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. The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. Fact #4: Multi-node, multi-availability zone deployment architecture.

AWS 182

AWS Traffic Architecture Azure 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. Solving for SR.

Engineering 170

Engineering DevOps Government Latency 170

Dynatrace

APRIL 18, 2022

Software engineer Taras Tsugrii of Meta (formerly Facebook) paid Keptn a high compliment, saying it feels like a reference implementation of Google’s SRE principles , which are the search giant’s techniques for ensuring the integrity of its sites and services. SLOs are a great way to define what software should do.

Open Source 180

Open Source DevOps Cloud Metrics 180

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Testlodge

MAY 26, 2021

Besides, complex architecture, non-availability of required expertise, a lack of new tools or advanced technology, inappropriate domain knowledge, etc., A risk analyst or an experienced software engineer will be in the best position to carry out this activity. can create a risk.

Testing 105

Testing Software Engineering Best Practices Strategy 105

High Scalability

DECEMBER 18, 2018

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast. Please apply here. Apply here. Need excellent people?

Healthcare 122

Healthcare Best Practices DevOps Cache 122

The Netflix TechBlog

JUNE 1, 2021

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. Samuel Setegne is a Senior Software Engineer on the Core Data Science and Engineering team.

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

O'Reilly

NOVEMBER 12, 2019

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The high response rate tells us that serverless is garnering significant mindshare in the community.

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

SQL Server According to Bob

MARCH 18, 2018

The calculation was based on architecture only Default-Worker-Count = (starting count x86=256 : x64=512) + (## of workers per CPU on the system [x86=8 : x64=16]). It is a best practice keep the setting above 128. Bob Dorr – Principal Software Engineer SQL Server. CLR Garbage Collection.

Servers 40

Servers Best Practices Software Engineering Operating System 40

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

Smashing Magazine

MAY 17, 2021

I founded Instant Domain Search in 2005 and kept it as a side-hustle while I worked on a Y Combinator company (Snipshot, W06), before working as a software engineer at Facebook. This architecture means we can inexpensively capture about as many data points as we can generate. We still have a lot of work to do! Large preview ).

Google 93

Google Analytics Serverless Metrics 93

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

Strategic Tech

AUGUST 26, 2018

A trip to the supermarket can teach you a lot about designing software systems and shaping teams to build them… I was recently in need of some chocolate sauce. The Chocolate Sauce Heuristic for Software Design There are a few lessons about software development we can learn from this story, but I want to focus on design.

Design 40

Design Software Architecture Architecture Software 40