Scalegrid

FEBRUARY 8, 2024

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. They maintain fault tolerance and redundancy by replicating this information throughout various nodes in the system.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

NOVEMBER 1, 2022

MTTD is a primary key performance indicator for IT and DevOps teams. MTTF measures the reliability of a network and durability of its hardware. The Dynatrace Software Intelligence platform monitors the full multicloud stack. They also measure overall failure statistics to determine reliability and repair efficiency over time.

DevOps 215

DevOps Artificial Intelligence Metrics Network 215

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. With the help of log monitoring software, teams can collect information and trigger alerts if something happens that affects system performance and health. Optimized system performance. Increased collaboration.

Analytics 218

Analytics Monitoring Artificial Intelligence DevOps 218

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Key Takeaways Redis® monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. In a monitoring scenario, you typically preconfigure dashboards that are meant to alert you to performance issues you expect to see later.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dotcom-Montior

JUNE 15, 2020

The limited number access points, compounded with the fact that traffic is controlled by the Ministry of Industry and Information Technology, creates performance bottlenecks for all users in China when trying to access websites from inside and outside of the country. Final Thoughts: Monitoring Performance from the Great Firewall of China.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52

ACM Sigarch

APRIL 26, 2018

Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions. TFLOPS deep learning performance, and is equipped with 32GB of high-bandwidth memory (HBM) capacity. The new GV100 packs 7.4

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

All Things Distributed

SEPTEMBER 4, 2017

In the case of artificial intelligence (AI) and machine learning (ML), this is different. The management consultants at McKinsey expect that the global market for AI-based services, software and hardware will grow annually by 15-25% and reach a volume of around USD 130 billion in 2025. Progress through machine learning.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

O'Reilly

NOVEMBER 28, 2023

That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure. These models are typically smaller (7 to 14 billion parameters) and easier to fine-tune, and they can run on very limited hardware; many can run on laptops, cell phones, or nanocomputers such as the Raspberry Pi.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

O'Reilly

SEPTEMBER 19, 2023

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). Google goes a step further in offering compute instances with its specialized TPU hardware.

Hardware 97

Hardware Storage Big Data Blockchain 97

Abhishek Tiwari

DECEMBER 27, 2017

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. Apache Arrow's in-memory columnar layout is specifically optimized for data locality for better performance on modern hardware like CPUs and GPUs.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Abhishek Tiwari

DECEMBER 13, 2017

Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community. More importantly, if this works out well, this could lead to a radical improvement in performance by leveraging hardware trends such as GPUs and TPUs. Learned indexes.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

Testsigma

MAY 19, 2021

Infrastructure as a Service is the term used for those cloud-based solutions that provide complete infrastructure to the users including all the overheads, hardware, and networking facilities. SaaS does not need you to manage hardware or other requirements such as OS and middleware. Infrastructure as a Service (IaaS). Conclusion.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

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.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

All Things Distributed

NOVEMBER 30, 2016

Amazon Rekognition democratizes the application of deep learning technique for detecting objects, scenes, concepts, and faces in your images, comparing faces between two images, and performing search functionality across millions of facial feature vectors that your business can store with Amazon Rekognition. Summing it all up.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

O'Reilly

JULY 20, 2021

It comes down to a key question: is the risk associated with an action greater than the trust we have that the person performing the action is who they say they are? Until we acknowledge that hardware put in a home is different from a cloud service, we will never get it right. The concept of Zero Trust Networks speaks to this problem.

Google 121

Google Games Technology Technology 121