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 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

APRIL 21, 2023

With constraints on IT resources, downtime shifts staff away from innovation and other strategic work. Observability-driven DevOps enables state agencies to deliver higher-quality software faster MNIT can make better, data-driven release decisions by integrating observability data into the DevOps team’s delivery pipelines.

Innovation 188

Innovation Speed Artificial Intelligence Government 188

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 184

Azure Analytics Artificial Intelligence Innovation 184

Dynatrace

FEBRUARY 21, 2024

To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. They help foster confidence and consistency throughout the entire software development lifecycle (SDLC).

Speed 212

Speed Software Software Latency 212

Dynatrace

FEBRUARY 20, 2024

Today’s organizations are drowning in data. So, it’s no surprise that data volumes have grown beyond humans’ ability to manage. But the data deluge isn’t the only problem facing enterprises, as many struggle with tool sprawl. Modern observability necessitates a holistic approach to collecting, processing, and analyzing data.

Monitoring 155

Monitoring Education Technology Technology 155

Dynatrace

JULY 13, 2023

Learn what Bernd Greifeneder, technology entrepreneur and chief innovator, has to say about ChatGPT for achieving unprecedented productivity and software innovation. Krishan and I discuss the data privacy and security concerns associated with TikTok and its parent company, Bytedance. AI’s environmental impact.

Artificial Intelligence 185

Artificial Intelligence Social Media Media Government 185

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion.

Cloud 181

Cloud Artificial Intelligence Innovation Analytics 181

Dynatrace

JUNE 11, 2019

To explore this issue, we asked participants the following question: Which of your teams have access to production monitoring data? Three quick conclusions: 1) More than 80% of the respondents claim that their Development teams have access to production monitoring data. software development, IT operations, support, and business teams).

Innovation 195

Innovation Monitoring Metrics Strategy 195

Dynatrace

NOVEMBER 2, 2022

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Observability.

Software 201

Software Software Artificial Intelligence DevOps 201

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. What are the key advantages of DBMS?

Efficiency 147

Efficiency Storage Database Scalability 147

The Netflix TechBlog

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. With higher demand for innovation, IT teams are working diligently to release high-quality software faster.

Engineering 249

Engineering DevOps Innovation Storage 249

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

MARCH 28, 2024

Lest readers believe that business digital transformation has fallen out of fashion, recent data suggests that digital transformation initiatives are still high on the agenda for today’s leaders. DevOps can also reduce human error throughout the software deployment process.

C++ 190

C++ Artificial Intelligence DevOps Innovation 190

Dynatrace

MAY 2, 2024

With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 144

Artificial Intelligence Cloud Best Practices DevOps 144

DZone

DECEMBER 28, 2020

The introduction of innovative technologies has brought the newest updates in software testing, development, design, and delivery. Nowadays, Big Data tests mainly include data testing, paving the way for the Internet of Things to become the center point. Besides, AI and ML seem to reach a new level.

Software 186

Software Software Testing Big Data 186

Dynatrace

OCTOBER 24, 2022

Earlier this year, Dynatrace announced its involvement in the open source feature flagging project OpenFeature that enables fast-paced, high-quality software development. Organizations need to release software at a high velocity to stay competitive as the pace of business accelerates, but they can’t sacrifice software quality for speed.

Software 179

Software Software Open Source Cloud 179

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. Data indicates these technology trends have taken hold. In 2024, more organizations will experience major digital service outages due to poor-quality and insufficiently supervised software code.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

Dynatrace

SEPTEMBER 5, 2023

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. Organizations face cloud complexity, data explosion, and a pronounced lack of ability to manage their cloud environments effectively. Then we can achieve this objective of delivering software that works perfectly.”

Cloud 227

Cloud Artificial Intelligence Innovation Azure 227

Dynatrace

FEBRUARY 15, 2023

Exploratory analytics is an essential capability for organizations to discover the stories hiding in their data. Visual data analytics with collaborative input from IT, development, security, and business teams makes those stories reveal themselves and helps teams immediately understand—and act on—their business impact.

Analytics 130

Analytics Government Media C++ 130

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. We’ll post news here as it happens!

