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 264

Development DevOps Programming Cloud 264

Dynatrace

MAY 18, 2022

With the most important components becoming release candidates , Dynatrace now supports the full OpenTelemetry specification on all runtimes and automatically adds intelligence to metrics at enterprise scale. So these metrics are immensely valuable to SRE and DevOps teams. Kudos and thanks to all fellow contributors.??.

Metrics 230

Metrics DevOps Tuning Virtualization 230

Dynatrace

FEBRUARY 2, 2023

This is achieved, in part, by establishing actionable statistical accuracy —not necessarily precise accuracy —through practical levels of metric sampling, aggregation, and extrapolation. Introducing metric extraction from business events Beginning with Dynatrace SaaS version 1.257, you can extract metrics from ingested business events.

Analytics 204

Analytics Metrics DevOps Storage 204

Dynatrace

NOVEMBER 3, 2023

With growing multicloud complexity and the need for organization-wide scalability, self-service and automation capabilities have become increasingly essential for developer productivity. Many consider it an effective solution for improving efficiency and overall satisfaction for developers across a variety of organizations and industries.

Engineering 214

Engineering DevOps Software Engineering Scalability 214

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Amazon Data Firehose helps stream logs to the right destination But your SREs and DevOps engineers know CloudWatch is not the terminal destination for data but rather an intermediate station.

Cloud 205

Cloud Lambda AWS Analytics 205

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs, metrics, and traces make up the bulk of all telemetry data. The data life cycle has multiple steps from start to finish.

Open Source 221

Open Source Metrics Cloud Transportation 221

DZone

OCTOBER 25, 2023

They observe the telemetry data (logs, metrics, traces) emitted from the application/microservice using various observability tools and make informed decisions regarding scaling, maintaining, or troubleshooting applications in the production environment. And most importantly, what is in it for developers, DevOps, and SRE folks?

DevOps 270

DevOps Metrics Monitoring Availability 270

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 185

Artificial Intelligence DevOps Strategy Open Source 185

Dynatrace

JANUARY 29, 2024

It is also a key metric for organizations looking to improve their DevOps performance. This metric represents the proportion of system incidents resolved by escalating to a higher level of support. Greater developer productivity. Improved change failure and escalation rates.

Best Practices 194

Best Practices DevOps Energy Innovation 194

Dynatrace

FEBRUARY 28, 2024

This view seamlessly correlates crucial events across all affected components, eliminating the manual effort of sifting through various monitoring tools for infrastructure, process, or service metrics. By using JavaScript and DQL, these dashboards can help generate reports on the current DORA metrics.

DevOps 205

DevOps Metrics Engineering Analytics 205

Dynatrace

FEBRUARY 21, 2024

They help foster confidence and consistency throughout the entire software development lifecycle (SDLC). Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. Continuous, informed improvement : Quality gates provide consistent feedback on key metrics.

Speed 209

Speed Software Software Latency 209

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. The practice uses continuous monitoring and high levels of automation in close collaboration with agile development teams to ensure applications are highly available and perform without friction. Service-level objectives (SLOs). availability.

Best Practices 225

Best Practices DevOps Latency Metrics 225

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. When organizations implement SLOs, they can improve software development processes and application performance. Develop error budgets to help teams measure success and make data-driven decisions.

Software 266

Software Software Benchmarking Latency 266

Tasktop

JULY 22, 2021

A passionate believer in the Scaled Agile Framework® — the most popular Agile methodology for scaling software development , with 70% of the Fortune 100 employing SAFe professionals —she has seen first hand the myriad benefits of leveraging SAFe® to boost business agility in the digital age. . © Scaled Agile, Inc.

Metrics 98

Metrics DevOps Efficiency Benchmarking 98

Dynatrace

MARCH 20, 2024

Changes in application code or configurations can impact performance metrics, affecting user experience and application functionality. Conclusion Keptn empowers DevOps teams to conquer the Kubernetes deployment challenge confidently, ensuring smoother and more efficient deployments.

Open Source 270

Open Source Hardware DevOps Infrastructure 270

Tasktop

JULY 1, 2021

While DevOps Research and Assessment (DORA) metrics help you deliver more quickly, Flow Metrics —as defined by Dr. Mik Kersten as part of his pioneering Value Stream Management paradigm the Flow Framework® —help you deliver the right things more quickly at the right quality and cost and with the necessary team engagement.

Metrics 59

Metrics DevOps Efficiency Software 59

Dynatrace

NOVEMBER 2, 2022

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines.

Software 198

Software Software Artificial Intelligence DevOps 198

Tasktop

JANUARY 5, 2022

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. Flow Metrics anti-pattern: Excluding part of the value stream. Chop up the value stream.

