Dynatrace

OCTOBER 4, 2022

The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. The performance of these queries needs to be at a level where they can support ad-hoc analytics use cases. Support diverse analytics workloads. Massively parallel processing.

Artificial Intelligence 214

Artificial Intelligence Storage Analytics Government 214

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JULY 11, 2023

Red Hat OpenShift monitoring with Dynatrace stands out due to the following key aspects: Infrastructure health monitoring and optimization: Assess the status of your infrastructure at a glance, understand resource consumption, optimize resource allocation for cost-efficiency, and track software versions running within the Kubernetes environment.

Architecture 174

Architecture Availability Infrastructure Monitoring 174

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Dynatrace AWS monitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage.

Analytics 246

Analytics Infrastructure AWS Operating System 246

The Netflix TechBlog

MARCH 7, 2019

To unlock these innovations we are making a strategic choice that our focus should be geared towards developing the surrounding infrastructure so that scientists’ work can be easily absorbed into the wider Netflix Experimentation Platform. It also allows them to see where the opportunities are to insert new code.

Engineering 174

Engineering Design Innovation Java 174

Dynatrace

NOVEMBER 22, 2021

Because of its matrix of cloud services across multiple environments, AWS and other multicloud environments can be more difficult to manage and monitor compared with traditional on-premises infrastructure. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale.

Best Practices 217

Best Practices AWS Monitoring Serverless 217

Dynatrace

JUNE 6, 2023

Container Network Interface (CNI) provides a common way to seamlessly integrate various technologies with the underlying Kubernetes infrastructure. Therefore, they are built to be non-persistent by design. AI-powered analytics. Containers need to spin up and down easily. Acceleration of innovation.

Open Source 198

Open Source Storage Analytics Innovation 198

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens. Dynatrace provides analytics and automation for unified observability and security.

Government 209

Government Infrastructure Programming Cloud 209

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 189

DevOps Analytics Storage Metrics 189

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. The architects and developers who create the software must design it to be observed. Benefits of observability.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JULY 10, 2023

Director of infrastructure, software sector “ Strong technology and stronger people. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation.

Monitoring 225

Monitoring Retail Performance Government 225

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Simplify error analytics. AWS Lambda is one of the most popular serverless compute services in the market. Optimize timing hotspots.

Lambda 170

Lambda AWS Serverless Infrastructure 170

Dynatrace

NOVEMBER 10, 2022

This architectural method encompasses software containers, service meshes, microservices , immutable infrastructure, and declarative APIs to create an environment that is inherently scalable, extendable, and easy to manage through automation. Immutable infrastructure. The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors.

Cloud 214

Cloud Energy Best Practices Cache 214

Dynatrace

NOVEMBER 8, 2021

.” In its 2021 Magic Quadrant™ for Application Performance Monitoring, Gartner® defines APM as “Software that enables the observation of application behavior and its infrastructure dependencies, users and business key performance indicators (KPIs) throughout the application’s life cycle. Application performance insights.

Artificial Intelligence 236

Artificial Intelligence Monitoring Infrastructure Cloud 236

Dynatrace

SEPTEMBER 28, 2020

As part of the Cloud – Native Container Services report, ISG designed the Cloud-Native Observability Quadrant to help organizations select the best observability solution for cloud-native environments that use Kubernetes, service mesh, microservices, and serverless architectures.

Cloud 245

Cloud Serverless Innovation Architecture 245

Dynatrace

JULY 24, 2023

For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts. This event-driven automation triggers the action of sending the discount code only when the customer abandons the cart abandonment, minimizing revenue loss and increasing conversion rates.

DevOps 225

DevOps Traffic Efficiency Servers 225

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights , includin g: . But there are other related components and processes ( for example, cloud provider infrastructure ) that can cause problems in applications running on Kubernetes. Monitoring your i nfrastructure .

Analytics 135

Analytics Infrastructure AWS Operating System 135

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Simplify error analytics. AWS Lambda is one of the most popular serverless compute services in the market. Optimize timing hotspots.

