Dynatrace

NOVEMBER 6, 2023

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Observability is about answering.”

Development 264

Development DevOps Programming Cloud 264

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 185

Innovation Speed Artificial Intelligence Government 185

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 209

Speed Software Software Latency 209

Dynatrace

JUNE 2, 2022

By applying software engineering principles to operations and infrastructure practices, SRE enables organizations to streamline and automate IT processes. SRE is becoming an essential discipline in organizations that use DevOps (the combination of development and operations) and agile methodologies. Dynatrace news.

DevOps 147

DevOps Innovation Engineering Benchmarking 147

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 247

Engineering DevOps Innovation Storage 247

Dynatrace

NOVEMBER 29, 2022

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Infrastructure-as-code. But how does it work in practice? Transparency and scalability.

Infrastructure 174

Infrastructure Code Cloud DevOps 174

Dynatrace

MARCH 28, 2024

While generative AI has received much of the attention since 2022 for enabling innovation and efficiency, various forms of AI—generative, causal **, and predictive AI —will work together to automate processes, introduce innovation, and other activities in service of digital transformation.

C++ 187

C++ Artificial Intelligence DevOps Innovation 187

Dynatrace

MAY 2, 2024

Moreover, in addition to managing cloud spend and resource utilization, organizations must also now consider the cost and carbon impact of developing and using generative AI models. However, security remains a concern despite benefits such as faster development and improved productivity. What is generative AI?

Artificial Intelligence 214

Artificial Intelligence Cloud Best Practices DevOps 214

Dynatrace

MARCH 26, 2024

Since taking on the role of Chief People Office at Dynatrace in the summer of 2022, my key focus has been developing and continually evolving an outstanding, globally cohesive employee experience to support and strengthen our growing organization. The profound curiosity, inspiration, and desire to drive positive change fuel our passion.

Innovation 248

Innovation Tuning Strategy Software 248

Dynatrace

SEPTEMBER 21, 2023

At its core, DevOps is a collaborative framework between development and operations teams whose goal is to streamline software development. Platform engineering supports this goal by providing developers with the environments, or platforms, they need to build and run applications. Safdar said.

Games 238

Games Engineering DevOps Education 238

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. Agile companies that adopt continuous software delivery have increasingly enlisted feature flagging to enable more frequent code releases.

Software 177

Software Software Open Source Cloud 177

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. 2: AI-generated code will create the need for digital immune systems. No one will be around who fully understands the code. Data indicates these technology trends have taken hold.

Technology 205

Technology Technology Artificial Intelligence Analytics 205

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 270

DevOps Speed Artificial Intelligence Innovation 270

DZone

AUGUST 22, 2023

Just-In-Time is a dynamic compilation technique that allows software programs to be compiled at runtime, optimizing performance and reducing startup times. It has enabled developers to write code that is both highly efficient and flexible, thanks to this innovative approach. How Does JIT Compilation Work?

Programming 187

Programming Innovation Efficiency Code 187

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 229

Engineering DevOps Innovation Strategy 229

Dynatrace

MAY 4, 2023

Many organizations are adopting a DevSecOps approach to software delivery with the goal of accelerating release validation and ensuring frictionless, secure software delivery. Moreover, the demand for rapid software delivery is putting additional stress on DevOps teams.

DevOps 215

DevOps Speed Innovation Open Source 215

Dynatrace

SEPTEMBER 5, 2023

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. Ultimately, cloud observability helps organizations to develop and run “software that works perfectly,” said Dynatrace CEO Rick McConnell during a keynote at the company’s Innovate conference in Săo Paulo in late August.

Cloud 224

Cloud Artificial Intelligence Innovation Azure 224

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 173

Artificial Intelligence Innovation Tuning DevOps 173

Dynatrace

JUNE 13, 2022

They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. But with this speed, agility, and innovation come new challenges. Security teams need their vulnerability management approach to be seamless.

