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Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

To keep up, organizations are making significant investments to harness this technology and unlock new opportunities to thrive in the era of AI with Microsoft Azure and adjacent technologies. As a Microsoft strategic partner, Dynatrace delivers answers and intelligent automation for cloud-native technologies and Azure.

Azure 130
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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 218
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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

How this data-driven technique gives foresight to IT teams – blog By analyzing patterns and trends, predictive analytics enables teams to take proactive actions to prevent problems or capitalize on opportunities. What is predictive AI? What is AIOps?

AWS 217
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Kubernetes vs Docker: What’s the difference?

Dynatrace

For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. Watch webinar now! Watch webinar now! Docker, what they really mean is Kubernetes vs. Docker Swarm. What are the challenges of container orchestration?

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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 198
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What is observability? Not just logs, metrics and traces

Dynatrace

Business analytics : Organizations can combine business context with full stack application analytics and performance to understand real-time business impact, improve conversion optimization, ensure that software releases meet expected business goals, and confirm that the organization is adhering to internal and external SLAs.

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. Delivering high performance analytics with columnstore index on traditional DW and HTAP workloads.

Servers 40