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What is IT automation?

Dynatrace

Automating IT practices without integrated AIOps presents several challenges. While automating IT processes without integrated AIOps can create challenges, the approach to artificial intelligence itself can also introduce potential issues. Big data automation tools. Developing automation takes time.

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What is a Distributed Storage System

Scalegrid

Challenges and Considerations in Distributed Storage Deployment Although distributed storage systems offer significant advantages, they also present distinct challenges that must be addressed. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130
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What is AIOps? Everything you wanted to know

Dynatrace

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?

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Mastering Hybrid Cloud Strategy

Scalegrid

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands. Capabilities for handling diverse data management functions are necessary.

Strategy 130
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Software Testing Trends 2021 – What can we expect?

Testsigma

Presently we know it is far from easy to forecast the future – all of us have discovered this in 2020 through major ups and downs. But in expectation of the big developments in tech trials for 2021, as we had forecast of last year for 2020 , we are looking forward to renewed hope. Hyperautomation. Autonomous Test Automation.

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Ensuring Performance, Efficiency, and Scalability of Digital Transformation

Alex Podelko

Even when I took out the sessions that don’t directly cover the topics of my primary interests as well as mainframe-specific presentations, I ended up with 21 sessions in 2.5 Boris has unique expertise in that area – especially in Big Data applications. – Optimizing IT infrastructure – with specific use cases.

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QCon London: Lessons Learned From Building LinkedIn’s AI/ML Data Platform

InfoQ

He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning. By Rafal Gancarz