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Accelerate transformation with automated observability for Google Cloud Platform

Dynatrace

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. However, as businesses migrate to the Google Cloud Platform, they’re faced with even more complex, distributed environments that are inherently difficult to observe and operate.

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

Dynatrace

Although the APIs were all managed by the Google API manager Apigee, the bank group was not getting consistent data types from the output. This restriction made it impossible to totally export all traces from Apigee unless the sampling rate was below the maximum, in which case they could use Google Cloud Trace.

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Safeguarding our most trusted software with open source technology

Dynatrace

Are you uneasy about application security when government agencies and other organizations crowdsource code? Episode 55 of Tech Transforms tackles these security reservations about open source code. During his discussion with me and Mark Senell, Dr. Magill explains how government agencies can securely use open source code.

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No code automation testing: When to use and when not to use

Testsigma

Having a coded approach to test automation has its benefits. No code automation testing is an alternate approach that might be suitable for you and give you ROI sooner, providing few conditions are met. In this article, we will discuss the scenarios when you can use no code automation testing and when you should not use it.

Code 108
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Google planning a new ‘Badge of Shame’ for slow websites

MachMetrics

Google has announced plans for a new badging system that would let users know whether a website typically loads slowly. In a post detailing the thought process behind the planned feature, the Chrome team explains that “In the future, Chrome may identify sites that typically load fast or slow for users with clear badging ”.

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

Dynatrace

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. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively?

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? Using an interactive no/low code editor, you can create workflows or configure them as code. One of the powerful workflows to leverage is continuous release validation.

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