Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Data indicates these technology trends have taken hold.

Technology 196

Technology Technology Artificial Intelligence Analytics 196

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

OCTOBER 17, 2023

Artificial intelligence (AI) and IT automation are rapidly changing the landscape of IT operations. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. 5) in the Gartner report. 5) in the Gartner report.

Monitoring 218

Monitoring Artificial Intelligence Performance Analytics 218

Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. Causal AI use cases can complement other types of AI.

Artificial Intelligence 200

Artificial Intelligence Healthcare Retail Government 200

Dynatrace

APRIL 18, 2024

This real-time awareness enables teams to rapidly detect and resolve issues: both indispensable capabilities for maintaining the agility and reliability that are central to DevOps and platform engineering processes. Automated rollbacks or rollouts based on observability data also become a reality with AI.

DevOps 183

DevOps Engineering Artificial Intelligence Infrastructure 183

Dynatrace

FEBRUARY 1, 2024

Expanding hypermodal AI for all use cases with Davis CoPilot™ The Dynatrace composite approach to AI, known as hypermodal AI , enables organizations to extract the maximum ROI from their data efficiently and cost-effectively. In response, CoPilot delivers the data showing the variety of statements executed over the given timeframe.

Artificial Intelligence 179

Artificial Intelligence Analytics Efficiency Database 179

Dynatrace

JANUARY 5, 2023

These are precisely the business goals of AIOps: an IT approach that applies artificial intelligence (AI) to IT operations, bringing process efficiencies. According to Dynatrace data, 71% of CIOs say the explosion of data produced by cloud-native technology stacks is beyond human ability to manage. What is AIOps?

Artificial Intelligence 147

Artificial Intelligence Innovation Technology Technology 147

Dynatrace

FEBRUARY 16, 2023

But the cloud also produces an explosion of data. And with that data comes the thorn to the cloud’s rose: increased complexity. The cloud is delivering an explosion of data and an incredible increase in its complexity. You have to get automation and analytical capabilities.”

Artificial Intelligence 186

Artificial Intelligence Analytics Cloud Innovation 186

Dynatrace

NOVEMBER 5, 2023

Exploring AI transformation at the verge of sustainability and edge computing On the verge of a data-driven digital transformation 2.0 , CIOs are under greater pressure to deliver real-world business value from transformation initiatives. Continue reading to learn why this is important and what it means for Azure customers.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Dynatrace

MAY 17, 2023

At Perform, our annual user conference, in February 2023, we demonstrated how people can use natural or human language to query our data lakehouse. Achieving this precision requires another type of artificial intelligence: causal AI. This is one example of the many use cases we’re exploring.

Innovation 252

Innovation Software Software Artificial Intelligence 252

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. Organizations are also increasingly integrating application security into their DevOps teams and processes — also known as DevSecOps.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. 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.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. The range of use cases for automating IT is as broad as IT itself.

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

Dynatrace

SEPTEMBER 8, 2023

In part 2, we’ll show you how to retrieve business data from a database, analyze that data using dashboards and ad hoc queries, and then use a Davis analyzer to predict metric behavior and detect behavioral anomalies. Dynatrace users typically use extensions to pull technical monitoring data, such as device metrics, into Dynatrace.

Database 263

Database Artificial Intelligence Metrics Monitoring 263

Dynatrace

MARCH 22, 2023

As a result, web app attacks are the fastest-growing attack vector according to a recent data breach investigations report. Cryptographic failures Cryptographic failures are when data is transmitted in plain text, uses outdated or insecure cryptographic algorithms, or is protected by default or weak cryptographic keys.

Open Source 190

Open Source Artificial Intelligence Internet Internet 190

DZone

JUNE 4, 2019

NVMe storage's strong performance, combined with the capacity and data availability benefits of shared NVMe storage over local SSD, makes it a strong solution for AI/ML infrastructures of any size. There are several AI/ML focused use cases to highlight.

