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Dynatrace and Google Cloud: Intelligent Kubernetes observability and automation

Dynatrace

In the webinar “ Intelligent Kubernetes observability and automation ,” Dynatrace expert Henrik Rexed and GCP experts Gari Singh and Alisha Stull provide insights into leveraging AI-powered observability and automation to gain granular insights into Kubernetes environments on Google Cloud Platform at an enterprise scale.

Google 264
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The keys to selecting a platform for end-to-end observability

Dynatrace

Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable. This enables proactive changes such as resource autoscaling, traffic shifting, or preventative rollbacks of bad code deployment ahead of time.

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Google Analytics and Dynatrace – Why you need both

Dynatrace

In this post, I wanted to share how I use Google Analytics together with Dynatrace to give me a more complete picture of my customers, and their experience across our digital channels. Google Analytics. Almost all marketers will be familiar with Google Analytics. Dynatrace – understanding customer experience. Thanks, Davis!

Google 202
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Kubernetes vs Docker: What’s the difference?

Dynatrace

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. What is Docker? Networking.

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Geek Reading - Week of June 5, 2013

DZone

These items are the fruits of those ideas, the items I deemed worthy from my Google Reader feeds. Making Google’s CalDAV and CardDAV APIs available for everyone ( Google Developers Blog). Improving testing by using real traffic from production ( Hacker News). History of Lisp ( Hacker News). Java EE 7 is Final.

Java 244
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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. Observability is essential to ensure the reliability, security and quality of any software system. Scale automatically based on the demand and traffic patterns. The elasticity of serverless services helps organizations scale as needed.

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What is a service mesh?

Dynatrace

This becomes even more challenging when the application receives heavy traffic, because a single microservice might become overwhelmed if it receives too many requests too quickly. Istio is a popular Kubernetes-native mesh developed by Google, IBM, and Lyft that helps manage deployments, breeds resilience, and improves security in Kubernetes.

Traffic 279