Tue.Feb 28, 2023

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What Is API-First?

DZone

API-First is an approach to software development that emphasizes designing and developing the API as the primary focus of development. This approach offers many benefits, including increased flexibility, reduced development time, increased reliability, and easier testing. By developing the API first, developers can create a stable and consistent API that can be used by multiple clients and platforms.

Design 264
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Dynatrace SaaS release notes version 1.261

Dynatrace

We have released Dynatrace version 1.261. To learn what’s new, have a look at the release notes. The post Dynatrace SaaS release notes version 1.261 appeared first on Dynatrace news.

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How to Monitor Apache Flink With OpenTelemetry

DZone

Apache Flink monitoring support is now available in the open-source OpenTelemetry collector. You can check out the OpenTelemetry repo here ! You can utilize this receiver in conjunction with any OTel collector: including the OpenTelemetry Collector and other distributions of the collector. Today we'll use observIQ’s OpenTelemetry distribution, and shipping Apache Flink telemetry to a popular backend: Google Cloud Ops.

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Dynatrace collaborates with Microsoft to empower DevSecOps at scale

Dynatrace

Secure your hybrid cloud environments at runtime with Dynatrace using runtime vulnerability analysis, AI-assisted prioritization, runtime application protection, and log audit and forensics. Integrating with Microsoft Sentinel adds security events to our Runtime Application Protection and provides additional data for investigation with our security analytics features using Dynatrace Query Language on Grail.

Analytics 147
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5 Challenges Every Engineering Manager Must Overcome

DZone

Transitioning to a managerial role could be hard. One day, you are developing and reviewing code. The next day, you are handling not just individuals but a multitude of teams, evolving into a people person and leading your squad toward maximum productivity. Each engineering manager is different, and so are their roles, responsibilities, and ideas to better their teams.

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! The video is now on [YouTube]: The slides are [online] and as a [PDF]: first prev next last / permalink/zoom In Q&A I was asked about CXL (compute express link) which was fortunate

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Node.js Performance: Best Ways to Notch Up the Application Speed

Simform

The market popularity of a web application directly or indirectly depends on the performance of its backend frameworks. Node.js is a versatile backend runtime environment that enables tech teams to achieve top-notch application performance.

Speed 52

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Shadow Work

The Agile Manager

Last month, Rana Foroohar argued in the FT that worker productivity is declining in no small part because of shadow work. Shadow work is unpaid work done in an economy. Historically, this referred to things like parenting and cleaning the house. The definition has expanded in recent years to include tasks that used to be done by other people that most of us now do for ourselves, largely through self-service technology, like banking and travel booking.

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Effects of CPU topology on sqlserver guests with AHV.

n0derunner

VM CPU Topology The topology (layout) that AHV presents virtual Sockets/CPU to the guest operating system will usually be different than the physical topology. This is expected because we typically present a subset of all cores to the guest VMs. Usually it is the total number of vCPU given to the VM that matters, not … The post Effects of CPU topology on sqlserver guests with AHV. appeared first on n0derunner.

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Distributed Tracing: A Full Guide

DZone

What Is Distributed Tracing? The rise of microservices has enabled users to create distributed applications that consist of modular services rather than a single functional unit. This modularity makes testing and deployment easier while preventing a single point of failure with the application. While applications begin to scale and distribute their resources amongst multiple cloud-native services, tracing a single transaction becomes tedious and nearly impossible.

Cloud 331