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How Developer Observability is Transforming Dev Role

Hacker Earth Developers Blog

Complex, distributed IT systems make it harder for us to glean meaningful data insights and resolve issues. It aggregates complex telemetry data—metrics, logs, and traces—from disparate systems and applications in your business. It can tell you why it’s happening, illuminating the root cause of an issue.

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Top Sourcing Tools for Recruiters in 2024: Free and Premium Options

Hacker Earth Developers Blog

This blog will explore the best sourcing tools for recruiters in 2024, including both free and premium options for tech, and non-tech recruiting. We’ll delve into their features, functionalities, and how they can boost your recruitment efficiency and effectiveness. That’s the power of sourcing tools.

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Spend Smarter, Not More: A Guide to AWS Storage Cost Optimization

Xebia

Whether you’re an IT professional managing vast amounts of enterprise data, a small business owner seeking to control costs , or simply an AWS user looking to make the most of your cloud storage, this blog will provide valuable inputs to help you optimize your AWS storage bill effectively. Accessing it more than once a month.

Storage 147
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Metrics Matter: The 4 Types of Code-Level Data OverOps Collects

OverOps

But when it comes to delivering reliable software and troubleshooting issues, what is the right data? To answer this question, we recently created a framework that helps organizations pinpoint critical gaps in data and metrics that are holding them back on their reliability journeys. Code Metrics.

Metrics 207
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Observe Everything

Cloudera

Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. There are many logs and metrics, and they are all over the place. as they use CDP.

Metrics 89
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One Big Cluster Stuck: The Right Tool for the Right Job

Cloudera

Airflow provides a trove of libraries and as well as operational capabilities like error handling to assist with troubleshooting. Impala works best for analytical performance with properly designed datasets (well-partitioned, compacted). Over time, using the wrong tool for the job can wreak havoc on environmental health.

Tools 78
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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

While an available version of each open source project is fully functional on its own, it was not built with the intention to integrate with any version of other open source packages. That first step requires integrating the latest versions of all required open source projects, including not just data processing engines (e.g.,