Dynatrace

JUNE 9, 2023

That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth. All of these factors challenge DevOps maturity. Teams need a technology boost to deal with managing cloud-native data volumes, such as using a data lakehouse for centralizing, managing, and analyzing data. What is DevOps maturity?

DevOps 246

DevOps Analytics Storage Metrics 246

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 264

DevOps Technology Technology Innovation 264

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

APRIL 16, 2025

” [1] As modern enterprises adopt cloud technologies over time, they often end up with a heterogeneous mix of fragmented security products managed by siloed teams, resulting in complexity, a broadened attack surface, and a plethora of unanswered security questions. Security teams can use it for threat detection and governance.

Serverless 219

Serverless Azure Cloud Infrastructure 219

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 246

Architecture Serverless Azure Programming 246

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. Too many SLOs create complexity for DevOps. With many pipelines to maintain, DevOps teams need automated orchestration. Dynatrace news.

Open Source 246

Open Source DevOps Cloud Metrics 246

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. Then teams can leverage and interpret the observable data.

DevOps 231

DevOps Monitoring Cloud Artificial Intelligence 231

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 246

DevOps Testing Monitoring Speed 246

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 246

DevOps Testing Monitoring Speed 246

Dynatrace

DECEMBER 12, 2024

More technology, more complexity The benefits of cloud-native architecture for IT systems come with the complexity of maintaining real-time visibility into security compliance and risk posture. For example, for companies with over 1,000 DevOps engineers, the potential savings are between $3.4

Analytics 289

Analytics Government Efficiency Innovation 289

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 331

Analytics Innovation DevOps Architecture 331

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 312

DevOps Architecture Innovation Infrastructure 312

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. How is it different from DevOps, and what’s next for the relationship between development, security, and operations within enterprises? What is DevSecOps?

DevOps 306

DevOps Best Practices Open Source Tuning 306

DZone

OCTOBER 24, 2023

Horizons of creativity are now open to define new approaches for the implementation and understanding of DevOps methods and technologies. Moreover, organizations and IT teams expect an investment boost in methods, architecture, and tools.

DevOps 162

DevOps Architecture Technology Technology 162

Dynatrace

JANUARY 19, 2022

Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. Over the past 18 months, the need to utilize cloud architecture has intensified. To understand highly distributed cloud-native technologies, teams need observability that scales using fewer tools, not more.

Artificial Intelligence 245

Artificial Intelligence DevOps Performance Games 245

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. Solving for SR.

Engineering 264

Engineering DevOps Government Latency 264

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 246

AWS Lambda Artificial Intelligence Serverless 246

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 306

Efficiency Performance Analytics DevOps 306

Dynatrace

JANUARY 12, 2022

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. To know which services are impacted, DevOps teams need to know what’s happening with their messaging systems. Seamless observability of messaging systems is critical for DevOps teams.

Analytics 246

Analytics Systems DevOps Healthcare 246

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 246

Cloud DevOps Strategy Monitoring 246

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. Solving for SR.

Engineering 245

Engineering DevOps Government Latency 245

Dynatrace

DECEMBER 24, 2020

IT, DevOps, and SRE teams seeking to know the health of their apps and services have always faced obstacles that can drain productivity, stifle collaboration, ratchet up the time to resolution, and limit the effectiveness of their collaboration with other parts of the business. Dynatrace news.

DevOps 279

DevOps Cloud Infrastructure Monitoring 279

DZone

JUNE 7, 2023

Cloud-native technology has been changing the way payment services are architected. In 2020, I presented a series of insights from real implementations adopting open-source and cloud-native technology to modernize payment services. The major omission in this series was to avoid discussing any aspect of cloud-native observability.

Architecture 130

Architecture Open Source DevOps Cloud 130

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. Dynatrace news. In fact, the global log management market is expected to grow from 1.9 billion in 2020 to $4.1 What are logs? Inadequate context.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

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 246

Serverless Azure Lambda AWS 246

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 244

Artificial Intelligence DevOps Analytics Cloud 244

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. DevOps works in conjunction with IT.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

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 245

Cloud DevOps Architecture Technology 245

Dynatrace

JANUARY 12, 2021

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Observability is the new standard of visibility and monitoring for cloud-native architectures. Dynatrace news. Leaders in tech are calling for radical change.

Monitoring 246

Monitoring Artificial Intelligence DevOps Serverless 246

Dynatrace

NOVEMBER 9, 2021

But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation. DevOps and Cloud Ops Automation. Figure 6 DevOps automation and Cloud Ops automation use cases.

DevOps 246

DevOps Innovation Cloud Programming 246

Dynatrace

MAY 8, 2023

Organizations in every industry are engaged in some form of digital transformation, integrating technology into all areas of the business. Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. Improved customer experience. Competitive advantage.

Strategy 244

Strategy Retail DevOps Traffic 244

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 245

Cloud Artificial Intelligence Innovation Architecture 245

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 245

Artificial Intelligence Automotive DevOps Infrastructure 245

Dynatrace

MARCH 3, 2020

The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. This involves new software delivery models, adapting to complex software architectures, and embracing automation for analysis and testing.

Performance 314

Performance Education Innovation Software Architecture 314

Dynatrace

APRIL 21, 2022

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale. Dynatrace news.

Database 246

Database DevOps Analytics Servers 246

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 264

Artificial Intelligence Cloud Best Practices DevOps 264