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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 202
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Kubernetes vs Docker: What’s the difference?

Dynatrace

The time and effort saved with testing and deployment are a game-changer for DevOps. Rather than individually managing each container in a cluster, a DevOps team can instead tell Kubernetes how to allocate the necessary resources in advance. Watch webinar now! Watch webinar now! appeared first on Dynatrace blog.

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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

Why this deterministic AI approach is critical to business success – blog Today’s organizations need to go beyond a traditional, correlation-driven approach to identify the underlying causes and effects of an event or behavior and drive better DevOps automation. Enter causal AI. What is predictive AI? What is AIOps?

AWS 203
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Architected for resiliency: How Dynatrace withstands data center outages

Dynatrace

Besides real user analytics, we also use Dynatrace Synthetic Monitoring , which continuously validates successful logins to our SaaS tenants on each cluster. Those tests get executed from two locations (Paris and London) hosted by different cloud vendors (Azure & AWS). Fact #3: Minimum impact detected through synthetics.

AWS 182
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What is observability? Not just logs, metrics and traces

Dynatrace

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. Watch webinar now! These actionable insights drive the faster and more accurate responses that DevOps and SRE teams require. But what is observability?

Metrics 363
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Experience SQL Server 2017: Start your journey here

SQL Server According to Bob

Webinar: Get enterprise-grade features at open-source prices with SQL Server 2017 on Linux. Microsoft Data Platform – SQL Server 2017 and Azure Data Services. Graph extensions in Microsoft SQL Server 2017 and Azure SQL Database. DevOps: CI/CD with Microsoft SQL Server 2017. Microsoft SQL Server 2017 Deep Dive.

Servers 40