Remove Azure Remove Google Remove Programming
article thumbnail

Dynatrace elevates data security with separated storage and unique encryption keys for each tenant

Dynatrace

The Dynatrace SDL includes penetration testing, red teaming, continuous threat modeling and risk assessments, a public bug bounty program, and vulnerability scans. What’s next Next, the enhanced data separation and encryption features are planned for release to all customers on Azure and then to all customers on Google Cloud.

Storage 246
article thumbnail

Dynatrace AI-powered platform operates on AWS Tokyo

Dynatrace

Dynatrace, operated from Tokyo, addresses the data residency needs of the Japanese market Dynatrace operates its AI-powered unified platform for observability, security, and business analytics as a SaaS solution in 19 worldwide regions on three hyperscalers (AWS, Azure, and GCP). Data residency in Japan is a must.

AWS 278
Insiders

Sign Up for our Newsletter

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

article thumbnail

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

Dynatrace

In addition to existing support for AWS Lambda , this expansion includes Microsoft Azure Functions, Google Cloud Functions, as well as managed Kubernetes environments, messaging queues, and cloud databases across all major cloud providers. Dynatrace Launches DevSecOps Automation Alliance Partner Program.

Code 246
article thumbnail

Kubernetes in the wild report 2023

Dynatrace

The report also reveals the leading programming languages practitioners use for application workloads. are the top 3 programming languages for Kubernetes application workloads. are the top Kubernetes programming languages. This provided unique insights into the Kubernetes programming languages organizations use.

article thumbnail

Generative AI model observability, cloud modernization take center stage with partners at Dynatrace Perform 2024

Dynatrace

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models.

Cloud 264
article thumbnail

What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Security, databases, and programming languages effortlessly remain up to date and secure in the serverless model.

article thumbnail

Weighing a microservices approach means covering all architecture bases

Dynatrace

Then, they can split these services into functional application programming interfaces (APIs), rather than shipping applications as one large, collective unit. In fact, giants like Google and Microsoft once employed monolithic architectures almost exclusively. But nothing is perfect — and microservices is no exception. Service mesh.