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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

By automating OneAgent deployment at the image creation stage, organizations can immediately equip every EC2 instance with real-time monitoring and AI-powered analytics. This is particularly valuable for enterprises deeply invested in VMware infrastructure, as it enables them to fully harness the advantages of cloud computing.

AWS 298
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Dynatrace elevates data security with separated storage and unique encryption keys for each tenant

Dynatrace

Protect data in multi-tenant architectures To bring you the most value by unifying observability and security in one analytics and automation platform powered by AI, Dynatrace SaaS leverages a multitenancy architecture, enabling efficient and scalable data ingestion, querying, and processing on shared infrastructure.

Storage 246
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What is security analytics?

Dynatrace

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important? Here’s how.

Analytics 264
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Unlock log analytics: Seamless insights without writing queries

Dynatrace

Dynatrace automatically puts logs into context Dynatrace Log Management and Analytics directly addresses these challenges. You can easily pivot between a hot Kubernetes cluster and the log file related to the issue in 2-3 clicks in these Dynatrace® Apps: Infrastructure & Observability (I&O), Databases, Clouds, and Kubernetes.

Analytics 267
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Helping customers unlock the Power of Possible

Dynatrace

The Dynatrace platform automatically captures and maps metrics, logs, traces, events, user experience data, and security signals into a single datastore, performing contextual analytics through a “power of three AI”—combining causal, predictive, and generative AI. It empowers teams to act proactively rather than reactively.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. This decoupling simplifies system architecture and supports scalability in distributed environments. Kafka achieves scalability by distributing topics across multiple partitions and replicating them among brokers.

Latency 147
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Better dashboarding with Dynatrace Davis AI: Instant meaningful insights

Dynatrace

Ensuring smooth operations is no small feat, whether you’re in charge of application performance, IT infrastructure, or business processes. This is where Davis AI for exploratory analytics can make all the difference. Your trained eye can interpret them at a glance, a skill that sets you apart.

Traffic 262