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What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage.

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What is a Distributed Storage System

Scalegrid

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130
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What is observability? Not just logs, metrics and traces

Dynatrace

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363
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5 data integration trends that will define the future of ETL in 2018

Abhishek Tiwari

With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. Leveraging the recent hardware advances.

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I Actually Chatted with ChatGPT

O'Reilly

I’ve been diligent about data backup throughout my life, but my files are fragmented amongst different media over the years—burning CDs and DVDs back in the day, several generations of external hard drives (that are in various states of decay), university servers, Dropbox, and other cloud services.

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Communal Computing’s Many Problems

O'Reilly

While techniques like federated learning are on the horizon, to avoid latency issues and mass data collection, it remains to be seen whether those techniques are satisfactory for companies that collect data. Until we acknowledge that hardware put in a home is different from a cloud service, we will never get it right.

Google 121