-
-
-
-
URL copied!
A distributed cloud is an influential infrastructure that companies can use from multiple locations, allowing easy accessibility. Although, not understanding how to properly manage a distributed cloud can have considerable adverse effects on a company. Additionally, it’s crucial to understand the difference between logging and monitoring as they are practices used to control a distributed cloud.
Several challenges can arise when monitoring a distributed cloud, such as inconsistencies with different log formats, connectivity, and security. However, numerous tools exist that can help alleviate these issues, such as Microsoft Azure and Google Cloud. Learn about the best practices and tools to manage a distributed cloud.
Authors
Top Insights
Best practices for selecting a software engineering partner
SecurityDigital TransformationDevOpsCloudMedia
My Intro to the Amazing Partnership Between the...
Experience DesignPerspectiveCommunicationsMediaTechnology
Adaptive and Intuitive Design: Disrupting Sports Broadcasting
Experience DesignSecurityMobilityDigital TransformationCloudBig Data & AnalyticsMediaTop Authors
Consultant
Senior Manager
Consultant
Chief Technology Officer, AI
CTO
Let’s Work Together
Related Content
Accelerating Digital Transformation with Structured AI Outputs
Enterprises increasingly rely on large language models (LLMs) to derive insights, automate processes, and improve decision-making. However, there are two significant challenges to the use of LLMs: transforming structured and semi-structured data into suitable formats for LLM prompts and converting LLM outputs back into forms that integrate with enterprise systems. OpenAI's recent introduction of structured … Continue reading Distributed Cloud Monitoring →
Learn More
If You Build Products, You Should Be Using Digital Twins
Digital twin technology is one of the fastest growing concepts of Industry 4.0. In the simplest terms, a digital twin is a virtual replica of a real-world object that is run in a simulation environment to test its performance and efficacy
Learn More
Accelerating Enterprise Value with AI
As many organizations are continuing to navigate the chasm between AI/GenAI pilots and enterprise deployment, Hitachi is already making significant strides. In this article, GlobaLogic discusses the importance of grounding any AI/GenAI initiative in three core principles: 1) thoughtful consideration of enterprise objectives and desired outcomes; 2) the selection and/or development of AI systems that are purpose-built for an organization’s industry, its existing technology, and its data; and 3) an intrinsic commitment to responsible AI. The article will explain how Hitachi is addressing those principles with the Hitachi GenAI Platform-of-Platforms. GlobalLogic has architected this enterprise-grade solution to enable responsible, reliable, and reusable AI that unlocks a high level of operational and technical agility. It's a modular solution that GlobalLogic can use to rapidly build solutions for enterprises across industries as they use AI/GenAI to pursue new revenue streams, greater operational efficiency, and higher workforce productivity.
Learn More
Unlock the Power of the Intelligent Healthcare Ecosystem
Welcome to the future of healthcare The healthcare industry is on the cusp of a revolutionary transformation. As we move beyond digital connectivity and data integration, the next decade will be defined by the emergence of the Intelligent Healthcare Ecosystem. This is more than a technological shift—it's a fundamental change in how we deliver, experience, … Continue reading Distributed Cloud Monitoring →
Learn More
Share this page:
-
-
-
-
URL copied!