Remove risk-entity-watch
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Service Level Objectives (SLOs) at Scale (Tips and Tricks)

Dynatrace

As our customers adopt agile software development and continuous delivery to drive value faster, they face new risks that could impact availability, performance, and business KPIs. However, adding more stakeholders can also run the risk of silos developing between internal organizations. How to Read: Identify the entity.

Metrics 239
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Dynatrace Application Security boosts BizDevSecOps for Kubernetes

Dynatrace

If there are vulnerabilities within the Kubernetes platform, that introduces additional risk. Davis, the Dynatrace AI-engine, uses exposure information to assess risk and impact and helps avoid false positives. All Dynatrace Application Security enhancements mentioned in this blog post will be available within the next 90 days.

Java 244
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What is full stack observability?

Dynatrace

This crucial context also enables teams to understand how all entities are connected. Watch webinar now! Because security teams must manage risk, other IT teams can perceive them as innovation roadblocks. Watch webinar now! appeared first on Dynatrace blog. See observability in action!

DevOps 232
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Automated Change Impact Analysis with Site Reliability Guardian

Dynatrace

Site Reliability Guardian further simplifies automation requirements by using entity and ownership information, alerting the right teams when regressions are detected. In the meantime, watch out for upcoming “Observability Clinics” and “Ask me anything” sessions covering the main topics of this blog post.

DevOps 220
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Dynatrace Application Security protects your applications in complex cloud environments

Dynatrace

With DevSecOps processes having shifted security testing “left”, will the teams have enough time to manually analyze, assess, and manage risks based on sampled or scheduled scan results? Davis automatically analyzes and prioritizes alerts and eliminates false positives, helping teams to focus on what matters, and understand risks in context.

Cloud 291
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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

There are two basic styles of message queuing: Point-to-point messaging occurs between two discrete entities that share responsibility for a given task, such as a controller on a factory floor and a discrete piece of machinery. Because queues are persistent, they reduce the risk of errors if parts of the system go offline.

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Accelerate observability with Dynatrace Managed performance improvements

Dynatrace

With Dynatrace Managed Mission Control Support Services watching your deployment, our solution provides you with the highest value, resilience, and proactive support, which translates into the lowest cost of ownership. I wrote about this in the blog post Process more with less using smarter cluster overload prevention for Dynatrace Managed.