Remove knowledge-base dependency-mapping
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Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

By adding information about dependencies between entities, Dynatrace enables seamless navigation across all data, in context, with explorative analysis of the cause-and-effect service chain. In this way, thanks to the extensive domain knowledge that it can model, Dynatrace is able to speak in your IT department’s own internal language.

Analytics 246
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The anatomy of the Spring4Shell vulnerability and how to prevent its effects—and those of similar vulnerabilities

Dynatrace

Spring is a widely used open source Java-based framework for building web applications with the Java Enterprise Edition platform. A core logic of the Spring Framework is dependency injection , which allows developers to build decoupled IT architectures. Spring enables developers to map user requests to Java objects.

Java 218
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SLO burn: SLO monitoring and alerting on SLOs using error-budget burn rates with unified observability and AI

Dynatrace

In the digital age, a company’s success depends on the reliability of its online services. Monitoring performance against these objectives using AI is where the true value lies, based on establishing error budgets and monitoring an error budget burn rate. What is SLO monitoring? And what is an error budget burn rate?

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AIOps and observability: The sense-think-act model for modern observability

Dynatrace

This includes automatically discovering all cloud services, mapping all application and infrastructure dependencies, and continuously learning from them. This is similar to a self-driving car that constantly updates its knowledge of the environment based on the incoming information from cameras, radar, and other sensors.

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Dynatrace’s automatic and intelligent observability co-flies with GKE Autopilot for managed Kubernetes – you can have it all!

Dynatrace

It fully embraces Kubernetes, yet simplifies operations with optimized, ready-for-production clusters, strong security, and ops-friendly configuration – all based on the experience of Google’s SRE teams. Further your Kubernetes knowledge. With GKE Autopilot, go ahead and glide past the nitty-gritty details of cluster configurations.

DevOps 223
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The White House Executive Order on Cybersecurity: How Dynatrace observability delivers on three essential directives

Dynatrace

The least privilege enforcement relies upon Dynatrace’s end-to-end observability of the entire cyber ecosystem, so agencies can develop a comprehensive risk map. Our expertise and passion for ongoing discovery can immediately augment agencies’ existing tactical knowledge. before they even get started.

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Platform Engineering Teams Done Right…

Adrian Cockcroft

The first principle I have is that it isn’t one platform, it’s layers of platforms that need different specialized knowledge so its usually many platform teams. The virtualization and networking platform could be datacenter based, with something like VMware, or cloud based using one of the cloud providers such as AWS EC2.