Dynatrace

APRIL 30, 2021

But because of the complexity involved in executing and analyzing test results of dynamic systems, performance engineering is difficult to scale — especially with lean staff or resources. Grabner also introduced four ways organizations can turbocharge their performance engineering with automation. Automating root cause analysis.

Engineering 263

Engineering Testing Performance Performance Testing 263

Dynatrace

OCTOBER 21, 2020

Our Cluster Performance Engineering Team in collaboration with our Autonomous Cloud Enablement (ACE) and development teams quickly identified the root cause and fixed the problem in no time! And the code-level root cause information is what makes troubleshooting easy for developers. Step 3: Identifying root-cause in code.

Code 246

Code Cloud Engineering Java 246

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

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. Shift-left using an SRE approach means that reliability is baked into each process, app and code change.

Engineering 245

Engineering DevOps Government Latency 245

Dynatrace

FEBRUARY 9, 2022

Key components of GitOps are declarative infrastructure as code, orchestration, and observability. Site Reliability Engineering (SRE) relies on observability and the automated setup of observability to find answers to questions like, “Did my deployment work?” Many observability solutions don’t support an “as code” approach.

Code 246

Code Software Software DevOps 246

The Netflix TechBlog

MAY 1, 2019

the brilliant synth-pop score or the perfectly mixed soundscape of a high speed chase?—?is Our engineering team and Creative Technologies sound expert joined forces to quickly solve the issue, but a larger conversation about higher quality audio continued. Imagine this scene without the sound. experience for many more moments of joy.

Engineering 274

Engineering Network Media Entertainment 274

Dynatrace

MAY 17, 2023

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. First, SREs must ensure teams recognize intellectual property (IP) rights on any code shared by and with GPTs and other generative AI, including copyrighted, trademarked, or patented content.

Innovation 306

Innovation Software Software Artificial Intelligence 306

Dynatrace

FEBRUARY 24, 2021

Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. But with that speed and agility comes new complications and complexity, all while maintaining performance and reliability with less than 1% down-time per year. SRE as an application of DevOps.

DevOps 268

DevOps Software Engineering Speed Google 268

Dynatrace

OCTOBER 4, 2024

In such contexts, platform engineering offers a compelling solution to enable business competitiveness in a manner that significantly enhances the developer experience. Treating an Internal Developer Platform (IDP) as a product is an emerging paradigm within platform engineering communities. Test : Playwright executes end-to-end tests.

Software 278

Software Software Development Performance 278

Dynatrace

JANUARY 18, 2023

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. This drive for speed has a cost: 22% of leaders admit they’re under so much pressure to innovate faster that they must sacrifice code quality.

DevOps 246

DevOps Best Practices Innovation Strategy 246

Dynatrace

APRIL 30, 2021

At Perform 2021, Dynatrace product manager Michael Winkler sat down with Atlassian’s DevOps evangelist, Ian Buchanan, to talk about how you can achieve speed, stability, and scale in your DevOps toolchain as you optimize your practices on the path to self-service. The status quo of the DevOps toolchain. Scaling out.

DevOps 246

DevOps Speed Efficiency Code 246

The Netflix TechBlog

DECEMBER 3, 2022

One of the main reasons this feature exists is just like with food samples, to give you “a taste” of the production quality ETL code that you could encounter inside the Netflix data ecosystem. " , country_code STRING COMMENT "Country code of the playback session." This is one way to build trust with our internal user base.

Best Practices 361

Best Practices Code Testing Data Engineering 361

Dynatrace

FEBRUARY 10, 2022

As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage. Further, many organizations—more than 90%—have turned to cloud computing to navigate the highwire act of balancing speed and quality.

Artificial Intelligence 260

Artificial Intelligence Performance Innovation Speed 260

Dynatrace

DECEMBER 14, 2023

In today’s rapidly evolving business and technology landscape, organizations often prioritize the speed of development over security. Modern solutions like Snyk and Dynatrace offer a way to achieve the speed of modern innovation without sacrificing security. 249% increase in code base coverage on average.

AWS 299

AWS Innovation Speed Efficiency 299

Speed Curve

JANUARY 19, 2025

Annie leads the Chrome Speed Metrics team at Google, which has arguably had the most significant impact on web performance of the past decade. It's really important to acknowledge that none of this would have been possible without the great work from Annie and her small-but-mighty Speed Metrics team at Google. Nice job, everyone!

Performance 98

Performance Google Speed Metrics 98

Dynatrace

SEPTEMBER 22, 2022

Staying ahead of customer needs requires speed and agility from all phases of the software development life cycle (SDLC). DevOps automation is a set of tools and technologies that perform routine, repeatable tasks that engineers would otherwise do manually. It helps to assess the long- and short-term efficiency and speed of DevOps.

DevOps 246

DevOps Speed Innovation Monitoring 246

The Netflix TechBlog

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

CSS Wizardry

JUNE 30, 2023

I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. log ( window. performance.

Metrics 327

Metrics Google Code Monitoring 327

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. Developers also need to automate the release process to speed up deployment and reliability.

