Dynatrace

MAY 23, 2022

As the pace of business quickens, software development has adapted. As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Shifting from monolith to microservices makes it easier to test, develop, and release innovative features more rapidly.

Architecture 200

Architecture DevOps Monitoring Programming 200

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

DZone

MARCH 8, 2024

In today's fast-paced digital landscape, organizations are increasingly embracing multi-cloud environments and cloud-native architectures to drive innovation and deliver seamless customer experiences. They enable developers, engineers, and architects to drive innovation, but they also introduce new challenges."

Analytics 325

Analytics Innovation DevOps Architecture 325

Dynatrace

JULY 7, 2022

Many organizations are taking a microservices approach to IT architecture. A microservices approach enables DevOps teams to develop an application as a suite of small services. However, in some cases, an organization may be better suited to another architecture approach. What is the monolithic architecture approach?

Architecture 206

Architecture Serverless Azure Programming 206

Dynatrace

AUGUST 14, 2023

Many organizations’ IT teams address digital experience in the latter half of the software development lifecycle (SDLC). But with the rise of DevSecOps and the “ shift left ” of development practices, more organizations are beginning to see the benefits of building user experience earlier into the SDLC.

Development 202

Development Serverless Government Innovation 202

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 193

Open Source DevOps Cloud Metrics 193

Smashing Magazine

AUGUST 15, 2021

How To Develop Your Business’ Technology Roadmap. How To Develop Your Business’ Technology Roadmap. As software developers, we’re usually right there with them. Agile” And “Fast” Are Not The Same In Software Development. Many people think an Agile approach to software development discards long-term planning.

Technology 139

Technology Technology Development Strategy 139

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 202

DevOps Testing Monitoring Speed 202

Dynatrace

APRIL 22, 2021

To keep up, we’ve seen growing interest in DevOps and continuous delivery , as organizations aim to deliver new digital services and experiences faster. However, it isn’t as simple as just implementing a DevOps toolset, analyzing DevOps metrics, or investing in DevOps monitoring capabilities. What is DevOps?

DevOps 223

DevOps Innovation Technology Technology 223

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

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

DZone

JUNE 22, 2023

Architects, DevOps, and cloud engineers are gradually trying to understand which is better to continue the journey with: the API gateway, or adopt an entirely new service mesh technology?

DevOps 302

DevOps Architecture Innovation Infrastructure 302

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But only 21% said their organizations have established policies governing employees’ use of generative AI technologies.

Artificial Intelligence 235

Artificial Intelligence Cloud Best Practices DevOps 235

Dynatrace

DECEMBER 2, 2020

As more organizations transition to distributed services, IT teams are experiencing the limitations of traditional monitoring tools, which were designed for yesterday’s monolithic architectures. The architects and developers who create the software must design it to be observed.

DevOps 154

DevOps Monitoring Cloud Artificial Intelligence 154

Abhishek Tiwari

FEBRUARY 26, 2020

The evolution of your technology architecture should depend on the size, culture, and skill set of your engineering organization. There are no hard-and-fast rules to figure out interdependency between technology architecture and engineering organization but below is what I think can really work well for product startup.

Technology 81

Technology Technology Architecture Engineering 81

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. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 233

AWS Lambda Artificial Intelligence Serverless 233

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI data analysis can help development teams release software faster and at higher quality. As organizations adopt more AI technologies, the associated costs are skyrocketing.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

FEBRUARY 10, 2023

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. See how Dynatrace Log Management and Analytics enables any analysis at any time with Grail technology. That’s where a data lakehouse can help.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

OCTOBER 23, 2023

This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies. We believe at Soldo that efficiency is the key value to be very successful in the business we run,” said Luca Domenella, head of cloud operations and DevOps at Soldo.

Design 223

Design Innovation DevOps Open Source 223

Dynatrace

JANUARY 19, 2022

As strained IT, development, and security teams head into 2022, the pressure to deliver better, more secure software faster has never been more consequential. Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. Dynatrace news.

