Amazon Web Services moves into application observability with Amazon DevOps Guru
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Amazon Web Services Inc. today made its application observability offering generally available, about six months after its launch in preview.
Amazon DevOps Guru is a machine learning-powered service that helps to detect operational issues for applications, generating reports and notifications and providing insights and recommendations for developers to remedy those problems.
The service is a fully managed offering that works by analyzing logs, metrics and events across 25 AWS resources in order to identify anomalous application behavior such as increased latency, error rates and resource constraints. The idea is to remedy these issues before they can cause outages or service disruptions, Amazon explained.
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Netflix s former vice president of IT operations was convicted of taking bribes from technology vendors in exchange for awarding them contracts with Netflix, the US Department of Justice announced Friday. The former VP s illegal scheme forced colleagues to use a variety of products, including one that suffered from severe performance problems and another that Netflix employees objected to because they preferred a different product the company was already paying for, the DOJ said.
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“Observability” might prove to be the buzzword of the year, and logging and monitoring specialist Splunk is joining other software tools developers to address the market with its latest product, Observability Cloud. The managed cloud service aims to bring together infrastructure, application performance, digital experience, and synthetic monitoring capabilities with log investigation and “smart” incident response for a holistic observability platform.
“Observability” is a broad term that has its roots in traditional engineering principles of control theory, where the measure of the internal state of a system can be observed using only its external outputs. For software specifically, it has been coopted to represent the bringing together of various raw outputs like metrics, events, logs, and traces, to allow software developers to gain a real-time picture of how their systems are performing and where issues might be occurring, at scale and witho
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Pay-to-play bungs required to do business with video-streaming giant Share
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Michael Kail, former veep of IT Operations at Netflix, was convicted on Friday on 28 counts of wire fraud, mail fraud, and money laundering after a federal jury found that he took advantage of his position to demand bribes from vendors. As Netflix’s Vice President of IT Operations, Michael Kail wielded immense power to approve valuable Netflix contracts with small tech vendors, and he rigged that process to unlock a stream of cash and stock kickbacks to himself, said Acting United States Attorney Stephanie Hinds in a statement. Netflix and other companies expect and deserve honest services from its employees.