Remove tag business-architecture
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Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? Dynatrace news. Does a certain issue impact a specific service?

Analytics 246
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What is FinOps? How to keep cloud spend in check

Dynatrace

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. Further, a Flexera report found that small to medium-sized businesses spend approximately $1.2 Further, a Flexera report found that small to medium-sized businesses spend approximately $1.2 What is FinOps?

Cloud 195
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Measuring the importance of data quality to causal AI success

Dynatrace

Modern, cloud-native architectures have many moving parts, and identifying them all is a daunting task with human effort alone. Another common impediment is manual data tagging and handling, an error-prone process that teams should minimize. For starters, the sheer amount of data can make management daunting.

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Dynatrace extends automatic and intelligent observability to cloud and Kubernetes logs for smarter automation at scale

Dynatrace

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Business context is missing without user sessions and experiences.

Cloud 259
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Part 1: How Dynatrace and GitHub help you deliver better software faster

Dynatrace

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Keeping business stakeholders in the loop with end-to-end observability with deep insight and continuous feedback loops?. #2 SLO validation – ?Automatically Topics in this blog series. 2 Confidence: .

Software 246
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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

The Netflix TechBlog

Notice the three Cosmos subsystems: Optimus, an API layer mapping external requests to internal business models, Plato, a workflow layer for business rule modeling, and Stratum, the serverless layer for running stateless and computational-intensive functions. System Architecture Timestone is a gRPC-based service.

Latency 212
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What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

To understand why observability and OTel’s approach to it are so important, let’s take a deeper look at telemetry data itself, and how it can help organizations transform how they do business. OpenTelemetry reference architecture. Source: OpenTelemetry Documentation. What is telemetry data? Span ingestion.