Artificial Intelligence 184

Artificial Intelligence DevOps Performance Games 184

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. ITOps vs. DevOps and DevSecOps. So, what is ITOps? What is ITOps?

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

MAY 4, 2022

Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. As DevOps teams are pivoting to cloud-native technologies, IT environments have become increasingly complex. Cloud technologies enable teams to deploy and release software more frequently.

Cloud 188

Cloud DevOps Strategy Monitoring 188

Dynatrace

FEBRUARY 4, 2021

.” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. SRE bridges the gap between Dev and Ops teams.

Engineering 257

Engineering DevOps Government Latency 257

Dynatrace

JANUARY 26, 2021

DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. With an integrated DevSecOps approach, organizations can reduce security risk without derailing development timelines. Development. What is DevSecOps?

DevOps 274

DevOps Best Practices Open Source Tuning 274

Official Blog - World Web Technology

DECEMBER 4, 2023

You cannot leave SDLC unnoticed when you are into software development. How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC means Software Development Life Cycle. What is SDLC?

Processing 64

Processing Software Software Development 64

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data.

Artificial Intelligence 180

Artificial Intelligence DevOps Analytics Cloud 180

Dynatrace

JANUARY 18, 2024

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. Safety concerns are at the forefront of autonomous vehicle development, and model understandability is crucial to improving and maintaining functionality in such technology.

Artificial Intelligence 217

Artificial Intelligence Healthcare Government Technology 217

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. This approach, however, requires more extensive collaboration between developers, security teams and IT operations teams. Dynatrace news.

Open Source 227

Open Source DevOps Java Innovation 227

O'Reilly

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Can’t we just fold it into existing DevOps best practices? What does a modern technology stack for streamlined ML processes look like?

DevOps 137

DevOps Software Engineering Infrastructure Open Source 137

Dynatrace

JUNE 26, 2023

Software automation enables digital supply chain stakeholders — such as digital operations, DevSecOps, ITOps, and CloudOps teams — to orchestrate resources across the software development lifecycle to bring innovative, high-quality products and services to market faster. What is software analytics? The post What is software automation?

Software 193

Software Software Analytics Big Data 193

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 182

Cloud Artificial Intelligence Innovation Analytics 182

Dynatrace

FEBRUARY 4, 2021

.” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. SRE bridges the gap between Dev and Ops teams.

Engineering 181

Engineering DevOps Government Latency 181

Dynatrace

OCTOBER 16, 2023

At the Dynatrace Innovate conference in Barcelona, Bernd Greifeneder, Dynatrace chief technology officer, discussed key examples of how the Dynatrace observability platform delivers value well beyond traditional monitoring. Developer observability as a service. With Grail, for example, a DevOps team can pre-scan logs.

Innovation 203

Innovation DevOps Cloud Efficiency 203

Dynatrace

FEBRUARY 9, 2022

AI-powered automation and deep, broad observability for serverless architectures. This enables your DevOps teams to get a holistic overview of their multicloud serverless applications. Have a look at the full range of supported technologies. 1 Multicloud serverless application dashboard at a glance.

Serverless 193

Serverless Azure Lambda AWS 193

Dynatrace

MAY 3, 2022

To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. As organizations adopt cloud-native technologies, complexity increases. A measured approach to adding new technology to your stack, such as containerizing applications.

Cloud 183

Cloud DevOps Architecture Technology 183

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. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. Dynatrace news.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

JULY 7, 2022

But as IT teams increasingly design and manage cloud-native technologies, the tasks IT pros need to accomplish are equally variable and complex. By sensing, thinking, and acting, these technologies can complete tasks automatically. So, what should IT operations and DevOps teams do? Sense’ with observability. Act’ with AIOps.

Artificial Intelligence 185

Artificial Intelligence Automotive DevOps Infrastructure 185