Lambda 130

Lambda AWS Serverless Infrastructure 130

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Typically, organizations build specialized infrastructure for each of these use cases. This, however, creates silos of data and processing, and results in a complex, expensive, and harder to maintain infrastructure. VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

DECEMBER 9, 2021

Many application security products were designed before the rise of DevSecOps, containers, Kubernetes, and multicloud environments and so can’t keep up with rapid changes in these environments. Lack of context —most vulnerability scanners don’t provide runtime context and key information like whether vulnerable code is used at runtime.

Social Media 192

Social Media Open Source Media Cloud 192

The Netflix TechBlog

APRIL 29, 2019

An easy, though imprecise, way of thinking about Netflix infrastructure is that everything that happens before you press Play on your remote control (e.g., Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. are you logged in?

Open Source 279

Open Source Network Infrastructure Big Data 279

The Netflix TechBlog

JANUARY 10, 2024

When Reloaded was designed, we focused on a single use case: converting high-quality media files (also known as mezzanines) received from studios into compressed assets for Netflix streaming. Thus, depending on when the code change was merged, it could take anywhere between two and four weeks to reach production.

Processing 229

Processing Media Latency Innovation 229

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. And this poses a significant risk.

Government 231

Government DevOps Infrastructure Network 231

The Netflix TechBlog

DECEMBER 3, 2022

One of the main reasons this feature exists is just like with food samples, to give you “a taste” of the production quality ETL code that you could encounter inside the Netflix data ecosystem. " , country_code STRING COMMENT "Country code of the playback session." This is one way to build trust with our internal user base.

Best Practices 358

Best Practices Code Testing Data Engineering 358

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Fully conceptualizing capacity requirements.

AWS 146

AWS Artificial Intelligence Best Practices Lambda 146

Dynatrace

DECEMBER 20, 2021

What users see in their browser window and the underlying HTML code are both governed by the DOM, which creates a tree-like structure for all HTML elements. Once you can see where users are having trouble, you can trace back actions to connected elements of underlying code and reduce the time from identifying an issue to resolving it.

Mobile 251

Mobile Website Analytics Cache 251

The Netflix TechBlog

MARCH 2, 2021

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. We talked to scientists from areas like Payments & Partnerships, Content & Marketing Analytics Research, Content Valuation, Customer Service, Product Innovation, and Studio Production.

Analytics 207

Analytics C++ Innovation Engineering 207

Dynatrace

JANUARY 23, 2024

Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. And the ability to easily create custom apps enables teams to do any analytics at any time for any use case. What is platform engineering? Join us for Dynatrace Perform 2024.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

High Scalability

FEBRUARY 19, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. Register for the webinar today. Learn more and join today.

Software 125

Software Software Analytics Infrastructure 125

High Scalability

MARCH 19, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. Register for the webinar today. Learn more and join today.

Software 122

Software Software Analytics Infrastructure 122

The Morning Paper

JUNE 6, 2019

Towards federated learning at scale: system design Bonawitz et al., FL is one instance of the more general approach of “bringing the code to the data, instead of the data to the code” and addresses the fundamental problems of privacy, ownership, and locality of data. SysML 2019. Use cases so far.

Systems 71

Systems Design Google Servers 71

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. User Experience and Business Analytics ery user journey and maximize business KPIs. From APM to full-stack monitoring.

Artificial Intelligence 184

Artificial Intelligence Social Media Monitoring IoT 184

High Scalability

MARCH 5, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. Register for the webinar today. Learn more and join today.

Software 116

Software Software Analytics Infrastructure 116

Dynatrace

DECEMBER 2, 2021

Organizations commonly use SLOs in production environments to ensure released code stays within error budgets. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release, and where engineers should focus their time. What are error budgets?

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

Dynatrace

OCTOBER 17, 2023

Grail is designed for scalability, with no technical prerequisites or additional hosting and storage costs as ingestion rates increase. Enhanced code-level visibility. Dynatrace provided invaluable code-level visibility into issues, leading to faster MTTR. Increased data ingestion at reduced costs. 1 million in savings.

Retail 242

Retail Storage Best Practices Architecture 242