Remove Hardware Remove Processing Remove Speed
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Business observability: From IT monitoring to driving digital transformation

Dynatrace

They’ve gone from just maintaining their organization’s hardware and software to becoming an essential function for meeting strategic business objectives. These capabilities are essential to providing real-time oversight of the infrastructure and applications that support modern business processes. Operational optimization.

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What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

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What is security analytics?

Dynatrace

The nature of “anytime, anywhere” data generation means data is no longer confined to structured processes and can’t always be defined by existing policies. While it still has value once it has been rehydrated into its original form, this process can be time and resource-intensive.

Analytics 242
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Advanced analytics: Leverage edge IoT data with OpenTelemetry and Dynatrace

Dynatrace

Both methods allow you to ingest and process raw data and metrics. Critical data includes the aircraft’s ICAO identifier , squawk code, flight callsign, position coordinates, altitude, speed, and the time since the last message was received. Sample JSON data is shown below: Figure 4.

IoT 221
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The Speed of Time

Brendan Gregg

What about short-lived processes, like a service restarting in a loop? As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? These can be invisible to top(8).

Speed 103
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The top eight DevSecOps trends in 2022

Dynatrace

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

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Extending relational query processing with ML inference

The Morning Paper

Extending relational query processing with ML inference , Karanasos, CIDR’10. The vision is that data scientists use their favourite ML framework to construct a model, which together with any data pre-processing steps and library dependencies forms a model pipeline. " Query execution.