Dynatrace

NOVEMBER 1, 2022

Most IT incident management systems use some form of the following metrics to handle incidents efficiently and maintain uninterrupted service for optimal customer experience. It shows how efficiently your DevOps team is at quickly diagnosing a problem and implementing a fix. What are MTTD, MTTA, MTTF, and MTBF? Mean time to detect.

DevOps 207

DevOps Artificial Intelligence Metrics Network 207

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. What is Hybrid Cloud?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. “Logging” is the practice of generating and storing logs for later analysis. Benefits of log monitoring and log analytics.

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output. It’s equally important to put preventative measures in place.

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

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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. That is understandable.

Artificial Intelligence 149

Artificial Intelligence Transportation Education Airlines 149

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. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. GPU can also be considered as a special SPU.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

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

Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops ). . Sign up Now.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

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. Apart from indexes, super efficient sorting and join operations are some major areas come to my mind with immediate benefits of using learned data structure. Learned indexes.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

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 109

Open Source Artificial Intelligence Google Infrastructure 109

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 99

Hardware Storage Big Data Blockchain 99

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