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Logging and Monitoring in Google Cloud Platform (GCP)

DZone

GCP (Google Cloud Platform) provides a comprehensive set of cloud services for developing, deploying, and managing applications and infrastructure. To maintain the performance, security, and cost-effectiveness of your cloud-based resources, robust logging and monitoring are required.

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Driving your FinOps strategy with observability best practices

Dynatrace

Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. It provides visibility, accountability, and optimization opportunities within the context of observability practices in cloud computing environments. ” But Dynatrace goes further.

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The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. There are now many more applications, tools, and infrastructure variables that impact an application’s performance and availability.

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Enhance data collection with Dynatrace OpenTelemetry Collector distribution

Dynatrace

Before we get into the specifics, let’s first recap the benefits OpenTelemetry offers and why using collectors is a best practice. Developers and operators can gain insights into their applications and infrastructure without fear of vendor lock-in because OpenTelemetry is fully open source and owned by CNCF.

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Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Dynatrace

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. Dynatrace combines Synthetic Monitoring with automatic release validation for continuous quality assurance across the SDLC.

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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. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.