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The top four log analytics and log management best practices

Dynatrace

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

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Easily monitor IBM i with updated Dynatrace extension

Dynatrace

IBM i is designed to integrate seamlessly with legacy and modern applications, allowing businesses to run critical workloads and applications. It’s all monitored remotely ! Get a health overview of each system Monitor your system’s performance and detect unexpected events such as IPLs, CPU spikes, and exceeded total job limits.

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How unified data and analytics offers a new approach to software intelligence

Dynatrace

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause.

Analytics 187
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IT Operations: A Use Case in the 2023 Gartner Critical Capabilities for Application Performance Monitoring and Observability

Dynatrace

In the recently published Gartner® “ Critic al Capabilities for Application Performance Monitoring and Observability,” Dynatrace scored highest for the IT Operations Use Case (4.15/5) Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. out of 5.00.

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Optimize mobile app performance, adoption, and conversions with Session Replay and business analytics

Dynatrace

New technologies like Xamarin or React Native are accelerating the speed at which organizations release new features and unlock market reach. And when every team has its own monitoring requirements, you can easily end up with up to 10 different monitoring solutions. Dynatrace news.

Analytics 203
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The history of Grail: Why you need a data lakehouse

Dynatrace

Existing observability and monitoring solutions have built-in limitations when it comes to storing, retaining, querying, and analyzing massive amounts of data. Grail needs to support security data as well as business analytics data and use cases. This goal isn’t limited to observability efforts. Ingest and process with Grail.

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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Provide self-service platform services with dedicated UI for development teams to improve developer experience and increase speed of delivery. Furthermore, a centralized Kubernetes management view offers extended centralized monitoring and alerting capabilities, particularly for node failure incidents.