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 170

Engineering DevOps Government Latency 170

ACM Sigarch

OCTOBER 10, 2022

Although, only recently the security attacks on quantum computers have begun to be demonstrated, this brings to the forefront the need to consider security of quantum computer architectures as a first-class design objective. Given their promise, these computers are available, in some cases even freely, for access as cloud-based devices.

Architecture 72

Architecture Hardware Programming Cloud 72

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments. What is explainable AI?

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

SEPTEMBER 30, 2021

More organizations than ever are undertaking cloud migration as digital transformation continues to gain momentum across every industry in every region. But what does it take to migrate your existing applications to the cloud? What is cloud migration? However, it can also mean migrating from one cloud to another.

Cloud 160

Cloud Traffic Best Practices Strategy 160

Dynatrace

JULY 13, 2022

Arm architecture. Today, Google announced virtual machines (VMs) based on the Arm architecture on Compute Engine called Tau T2A , which are optimized for cost-effective performance for scale-out workloads, as well as GKE Arm. Meet Davis, our powerful AI-engine | Dynatrace. For some, that means looking to the?

Google 226

Google Infrastructure Architecture Engineering 226

Dynatrace

MAY 5, 2021

OneAgent technology simplifies deployment across large enterprises and relieves engineers of the burden of instrumenting their applications by hand. Observability should be as cloud-native as Kubernetes itself. The post New Dynatrace Operator elevates cloud-native observability for Kubernetes appeared first on Dynatrace blog.

Cloud 218

Cloud Traffic Monitoring Open Source 218

Dynatrace

OCTOBER 14, 2020

Dynatrace enables our customers to monitor and optimize their cloud infrastructure and applications through the Dynatrace Software Intelligence Platform. For that reason, we started a simple load-test scenario where we flooded our event-based system with 100 cloud-events per minute.

Cloud 222

Cloud Development Open Source Monitoring 222

Brendan Gregg

JULY 15, 2020

I've received feedback that it is useful, not just for learning performance, but also for showing how computers work internally: essential knowledge for all engineers. It is written by a more experienced version of myself than I was for the first edition, including my six years of experience as a senior performance engineer at Netfilx.

Systems 145

Systems Cloud Performance Tuning 145

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. What is a data lakehouse?

Efficiency 268

Efficiency Performance Analytics DevOps 268

Uber Engineering

SEPTEMBER 29, 2021

a driver starting a trip) and system actions … The post Building Uber’s Fulfillment Platform for Planet-Scale using Google Cloud Spanner appeared first on Uber Engineering Blog. The platform handles billions of database transactions each day, ranging from user actions (e.g.,

Google 141

Google Cloud Engineering Database 141

Testsigma

NOVEMBER 18, 2021

George Ukkuru is a seasoned technocrat and AVP of quality engineering, DevOps, and SRE @Marlabs Inc. He has also authored a number of books on quality engineering and test automation. Engineers should also integrate and execute API-based performance tests and SAST/DAST scans to the DevOps pipeline. Work towards improving them.

Engineering 104

Engineering Social Media DevOps Azure 104

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. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Many organizations face significant challenges in pursuing their cloud migration initiatives, which often accompany or precede AI initiatives. Service reliability.

Cache 199

Cache Azure Infrastructure Monitoring 199

Dynatrace

MARCH 10, 2021

This is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments. Conventional (not built for cloud) monitoring tools are not much help. And then add in that modern enterprise cloud environments are dynamic and constantly changing.

AWS 142

AWS Cloud Artificial Intelligence Innovation 142

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. Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler.

Network 292

Network Media Innovation Efficiency 292

Dynatrace

MARCH 8, 2022

Modern observability that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. At the conference, Dynatrace made several announcements to empower its game-changing community of engineers, developers and security pros. Dynatrace Delivers Software Intelligence as Code.

Code 175

Code Software Software Serverless 175

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 245

Analytics Open Source Serverless Architecture 245

Dynatrace

MARCH 3, 2020

By 2023, over 500 million digital apps and services will be developed and deployed using cloud-native approaches. For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. Performance-as-a-self-service . Here is the definition of this model: ?.

Performance 236

Performance Education Innovation Software Architecture 236

Dynatrace

JULY 7, 2022

But as IT teams increasingly design and manage cloud-native technologies, the tasks IT pros need to accomplish are equally variable and complex. The framework forms the basis of the SAE (Society of Automotive Engineers) automation levels 1 through 5 for cars. Think’ with artificial intelligence. Act’ with AIOps.

