Remove Azure Remove Google Remove Traffic
article thumbnail

The keys to selecting a platform for end-to-end observability

Dynatrace

This enables proactive changes such as resource autoscaling, traffic shifting, or preventative rollbacks of bad code deployment ahead of time. However, the drive to innovate faster and transition to cloud-native application architectures generates more than just complexity — it’s creating significant new risk.

article thumbnail

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

Dynatrace

For example, to handle traffic spikes and pay only for what they use. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Scale automatically based on the demand and traffic patterns.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Kubernetes vs Docker: What’s the difference?

Dynatrace

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. Just as people use Xerox as shorthand for paper copies and say “Google” instead of internet search, Docker has become synonymous with containers. What is Docker? Networking.

article thumbnail

Simplify complex cloud-native environments with AI-driven observability

Dynatrace

In the latest enhancements of Dynatrace Log Management and Analytics , Dynatrace extends coverage for Native Syslog support: Use Dynatrace ActiveGate to automatically add context and optimize network traffic to your Syslog messages.

Cloud 299
article thumbnail

Observe syslog with Dynatrace ActiveGate, a secure, trusted edge component

Dynatrace

You also might be required to capture syslog messages from cloud services on AWS, Azure, and Google Cloud related to resource provisioning, scaling, and security events. ActiveGate also optimizes traffic volume in your network and serves as a secure relay layer in protected networks and DMZs.

article thumbnail

Breaking data silos: Liquid Reply’s journey to custom API observability with OpenTelemetry and Dynatrace

Dynatrace

Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. Although the APIs were all managed by the Google API manager Apigee, the bank group was not getting consistent data types from the output.

article thumbnail

Lessons learned from enterprise service-level objective management

Dynatrace

To ensure their global service levels, they fully embraced the best practices outlined in Google’s SRE handbook , called the “Four Golden Signals,” to standardize what they show on their SRE dashboards. In this case, the customer offers a managed service that runs on Amazon Web Services, Microsoft Azure, and Google. Saturation.