Dynatrace

NOVEMBER 7, 2023

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026.

Engineering 270

Engineering DevOps Best Practices Infrastructure 270

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? DevOps, SREs, developers… everyone will ask questions. The DevOps people looking end-to-end.

Development 258

Development DevOps Programming Cloud 258

Dynatrace

FEBRUARY 4, 2021

What is site reliability engineering? 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 bridges the gap between Dev and Ops teams.

Engineering 252

Engineering DevOps Government Latency 252

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. 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.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

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. Dynatrace news. SRE bridges the gap between Dev and Ops teams.

Engineering 173

Engineering DevOps Government Latency 173

Dynatrace

JULY 18, 2023

Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. As software development grows more complex, managing components using an automated onboarding process becomes increasingly important.

Best Practices 186

Best Practices Code Infrastructure Latency 186

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. 1 Performance-as-a-self-service at Pay P al .

Performance 239

Performance Education Innovation Software Architecture 239

Dynatrace

JUNE 15, 2021

Software reliability and resiliency don’t just happen by simply moving your software to a modern stack, or by moving your workloads to the cloud. And the last sentence of the email was what made me want to share this story publicly, as it’s a testimonial to how modern software engineering and operations should make you feel.

AWS 186

AWS Traffic Architecture Azure 186

High Scalability

DECEMBER 18, 2018

pMD is a fast­ growing , highly rated health care technology company that has been recognized as a Best Place to Work by SF Business Times, Modern Healthcare, and Inc. Triplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart.

Healthcare 122

Healthcare Best Practices DevOps Cache 122

O'Reilly Software

SEPTEMBER 7, 2018

From chaos architecture to event streaming to leading teams, the O'Reilly Software Architecture Conference offers a unique depth and breadth of content. We received more than 200 abstracts for talks for the 2018 O'Reilly Software Architecture Conference in London—on both expected and surprising topics. How will you handle it?"

Software Architecture 64

Software Architecture Architecture Software Software 64

O'Reilly

NOVEMBER 12, 2019

We suspect this points to a general drift toward software teams taking more responsibility for infrastructure, and increasingly, enabled by serverless options. As noted earlier, the majority of survey respondents are software engineers. Industries of survey respondents. Organization size of survey respondents.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

The Morning Paper

FEBRUARY 18, 2020

The key insight this led to is that ML models are software , derived from data. ML learning systems combine the characteristics of software, e.g. the need for CI/CD pipelines, and of data, e.g. the need to track lineage. Many of the software engineering discipline and controls need to be brought over into an ML context.

Government 95

Government Software Engineering Storage Database 95

O'Reilly

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. Can’t we just fold it into existing DevOps best practices? How can you start applying the stack in practice today?

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138

Brendan Gregg

APRIL 30, 2018

Today's LISA attracts attendees working on all sizes of production systems, and its attendees include sysadmins, systems engineers, SREs, DevOps engineers, software engineers, IT managers, security engineers, network administrators, researchers, students, and more.

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

Today's LISA attracts attendees working on all sizes of production systems, and its attendees include sysadmins, systems engineers, SREs, DevOps engineers, software engineers, IT managers, security engineers, network administrators, researchers, students, and more.

DevOps 40

DevOps Network Best Practices Programming 40

The Agile Manager

JANUARY 31, 2015

IT generally organizes around technical roles: we have infrastructure people, database people, helpdesk people, software development people, and so forth. But in strategic software development, the business domain influences technical implementation, so IT needs tighter alignment with the business.

Best Practices 40

Best Practices Government Hardware Efficiency 40