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. What is DevOps automation?

DevOps 193

DevOps Innovation Speed Monitoring 193

Dynatrace

JUNE 6, 2023

Just as organizations have increasingly shifted from on-premises environments to those in the cloud, development and operations teams now work together in a DevOps framework rather than in silos. But as digital transformation persists, new inefficiencies are emerging and changing the future of DevOps.

DevOps 165

DevOps Engineering Innovation Best Practices 165

DZone

SEPTEMBER 14, 2023

The word DevOps comes from the term development and operations. The development and operations team had their separate functions and objectives. As both teams worked separately, it led to long development hours, smaller batch releases, and unhappy customers.

DevOps 208

DevOps Speed Processing Development 208

Dynatrace

DECEMBER 5, 2022

Organizations are increasingly adopting DevOps to stay competitive, innovate faster, and meet customer needs. By helping teams release new software more frequently, DevOps practices are an essential component of digital transformation. Thankfully, DevOps orchestration has evolved to address these problems. What is orchestration?

DevOps 215

DevOps Virtualization Innovation Best Practices 215

Dynatrace

MARCH 9, 2023

As organizations mature on their digital transformation journey, they begin to realize that automation – specifically, DevOps automation – is critical for rapid software delivery and reliable applications. “In fact, this is one of the major things that [hold] people back from really adopting DevOps principles.”

DevOps 237

DevOps Infrastructure Software Software 237

Dynatrace

DECEMBER 6, 2022

DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. We refer to this culture and practice as observability-driven DevOps and SRE automation. The role of observability within DevOps. The results of observability-driven DevOps speak for themselves.

DevOps 223

DevOps Metrics Engineering Speed 223

Dynatrace

MARCH 17, 2021

Hops and DevOps; an unlikely pairing, but one that turns out to go very well together! Dynatrace hosted another tasting event for our community, which included some craft beers from a local brewery and the very hot topic of DevOps – one that has been omnipotent in the IT industry almost since its inception in 2009. Dynatrace news.

DevOps 195

DevOps Media Metrics Technology 195

Dynatrace

FEBRUARY 21, 2024

They help foster confidence and consistency throughout the entire software development lifecycle (SDLC). This approach supports innovation, ambitious SLOs, DevOps scalability, and competitiveness. In the context of Easytravel, one can measure the speed at which a specific page of the application responds after a user clicks on it.

Speed 212

Speed Software Software Latency 212

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 267

Development DevOps Programming Cloud 267

Dynatrace

MARCH 22, 2021

Yet as software environments become more complex, there are more ways than ever for malicious actors to exploit vulnerabilities, even in the application development and delivery pipeline. One reason for this failure is traditional application security tools slow developers down. Security happens during, not after development.

DevOps 158

DevOps Speed Infrastructure Best Practices 158

Dynatrace

APRIL 18, 2022

When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. Developers want to write high-quality code and deploy it quickly. Dynatrace developed and released Keptn to open source in 2020. Dynatrace news.

Open Source 192

Open Source DevOps Cloud Metrics 192

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 201

DevOps Testing Monitoring Speed 201

Dynatrace

MAY 27, 2021

Combining Dynatrace’s automated and intelligent observability and DevOps orchestration with JFrog’s CI/CD helps teams deliver better software faster. I am excited to announce a new integration with leading DevOps innovator, JFrog, to help organizations meet this demand.

DevOps 233

DevOps Innovation Speed Cloud 233

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 207

DevOps Testing Monitoring Speed 207

Dynatrace

APRIL 21, 2023

Kailey Smith, application architect on the DevOps team for Minnesota IT Services (MNIT), discussed her experience with an outage that left her and her peers to play defense and fight fires. This means that our development teams are spending less time fixing defects and more time writing new code.

Innovation 188

Innovation Speed Artificial Intelligence Government 188

Dynatrace

FEBRUARY 24, 2021

Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. But with that speed and agility comes new complications and complexity, all while maintaining performance and reliability with less than 1% down-time per year. So which is it: SRE vs DevOps, or SRE and DevOps?

DevOps 191

DevOps Software Engineering Speed Google 191

Dynatrace

APRIL 30, 2021

Many organizations that have integrated their software development and operations into DevOps practices struggle with efficiency because they’re juggling disparate DevOps tools, or their tools aren’t meeting their needs. The status quo of the DevOps toolchain.

DevOps 218

DevOps Speed Efficiency Engineering 218

Dynatrace

APRIL 29, 2021

To compete, organizations have to achieve both speed and reliability when bringing new products and services to market. To meet this demand, organizations are adopting DevOps practices , such as continuous integration and continuous delivery, and the related practice of continuous deployment, referred to collectively as CI/CD.

DevOps 274

DevOps Logistics Code Software 274

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Real-time detection for fast remediation.

