Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. 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 186

Performance DevOps Innovation Artificial Intelligence 186

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. Dynatrace news. SRE focuses on automation. SRE requires a cultural change.

Engineering 254

Engineering DevOps Government Latency 254

The Netflix TechBlog

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

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. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

Engineering 176

Engineering DevOps Government Latency 176

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. 6: Platform engineering becomes mission-critical. Technology prediction No.

Technology 203

Technology Technology Artificial Intelligence Analytics 203

Dynatrace

MAY 16, 2019

In this blog series we’ll share what we’ve learned so far. Learning #1: To a large extent, development teams still rely heavily on Operations engineers. According to our survey, on average, four developers have one Operations engineer to support them. Where do you want to spend your time and money? How to get started.

Innovation 187

Innovation Cloud DevOps Best Practices 187

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 203

DevOps Metrics Engineering Analytics 203

Dynatrace

NOVEMBER 2, 2023

Digital transformation has significantly increased the organizational demand to innovate faster. As a result, organizations are investing in DevOps automation to meet the need for faster, more reliable innovation. Moreover, it takes an average of nine hours for a software engineer to remediate a problem within a production application.

DevOps 205

DevOps Benchmarking Azure Innovation 205

The Netflix TechBlog

NOVEMBER 17, 2022

In this tech blog, we describe how we improved Netflix video quality with neural networks, the challenges we faced and what lies ahead. While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency.

Network 292

Network Media Innovation Efficiency 292

Dynatrace

JANUARY 13, 2022

More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. Reducing fragmentation enables DevOps and site reliability engineering (SRE) teams to work in a unified way to ensure code quality and security. They need automated DevOps practices.

DevOps 267

DevOps Speed Artificial Intelligence Innovation 267

The Netflix TechBlog

NOVEMBER 11, 2022

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?

Media 239

Media Virtualization Efficiency Innovation 239

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources.

Cache 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

MARCH 8, 2022

At the conference, Dynatrace made several announcements to empower its game-changing community of engineers, developers and security pros. These enhancements help development teams bring higher quality and more secure innovations to market faster and with greater efficiency. “We Dynatrace Delivers Software Intelligence as Code.

Code 182

Code Software Software Serverless 182

Dynatrace

NOVEMBER 9, 2022

For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting mired in managing IT infrastructure as the organization scales. . – blog .

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

MAY 24, 2023

Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. To learn more about Azure Linux container host for AKS read Microsoft’s blog. What is Azure Linux?

Azure 226

Azure Monitoring Operating System Virtualization 226

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. This approach ensures data processing is both efficient and accurate. Now, let’s explore the state of our pipelines after incorporating Psyberg.

Tuning 244

Tuning Processing C++ Efficiency 244

Dynatrace

MARCH 14, 2022

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. 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.

Healthcare 227

Healthcare Artificial Intelligence Innovation Strategy 227

The Netflix TechBlog

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. In the Efficiency space, our data teams focus on transparency and optimization.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Strategic Tech

MARCH 26, 2019

You will be handing the initiative to your competitors who invested in their software development capabilities and are out-innovating you as a result. How do I create high performing teams to out-innovate the competition? In fact, there are near infinite ways to solve every software engineering challenging. What do I measure?

Software Engineering 76

Software Engineering Engineering Software Software 76

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. This requires significant data engineering efforts, as well as work to build machine-learning models.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

APRIL 28, 2020

Our explainable AI engine , Davis ™ , which is built into the core of the Dynatrace platform, proactively delivers precise answers to system degradations and performance anomalies , and automatically prioritizes these based on business impact. . Our employees listen carefully to our customers and innovate continuously.

DevOps 243

DevOps Innovation Monitoring Analytics 243

Dynatrace

FEBRUARY 8, 2021

Putting logs into context with metrics, traces, and the broader application topology enables and improves how companies manage their cloud architectures, platforms and infrastructure, optimizing applications and remediate incidents in a highly efficient way. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

JULY 25, 2022

Automate cloud operations and trigger remediation workflow to enhance efficiency. Dynatrace uses your data and its sophisticated AI causation engine Davis® to automatically detect performance anomalies in applications, services, and infrastructure. Dynatrace is committed to innovation and leading the way in cloud computing.

