Remove Architecture Remove Azure Remove Database Remove Software
article thumbnail

Dynatrace Perform 2022 delivers software intelligence as code, real-time attack blocking

Dynatrace

For operations, development and security teams, the pressure to deliver better, more secure software faster has never been more critical for business value. Dynatrace Delivers Software Intelligence as Code. Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. Dynatrace news. Learn more!

Code 182
article thumbnail

Kubernetes in the wild report 2023

Dynatrace

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Java, Go, and Node.js

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

Lessons learned from enterprise service-level objective management

Dynatrace

Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. Another customer is from a multinational software corporation that develops enterprise software to manage business operations and customer relations.

article thumbnail

Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. They are required to understand the full story of what happened in a system.

Cloud 259
article thumbnail

How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. These range from the simple lift-and-shift re-hosting approach to the significant architectural changes involved in refactoring. We also couldn’t compromise on performance and availability.”

Cloud 171
article thumbnail

How Park ‘N Fly innovates with IT automation, AIOps, and observability

Dynatrace

Park ‘N Fly has created a series of software-based services to enhance customer experience while patrons park. But Park ‘N Fly’s services require software intelligence at every layer of the IT stack. After moving to Microsoft Azure for many of its production-stage applications, Park ‘N Fly’s IT teams experienced blind spots. “We

article thumbnail

Designing Instagram

High Scalability

Architecture. We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. Sample Queries supported by Graph Database. Sending and receiving messages from other users. High Level Design.

Design 334