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

OCTOBER 23, 2023

Safeguarding against vulnerabilities, data breaches, and emerging threats while meeting regulatory compliance, legal requirements, and customer expectations borders on the impossible without a holistic approach. The goal of security by design is to minimize vulnerabilities and security risks from the outset before teams release software.

Design 222

Design Innovation DevOps Open Source 222

Official Blog - World Web Technology

NOVEMBER 22, 2023

Businesses depend mainly on software solutions to optimize operations, improve customer experiences, and drive development in today’s quickly expanding technology world. As an Indian law student, you may wonder how top software development companies in the United States play an essential part in the global IT economy.

Software 59

Software Software Development Innovation 59

The Netflix TechBlog

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. For example?—?clinical

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

Dynatrace

JULY 23, 2020

Dynatrace, as the leading software intelligence platform ( Gartner Magic Quadrant ), has been known for many years for its unique auto-adaptive, multidimensional baselining in the APM space. When updating the reference value, the data of the last seven days is evaluated.

Metrics 215

Metrics Innovation Strategy Monitoring 215

Dynatrace

OCTOBER 10, 2023

This improves the current project and paves the way for future innovation. SREs invest significant effort in enhancing software reliability, scalability, and dependability. Consequently, organizations grapple with various issues that impact software reliability. It also returns valuable time back to the SRE team.

Engineering 231

Engineering DevOps Innovation Strategy 231

Dynatrace

JUNE 16, 2020

Unlike other solutions that attempt to connect disparate tools to stitch together a business transaction, the Dynatrace software intelligence platform provides end-to-end transaction visibility by automatically discovering and mapping each transaction with our AI-powered solution.

Innovation 152

Innovation Metrics Infrastructure Programming 152

Dynatrace

FEBRUARY 2, 2022

In September, we announced the availability of the Dynatrace Software Intelligence Platform on Microsoft Azure as a SaaS solution and natively in the Azure portal. This enables organizations to tame cloud complexity, minimize risk, and reduce manual effort so teams can focus on driving innovation. Dynatrace news.

Azure 322

Azure Availability Hardware Innovation 322

Dynatrace

MARCH 20, 2024

Cloud applications are built with the help of a software supply chain, such as OSS libraries and third-party software. According to recent research , 68% of CISOs say vulnerability management has become more difficult due to increased software supply chain and cloud complexity.

Monitoring 217

Monitoring Analytics Traffic Best Practices 217

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. We start with data types—logs, metrics, traces, routes.

Artificial Intelligence 199

Artificial Intelligence Analytics Cloud Innovation 199

Dynatrace

SEPTEMBER 18, 2023

Dynatrace exists to make software work perfectly. The  The platform unifies full-stack observability, business, and security data with continually updated topological and dependency mapping to retain data context. Stay tuned for more updates.

Government 192

Government Tuning Programming Innovation 192

Dynatrace

MARCH 1, 2023

As digital transformation accelerates, organizations turn to hybrid and multicloud architectures to innovate, grow, and reduce costs. As a result, organizations are adopting cloud observability technologies to gain visibility into their IT environments and the associated application performance and software vulnerability issues.

Strategy 217

Strategy Cloud Software Software 217

Dynatrace

DECEMBER 18, 2023

This slow feedback and time spent rerunning tests can hinder the overall software deployment process. This proactive strategy significantly minimizes wait times and empowers SREs to redirect their focus toward innovative endeavors. The steps outlined below show you how to achieve such a proactive solution.

Testing 256

Testing Best Practices Performance Testing Engineering 256

Dynatrace

APRIL 8, 2024

Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. The Dynatrace platform allows security teams to automate continuous discovery, proactively detect anomalies, and optimize across the software lifecycle.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Dynatrace

AUGUST 23, 2023

Understanding generative AI and how to use it can unlock boundless innovation. Tracy Bannon , Senior Principal/Software Architect and DevOps Advisor at MITRE , is passionate about DevSecOps and the potential impact of artificial intelligence (AI) on software development. However, AI is a relatively new technology.

Artificial Intelligence 175

Artificial Intelligence Innovation Tuning DevOps 175

Dynatrace

JANUARY 13, 2022

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. They need automated DevOps practices.

DevOps 272

DevOps Speed Artificial Intelligence Innovation 272

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data.

Cloud 192

Cloud DevOps Open Source Retail 192