Analytics, Artificial Intelligence, AWS and Monitoring

Artificial Intelligence in Cloud Computing

Scalegrid

JANUARY 8, 2024

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. Predictive analytics, powered by AI, enhance business processes and optimize resource allocation according to workload demands. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence

Artificial Intelligence Cloud Scalability Analytics

AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

NOVEMBER 20, 2023

At the AWS re:Invent 2023 conference, generative AI is a centerpiece. In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more.

AWS

AWS Artificial Intelligence Analytics Cloud

Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics

Analytics Monitoring Artificial Intelligence DevOps

AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

NOVEMBER 22, 2021

Digital transformation with AWS: Making it real with AIOps. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources.

AWS

AWS Lambda Artificial Intelligence Serverless

Application security fuels secure digital transformation for a global energy leader

Dynatrace

OCTOBER 17, 2023

Unified observability and security When the company’s expanding portfolio and digital-first innovation began transforming how it went to market, the energy leader made the investment to migrate legacy applications to the Amazon Web Services (AWS) cloud.

Energy

Energy Artificial Intelligence AWS Lambda

Using Dynatrace to master the 5 pillars of the AWS Well-Architected Framework (Part 1)

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Dynatrace and AWS. Fully conceptualizing capacity requirements.

AWS

AWS Artificial Intelligence Best Practices Lambda

Best Practices in Cloud Security Monitoring

Scalegrid

JANUARY 11, 2024

Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. The automatic nature also allows for quick response times in addressing any identified security concerns making it an ideal solution for effective cloud security monitoring.

Best Practices

Best Practices Cloud Monitoring Strategy

What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

OCTOBER 4, 2022

This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. Query language.

Artificial Intelligence

Artificial Intelligence Storage Analytics Government

Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

DECEMBER 13, 2016

In November 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in the United Kingdom. Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide.

AWS

AWS Cloud Artificial Intelligence IoT

Enhance data management with Grail: Ultimate guide to custom buckets and security policies

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Another example would be a business unit admin who needs to have access to departmental data across buckets.

Artificial Intelligence

Artificial Intelligence Analytics Metrics Storage

Mastering Hybrid Cloud Strategy

Scalegrid

MARCH 14, 2024

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.

Strategy

Strategy Cloud Artificial Intelligence Infrastructure

What is observability? Not just logs, metrics and traces

Dynatrace

OCTOBER 1, 2021

Although some people may think of observability as a buzzword for sophisticated application performance monitoring (APM) , there are a few key distinctions to keep in mind when comparing observability and monitoring. What is the difference between monitoring and observability? Is observability really monitoring by another name?

Metrics

Metrics Open Source Monitoring Infrastructure

What Is a Workload in Cloud Computing

Scalegrid

JANUARY 12, 2024

Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. To this vital function is workload automation which optimizes scheduling, execution, and monitoring processes for each individual task or process within cloud-based workflows.

Cloud

Cloud Virtualization Storage Efficiency

What is APM?

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring

Monitoring Mobile Social Media Artificial Intelligence

Generative AI in the Enterprise

O'Reilly

NOVEMBER 28, 2023

How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises? Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos. And unlike source code, models grow stale over time and require constant monitoring and testing.

Open Source

Open Source Artificial Intelligence Google Infrastructure

Technology Performance Pulse

Artificial Intelligence in Cloud Computing

AWS re:Invent 2023 guide: Generative AI takes a front seat

Trending Sources

Why log monitoring and log analytics matter in a hyperscale world

AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Application security fuels secure digital transformation for a global energy leader

Using Dynatrace to master the 5 pillars of the AWS Well-Architected Framework (Part 1)

Best Practices in Cloud Security Monitoring

What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

Enhance data management with Grail: Ultimate guide to custom buckets and security policies

Mastering Hybrid Cloud Strategy

What is observability? Not just logs, metrics and traces

What Is a Workload in Cloud Computing

What is APM?

Generative AI in the Enterprise

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