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Speed Trino Queries With These Performance-Tuning Tips

DZone

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability.

Tuning 152
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Introduction to KVM, SR-IOV, and Exploring the Advantages of SR-IOV in KVM Environments

DZone

Embedded within the Linux kernel, KVM empowers the creation of VMs with their virtualized hardware components, such as CPUs, memory, storage, and network cards, essentially mimicking a machine. KVM functions as a type 1 hypervisor, delivering performance similar to hardware—an edge over type 2 hypervisors.

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Best practices for Fluent Bit 3.0

Dynatrace

However, you can also use Fluent Bit as a processor because you can perform various actions on the data. which offers a range of updates: HTTP/2 support: Fluentbit now supports HTTP/2, enabling efficient data transmission with Gzip compression for OpenTelemetry data, enhancing pipeline performance. What’s new in Fluent Bit 3.0

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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

These are just some of the topics being showcased at Perform 2023 in Las Vegas. Perform 2023 news At Perform 2023 in Las Vegas, the headliner theme is IT automation. What’s more, organizations are no longer concerned only about application performance and sales numbers. We’ll post news here as it happens!

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Kubernetes in the wild report 2023

Dynatrace

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Open-source software drives a vibrant Kubernetes ecosystem. Java, Go, and Node.js

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs. Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured.

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Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. How can we optimize for performance and scalability? Does a certain issue impact a specific service?

Analytics 245