Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures. Data management.

Artificial Intelligence 211

Artificial Intelligence Analytics Storage Government 211

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

KeyCDN

FEBRUARY 22, 2023

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

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 211

Analytics Monitoring Artificial Intelligence DevOps 211

Scalegrid

JANUARY 8, 2024

Both multi-cloud and hybrid cloud models come with their advantages, like increased flexibility and secure, scalable IT infrastructure but face challenges such as management complexity and integration issues. What is Multi-Cloud? In a multi-cloud setting, enterprises utilize multiple cloud vendors to fulfill various business functions.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

OCTOBER 1, 2021

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 is also a critical capability of artificial intelligence for IT operations (AIOps). Dynatrace news.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Scalegrid

JANUARY 11, 2024

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. Native tools, such as CloudWatch from AWS, have more extensive integrations and provide comprehensive protection for data in the cloud compared to their third-party counterparts.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

InfoQ

AUGUST 3, 2023

AWS recently announced the general availability (GA) of Amazon EC2 P5 instances powered by the latest NVIDIA H100 Tensor Core GPUs suitable for users that require high performance and scalability in AI/ML and HPC workloads. The GA is a follow-up to the earlier announcement of the development of the infrastructure.

AWS 78

AWS Availability Scalability Infrastructure 78

Dynatrace

JUNE 1, 2021

According to Gartner , “Application performance monitoring is a suite of monitoring software comprising digital experience monitoring (DEM), application discovery, tracing and diagnostics, and purpose-built artificial intelligence for IT operations.” Improved infrastructure utilization. Concrete business benefits.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Abhishek Tiwari

JULY 8, 2023

Canary AWS refers to these synthetic monitors as "canaries" (like "canary in the coal mine"). Synthetic monitoring offers end-to-end visibility across complex architectures and third-party integrations. A canary is a script that can be customized and is typically coded in JavaScript or Python.

Monitoring 52

Monitoring Testing Artificial Intelligence Traffic 52

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers. This pattern should be broken.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Testsigma

MAY 19, 2021

DevOps is not a single system, rather it is a combination of many processes – testing, deployment, production, etc – thus, it’s better termed as a ‘distributed infrastructure’. Cloud-based solutions are extremely cheap when compared to building and maintaining a DevOps infrastructure on-premise. Source: FileFlex.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

O'Reilly

DECEMBER 2, 2019

We won’t even need to worry as much about security; Google, Amazon, and Microsoft all do better backups than I ever will, are much better at surviving network disruption, and know an awful lot more about how to protect my data. We recently conducted a survey on serverless architecture adoption. That’s the real promise of 5G.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Trends in software architecture, infrastructure, and operations.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134