Dynatrace

MARCH 6, 2024

IBM i, formerly known as iSeries, is an operating system developed by IBM for its line of IBM i Power Systems servers. It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. Some tools demand the installation of agents on those systems and provide complex, disconnected views.

Monitoring 233

Monitoring Infrastructure Metrics Analytics 233

The Morning Paper

JUNE 6, 2019

Towards federated learning at scale: system design Bonawitz et al., This is a high level paper describing Google’s production system for federated learning. The FL system contains a number of privacy-enhancing building blocks, but the privacy guarantees of any end-to-end system will always depend on how they are used.

Systems 71

Systems Design Google Servers 71

DZone

OCTOBER 11, 2022

Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Linux System Mining with Python ( Javalobby – The heart of the Java developer community). Hacker News).

Java 244

Java Best Practices Google Analytics 244

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

FEBRUARY 9, 2024

Recent platform enhancements in the latest Dynatrace, including business events powered by Grail™, make accessing the goldmine of business data flowing through your IT systems easier than ever. Business events can come from many sources, including OneAgent®, external business systems, RUM sessions, or log files.

Processing 188

Processing Monitoring Analytics Games 188

DZone

JANUARY 13, 2023

Using some sample data sets, you will learn how designated timestamps work and how to use extended SQL syntax to write queries on time-series data. For this reason, time-series analytics have proved critical for making sense of real-time market data in financial services, sensor data from IoT devices, and application metrics.

IoT 174

IoT Analytics Database Metrics 174

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 182

DevOps Analytics Storage Metrics 182

Testlodge

NOVEMBER 1, 2021

For example, it’s usual for software to have been designed with a specific use in mind, but the user doesn’t always understand the same way as the developers and testers. ” Destructive testing is a method that uses the system in a way other than intended to make the software program deliberately fail. Automated Tools.

Systems 81

Systems Testing Software Software 81

The Netflix TechBlog

MAY 28, 2021

Part of our series on who works in Analytics at Netflix?—?and Upon graduation, they received an offer from Netflix to become an analytics engineer, and pursue their lifelong dream of orchestrating the beautiful synergy of analytics and entertainment. That person grew up dreaming of working in the entertainment industry.

Healthcare 200

Healthcare Entertainment Analytics Programming 200

Dynatrace

JUNE 14, 2023

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. This digital transformation journey requires AI-powered answers and intelligent automation that legacy systems can’t deliver.

Programming 179

Programming Analytics Innovation Best Practices 179

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. I also built online serving systems and microservices powering Walmart’s e-commerce. Moreover, its petabyte scale also brings unique engineering challenges.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

SEPTEMBER 13, 2023

Many companies rely on Citrix as a critical component of their infrastructure that demands thorough observability and integrated analytics across the entire application landscape. Automated AI-powered analytics are necessary to match the scale of monitoring these enterprises require.

Monitoring 219

Monitoring Healthcare Infrastructure Metrics 219

DZone

APRIL 26, 2022

This is a republish of a blog on VentureBeat by Wei Li, Intel VP/GM, AI and Analytics (AIA). An equally important aspect of this AI growth equation is the ever-expanding demands it places on computer system requirements to deliver higher AI performance.

Software 130

Software Software Performance Hardware 130

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 170

Cloud Ecommerce Performance Retail 170

Dynatrace

MARCH 22, 2023

Insecure design This broad category refers to fundamental design flaws in the application caused by a failure to implement necessary security controls during the design stage. Use a safe development life cycle with secure design patterns and components. Apply threat modeling and plausibility checks.

Open Source 196

Open Source Artificial Intelligence Internet Internet 196

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Dynatrace provides end-to-end observability of AI applications As AI systems grow in complexity, a holistic approach to the observability of AI-powered applications becomes even more crucial.

Cache 203

Cache Azure Infrastructure Monitoring 203

Dynatrace

NOVEMBER 22, 2021

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale. Dynatrace news. Amazon EC2.

Best Practices 210

Best Practices AWS Monitoring Serverless 210

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 202

Government Infrastructure Programming Cloud 202

Dynatrace

NOVEMBER 2, 2022

This methodology combines software design, development, automation, operations, and analytics to boost customer experience, increase application security, and reduce downtime that affects business outcomes. This shift often requires more frequent software releases with built-in measures that ensure a strong digital immune system.

