Dynatrace

MARCH 14, 2022

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. exemplifies this trend, where cloud transformation and artificial intelligence are popular topics.

Healthcare 234

Healthcare Artificial Intelligence Innovation Strategy 234

Dynatrace

DECEMBER 10, 2020

Change starts by thoroughly evaluating whether the current architecture, tools, and processes for configuration, infrastructure, code delivery pipelines, testing, and monitoring enable improved customer experience faster and with high quality or not. Rethinking the process means digital transformation.

Strategy 186

Strategy Performance Logistics Monitoring 186

Dynatrace

MAY 15, 2020

This is especially true when we consider the explosive growth of cloud and container environments, where containers are orchestrated and infrastructure is software defined, meaning even the simplest of environments move at speeds beyond manual control, and beyond the speed of legacy Security practices.

Government 235

Government DevOps Infrastructure Network 235

Dynatrace

JUNE 1, 2021

Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services. Virtual desktop infrastructure (VDI) monitoring to maximize the productivity of employees using VDI.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

MARCH 22, 2021

Traditional application security measures are not living up to the challenges presented by dynamic and complex cloud-native architectures and rapid software release cycles. Why application security measures are failing. Truly implementing DevSecOps requires a cultural shift. A single solution to facilitate the transition to DevSecOps.

DevOps 160

DevOps Speed Infrastructure Best Practices 160

The Netflix TechBlog

SEPTEMBER 8, 2020

How we migrated our Android endpoints out of a monolith into a new microservice by Rohan Dhruva , Ed Ballot As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON. For the migration, testing was a first-class citizen.

Latency 233

Latency Cache Java Traffic 233

Testsigma

JANUARY 6, 2022

Robust and secure infrastructure saves the day. In such a case, the infrastructure is required to be robust and stable to provide 24*7 available testing environments for automation testing. These testing tools are available on the cloud and can be accessed from anywhere, hence they promote work from home. Signup now.

Testing 52

Testing Internet Internet Testing Tools 52

Particular Software

DECEMBER 9, 2019

I once had a client who started out with a very noncomplex server infrastructure. In an era before virtualized infrastructure made allocating additional server resources much easier, Public102 became somewhat of a "junk drawer" server. 100 and X.X.X.101 101 (Public100 and Public101 for short).

Wireless 52

Wireless DevOps Infrastructure Network 52

Dynatrace

MAY 28, 2020

Let me walk you through how I have built my Dynatrace Performance Insights Dashboard showing SLIs split by Test Name as well as SLIs for the specific technology and infrastructure: Enriching your load testing scripts with meta data allows building test context specific SLI-dashboards in Dynatrace. test name, test step.

Engineering 198

Engineering Performance Metrics Best Practices 198

Apica

SEPTEMBER 21, 2020

Deployment options in the cloud, on-premise, or hybrid configurations. Infrastructure setup. With Apica’s flexible deployment options, you can choose a full SaaS deployment, on-premise installation, a private cloud deployment to keep your data secure but accessible anywhere, and a hybrid configuration.

Monitoring 52

Monitoring Tuning Virtualization Cloud 52

The Agile Manager

NOVEMBER 30, 2020

These can be useful exercises, certainly to the business leaders who’ve got to find their customers or compete against rivals with slimmed down cost structures. Oracle provides the cloud infrastructure that Zoom operates on. But other companies are benefiting from this change and will want permanency of these new patterns.

Airlines 52

Airlines Retail C++ Transportation 52

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. The third team is the infrastructure platform team, who deal with datacenter and cloud based resources. However the more specific failure modes relate to the control planes for services hosted in cloud regions.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. The third team is the infrastructure platform team, who deal with datacenter and cloud based resources. However the more specific failure modes relate to the control planes for services hosted in cloud regions.

Latency 53

Latency Engineering Systems Hardware 53

The Morning Paper

JULY 4, 2019

Netflix’s system is deployed on the public cloud as complex set of interacting microservices. In this type of environment, there are many potential sources of failure, stemming from the infrastructure itself (e.g. In this type of environment, there are many potential sources of failure, stemming from the infrastructure itself (e.g.

Latency 77

Latency Engineering Metrics Traffic 77

The Agile Manager

DECEMBER 31, 2016

Employees will see replatforming as an exercise in re-creating software. Additionally, ambitious replatforming efforts lay bare deficiencies in organization, skills, capability, knowledge, process, and infrastructure. Aging infrastructure, cheap capital and a dearth of innovation have fueled consolidation in a variety of industries.

Innovation 40

Innovation Infrastructure Engineering Software 40

The Agile Manager

AUGUST 31, 2020

The exercise of assessing, modeling and dispositioning the landscape does offer valuable new ways of looking at legacy assets. It's one thing to redefine an operation from linear batch processes performed in an on-premise mainframe to parallel event queues in an elastic cloud. Several things stand out about these initiatives.

Architecture 52

Architecture Code Strategy Programming 52

The Netflix TechBlog

DECEMBER 3, 2019

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” Our job as a Machine Learning Infrastructure team would therefore not be mainly about enabling new technical feats.

Open Source 232

Open Source AWS Infrastructure Energy 232

The Netflix TechBlog

DECEMBER 3, 2019

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” Our job as a Machine Learning Infrastructure team would therefore not be mainly about enabling new technical feats.

Open Source 134

Open Source AWS Infrastructure Energy 134

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. What: The Modern Stack of ML Infrastructure. Adapted from the book Effective Data Science Infrastructure. Foundational Infrastructure Layers.

DevOps 137

DevOps Software Engineering Infrastructure Open Source 137

The Netflix TechBlog

DECEMBER 23, 2020

This, in turn, allows processes to exercise certain privileges without having any privileges in the init user namespace. Our Media Cloud Engineering team wanted to leverage containers for a new platform they were building, called Archer. The purpose of this filesystem is to provide access to our content for a variety of encoding tools.

Media 286

Media Metrics Systems Processing 286

O'Reilly Software

MARCH 7, 2018

Although the ideas of reactive and streaming are nowhere near new, and keeping in mind that mere novelty doesn’t imply greatness, it is safe to say they have proven themselves and matured enough to see many programming languages, platforms, and infrastructure products embrace them fully. AWS, Kafka, Google Cloud, Spring, ElasticSearch).

Transportation 72

Transportation Java Programming Architecture 72

All Things Distributed

OCTOBER 2, 2017

Our straining database infrastructure on Oracle led us to evaluate if we could develop a purpose-built database that would support our business needs for the long term. " Of course, no technology change happens in isolation, and at the same time NoSQL was evolving, so was cloud computing.

Internet 128

Internet Internet AWS Performance 128

All Things Distributed

NOVEMBER 15, 2010

Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances. Cluster GPU programming in the Cloud with the Amazon Web Services changes of all of that. Configuring kernel execution is not a trivial exercise and requires GPU device specific knowledge. Expanding the Cloud - The AWS Storage Gateway.

AWS 136

AWS Latency Programming Architecture 136