Dynatrace

JANUARY 18, 2024

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. Explainable AI is an aspect of artificial intelligence that aims to make AI more transparent and understandable, resulting in greater trust and confidence from the teams benefitting from the AI.

Artificial Intelligence 214

Artificial Intelligence Healthcare Government Technology 214

Dynatrace

JULY 6, 2022

While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. Monitoring automation is ongoing. Batch process automation.

Artificial Intelligence 191

Artificial Intelligence Tuning Strategy Big Data 191

Scalegrid

JANUARY 11, 2024

There is a wide selection of advanced solutions available for cloud monitoring, including various choices for ensuring top-notch security in your organization’s systems. In upcoming developments, we can anticipate a greater reliance on artificial intelligence (AI) and machine learning for effective cloud security monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

JULY 22, 2019

Use the Artificial Intelligence”, it is not a Jedi Trick. Self-service content management systems, for instance, allow non-IT staff to make content changes on production systems. If you want to understand how Dynatrace detects errors, read my other blog on how to fine-tune it ! Dynatrace news.

Best Practices 164

Best Practices Artificial Intelligence Monitoring Tuning 164

Adrian Cockcroft

JUNE 29, 2019

What we do to make our computer systems observable is actually closely related to consciousness. The essential quality of conciseness is a model of the system. That model is fed with information and interrogated about the overall health and behavior of the system.

Artificial Intelligence 72

Artificial Intelligence Energy Monitoring Open Source 72

Adrian Cockcroft

JUNE 29, 2019

What we do to make our computer systems observable is actually closely related to consciousness. The essential quality of conciseness is a model of the system. That model is fed with information and interrogated about the overall health and behavior of the system.

Artificial Intelligence 52

Artificial Intelligence Energy Monitoring Open Source 52

O'Reilly

NOVEMBER 14, 2023

Can an AI system be creative and, if so, what would that creativity look like? I’m skeptical about AI creativity, though recently I hypothesized that an AI system optimized for “hallucinations” might be the start of “artificial creativity.” We don’t know; a number of cases are in the legal system now. Or just derivative?

Social Media 85

Social Media Innovation Media Tuning 85

Dynatrace

OCTOBER 2, 2023

However, the distributed system of a microservices architecture comes with its own cost: increased application complexity and convoluted testing. In fact, it can be difficult to make code changes that won’t disrupt the entire system. Migration is time-consuming and involved.

Architecture 234

Architecture Artificial Intelligence Cloud Open Source 234

O'Reilly

JANUARY 16, 2024

I’ve recently been brainstorming ideas for how to design such a system and how to deal with the practical challenges of scaling and maintenance. Speech recognition errors : ChatGPT’s speech recognition system (presumably based on OpenAI’s open-source Whisper model ) is very good, but it does at times misinterpret what I’m saying.

Entertainment 73

Entertainment Internet Internet Design 73

Dynatrace

NOVEMBER 24, 2020

Tracking changes to automated processes, including auditing impacts to the system, and reverting to the previous environment states seamlessly. Easy deployment of Dynatrace OneAgent with AWS Systems Manager Distributor , AWS Elastic Beanstalk , and AWS CloudFormation. Stay tuned. Fully conceptualizing capacity requirements.

AWS 145

AWS Artificial Intelligence Best Practices Lambda 145

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. Optimized system performance. What is log monitoring? Log monitoring vs log analytics.

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. There is no need to plan for extra resources, update operating systems, or install frameworks. The provider is essentially your system administrator. What is serverless computing?

Serverless 244

Serverless Efficiency Lambda Azure 244

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. Users also need to know how to create a prompt for an AI system that will generate a useful answer.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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. Taming complexity Complex adaptive systems are hardly a new concept, though most people got a harsh introduction at the start of the Covid-19 pandemic. The mess is far from over.

Hardware 99

Hardware Storage Big Data Blockchain 99

O'Reilly

JULY 25, 2023

libraries, frameworks, build systems, permissions, API authentication keys, and other plumbing to hook things together), then the task at hand reduces to a self-contained and well-defined programming problem, which AI tools excel at. That’s because once the software environment has been set up (e.g.,

Programming 98

Programming Code Design Benchmarking 98

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 166

AWS Lambda Artificial Intelligence Mobile 166