Open Source 224

Open Source DevOps Java Innovation 224

Dynatrace

NOVEMBER 17, 2023

In the first blog post of this series , we explored how the Dynatrace ® observability and security platform boosts the reliability of Site Reliability Engineers (SRE) CI/CD pipelines and enhances their ability to focus on innovation. This waiting and problem-solving can hinder your overall software development process.

Innovation 225

Innovation Architecture Code Processing 225

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. As organizations develop new applications, vulnerabilities will continue to emerge.

Cloud 189

Cloud DevOps Open Source Retail 189

Dynatrace

FEBRUARY 10, 2023

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. For example, development teams can use automation to increase efficiency in the software development lifecycle.

Efficiency 278

Efficiency Performance Analytics DevOps 278

Dynatrace

DECEMBER 18, 2023

T he testing stage plays a crucial role in ensuring the quality of newly built code through the execution of automated test cases. Testing includes integration tests, which assess whether the code functions as intended when interacting with other services and application functionalities.

Testing 253

Testing Best Practices Performance Testing Engineering 253

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 214

Monitoring Analytics Traffic Best Practices 214

Dynatrace

SEPTEMBER 22, 2022

Staying ahead of customer needs requires speed and agility from all phases of the software development life cycle (SDLC). DevOps automation can help to drive reliability across the SDLC and accelerate time-to-market for software applications and new releases.

DevOps 190

DevOps Innovation Speed Monitoring 190

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 182

Azure Analytics Artificial Intelligence Innovation 182

Dynatrace

NOVEMBER 2, 2023

Digital transformation has significantly increased the organizational demand to innovate faster. But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. Automation is a crucial aspect of achieving DevOps excellence.

DevOps 207

DevOps Benchmarking Azure Innovation 207

Dynatrace

MAY 23, 2022

As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities. Above all, companies modernize and adopt a multicloud strategy to innovate, scale, and increase efficiency. At RSA 2022 , the theme is Transform. Automation for application security.

Strategy 227

Strategy Innovation Cloud Serverless 227

Dynatrace

JUNE 11, 2019

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). This is good news. The case against silos. If so, how are they using it?”.

Innovation 194

Innovation Monitoring Metrics Strategy 194

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications. How can organizations use AI observability to optimize AI costs?

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

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 215

Strategy Cloud Software Software 215

Dynatrace

JANUARY 21, 2022

Key takeaways from this article on vulnerability management for cloud application security: Today’s cloud apps with their fast innovation cycles and frequent use of open-source libraries must address a gap for runtime vulnerability management in production environments. How vulnerability management at runtime changes the game.

Strategy 224

Strategy Cloud Open Source DevOps 224

Dynatrace

APRIL 25, 2023

Innovating with software is happening faster than ever. The traditional practice of scanning for vulnerabilities before production is insufficient because vulnerabilities can emerge at any point in the software supply chain. Agencies cannot afford to sacrifice security for innovation.

Government 216

Government Innovation Open Source Traffic 216

Dynatrace

FEBRUARY 15, 2022

Every year at our annual user conference, Dynatrace Perform , we recognize the most inspiring success stories from our most innovative, transformative customers and partners. DevOps: companies who shorten innovation cycles, automate their CI/CD pipelines , and improve code quality for production. These are individual awards.

Performance 212

Performance Innovation DevOps Software 212

Dynatrace

OCTOBER 20, 2020

Under intense pressure to transform in response to digitization trends and rising consumer expectations, Porsche Informatik needed a way to push its leading edge – to innovate faster, drastically reduce their time to market, and enhance the overall user experience. That’s where Red Hat OpenShift came into play.

Automotive 155

Automotive DevOps Software Software 155

Dynatrace

AUGUST 7, 2023

Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. But as the Black Hat 2023 agenda indicates, generative AI also introduces new security risks.

DevOps 187

DevOps Analytics Best Practices Java 187

Dynatrace

OCTOBER 19, 2023

Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities. Implementing vulnerability management in your application security process aids in vulnerability detection and prevention before they can enter production code.

Best Practices 211

Best Practices Benchmarking Speed Infrastructure 211