Artificial Intelligence 174

Artificial Intelligence Automotive DevOps Infrastructure 174

Dynatrace

JANUARY 17, 2023

This results in site reliability engineers nudging development teams to add resource attributes, endpoints, and tokens to their source code. Kubernetes teams lack simple, consistent, vendor-agnostic architectures for analyzing observability signals across teams. Code changes are often required to refine observability data.

Analytics 272

Analytics Metrics Open Source Java 272

Dynatrace

JULY 6, 2020

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Dynatrace news. Deeper visibility and more precise answers.

Azure 145

Azure Cloud Big Data Virtualization 145

Dynatrace

NOVEMBER 9, 2021

The theme for the event focused on ‘APM to Observability’, which we’ll recap shortly within this blog. The driver for APM to Observability is the complexity cloud environments bring to organizations. The cloud is where Enterprise organizations are transforming, and dynamic multi-clouds are the platform of choice.

DevOps 210

DevOps Innovation Cloud Programming 210

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. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Dynatrace

MAY 24, 2023

The core operating system has a lightweight footprint of only a few hundred MBs when uncompressed, yet it is powerful enough to support various profiles, including x64 or Arm64-based architectures. Modern cloud done right. To learn more about Azure Linux container host for AKS read Microsoft’s blog.

Azure 220

Azure Monitoring Operating System Virtualization 220

Dynatrace

FEBRUARY 10, 2022

Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. That ushers in IT complexity. This precision reduces wasted motion and accelerates response times.

Artificial Intelligence 180

Artificial Intelligence Performance Innovation Speed 180

Dynatrace

AUGUST 16, 2021

Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. awareness ?

Software 246

Software Software Open Source Azure 246

Dynatrace

NOVEMBER 1, 2021

This blog will run through everything you need to know about the Dynatrace/PTC partnership and how Dynatrace can provide more visibility into your PTC environment. Cloud and new stack. With all this data, OneAgent provides instant answers with precise causation for dynamic architectures. Davis AI and automation.

Innovation 197

Innovation Monitoring Infrastructure Servers 197

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. appeared first on Dynatrace blog. How does IT automation work?

Artificial Intelligence 182

Artificial Intelligence Tuning Strategy Big Data 182

Dynatrace

OCTOBER 6, 2020

Observability as a topic is becoming more important as applications are using microservice architectures and are deployed in Kubernetes environments. Shortly after applying the heavy load, Davis, the Dynatrace AI engine, notified me of a problem. Dynatrace news. The setup . The service flow . Conclusion.

Metrics 195

Metrics Architecture Engineering Cloud 195

Brendan Gregg

JULY 14, 2020

I've received feedback that it is useful, not just for learning performance, but also for showing how computers work internally: essential knowledge for all engineers. It is written by a more experienced version of myself than I was for the first edition, including my six years of experience as a senior performance engineer at Netflix.

Systems 52

Systems Cloud Performance Tuning 52

Brendan Gregg

JULY 14, 2020

I've received feedback that it is useful, not just for learning performance, but also for showing how computers work internally: essential knowledge for all engineers. It is written by a more experienced version of myself than I was for the first edition, including my six years of experience as a senior performance engineer at Netflix.

Systems 52

Systems Cloud Performance Tuning 52

Dynatrace

MAY 19, 2022

A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). Example 1: Architecture boundaries. First, they took a big step back and looked at their end-to-end architecture (Figure 2). SLO dashboard defined by architectural boundary. So, what did they do?

Automotive 263

Automotive Latency Architecture Azure 263

Dynatrace

APRIL 21, 2022

With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale. The post Intelligent observability for Oracle and SQL databases appeared first on Dynatrace blog.

Database 237

Database DevOps Analytics Servers 237

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 205

AWS Strategy Storage Metrics 205

Dynatrace

SEPTEMBER 2, 2020

The same IDC report also projects that by 2023, half of enterprise applications will be deployed in containerized hybrid-cloud or multicloud environments. The post Dynatrace and TechCrunch reveal why AI-powered observability and continuous automation are crucial for digital transformation appeared first on Dynatrace blog.

Education 173

Education Strategy Innovation Website 173