Dotcom-Montior

JUNE 15, 2020

The censorship and monitoring of internet have evolved from anti-virus-like and firewall software to hardware security patches for all devices that uses internet. The firewall’s artificial intelligence (AI) technology analyzes website keywords and meta tags then whitelists or blacklists the URL or IP address.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52

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

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 AWS Logistics 79

Dynatrace

MAY 1, 2023

IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights. With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

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

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 232

Architecture Artificial Intelligence Open Source Cloud 232

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Artificial intelligence (AI), while similar to machine learning, refers to the broader idea where machines can execute tasks smartly. What Exactly is Greenplum?

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

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

Serverless 244

Serverless Efficiency Lambda Azure 244

O'Reilly

JANUARY 16, 2024

software” rather than “hardware” in our brains). My folk theory is that speaking and listening are hard-wired into our brain’s innate language circuitry, but writing and reading are learned skills (i.e.,

Entertainment 73

Entertainment Internet Internet Design 73

Scalegrid

JANUARY 8, 2024

Understanding Multi-Cloud and Hybrid Cloud Cloud computing has revolutionized the IT industry, offering a host of advantages including cost-effectiveness, increased agility, and access to cutting-edge hardware. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

Scalegrid

DECEMBER 21, 2023

Taking protective measures like these now could protect both your data and hardware from future harm down the line. Monitoring these facets closely can help guard against malicious attacks on your system by keeping track of changes in their status or new risks emerging. It’s equally important to put preventative measures in place.

Strategy 130

Strategy Monitoring Latency DevOps 130

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 107

Open Source Google Artificial Intelligence Infrastructure 107

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. As solutions have evolved to leverage artificial intelligence, the variety of use cases has extended beyond break-fix scenarios to address a wide range of technology and business concerns. Use cases for log monitoring and log analytics.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

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 Cloud 363

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 98

Hardware Storage Big Data Blockchain 98

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).

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Abhishek Tiwari

DECEMBER 27, 2017

Apache Arrow's in-memory columnar layout is specifically optimized for data locality for better performance on modern hardware like CPUs and GPUs. Data solution vendors like SnapLogic and Informatica are already developing machine learning and artificial intelligence (AI) based smart data integration assistants.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

O'Reilly

JULY 20, 2021

Until we acknowledge that hardware put in a home is different from a cloud service, we will never get it right. This is a collision between the expectations of consumers who put something in their home; those expectations run directly against the way rent-to-use services are pitched. Lots of problems, now what?

Google 121

Google Games Technology Technology 121

All Things Distributed

NOVEMBER 30, 2016

We are in the early days of machine learning and artificial intelligence. We want to enable all types of developers to build intelligence in to their applications. And, because Amazon Rekognition accepts Amazon S3 URLs, it is a huge time-saver for them to detect objects, scenes, and faces without having to move images around.

AWS 166

AWS Lambda Artificial Intelligence Mobile 166