Storage 100

Storage FinTech Artificial Intelligence Performance 100

Dynatrace

MAY 27, 2022

As a result, many IT teams are turning to artificial intelligence for IT operations (AIOps) , which integrates AI into operations to automate systems across the development lifecycle. An AIOps stack featuring Dynatrace, ServiceNow, and Ansible automates and shortens that process for Lockheed Martin, Walker and Swofford explain.

Artificial Intelligence 180

Artificial Intelligence Innovation Servers Database 180

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions.

Artificial Intelligence 226

Artificial Intelligence Monitoring Infrastructure Cloud 226

Dynatrace

NOVEMBER 5, 2019

Dependency agent Installation – Maps connections between servers and processes. AI engine, Davis – Automatically processes billions of dependencies to serve up precise answers; rather than processing simple time-series data, Davis uses high-fidelity metrics, traces, logs, and real user data that are mapped to a unified entity.

Azure 135

Azure Artificial Intelligence Metrics Innovation 135

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. Get ready for actionable insights that balance technical depth with practical advice.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

DECEMBER 16, 2022

Leading independent research and advisory firm Forrester has named Dynatrace a Leader in The Forrester Wave™: Artificial Intelligence for IT Operations (AIOps), Q4 2022 report. It displays all topological dependencies between services, processes, hosts, and data centers. Grail, the causational data lakehouse.

Artificial Intelligence 222

Artificial Intelligence Strategy Infrastructure Monitoring 222

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 181

Analytics Artificial Intelligence Big Data Open Source 181

All Things Distributed

DECEMBER 20, 2017

How companies can use ideas from mass production to create business with data. Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Strategically, IT doesn't matter. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Dynatrace

FEBRUARY 12, 2024

However, these environments can drown enterprises in data, forcing them to adopt multiple tools and services to manage and secure it. With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation.

Analytics 175

Analytics Artificial Intelligence Engineering Storage 175

Dynatrace

NOVEMBER 20, 2020

We are excited to announce that Dynatrace has been named a Leader in the Forrester Wave™: Artificial Intelligence for IT Operations (AIOps), 2020 report. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics. Dynatrace news. Transforming the way people work.

Artificial Intelligence 242

Artificial Intelligence Serverless Analytics Innovation 242

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality.

AWS 203

AWS Artificial Intelligence Analytics Cloud 203

Dynatrace

JULY 22, 2019

Use the Artificial Intelligence”, it is not a Jedi Trick. They gather information infrastructure data such as CPU, memory and log files. Dynatrace automatically detects processes and services and will observe their behaviour. Dynatrace news. Old School monitoring. The change was applied after the vertical yellow line.

Best Practices 162

Best Practices Artificial Intelligence Monitoring Tuning 162

All Things Distributed

APRIL 3, 2015

Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. ML is used for predictive analytics and predictive modeling, e.g. making predictions about the likelihood that a certain event is going to happen (will this customer be interested in this item, is this message spam).

Artificial Intelligence 145

Artificial Intelligence Games Programming Analytics 145

Dynatrace

JANUARY 6, 2020

Without consistency in the data, the system needs to look harder for possible causes. As the data pool becomes larger, more dynamic, and less homogeneous, these spurious correlations are more likely to occur. The accuracy of the machine learning system’s answers will be artificially inflated. The result?

Artificial Intelligence 143

Artificial Intelligence Efficiency Analytics Innovation 143

Testsigma

DECEMBER 20, 2019

Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. Regression tests Test data creation GUI interactions Logging defects. Artificial Intelligence (AI): A brief introduction. But, can AI-driven test automation significantly enhance test automation?

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 236

Best Practices Analytics Artificial Intelligence Infrastructure 236

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

Artificial Intelligence 261

Artificial Intelligence Analytics Storage Architecture 261

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Tables are a physical data model, essentially the type of observability data that you can store.

Artificial Intelligence 255

Artificial Intelligence Analytics Metrics Storage 255

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. What is log analytics? Log monitoring vs log analytics.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 227

Analytics Artificial Intelligence Storage Serverless 227

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? How does a data lakehouse work?

Artificial Intelligence 201

Artificial Intelligence Analytics Storage Government 201