Source – https://www.analyticsinsight.net/ Scientists at Duke University and the Wildlife Conservation Society (WCS) have come up with an interesting set of deep learning algorithms that could analyze more than 10,000 drone images of mixed colonies of seabirds in the Falkland Islands off Argentina’s coast. The Falklands are home to the world’s largest colonies of black-browed Read More
Tag: monitoring
Source – https://searchapparchitecture.techtarget.com/ We examine how monitoring and observability help development teams keep a distributed architecture from coming unraveled by individual failures and performance bottlenecks. Failure is rarely predictable, and detecting the exact cause of complex application errors post-deployment is excruciatingly difficult. Even the most experienced development teams struggle to prepare for all the possible Read More
Source: sdtimes.com In today’s modern software world, applications and infrastructure are melding together in different ways. Nowhere is that more apparent than with microservices, delivered in containers that also hold infrastructure configuration code. That, combined with more complex application architectures (APIs, multiple data sources, multicloud distributions and more), and the ephemeral nature of software as Read More
Source: devops.com Even experienced DevOps teams can struggle with the nuances of managing microservices in production–where a greater spotlight on network communications can introduce new operational challenges beyond those common to traditional architectures. But, by being smart about your software-based routing components, it’s possible to avoid or reduce the impact of roadblocks in the following Read More
Source: devops.com Chicago – January 29, 2020 – Instana, the leading provider of automatic Application Performance Management (APM) solutions for microservice applications, today announced new capabilities for monitoring the VMware vSphere Suite, as well as applications running on vSphere infrastructure. Known for the ability to correlate infrastructure and application performance metrics and deliver actionable information Read More
Source: clickz.com The supply chain industry is facing data flooding at an accelerated rate. And this is hampering the organization’s ability to keep up with the upcoming insights and the inflows. The bottlenecks are becoming too prominent in the network. While, decision-makers are trying to seek out effective ways to manage humongous amounts of data. Read More
Source: itnews.com.au Australia Post’s adoption of microservices and cloud via a digital transformation allowed it to move faster, but also created a complex environment of interdependencies and a need to establish “observability” across that. When Post kicked off its digital transformation in 2013, the overarching goal was speed. “Our time to market was incredibly slow Read More
Source: itbrief.co.nz Enterprise AI service provider DataRobot has unveiled MLOps, a machine learning operations (MLOps) solution for deploying, monitoring, and managing machine learning models across the enterprise. MLOps combines DataRobot’s existing model management and monitoring solution with capabilities from MLOps category leader ParallelM, which DataRobot acquired in June. DataRobot’s new MLOps offering provides a centralised Read More