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). How do you make a system observable?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

OCTOBER 30, 2023

Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach. In a unified strategy, logs are not limited to applications but encompass infrastructure, business events, and custom metrics.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

O'Reilly

APRIL 4, 2024

It is a dark pattern, a map to suboptimal outcomes rather than the true path to competition, innovation and the creation of robust companies and markets. In a well-functioning market, many startups would have explored a technology innovation like on-demand transportation over a much longer period. I disagree.

Artificial Intelligence 61

Artificial Intelligence Open Source Innovation Transportation 61

Dynatrace

JANUARY 19, 2022

In contrast, a modern observability platform uses artificial intelligence (AI) to gather information in real-time and automatically pinpoint root causes in context. Vulnerability assessment: Protecting applications and infrastructure – Blog. Application security and vulnerability management.

Artificial Intelligence 176

Artificial Intelligence DevOps Performance Games 176

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Testsigma

FEBRUARY 12, 2021

From AI to ML, the shifting technology world is constantly innovating and making significant progress. Machine Learning (ML) and Artificial Intelligence (AI) programme testing and QA teams will develop their automatic research techniques, keeping track with recurring updates — with the assistance of analytics and monitoring.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

O'Reilly

JANUARY 6, 2020

You don’t need to be good at math to program, but you do need math to push computing forward—particularly if you’re interested in data science or artificial intelligence. Much of the rest is wiring things together: building data pipelines, connecting the application to the serving infrastructure, providing for monitoring.

Programming 98

Programming Artificial Intelligence Education Games 98

O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Also: infrastructure and operations is trending up, while DevOps is trending down.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

O'Reilly

OCTOBER 31, 2019

We recently learned about a major breakthrough: Google says it has achieved “quantum supremacy” with a 53-qubit computer. Google performed a computation in a few minutes (3 minutes, 20 seconds to be precise ) that would have taken more than 10,000 years on the most powerful computers we currently have.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53

O'Reilly

DECEMBER 2, 2019

We’ve seen the reaction to news that Amazon’s Echo and Google Home send recordings of conversations back to the server. What if all of your documents were in Google Docs, all of your music was in your favorite streaming service? O’Reilly Artificial Intelligence Conference in San Jose , March 15-18, 2020.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

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. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) of nonusers, 5.4%

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108