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Edge Delta rakes in $63M for its distributed approach to data observability

TechCrunch

Edge Delta aims its tools at DevOps, site-reliability engineers and security teams — groups that focus on analyzing logs, metrics, events, traces and other large data troves, often in real time, to do their work. .” The round follows on from a $15 million Series A less than a year ago, in June of 2021.

Data 192
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How AI can deliver eye-opening insights for IT

CIO

No matter what your newsfeed may be, it’s likely peppered with articles about the wonders of artificial intelligence. It’s called AIOps, Artificial Intelligence for IT Operations: next-generation IT management software. What’s inside AIOps AIOps’ software engine is all about accelerating IT/DevOps. And rightly so.

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120+ live online training courses opened for January and February

O'Reilly Media - Ideas

Artificial intelligence and machine learning. Artificial Intelligence for Robotics , January 24-25. Artificial Intelligence: Real-World Applications , January 31. Systems engineering and operations. Red Hat Certified System Administrator (RHCSA) Crash Course , January 7-10.

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Technology Trends for 2024

O'Reilly Media - Ideas

C++ is also an excellent language for number crunching (Python’s numeric libraries are written in C++), which is increasingly important as artificial intelligence goes mainstream. Artificial Intelligence In AI, there’s one story and only one story, and that’s the GPT family of models.

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Trends in Cloud Jobs In 2019

ParkMyCloud

Cloud Architects are also known as Cloud Developer or Cloud Systems Administrator. An internet of things (IoT) engineer is an IT professional who is an expert in at least one or more of the core IoT disciplines: devices, connectivity, edge and cloud analytics, enterprise integration, platforms, and development and DevOps.

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AIOps and our Robot Kubernetes Kops

Linux Academy

While Machine Learning is just a subset of true Artificial Intelligence vendors of infrastructure automation have coined a new buzz acronym, AIOps. On the heals of the still wet DevOps movement we are introduced to the new era of DevOps that reaches beyond pipeline automation and into the realm of pipeline evolution.

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Data engineers vs. data scientists

O'Reilly Media - Data

On the extreme end of this applied math, they’re creating machine learning models and artificial intelligence. Though some data science technologies really require a DevOps or DataOps set up, the majority of technologies don't. Just like with most programers, I wouldn't allow them direct access to the production system.