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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

Today, we’re excited to present the Distributed Counter Abstraction. In this context, they refer to a count very close to accurate, presented with minimal delays. However, this category requires near-immediate access to the current count at low latencies, all while keeping infrastructure costs to a minimum.

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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. The market is saturated with tools for building eye-catching dashboards, but ultimately, it comes down to interpreting the presented information.

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Trace, diagnose, resolve: Introducing the Infrastructure & Operations app for streamlined troubleshooting

Dynatrace

Infrastructure and operations teams must maintain infrastructure health for IT environments. With the Infrastructure & Operations app ITOps teams can quickly track down performance issues at their source, in the problematic infrastructure entities, by following items indicated in red. What’s next?

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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

This leads to a more efficient and streamlined experience for users. Lastly, monitoring and maintaining system health within a virtual environment, which includes efficient troubleshooting and issue resolution, can pose a significant challenge for IT teams.

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Title Launch Observability at Netflix Scale

The Netflix TechBlog

This led to a suite of fragmented scripts, runbooks, and ad hoc solutions scattered across teamsan approach that was neither sustainable nor efficient. This approach provides a few advantages: Low burden on existing systems: Log processing imposes minimal changes to existing infrastructure.

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Viking Enterprise Solutions: Empowering Modern Data Infrastructure

DZone

This article explores how VES can help professionals in their roles, focusing on key areas of expertise and product offerings based on their recent presentation to the 56th IT Press Tour.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. This allows Kafka clusters to handle high-throughput workloads efficiently.

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