Metrics 98

Metrics Speed Analytics Azure 98

Dynatrace

OCTOBER 23, 2023

“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. This efficiency is why he and his teams use Dynatrace for everything in their development, security, and operations (DevSecOps) practices.

Design 219

Design Innovation DevOps Open Source 219

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. Adding to the complexity are containers–tools for cloud development—which can be ephemeral. Not just logs, metrics and traces. Learn more here.

AWS 230

AWS Lambda Artificial Intelligence Serverless 230

Dynatrace

FEBRUARY 10, 2023

The benefits of IT automation for development, security, and operations teams For organizations to stay innovative while remaining cost-efficient, building automation into IT processes and workflows is key. For example, development teams can use automation to increase efficiency in the software development lifecycle. Learn more.

Efficiency 278

Efficiency Performance Analytics DevOps 278

Dynatrace

NOVEMBER 14, 2023

Golden Paths for rapid product development Modern software development aims to streamline development and delivery processes to ensure fast releases to the market without violating quality and security standards. From a high-level point of view, platform engineering aims to: Reduce the cognitive load on development teams.

Government 196

Government Best Practices DevOps Engineering 196

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. As organizations develop new applications, vulnerabilities will continue to emerge.

Cloud 189

Cloud DevOps Open Source Retail 189

Dynatrace

DECEMBER 15, 2022

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. Adding application security to development and operations workflows increases efficiency. So, what is ITOps?

Artificial Intelligence 205

Artificial Intelligence DevOps Hardware Virtualization 205

Dynatrace

AUGUST 16, 2023

SLOs are specifically processed metrics that help businesses balance breakthroughs with reliability. SLOs are pivotal for development, DevOps, and SRE teams because they provide a common language for discussing system reliability. To manage this crucial aspect, many companies adopt service level objectives (SLOs).

Monitoring 187

Monitoring DevOps Metrics Innovation 187

Dynatrace

SEPTEMBER 8, 2022

Metrics, logs , and traces make up three vital prongs of modern observability. Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system. Optimally stored logs enable DevOps, SecOps, and other IT teams to access them easily.

Systems 187

Systems Cloud Analytics DevOps 187

Dynatrace

MAY 17, 2023

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. These examples can help you define your starting point for establishing DevOps and SRE best practices in your organization.

DevOps 189

DevOps Traffic Latency Best Practices 189

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 185

Cloud DevOps Strategy Monitoring 185

Dynatrace

JULY 13, 2021

With the increasing adoption of agile software development, DevOps , progressive continuous delivery, and Site Reliability Engineering (SRE) practices, many companies are aiming to deliver better software faster and more safely while keeping up with customer demands. A guide to event-driven SRE-inspired DevOps.

Cloud 242

Cloud DevOps Benchmarking Speed 242

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. Lines of code govern almost everything we do in our day-to-day activities. The way we buy, the way we sell, even the way we communicate.

Speed 278

Speed Software Software Metrics 278

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 224

Open Source DevOps Java Innovation 224

Dynatrace

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. As such, it’s important when creating your SLOs to avoid these common mistakes that can cause more headaches for your DevOps teams. Dynatrace news. Today, online services require near 100% uptime.

DevOps 198

DevOps Metrics Best Practices Latency 198

Dynatrace

NOVEMBER 10, 2021

By combining DevOps with Security to enable DevSecOps , you can shift security checks left into the software development lifecycle (SDLC), allowing you to keep up pace and velocity without jeopardizing security. Secure releases by default. If you want to learn more, reach out to us in the Dynatrace Community.

Serverless 215

Serverless DevOps Cloud Metrics 215

DZone

AUGUST 20, 2020

The widespread use of containers in DevOps allows dev teams to increase their efficiency in application development and enables them to bypass the barrier of different computing environments for their apps. Container monitoring allows you to track all of the metrics and states of your containers.

Monitoring 204

Monitoring DevOps Metrics Efficiency 204

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system.

Cloud 213

Cloud DevOps Azure Virtualization 213

Dynatrace

FEBRUARY 15, 2023

To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems. Cloud environments have become ever more complex, with an increasingly interconnected set of services.

Code 214

Code DevOps Cloud Analytics 214

DZone

MARCH 13, 2023

Site reliability engineering (SRE) is the practice of applying software engineering expertise to DevOps and operations problems. Service level indicators (SLIs) are the key measurements and metrics to determine the availability of a system. Service level objectives (SLOs) are the goals set for the availability expected out of a system.

Software Engineering 130

Software Engineering DevOps Google Engineering 130