Software 194

Software Software Artificial Intelligence DevOps 194

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Given our role on this critical path, accuracy is paramount.

Data Engineering 264

Data Engineering Engineering Processing Games 264

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 201

Artificial Intelligence DevOps Hardware Virtualization 201

Dynatrace

DECEMBER 20, 2022

Designed for modern and dynamic environments, Dynatrace is a leader in both competitive strength and portfolio attractiveness. Observability is often thought of as analyzing a system’s current state using a combination of logs, metrics, and traces. ISG recognizes Dynatrace’s advanced cloud-native observability capabilities.

Cloud 130

Cloud Serverless Open Source Analytics 130

Dynatrace

SEPTEMBER 30, 2021

The list of AWS certifications below shows there are two main AWS certification types: Core and Specialty, six classified as Core AWS Certifications, and five designated as Specialty AWS Certifications. Data analytics. As of June 2021, Amazon currently offers 11 certifications. Core AWS certifications. Then this one’s for you.

AWS 207

AWS Best Practices Analytics Cloud 207

Dynatrace

OCTOBER 17, 2023

Moreover, the system lacks flexibility, imposing strict schemas that administrators and developers must adhere to avoid additional costs. Grail is designed for scalability, with no technical prerequisites or additional hosting and storage costs as ingestion rates increase. Transparency.

Retail 235

Retail Storage Best Practices Architecture 235

Dynatrace

SEPTEMBER 13, 2023

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. This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 245

AWS Efficiency Azure Cloud 245

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. StatsD is a widely adopted metric protocol for collecting, aggregating, and sending developer-defined application metrics to separate systems for graphical analysis. Davis AI analyzes your StatsD metrics. Stay tuned. Seeing is believing.

Open Source 254

Open Source Metrics Analytics Tuning 254

Dynatrace

APRIL 28, 2020

In addition to APM , th is platform offers our customers infrastructure monitoring spanning logs and metrics, digital business analytics, digital experience monitoring, and AIOps capabilities. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact.

DevOps 242

DevOps Innovation Monitoring Analytics 242

Dynatrace

NOVEMBER 8, 2021

Organizations use APM to ensure system availability, optimize service performance and response times, and improve user experiences. ” APM vendors originally designed their solutions to quickly identify application performance issues in monolithic on-premises apps. APM solutions: A primer. Insight into business KPIs.

Artificial Intelligence 231

Artificial Intelligence Monitoring Infrastructure Cloud 231

All Things Distributed

AUGUST 18, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud.

Big Data 111

Big Data Analytics AWS Cloud 111

Dynatrace

APRIL 26, 2022

EM gives visibility into the user device and performance from the endpoint to provide information on CPU, memory, operating systems, storage, security, networks, and whether software is up to date. Endpoint monitoring (EM). Endpoints can be physical (i.e., PC, smartphone, server) or virtual (virtual machines, cloud gateways).

Monitoring 202

Monitoring Social Media IoT Metrics 202

Dynatrace

DECEMBER 20, 2021

Improved analytic context. While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing. Conversely, if users encounter functional issues or poor UI design that frustrate common actions, replays provide clear evidence.

Mobile 245

Mobile Website Analytics Cache 245

Dynatrace

OCTOBER 4, 2022

Organizations need to unify all this observability, business, and security data based on context and generate real-time insights to inform actions taken by automation systems, as well as business, development, operations, and security teams. The next frontier: Data and analytics-centric software intelligence. Event severity.

Analytics 189

Analytics Software Software Storage 189

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 today.

Software 125

Software Software Analytics Infrastructure 125

Dynatrace

MAY 2, 2024

2] — Nader Henein, VP Analyst, Gartner The Privacy Rights app is designed to streamline this process in Dynatrace. Once the data in Grail that matches the run query is returned, a second authorized user reviews the results in terms of volume (the number of log records, volume, data residency, and the number of systems).

Tuning 223

Tuning Scalability Efficiency Processing 223

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 today.

Software 122

Software Software Analytics Infrastructure 122

Dynatrace

JANUARY 23, 2024

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. And the ability to easily create custom apps enables teams to do any analytics at any time for any use case. As organizations adopt more AI technologies, the associated costs are skyrocketing.

Performance 184

Performance DevOps Innovation Artificial Intelligence 184