Open Source 246

Open Source DevOps Cloud Metrics 246

Dynatrace

AUGUST 11, 2022

In addition to modern application stacks introducing new levels of speed and complexity, they also create new security challenges. The Dynatrace Davis AI engine aggregates vulnerability data in real time and recommends actions to improve the security of your Go applications. In cloud-native application stacks, everything is code.

Java 264

Java Cloud Virtualization DevOps 264

Dynatrace

OCTOBER 7, 2021

Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS Fargate: Fargate is a serverless compute engine designed for containers that work with Amazon’s Elastic Kubernetes Service (EKS) and the Amazon Elastic Container Service (ECS).

Serverless 325

Serverless AWS Lambda Storage 325

Dynatrace

AUGUST 9, 2019

Commit Cycle Time refers to the average time for a code or configuration change until it’s deployed into production and accessible to users. The code is smaller, and every software engineer makes production changes on an ongoing basis. Microservices are often the best approach to breaking down software. Get rid of dependencies.

Speed 147

Speed Innovation DevOps Cloud 147

Dynatrace

DECEMBER 5, 2022

Yet, ensuring code quality and breaking down silos are some of the many challenges that come with DevOps methodologies. In a similar way that developers automate a single task to improve consistency, efficiency, and speed, orchestration tools can coordinate the automation of tasks across platforms. Automation versus orchestration.

DevOps 264

DevOps Virtualization Best Practices Innovation 264

Dynatrace

MAY 18, 2023

Additionally, nearly one quarter (24%) expect it to continue to speed up in the future. Weighing speed, quality, and security tradeoffs In addition to myriad benefits, digital transformation has brought complexities. CIOs in the software sector report their critical applications are now changing at a rapid rate.

Software 240

Software Software DevOps Innovation 240

Dynatrace

MAY 31, 2023

Site reliability engineering (SRE) has recently become a critical discipline in recent years as the world has shifted in favor of web-based interactions. This shift is leading more organizations to hire site reliability engineers to guarantee the reliability and resiliency of their services. Mobile retail e-commerce spending in the U.

Best Practices 246

Best Practices DevOps Latency Metrics 246

Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Why is developer observability important for engineers? But developers need code-level visibility and code-level data.” Observability is about answering questions,” said Laifenfeld.

Development 290

Development DevOps Programming Cloud 290

The Netflix TechBlog

OCTOBER 29, 2020

For these reasons, as a small engineering team, we’ve found that optimizing for reliability and speed of product delivery is required for us to serve our evolving customers’ needs successfully. Almost 50% of the production code in our Android and iOS apps is decoupled from the underlying platform.

Mobile 279

Mobile Cache Network Technology 279

Dynatrace

FEBRUARY 10, 2023

IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. Therefore, many organizations turn to a data lakehouse, which combines the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. What is a data lakehouse?

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

OCTOBER 19, 2023

Implementing vulnerability management in your application security process aids in vulnerability detection and prevention before they can enter production code. DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps. Download the free 2023 CISO Report.

Best Practices 264

Best Practices Speed Benchmarking Infrastructure 264

Dynatrace

JANUARY 23, 2024

Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Check back here throughout the event for the latest news, insights, and announcements.

Performance 246

Performance DevOps Innovation Energy 246

Dynatrace

SEPTEMBER 4, 2020

You can, for example, drive ad hoc multidimensional analysis to analyze, chart, and report on microservice-based metrics without code changes. You can use powerful dashboard capabilities to visualize whatever metrics are most relevant to your teams and let the Davis AI causation engine automatically identify the root cause of problems.

Speed 173

Speed Metrics Monitoring Availability 173

Dynatrace

OCTOBER 4, 2022

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. But for full-stack observability , you also need to bring together the topology data model, code-level details, and user experience data. It saves engineers a lot of time by showing exactly what went wrong and how it happened.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors.

Artificial Intelligence 246

Artificial Intelligence Analytics Efficiency Database 246

Dynatrace

APRIL 29, 2021

To compete, organizations have to achieve both speed and reliability when bringing new products and services to market. With CI, multiple software developers can work on different features or modules of the same application and individually commit their updates to a shared code repository as they complete them, often many times a day.

DevOps 299

DevOps Logistics Code Software 299

Dynatrace

FEBRUARY 10, 2021

Organizations are shifting towards cloud-native stacks where existing application security approaches can’t keep up with the speed and variability of modern development processes. In cloud-native application stacks, everything is code. Now, engineers can use a direct link to the affected container images as well. Is it used?

Java 264

Java Open Source Engineering Database 264

Dynatrace

MAY 7, 2019

Traditional monitoring systems cannot keep up with the speed of change in those highly dynamic large-scale container environments. Native integration of Kubernetes/OpenShift node events with the Davis AI causation engine. Automated distributed tracing, deep monitoring and AI-powered answers for OpenShift 4.0

Monitoring 262

Monitoring Architecture Metrics Analytics 262

Dynatrace

OCTOBER 4, 2022

Further, it builds a rich analytics layer powered by Dynatrace causational artificial intelligence, Davis® AI, and creates a query engine that offers insights at unmatched speed. Consider a log event in which the event itself has fields such as error code, severity, or time stamp. Ingest and process with Grail.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290