud Remove Metrics Remove Traffic Remove Tuning
article thumbnail

9 key DevOps metrics for success

Dynatrace

The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. DevOps metrics to help you meet your DevOps goals. Like any IT or business project, you’ll need to track critical key metrics. Here are nine key DevOps metrics and DevOps KPIs that will help you be successful.

DevOps 206
article thumbnail

Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. And serverless support is a core capability.

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 Cloud Automation Module provides observability-driven automation across the full lifecycle

Dynatrace

Dynatrace launches Cloud Automation module for development, DevOps & SRE teams. Over the past few years, Dynatrace has been a keen voice in the field of DevOps and provided enterprise knowledge and expertise in the shape of Keptn, the open-source, cloud-native, lifecycle orchestration control plane developed as a CNCF sandbox project.

Cloud 171
article thumbnail

Kubernetes vs Docker: What’s the difference?

Dynatrace

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.

article thumbnail

Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 191
article thumbnail

Rapid Event Notification System at Netflix

The Netflix TechBlog

We thus assigned a priority to each use case and sharded event traffic by routing to priority-specific queues and the corresponding event processing clusters. This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns.

Systems 334
article thumbnail

Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Observability for heterogeneous cloud-native technologies is key. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces.

Java 239