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 235

DevOps Speed Infrastructure Software 235

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. Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data.

DevOps 246

DevOps Analytics Storage Metrics 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. 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 246

Open Source DevOps Cloud 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

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

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 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 231

DevOps Monitoring Cloud Artificial Intelligence 231

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. Customers ingest these findings to Dynatrace and track software quality and security from development to production.

Analytics 289

Analytics Government Efficiency Innovation 289

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.

Engineering 264

Engineering Development DevOps Infrastructure 264

DZone

MARCH 11, 2021

We can plausibly say the enterprise development market turned the tide on cloud-native development in 2020, as most net-new software and serious overhaul projects started moving toward microservices architectures, with Kubernetes as the preferred platform.

Open Source 312

Open Source Cloud DevOps Architecture 312

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 246

Development Serverless Government Open Source 246

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

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 312

Best Practices DevOps Education Serverless 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. With an integrated DevSecOps approach, organizations can reduce security risk without derailing development timelines. Development. What is DevSecOps?

DevOps 306

DevOps Best Practices Open Source Tuning 306

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 246

Engineering Development Infrastructure Cloud 246

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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

OCTOBER 14, 2020

Today’s story is about how the Keptn development team is using Dynatrace during development and load-testing. We were in the process of developing a new feature and wanted to make sure it could handle the expected load behavior. Conclusion: Dynatrace is always on for us developers. It happened in June 2020.

Cloud 302

Cloud Development Open Source Monitoring 302

Scalegrid

AUGUST 16, 2021

However, as any development and/or DevOps team tasked with performance improvements will attest, making data-driven apps fast globally is “non-trivial”. Modern application architectures such as the JAMstack enforce the separation […]. Guest post by Ben Hagan from PolyScale.ai

Cache 279

Cache DevOps Architecture Systems 279

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

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. Over the past 18 months, the need to utilize cloud architecture has intensified. Modern cloud-native environments rely heavily on microservices architectures.

Artificial Intelligence 245

Artificial Intelligence DevOps Performance Games 245

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 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. This is fueling key DevSecOps trends in 2022.

Serverless 312

Serverless Infrastructure Innovation DevOps 312

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 246

Cloud DevOps Open Source Retail 246

Dynatrace

AUGUST 29, 2022

Release validation is a critical DevOps practice to help ensure that code released into production is successful. DevOps practices have become key for organizations looking to scale, stay competitive, and keep up with customer demand. Dynatrace news. What is release validation? Automating release validation.

DevOps 264

DevOps Benchmarking Cloud Monitoring 264

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

MARCH 8, 2022

For operations, development and security teams, the pressure to deliver better, more secure software faster has never been more critical for business value. At the conference, Dynatrace made several announcements to empower its game-changing community of engineers, developers and security pros. Dynatrace news.

Code 246

Code Software Software Serverless 246

Dynatrace

JUNE 2, 2022

SRE is becoming an essential discipline in organizations that use DevOps (the combination of development and operations) and agile methodologies. The report uncovers six site reliability engineering trends that will help organizations get the most from DevOps practices. SRE adoption is growing, yet gaps remain.

DevOps 147

DevOps Innovation Engineering Benchmarking 147

Dynatrace

FEBRUARY 10, 2023

Data lakehouse architecture stores data insights in context — handbook Organizations need a data architecture that can cost-efficiently store data and enable IT pros to access it in real time and with proper context. For example, development teams can use automation to increase efficiency in the software development lifecycle.

Efficiency 306

Efficiency Performance Analytics DevOps 306

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. Dynatrace news. Cloud-native is the preferred way of delivering applications.

Cloud 246

Cloud DevOps Strategy Monitoring 246

Dynatrace

MAY 21, 2021

This modular microservices-based approach to computing decouples applications from the underlying infrastructure to provide greater flexibility and durability, while enabling developers to build and update these applications faster and with less risk. What is a service mesh? How service meshes work: The Istio example.

Traffic 279

Traffic DevOps Infrastructure Network 279

Dynatrace

SEPTEMBER 27, 2024

We’ll further learn how Omnilogy developed a custom Pipeline Observability Solution on top of Dynatrace and gain insights into their thought process throughout the journey. Without detailed insights, organizations risk encountering development downtime and pre-production delays due to slow builds or increased failure rates.

Government 246

Government DevOps Azure Scalability 246

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments.

Metrics 363

Metrics Open Source Monitoring Cloud 363

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 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Machine learning applications may be developed standalone, but they’re often part of larger AI systems. Why deterministic AIOps is essential for DevOps — and beyond.

Artificial Intelligence 244

Artificial Intelligence DevOps Analytics Cloud 244