Remove Efficiency Remove Processing Remove Programming
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Tech Transforms podcast: Navigating complex cloud environments and improving efficiency

Dynatrace

UK Home Office: Metrics meets service The UK Home Office is the lead government department for many essential, large-scale programs. In this episode, Dimitris discusses the many different tools and processes they use. One way the agency saves money and resources is by shutting down the test environment every night and on the weekends.

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DevOps monitoring tools: How to drive DevOps efficiency

Dynatrace

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency.

DevOps 246
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process.

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Dynatrace joins ServiceNow Service Graph Connector Program

Dynatrace

This is why we are excited to announce that Dynatrace has joined ServiceNow’s Service Graph Connector Program. ServiceNow’s IRE (Identification and Reconciliation Engine) provides a centralized framework for performing identification and reconciliation processes across different data sources.

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Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing. Such transformations can reduce storage costs by 99%.

Analytics 272
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The End of Programming as We Know It

O'Reilly

It is not the end of programming. It is the end of programming as we know it today. Assembly language programming then put an end to that. Betty Jean Jennings and Frances Bilas (right) program the ENIAC in 1946. There were more programmers, not fewer This was far from the end of programming, though. I dont buy it.

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Noisy Neighbor Detection with eBPF

The Netflix TechBlog

One issue that often complicates this process is the "noisy neighbor" problem. Continuous instrumentation is critical to catching such matters as they emerge, and eBPF, with its hooks into the Linux scheduler with minimal overhead, enabled us to monitor run queue latency efficiently.

Latency 259