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. What is the difference between monitoring and observability? Is observability really monitoring by another name? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

APRIL 26, 2022

To combat Kubernetes complexity and capitalize on the full benefits of the open-source container orchestration platform, organizations need advanced AIOps that can intelligently manage the environment. Dynatrace’s cloud-native observability is essential to monitor and manage these performance issues as they occur.

Cloud 233

Cloud Artificial Intelligence DevOps Scalability 233

Dynatrace

OCTOBER 4, 2022

Existing observability and monitoring solutions have built-in limitations when it comes to storing, retaining, querying, and analyzing massive amounts of data. This decoupling ensures the openness of data and storage formats, while also preserving data in context.

Artificial Intelligence 275

Artificial Intelligence Analytics Storage Architecture 275

Dynatrace

JULY 5, 2022

Artificial intelligence for IT operations (AIOps) uses machine learning and AI to help teams manage the increasing size and complexity of IT environments through automation. Once products and services are live, IT teams must continuously monitor and manage them. Therefore, many organizations are evaluating the benefits of AIOps.

Artificial Intelligence 294

Artificial Intelligence Cloud Innovation Strategy 294

Dynatrace

NOVEMBER 22, 2021

Having recently achieved AWS Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category for its use of the AWS platform, Dynatrace has demonstrated success building AI-powered solutions on AWS. But teams need automatic and intelligent observability to realize true AIOps value at scale.

AWS 235

AWS Lambda Artificial Intelligence Serverless 235

Dynatrace

JANUARY 19, 2022

Teams can no longer effectively manage and secure today’s multicloud environments using traditional monitoring tools. While conventional monitoring scans the environment using correlation and statistics, it provides little contextual information for remediating performance or security issues. Modern observability vs. monitoring.

Artificial Intelligence 188

Artificial Intelligence DevOps Performance Games 188

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. To tame this complexity, organizations now use an average of 10 different monitoring tools. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 200

Artificial Intelligence Open Source Cloud Analytics 200

Dynatrace

DECEMBER 22, 2021

Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope. Unfortunately, they often don’t communicate with each other or offer a single source of truth. Observability platform vs observability tools: What’s the difference?

Artificial Intelligence 186

Artificial Intelligence Metrics Architecture DevOps 186

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

MAY 4, 2023

During a Perform 2023 conference session, Christian Schwarzbauer, fellow product architect at Dynatrace, and Gerhard Byrne, senior product manager at Dynatrace, explored the role of intelligent automation in DevSecOps and three ways teams can converge automation and security and avoid DevSecOps silos.

DevOps 222

DevOps Speed Innovation Open Source 222

Adrian Cockcroft

JUNE 29, 2019

The model isn’t really in charge of us in the sense that we feel it is, it’s monitoring and making sense of what is happening around it, after the event. Artificial general intelligence and “common sense” require a very sophisticated model of much of the world so that we can interact with the AGI as if it was a human.

Artificial Intelligence 72

Artificial Intelligence Energy Monitoring Open Source 72

Tech News Gather

JULY 18, 2023

For instance, monitoring the health conditions of the patients and access medical records have become easier for patients and healthcare service providers. These mobile and web apps assist users to monitor their health conditions byaccessing medical information, communicating with healthcare providers, and managing their medicines.

Healthcare 52

Healthcare Social Media Development Artificial Intelligence 52

Adrian Cockcroft

JUNE 29, 2019

The model isn’t really in charge of us in the sense that we feel it is, it’s monitoring and making sense of what is happening around it, after the event. Artificial general intelligence and “common sense” require a very sophisticated model of much of the world so that we can interact with the AGI as if it was a human.

Artificial Intelligence 52

Artificial Intelligence Energy Monitoring Open Source 52

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). Open source models are a large and diverse group.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106