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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.

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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). Hacker News).

Java 244
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Core Web Vitals for Search Engine Optimisation: What Do We Need to Know?

CSS Wizardry

Google’s Core Web Vitals initiative was launched in May of 2020 and, since then, its role in Search has morphed and evolved as roll-outs have been made and feedback has been received. However, to this day, messaging from Google can seem somewhat unclear and, in places, even contradictory. Don’t have time to read 5,500+ words?

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

Dynatrace

Moreover, distributed microservices architecture and data silos mean teams don’t have access to the context that’s critical to make sense of this data and all its different data formats. Although the APIs were all managed by the Google API manager Apigee, the bank group was not getting consistent data types from the output.

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Automated Deployment and Architectural Validation with Pitometer and keptn!

Dynatrace

At Neotys PAC 2019 in Chamonix, France, I presented approaches on how to solve this problem by looking at examples from companies such as Intuit, Dynatrace, Google, Netflix, T-Systems and others. Beyond basic metrics: Detecting Architectural Regressions. It takes your artifacts (e.g: Help us make better deployment decisions.

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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. A service mesh is a dedicated infrastructure layer built into an application that controls service-to-service communication in a microservices architecture.

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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. In this case, the customer offers a managed service that runs on Amazon Web Services, Microsoft Azure, and Google. So, what did they do? Saturation.