Dynatrace

OCTOBER 2, 2023

However, it’s common that teams need to refactor an application to help with performance after the lift-and-shift operation. Components that are already loosely coupled and have few dependencies will be easier to migrate, with less chance of impacting application performance.

Architecture 241

Architecture Artificial Intelligence Cloud Open Source 241

Dynatrace

JANUARY 26, 2021

Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week. Services tend to run on warehouse-scale computers meant more for edge applications than high-performance computing. When an application is triggered, it can cause latency as the application starts.

Serverless 245

Serverless Efficiency Lambda Azure 245

Dynatrace

NOVEMBER 15, 2021

With the help of log monitoring software, teams can collect information and trigger alerts if something happens that affects system performance and health. Log monitoring and analytics work in conjunction to ensure an application is performing as it should be, and to determine how a system could be improved. Increased collaboration.

Analytics 218

Analytics Monitoring Artificial Intelligence DevOps 218

Dynatrace

JULY 22, 2019

Use the Artificial Intelligence”, it is not a Jedi Trick. Applications will always have errors, but these errors don’t always warrant alerts as its not impacting end users and performance. If you want to understand how Dynatrace detects errors, read my other blog on how to fine-tune it ! Dynatrace news.

Best Practices 165

Best Practices Artificial Intelligence Monitoring Tuning 165

InfoQ

MAY 8, 2024

Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how can CPUs and GPUs be utilized? By Jules Damji

Tuning 89

Tuning Infrastructure Artificial Intelligence Data Engineering 89

Scalegrid

JANUARY 11, 2024

In upcoming developments, we can anticipate a greater reliance on artificial intelligence (AI) and machine learning for effective cloud security monitoring. This encompasses constant evaluation and management of different elements within the cloud infrastructure to maintain a high level of availability, as well as performance.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Adrian Cockcroft

JUNE 29, 2019

This is different to the question of whether we can figure out how to create artificial intelligence, as I don’t think intelligence is a prerequisite for consciousness, its an attribute of more sophisticated conscious systems that allows us to interact with and view the internal model more directly than observing the raw behavior of the system.

Artificial Intelligence 72

Artificial Intelligence Energy Monitoring Open Source 72

Adrian Cockcroft

JUNE 29, 2019

This is different to the question of whether we can figure out how to create artificial intelligence, as I don’t think intelligence is a prerequisite for consciousness, its an attribute of more sophisticated conscious systems that allows us to interact with and view the internal model more directly than observing the raw behavior of the system.

Artificial Intelligence 52

Artificial Intelligence Energy Monitoring Open Source 52

All Things Distributed

NOVEMBER 30, 2016

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

InfoQ

APRIL 15, 2024

At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning.

Artificial Intelligence 106

Artificial Intelligence Big Data Data Engineering Latency 106

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. The performance of any AI model degrades over time, and as far as we know, large language models are no exception.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

O'Reilly

SEPTEMBER 19, 2023

You can download these models to use out of the box, or employ minimal compute resources to fine-tune them for your particular task. After each iteration, the process compares the results to its fitness function , then mixes the attributes of the top performers.

Hardware 97

Hardware Storage Big Data Blockchain 97

O'Reilly

JULY 25, 2023

Perhaps future AI tool developers could use Swift Papers as a benchmark to assess how well their tool performs on an example real-real-world programming task. With the proper prompting and fine-tuning, I’m sure they can do much better here, and organizations like Khan Academy are already customizing GPT-4 to become a personalized tutor.

Programming 98

Programming Code Design Benchmarking 98