AWS 218

AWS Transportation Network Traffic 218

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. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. DevOps/DevSecOps with AWS.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

MAY 26, 2021

From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. This blog dives into what we learned by listening to experts in the field and the key takeaways we gathered from the talks. A recurring theme was Site Reliability Engineering. Dynatrace news.

AWS 212

AWS Strategy Storage Metrics 212

Dynatrace

NOVEMBER 10, 2020

Dynatrace provides out-of-the-box distributed tracing for Kubernetes and Google App Engine stacks, as well as full-stack Kubernetes Container Optimized OS support. With its improved GCP capabilities, Dynatrace helps you move workloads to the cloud, build great applications, and drive innovation in hybrid and multi-cloud environments.

Google 220

Google Cloud Serverless Innovation 220

Dynatrace

OCTOBER 20, 2020

Under intense pressure to transform in response to digitization trends and rising consumer expectations, Porsche Informatik needed a way to push its leading edge – to innovate faster, drastically reduce their time to market, and enhance the overall user experience. That’s where Red Hat OpenShift came into play.

Automotive 154

Automotive DevOps Software Software 154

Dynatrace

MARCH 10, 2021

We are moving into the 2020s and smart integration and automation are driving the next innovation cycle in digital transformation and enterprise software. This is immensely powerful, and while it can cut through noise and give you precise answers and more – it can also help you move innovatively forward by enabling automated IT operations.

AWS 144

AWS Cloud Artificial Intelligence Innovation 144

Dynatrace

APRIL 15, 2022

But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. “Second, we wanted to improve our rollout of the DevSecOps capability, as well as improve our agility and our ability to innovate faster.” Development teams can innovate faster with higher quality.

Cloud 177

Cloud Infrastructure Innovation Monitoring 177

Dynatrace

AUGUST 16, 2023

For most organizations, online service reliability that balances innovation and uptime is a primary goal. An error budget encourages a healthy trade-off between innovation and reliability. The Dynatrace approach brings all the data into a unified platform and converges SLOs with our causal AI engine, Davis®.

Monitoring 185

Monitoring DevOps Metrics Innovation 185

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 236

Performance Analytics Mobile Innovation 236

Dynatrace

MAY 26, 2021

From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. This blog dives into what we learned by listening to experts in the field and the key takeaways we gathered from the talks. A recurring theme was Site Reliability Engineering. Dynatrace news.

AWS 147

AWS Strategy Storage Metrics 147

Dynatrace

MAY 13, 2020

Your relentless innovation, creativity, and pursuit of ‘better’ is what we believe drives Dynatrace forward. That is why we re-built our platform with our AI-assistance engine, Davis™, built at the core. But first, I’d like to recognize and thank all our Dynatrace partners for your role in our success. Accelerated transformation.

Energy 139

Energy Innovation Analytics Monitoring 139

Dynatrace

MARCH 17, 2021

Application security is a software engineering term that refers to several different types of security practices designed to ensure applications do not contain vulnerabilities that could allow illicit access to sensitive data, unauthorized code modification, or resource hijacking. Dynatrace news. Results, unfortunately, have been mixed.

Open Source 166

Open Source Cloud Games Java 166

The Netflix TechBlog

AUGUST 28, 2020

Since then, we’ve developed algorithms such as per-title encode optimizations and per-shot dynamic optimization , but these innovations were not back-ported on these premium bitstreams. We’ve worked hard over the last year to leapfrog to our most advanced encoding innovations?—?shot-optimized 8, 10, 12 and 16 Mbps?—?regardless

Network 330

Network Storage Innovation Mobile 330

Dynatrace

FEBRUARY 6, 2020

To do that, Anita’s team drove innovation around a common delivery pipeline to enable developers automating operational tasks such as runbook execution to solve infrastructure problems. This eliminates duplicated work and makes our teams more efficient as they can build value vs supporting tools and therefore allows us to scale.

Cloud 184

Cloud DevOps Engineering Speed 184

Dynatrace

AUGUST 9, 2019

Welcome back to the blog series in which we summarize the findings of our Autonomous Cloud Management survey. By looking at the responses, we found that teams fall into one of three categories: Innovators: CCT between 1 hour – 2 days. So, what separates the innovators from the laggards? Dynatrace news. How to get started?

Speed 115

Speed Innovation DevOps Cloud 115