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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 251
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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

This seamless integration accelerates cloud adoption, allowing enterprises to maximize the value of their AWS infrastructure and focus on innovation rather than managing observability configurations. The new Dynatrace and AWS integrations announced at this event deliver organizations enhanced performance, security, and automation.

AWS 298
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Cut costs and complexity: 5 strategies for reducing tool sprawl with Dynatrace

Dynatrace

Here are five strategies executives can pursue to reduce tool sprawl, lower costs, and increase operational efficiency. All data in context : By bringing together metrics, logs, traces, user behavior, and security events into one platform, Dynatrace eliminates silos and delivers real-time, end-to-end visibility.

Strategy 165
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Dynatrace joins the Microsoft Intelligent Security Association

Dynatrace

The Dynatrace platform has been recognized for seamlessly integrating with the Microsoft Sentinel cloud-native security information and event management ( SIEM ) solution. These reports are crucial for tracking changes, compliance, and security-relevant events. Click here to read our full press release.

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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. What’s behind it all?

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The keys to selecting a platform for end-to-end observability

Dynatrace

On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments. It should also be possible to analyze data in context to proactively address events, optimize performance, and remediate issues in real time.

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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

I realized that our platforms unique ability to contextualize security events, metrics, logs, traces, and user behavior could revolutionize the security domain by converging observability and security. Collect observability and security data user behavior, metrics, events, logs, traces (UMELT) once, store it together and analyze in context.

Analytics 289