Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates.

Artificial Intelligence 183

Artificial Intelligence DevOps Strategy Open Source 183

Dynatrace

DECEMBER 13, 2023

This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. Composite AI combines generative AI with other types of artificial intelligence to enable more advanced reasoning and to bring precision, context, and meaning to the outputs that generative AI produces.

Technology 203

Technology Technology Artificial Intelligence Analytics 203

Dynatrace

DECEMBER 12, 2023

Artificial intelligence (AI) has revolutionized the business and IT landscape. For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development. This means greater productivity for individual teams.

Artificial Intelligence 207

Artificial Intelligence DevOps Analytics Strategy 207

Dynatrace

JANUARY 13, 2022

Takeaways from this article on DevOps practices: DevOps practices bring developers and operations teams together and enable more agile IT. Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. Dynatrace news.

DevOps 268

DevOps Speed Artificial Intelligence Innovation 268

Testsigma

FEBRUARY 18, 2020

What is Artificial Intelligence? Artificial intelligence works on the principle of human intelligence. Almost all artificial machines built to date fall under this category. Artificial General Intelligence. How does Artificial Intelligence Work?

Artificial Intelligence 52

Artificial Intelligence Healthcare Programming Logistics 52

Dynatrace

FEBRUARY 28, 2024

Through containers developed within VA Platform One (VAPO), the development team at the U.S. Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. VA Platform One (VAPO) is a comprehensive application development and delivery platform.

Monitoring 183

Monitoring Artificial Intelligence Performance Healthcare 183

Dynatrace

JANUARY 26, 2024

From FedRAMP to zero trust and artificial intelligence (AI), the group covered a range of challenges facing public sector organizations today. The executive order seeks to strike a balance: fostering innovation while mitigating potential harms. This aligns with the broader objective of responsible AI development and deployment.

Government 213

Government Artificial Intelligence Innovation Programming 213

Dynatrace

NOVEMBER 6, 2023

Dynatrace recently announced the availability of its latest core innovations for customers running the Dynatrace® platform on Microsoft Azure, including Grail. Transforming business with Azure data analytics In the evolution towards digital and cloud-native solutions, the ability to efficiently manage vast amounts of data is imperative.

Azure 180

Azure Analytics Artificial Intelligence Innovation 180

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. Adding to the complexity are containers–tools for cloud development—which can be ephemeral. Dynatrace is making the value of AI real.

AWS 229

AWS Lambda Artificial Intelligence Serverless 229

Dynatrace

FEBRUARY 10, 2022

Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage.

Artificial Intelligence 186

Artificial Intelligence Performance Innovation Speed 186

Dynatrace

JUNE 1, 2022

Vulnerability management continues to be a key concern as organizations strive to innovate more rapidly and adopt cloud-native technologies to achieve their goals. Further, software development in multicloud environments introduces multiple coding languages and third-party libraries. Dynatrace news.

Artificial Intelligence 181

Artificial Intelligence Java Strategy Cloud 181

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. AI-enabled chatbots can help service teams triage customer issues more efficiently.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

NOVEMBER 5, 2019

Application Insights – Collects performance metrics of the application code. This requires the installation of an instrumentation package into the code making it a hands-on approach to monitoring. Distributed Tracing – Distributed Tracing / Code level insights for multiple technology stacks are achieved without any code changes.

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

Dynatrace

JULY 6, 2022

IT automation is the practice of using coded instructions to carry out IT tasks without human intervention. At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Developing automation takes time.

Artificial Intelligence 189

Artificial Intelligence Tuning Strategy Big Data 189

Dynatrace

MAY 4, 2023

According to the Dynatrace 2023 CIO Report , 34% of CIOs reported that they must sacrifice security to meet the demand for faster innovation. In response to these industry shifts, more organizations are integrating security earlier in the software development lifecycle. Two factors play a role in this challenge: specificity and speed.

DevOps 213

DevOps Speed Innovation Open Source 213

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. This automatic analysis enables engineers to spend more time innovating and improving business operations.

Artificial Intelligence 187

Artificial Intelligence Innovation Servers Database 187

Dynatrace

NOVEMBER 8, 2021

The applications being observed may be developed internally, as packaged applications or as software as a service (SaaS).” Artificial intelligence for IT operations (AIOps) for applications. Gartner evaluates APM solutions according to these three functional dimensions: Digital experience monitoring (DEM).

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

O'Reilly Software

JUNE 12, 2018

As someone who has been on both sides of this table, I’d like to share some of my own security-related engineering sins and provide some practical advice for both engineers and security officers on how best to balance development goals with privacy concerns. A balance can exist between development goals and privacy and security concerns.

