Dynatrace

DECEMBER 2, 2020

As the new standard of monitoring, observability enables I&O, DevOps, and SRE teams alike to gain critical insights into the performance of today’s complex cloud-native environments. An AI-powered solution can rapidly establish and adjust performance baselines and automatically detect anomalies across distributed systems.

DevOps 152

DevOps Monitoring Cloud Artificial Intelligence 152

Dynatrace

JANUARY 13, 2021

This recognition follows Dynatrace’s top placement across recent G2 Grid® Reports, including AIOps Platforms , Cloud Infrastructure Monitoring , Container Monitoring , Digital Experience Monitoring , Session Replay and Application Performance Monitoring. Ranked among Built in Boston’s 2020 “Best Places to Work in Boston”.

Artificial Intelligence 138

Artificial Intelligence DevOps Analytics Innovation 138

Alex Podelko

DECEMBER 19, 2019

The CMG Impact conference (February 10-12, 2020 in Las Vegas) is coming. ITIL Version 4 Capacity and Performance Management in an Agile Container World by Chris Molloy, IBM. – System performance management is an important topic – and James is going to share a practical method for it. . a Panel Discussion. Or can you?

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code.

AWS 230

AWS Lambda Artificial Intelligence Serverless 230

Dynatrace

JANUARY 12, 2021

A 2020 Global Survey found that 56% of CIOs think their IT teams can never complete everything the business needs, and 70% agree their teams waste precious time on manual tasks that could be automated if only they had the means. Report on the health of the system by measuring performance and resources. AI-driven software intelligence.

Monitoring 194

Monitoring Artificial Intelligence DevOps Serverless 194

Testsigma

FEBRUARY 12, 2021

And is projected to rise by more than 6 percent at CAGR(Compound Annual Growth Rate) between 2020 and 2026? Presently we know it is far from easy to forecast the future – all of us have discovered this in 2020 through major ups and downs. Gartner’s 2020 projections first included the trend of hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Dynatrace

NOVEMBER 15, 2021

billion in 2020 to $4.1 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.

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Dynatrace

MARCH 16, 2021

To recognize both immediate and long-term benefits, organizations must deploy intelligent solutions that can unify management, streamline operations, and reduce overall complexity. Consider data from our recent 2020 Global CIO Report , which found that 86. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 194

Artificial Intelligence Open Source Cloud Analytics 194

Official Blog - World Web Technology

MARCH 16, 2023

However, before we delve into mobile app development costs, let’s check out some interesting mobile app development statistics: A report by Businessofapps revealed that app usage grew more than 36% from 2020 to 2022. A report from Influencermarketinghub declares that the usage of business mobile apps increased by 90% in 2020 alone.

Development 52

Development Mobile Artificial Intelligence Design 52

O'Reilly

OCTOBER 31, 2019

Quantum supremacy itself is a simple concept: it means performing a computation that could not be performed on a classical 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

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