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Black Friday traffic exposes gaps in observability strategies

Dynatrace

What’s the problem with Black Friday traffic? But that’s difficult when Black Friday traffic brings overwhelming and unpredictable peak loads to retailer websites and exposes the weakest points in a company’s infrastructure, threatening application performance and user experience. These kinds of problems are unacceptable.

Traffic 246
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From syslog to AWS Firehose: Dynatrace log management innovations that enhance observability

Dynatrace

We’re excited to announce several log management innovations, including native support for Syslog messages, seamless integration with AWS Firehose, an agentless approach using Kubernetes Platform Monitoring solution with Fluent Bit, a new out-of-the-box ingest dashboard, and OpenPipeline ingest improvements.

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The keys to selecting a platform for end-to-end observability

Dynatrace

On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments. This enables proactive changes such as resource autoscaling, traffic shifting, or preventative rollbacks of bad code deployment ahead of time.

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Path to NoOps part 2: How infrastructure as code makes cloud automation attainable—and repeatable—at scale

Dynatrace

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Infrastructure-as-code. But how does it work in practice?

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Title Launch Observability at Netflix Scale

The Netflix TechBlog

This approach provides a few advantages: Low burden on existing systems: Log processing imposes minimal changes to existing infrastructure. To detect issues proactively, we need to simulate traffic and predict system behavior in advance. Stay tuned for a closer look at the innovation behind thescenes!

Traffic 172
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Bringing IT automation to life at Dynatrace Innovate Barcelona

Dynatrace

At the Dynatrace Innovate conference in Barcelona, Bernd Greifeneder, Dynatrace chief technology officer, discussed key examples of how the Dynatrace observability platform delivers value well beyond traditional monitoring. The post Bringing IT automation to life at Dynatrace Innovate Barcelona appeared first on Dynatrace news.

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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

For example, these include verifying app deployments, isolating faults coming from a single IP address, identifying root causes of traffic spikes, or investigating malicious user activity. Distributed traces are the path of a transaction as it touches applications, services, and infrastructure from beginning to end.

Analytics 246