Artificial Intelligence 78

Artificial Intelligence Development Software Engineering Programming 78

Dynatrace

DECEMBER 16, 2019

Commonly applied to development processes, technical debt accrues overtime when we choose an inefficient path of least resistance. Even small amounts of technical debt compound as new code branches from old, further embedding the shortcomings into the system. Technical Debt—Dilbert Comic Strip on 2017-01-03.

Artificial Intelligence 149

Artificial Intelligence Traffic Efficiency Innovation 149

Testsigma

DECEMBER 20, 2019

Earlier, manual testing ruled the world of testing, however, test automation increasingly became a reality in most organizations developing software. Testing continued to evolve, and it took advantage of technology innovations. As development proceeds at a fast pace, the testing must keep pace with it. Creating test cases.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

O'Reilly

JANUARY 6, 2020

Like reading, some people learn how to code with little training, and others don’t. They’re about learning to program in a professional context—working with a web platform, a database, or even an AI platform—but not about developing those platforms or databases. We need to think about how programming is taught.

Programming 98

Programming Artificial Intelligence Education Games 98

Dynatrace

OCTOBER 14, 2021

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 213

Artificial Intelligence DevOps Innovation Metrics 213

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Developing Your Hybrid Cloud Strategy When devising a strategy for a hybrid cloud, numerous critical elements must be considered. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. This makes developing, operating, and securing modern applications and the environments they run on practically impossible without AI.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Dynatrace

NOVEMBER 24, 2020

Allowing architectures to be nimble and evolve over time, allowing organizations to take advantage of innovations as a standard practice. The ultimate goal of each of these reviews is to identify gaps, quantify risk, and develop recommendations for improving the team, processes, and architecture with each of the five pillars.

AWS 144

AWS Artificial Intelligence Best Practices Lambda 144

Dynatrace

NOVEMBER 15, 2021

Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. Accelerated innovation. An efficient, automated log monitoring and analytics solution can free teams up to focus on innovation that drives better business outcomes. What is log monitoring?

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

All Things Distributed

DECEMBER 13, 2016

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Dynatrace

OCTOBER 1, 2021

Many organizations also adopt an observability solution to help them detect and analyze the significance of events to their operations, software development life cycles, application security, and end-user experiences. Observability is also a critical capability of artificial intelligence for IT operations (AIOps).

Metrics 363

Metrics Open Source Monitoring Cloud 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. This means that a developer and a business user can access the same data to ask different questions and gain unique insights.

Best Practices 244

Best Practices Analytics Artificial Intelligence Infrastructure 244

Dynatrace

DECEMBER 2, 2020

In its report “ Innovation Insight for Observability ,” global research and advisory firm Gartner describes the advantages of observability for cloud monitoring as organizations navigate this shift. The architects and developers who create the software must design it to be observed.

DevOps 151

DevOps Monitoring Cloud Artificial Intelligence 151

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. Training models and developing complex applications on top of those models is becoming easier.

Open Source 111

Open Source Artificial Intelligence Google Infrastructure 111

Dynatrace

JUNE 4, 2021

Both undergo a long process, whether it’s coding to production or from mash to whisky, respectively. To do so, many IT teams will take advantage of what we refer to as Artificial Intelligence for IT Operations – more commonly known as AIOps.

Artificial Intelligence 142

Artificial Intelligence Metrics Monitoring Innovation 142

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. There’s plenty of security risks for business executives, sysadmins, DBAs, developers, etc., to be wary of. Figure 1 (above). Figure 3 (above).

Software Architecture 136

Software Architecture DevOps Data Engineering Architecture 136

O'Reilly

FEBRUARY 13, 2024

Having set the price of copyrighted training data to $1B or thereabouts, other model developers will need to pay similar amounts to license their training data: Google, Microsoft (for whatever independently developed models they have), Facebook, Amazon, and Apple. Or will innovation only be possible through the entrenched monopolies?

Open Source 95

Open Source Strategy Government Tuning 95

Dynatrace

JUNE 1, 2021

Application performance monitoring focuses on specific metrics and measurements; application performance management is the wider discipline of developing and managing an application performance strategy. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Application monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

All Things Distributed

MAY 21, 2018

And artificial intelligence makes it possible to break down tasks in such a way that everyone contributes what he or she can do best. People define problems and pre-structure them, and machines or algorithms develop solutions that people evaluate in the end. Examples are giving diagnoses to patients or legal advice.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

Testsigma

FEBRUARY 12, 2021

With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. Many changes are rendered through automated testing. Hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92