Engineering 187

Engineering Development Infrastructure Cloud 187

Dynatrace

NOVEMBER 18, 2020

DevOps seeks to accomplish smooth and efficient software creation, delivery, monitoring, and improvement by prioritizing agility and adaptability over rigid, stage-by-stage development. How do organizations implement this approach to software development, and what capabilities do they need to make this shift a success?

DevOps 209

DevOps Infrastructure Open Source C++ 209

Dynatrace

SEPTEMBER 21, 2023

As organizations become cloud-native and their environments more complex, DevOps teams are adapting to new challenges. Today, the platform engineer role is gaining speed as the newest byproduct of scaling DevOps in the emerging but complex cloud-native world. What is this new discipline, and is it a game-changer or just hype?

Games 241

Games Engineering DevOps Education 241

Dynatrace

DECEMBER 16, 2021

Service-level objectives (SLOs) are a great tool to align business goals with the technical goals that drive DevOps (Speed of Delivery) and Site Reliability Engineering (SRE) (Ensuring Production Resiliency). Introduction Objective Driven Development (ODD) for some Business SLOs. Dynatrace news. Availability.

DevOps 210

DevOps Social Media Mobile Metrics 210

DZone

APRIL 16, 2021

million developers worldwide. In an attempt to hold their place within the market, developers are having to speed their process up whilst delivering products of ever-increasing quality. Often speed and quality seem at odds with one another, but in reality, this isn’t the case.

Speed 278

Speed Software Software Metrics 278

Dynatrace

NOVEMBER 7, 2023

The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world.

Engineering 279

Engineering DevOps Best Practices Infrastructure 279

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. Unified observability and security in the development process are crucial to defining ownership in the development process.

Engineering 249

Engineering DevOps Innovation Storage 249

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Organizations are turning to AI to automate manual tasks and see immediate benefits in IT operations, cybersecurity, and application development or DevOps.

Artificial Intelligence 188

Artificial Intelligence DevOps Strategy Open Source 188

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. These methods improve the software development lifecycle (SDLC), but what if infrastructure deployment and management could also benefit? GitOps improves speed and scalability.

DevOps 230

DevOps Infrastructure Speed Cloud 230

Dynatrace

APRIL 19, 2023

It is also central to helping leaders develop best-practice strategies to attract and retain new customers. Over a quarter of respondents (26%) expect it to continue to speed up in the future. 67% of CIOs in banking confirm their security teams don’t trust developers, compared to 52% in financial services.

Innovation 208

Innovation DevOps Strategy Speed 208

Dynatrace

FEBRUARY 15, 2023

Powered by Grail and the Dynatrace AutomationEngine , Site Reliability Guardian helps DevOps platform teams make better-informed release decisions by utilizing all the contextual observability and application security insights of the Dynatrace platform.

DevOps 224

DevOps Latency Traffic Best Practices 224

Dynatrace

DECEMBER 14, 2023

In today’s rapidly evolving business and technology landscape, organizations often prioritize the speed of development over security. The concern is that comprehensive application security in CI/CD environments is too hard to achieve and would slow down development and delivery.

AWS 267

AWS Innovation Speed Efficiency 267

Dynatrace

DECEMBER 12, 2023

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. DevOps teams , for example, can focus on driving innovation instead of grinding through manual jobs. This means greater productivity for individual teams.

Artificial Intelligence 211

Artificial Intelligence DevOps Analytics Strategy 211

Dynatrace

MAY 18, 2023

Additionally, nearly one quarter (24%) expect it to continue to speed up in the future. Weighing speed, quality, and security tradeoffs In addition to myriad benefits, digital transformation has brought complexities. 74% of software CIOs confirm that a shortage of skilled developers makes it difficult to keep up with demand.

Software 167

Software Software DevOps Innovation 167

Dynatrace

SEPTEMBER 20, 2022

DevSecOps brings development, operations, and security teams together in the software development lifecycle (SDLC). This approach enables teams to focus on speed and agility in software development without compromising security. What is DevSecOps and what is a DevSecOps maturity model?

Best Practices 267

Best Practices DevOps Education Serverless 267

Dynatrace

MAY 17, 2023

With the launch of ChatGPT, an AI chatbot developed by OpenAI, in November 2022, large language models (LLMs) and generative AI have become a global sensation, making their way to the top of boardroom agendas and household discussions worldwide. GPTs can also help quickly onboard team members to new development platforms and toolsets.

Innovation 265

Innovation Software Software Artificial Intelligence 265

Dynatrace

MAY 4, 2023

Moreover, the demand for rapid software delivery is putting additional stress on DevOps teams. In response to these industry shifts, more organizations are integrating security earlier in the software development lifecycle. Security teams are stretched thin, and development and operations teams aren’t far behind.

DevOps 218

DevOps Speed Innovation Open Source 218

Dynatrace

FEBRUARY 10, 2023

IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. Therefore, many organizations turn to a data lakehouse, which combines the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Learn more. Learn more.

Efficiency 281

Efficiency Performance Analytics DevOps 281