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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. It helps developers and operators identify and troubleshoot issues, optimize performance and improve user experience. Scale automatically based on the demand and traffic patterns. and GoLang to reduce the necessary boilerplate code to a minimum.

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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.

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Lessons learned from enterprise service-level objective management

Dynatrace

Organizations have multiple stakeholders and almost always have different teams that set up monitoring, operate systems, and develop new functionality. Another customer is from a multinational software corporation that develops enterprise software to manage business operations and customer relations. A world of misunderstandings.

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Artificial Intelligence in Cloud Computing

Scalegrid

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

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Stuff The Internet Says On Scalability For June 22nd, 2018

High Scalability

. $40 million : Netflix monthly spend on cloud services; 5% : retention increase can increase profits 25%; 50+% : Facebook's IPv6 traffic from the U.S, Quite contrary, this was the era of the 250GB / month cap from Comcast and we could observe clearly that they were throttling Netflix traffic. is impressive: I wrote FastBitSet.js

Internet 113
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Pre-Deployment Policy Compliance

Abhishek Tiwari

In the fast-paced world of software development, the ability to deploy applications quickly and efficiently is crucial for organizations. In traditional software development practices, compliance checks often occur late in the development lifecycle, closer to deployment. Checkov: Checkov is a static code analysis tool.

AWS 52
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Monitoring Serverless Applications

Dotcom-Montior

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. In serverless architecture, when applications are developed, they are typically composed of many different services. Focus on Application Development. Benefits of a Serverless Model.