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 pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 264

Engineering Development DevOps Infrastructure 264

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 245

Engineering DevOps Government Latency 245

Dynatrace

MARCH 22, 2021

If security concerns are driving you to review your approach to development, you’re likely weighing DevOps vs DevSecOps, and considering how to incorporate security practices into your software delivery workflows, to protect your users and your business. DevSecOps is the practice of integrating security into the DevOps workflow.

DevOps 235

DevOps Speed Infrastructure Software 235

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 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

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

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

Serverless 245

Serverless Architecture Open Source Innovation 245

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

MARCH 29, 2024

Five of the most common include cluster instability, resource and cost management, security, observability, and stress on engineering teams. Engineering teams are overwhelmed with stuff to do.” The post Enhancing Kubernetes cluster management key to platform engineering success appeared first on Dynatrace news.

Engineering 264

Engineering DevOps Operating System Cloud 264

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

NOVEMBER 14, 2023

Site reliability engineering (SRE) has become increasingly important to organizations looking to keep up with the rapid pace of digital transformation. Dynatrace product marketing director of DevOps Saif Gunja hosted the 2023 State of SRE webinar. Teams should ensure that even the smallest SLOs relate to business growth.

Best Practices 246

Best Practices Engineering DevOps Software Engineering 246

Dynatrace

JUNE 2, 2022

Site reliability engineering (SRE) continues to gain popularity as organizations embrace hybrid cloud strategies and IT automation at scale. By applying software engineering principles to operations and infrastructure practices, SRE enables organizations to streamline and automate IT processes. Dynatrace news.

DevOps 147

DevOps Innovation Engineering Benchmarking 147

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

DZone

OCTOBER 1, 2024

In recent years, observability has re-emerged as a critical aspect of DevOps and software engineering in general, driven by the growing complexity and scale of modern, cloud-native applications.

Software Engineering 298

Software Engineering DevOps Cloud Architecture 298

Dynatrace

FEBRUARY 12, 2024

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering 246

Engineering Development Infrastructure Cloud 246

Dynatrace

SEPTEMBER 30, 2019

Dynatrace’s AI engine, Davis automatically identified high traffic surges on the county website as the fire took hold. The challenges of migrating those workloads from traditional monolithic applications on 3-tiered architecture to a cloud-native platform and microservice architecture may seem daunting. How Dynatrace helped.

DevOps 197

DevOps Traffic Website Infrastructure 197

DZone

MARCH 5, 2024

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, The Modern DevOps Lifecycle: Shifting CI/CD and Application Architectures. Complementing these practices is site reliability engineering (SRE), a discipline ensuring system reliability, performance, and scalability.

Availability 288

Availability DevOps Infrastructure Scalability 288

Dynatrace

JULY 18, 2024

To keep up with current demands, DevOps and platform engineering teams need a solution that can fully embrace and understand complexity, delivering precise answers that enable the creation of trustworthy automation. The effectiveness of this automation relies on the quality of the underlying data.

Monitoring 278

Monitoring DevOps Infrastructure Games 278

Dynatrace

MARCH 3, 2020

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Here is the definition of this model: ?. Try it today using Keptn .

Performance 314

Performance Education Innovation Software Architecture 314

Dynatrace

MARCH 8, 2022

At the conference, Dynatrace made several announcements to empower its game-changing community of engineers, developers and security pros. Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. At Dynatrace Perform 2022 in February, the theme was “Empowering the game changers.”.

Code 246

Code Software Software Serverless 246

Dynatrace

JANUARY 19, 2022

Over the past 18 months, the need to utilize cloud architecture has intensified. As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to the activity in their multi-cloud environments. Modern cloud-native environments rely heavily on microservices architectures.

Artificial Intelligence 245

Artificial Intelligence DevOps Performance Games 245

Dynatrace

FEBRUARY 9, 2022

Engineers often choose best-of-breed services from multiple sources to create a single application. 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.

Serverless 246

Serverless Azure Lambda AWS 246

Dynatrace

SEPTEMBER 27, 2024

The goal was to develop a custom solution that enables DevOps and engineering teams to analyze and improve pipeline performance issues and alert on health metrics across CI/CD platforms. Figure 2 provides an overview of Dynatrace’s core platform components which customers and partners can leverage to build custom apps.

Government 246

Government DevOps Azure Scalability 246

Dynatrace

FEBRUARY 10, 2023

Grail, the Dynatrace causational data lakehouse with a massively parallel processing analytics engine, unites observability, security, and business data from multicloud and cloud-native environments while retaining the data’s context to deliver precise answers in real time. DevOps metrics and digital experience data are critical to this.

Efficiency 306

Efficiency Performance Analytics DevOps 306

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

JULY 9, 2020

Gone are the days for Christian manually looking at dashboards and metrics after a new build got deployed into a testing or acceptance environment: Integrating Keptn into your existing DevOps tools such as GitLab is just a matter of an API call. Automate Performance aka Performance as a Self-Service: Watch SRE-Driven Performance Engineering.

Cloud 261

Cloud DevOps Architecture Azure 261

Dynatrace

JUNE 15, 2021

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. The email walked through how our Dynatrace self-monitoring notified users of the outage but automatically remediated the problem thanks to our platform’s architecture. via Jenkins, GitLab, Azure DevOps, Keptn.

AWS 246

AWS Traffic Architecture Azure 246

O'Reilly

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. Can’t we just fold it into existing DevOps best practices?

DevOps 145

DevOps Software Engineering Infrastructure Open Source 145

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

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

JULY 7, 2022

The framework forms the basis of the SAE (Society of Automotive Engineers) automation levels 1 through 5 for cars. Cumbersome legacy IT architecture is giving way to modern multicloud architectures where technologies, data, and processes converge to enable innovation. So, what should IT operations and DevOps teams do?

Artificial Intelligence 245

Artificial Intelligence Automotive DevOps Infrastructure 245

Dynatrace

JUNE 29, 2022

To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture? Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds.

Infrastructure 246

Infrastructure Cloud Azure AWS 246

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Why deterministic AIOps is essential for DevOps — and beyond. These systems are generating more data than ever, and teams simply can’t keep up with a manual approach.

Artificial Intelligence 244

Artificial Intelligence DevOps Analytics Cloud 244

Dynatrace

APRIL 21, 2022

With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale. In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale.

Database 246

Database DevOps Analytics Servers 246