CDInsights - Cloud Data Insights

Cloud Data Insights aims to answer key questions and offer support regarding cloud migration, data integration, infrastructure, platforms, architecture, artificial intelligence, machine learning, governance, and security. Our team of analysts and contributors keeps a close eye on the market for cloud data solutions, investigates the emerging technologies related to cloud data, examines usage examples in various industries, and engages with professionals to understand how organizations effectively manage their cloud data.

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Articles

Zero Trust at Scale with Identity-Centric Microsegmentation

3 weeks ago | clouddatainsights.com | Elizabeth Wallace

As organizations expand their networks, the complexities of managing security across a growing landscape of users, devices, and workloads are becoming more daunting. Attack surfaces are expanding rapidly, and cyber threats are evolving just as quickly. In fact, lateral movement within a network is responsible for over 70% of successful cyberattacks.
Confidential Computing and Data Security

1 month ago | clouddatainsights.com | Elizabeth Wallace

Data breaches are, unfortunately, commonplace, and the consequences are severe. Companies must secure sensitive data at almost any cost to avoid the long-term repercussions of leaks. We know this. One option, confidential computing, may help companies protect data assets in a new way. Unlike traditional security measures that primarily shield data at rest and in transit, confidential computing safeguards data during processing. This addresses a critical vulnerability in data security frameworks.
Introducing a New Open Source Security Baseline

1 month ago | clouddatainsights.com | Elizabeth Wallace

It’s surprising to no one that most companies use open source software to fuel some part of their tech stack. However, when we say “most,” we mean 95-97% by most estimates. That’s an astonishing statistic in a world where the tech options are truly vast and varied. This makes open source security a critical piece of keeping assets safe.
Cloud-Native HA and Kubernetes-driven DR

2 months ago | clouddatainsights.com | Don Boxley

Apps and databases that used to need their own hardware, tons of manual setup, and complicated failover plans can now be spun up and managed on the fly. Why? Because the cloud has changed everything!The promise? Apps that never go down, disaster recovery that just works, and the ability to scale instantly…sounds perfect, right? But here’s the thing: making true high availability (HA) and disaster recovery (DR) work in a cloud-native world takes more than just moving everything to the cloud.
Generative AI Drives Cloud Market Surge

2 months ago | clouddatainsights.com | Elizabeth Wallace

The cloud market continues to grow prolifically. According to new data from Synergy Research Group, the cloud infrastructure market witnessed a significant surge in 2024, hitting a total of $330 billion in revenue. This represents a $60 billion increase from 2023 and a substantial $102 billion rise since 2022. The launch of ChatGPT at the end of 2022 marked a turning point, with generative AI (GenAI) technologies driving half of the market’s growth over the past two years.
Securing the Future: Experts Weigh in on Container Security

2 months ago | clouddatainsights.com | Elizabeth Wallace

Containers are the preferred technology for agile and scalable deployments in the cloud-native application world. However, their rise has also increased their appeal as targets for cyberattacks. The very attributes that make containers ideal, such as their portability and dynamic nature, also introduce complex security challenges that organizations must address.
How Agentic AI is Changing Decision-Making

Mar 8, 2025 | clouddatainsights.com | Elizabeth Wallace

It may seem strange that artificial intelligence still needs human intervention because, at least in pop culture, it’s supposed to think on its own. However, up until now, AI has required significant human guidance to operate effectively. The emergence of agentic AI changes this dynamic. This new breed of AI can make decisions, take actions, and learn from its environment autonomously, pushing the boundaries of what machines can accomplish independently.
Hybrid Net Data Replication Requires Streaming

Feb 16, 2025 | clouddatainsights.com | Salvatore Salamone

Data replication in hybrid and multi-cloud environments faces several key challenges due to the increasing complexity of IT infrastructure, evolving security requirements, and growing demand for real-time data processing. Increasingly, streaming is playing a role to address these issues. For example, many organizations encounter latency and performance bottlenecks. Network latency between geographically dispersed data centers and cloud providers can impact real-time data synchronization.
Navigating Natural Disasters with Cloud ERP

Feb 1, 2025 | clouddatainsights.com | Stephen Dombroski

Manufacturers can build resilience to natural disasters with cloud ERP solutions as they progress down the road of digital transformation. Natural disasters have been increasing in frequency and becoming more severe as a result of climate change. Rising global temperatures are fueling more intense storms, wildfires, floods, and droughts, disrupting ecosystems and amplifying the impact on communities and businesses.
A Guide to Generative AI for DevOps Teams

Jan 24, 2025 | clouddatainsights.com | Derek Ashmore

There has been copious talk over the past couple of years about how DevOps teams and practitioners can benefit from generative AI. The ecosystem has been abuzz with discussions of leveraging GenAI to accelerate virtually all aspects of day-to-day DevOps work, from coding to software testing to documentation generation and beyond. A topic that has received much less attention is how DevOps team managers – as opposed to practitioners – can use generative AI.