Dynatrace

APRIL 30, 2019

At Neotys PAC 2019 in Chamonix, France, I presented approaches on how to solve this problem by looking at examples from companies such as Intuit, Dynatrace, Google, Netflix, T-Systems and others. The outcome of the presentation and the follow up discussions at Neotys PAC lead to Pitometer! appeared first on Dynatrace blog.

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

JANUARY 31, 2024

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. SAP Basis teams have established best practices for managing their SAP systems.

Java 182

Java Analytics Best Practices Monitoring 182

InfoQ

JUNE 23, 2023

Frank Yu discusses how to decrease bandwidth usage and buffering across the system, protect against thundering herd problems, and simplify the logic of gateway and persistence services. By Frank Yu

Systems 52

Systems Design Scalability Architecture 52

InfoQ

APRIL 26, 2024

Lily Mara, Hunter Laine walk through the design of a system, its performance characteristics, and how they scaled it. By Lily Mara, Hunter Laine

Design 89

Design Systems Performance Scalability 89

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. The architecture usually integrates several private, public, and on-premises infrastructures. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

FEBRUARY 26, 2024

During the Dynatrace annual user conference, Perform , the Partner Summit session returned, welcoming Global System Integrators (GSIs), Hyperscalers, and Cloud Solutions Partners to participate. Partners play a crucial role in driving cloud migrations and digital transformation for customers, ensuring return on their investments are realized.

Artificial Intelligence 186

Artificial Intelligence IoT Programming Innovation 186

Alex Podelko

OCTOBER 20, 2016

New Architectures (this post). Cloud seriously impacts system architectures that has a lot of performance-related consequences. First, we have a shift to centrally managed systems. Software as a Service’ (SaaS) basically are centrally managed systems with multiple tenants/instances. . – Agile.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

Dynatrace

MAY 2, 2024

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. At this year’s RSA conference, taking place in San Francisco from May 6-9, presenters will explore ideas such as redefining security in the age of AI.

Artificial Intelligence 222

Artificial Intelligence Cloud Best Practices DevOps 222

The Netflix TechBlog

NOVEMBER 13, 2023

Iroro Orife , Chih-Wei Wu and Yun-Ning (Amy) Hung Introduction When you enjoy the latest season of Stranger Things or Casa de Papel (Money Heist) , have you ever wondered about the secrets to fantastic story-telling, besides the stunning visual presentation?

Architecture 224

Architecture Energy Benchmarking Processing 224

Dynatrace

DECEMBER 13, 2023

By deploying applications as many separate microservices managed by Kubernetes, these environments can become complicated, especially if the organization has a multi-cloud, hybrid-cloud architecture, or is using elements of a legacy-cloud environment.

Google 218

Google Cloud Infrastructure Metrics 218

Strategic Tech

JULY 21, 2020

Most organisations go through an architecture modernisation effort at some point as their systems drift into a state of intolerable maintenance costs and they diverge too far from modern technological advances. What architecture will be optimal for enabling that business vision? How are we going to deliver the new architecture?

Architecture 98

Architecture Design Software Architecture Strategy 98

Adrian Cockcroft

JANUARY 20, 2023

on Myths and Legends of High Performance Computing  — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. Next generation architectures will use CXL3.0 HPCG is led by Japan’s RIKEN Fugaku system at 16 petaflops, which is 3% of it’s peak capacity.

Architecture 52

Architecture Latency Benchmarking AWS 52

Dynatrace

JANUARY 23, 2024

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models. What will the new architecture be?

Cloud 204

Cloud Artificial Intelligence Performance AWS 204

The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! In other words, false positives are bad but false negatives are the absolute worst!

Storage 288

Storage Cache Metrics Database 288

Dynatrace

JANUARY 18, 2024

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. Decision trees and dashboards are two common visualization methods that present complex data in an easily readable format. Therefore, organizations need new capabilities, such as explainable AI, now more than ever.

Artificial Intelligence 206

Artificial Intelligence Healthcare Government Technology 206

Strategic Tech

JUNE 2, 2021

Modernizing an architecture usually take years. Even a decade or more is nothing out of the ordinary for large organizations who have accumulated legacy and heritage systems over long periods of time. As a result, there can be pressure to begin modernizing a part of the system that will have a clear business impact.

Architecture 52

Architecture Infrastructure Technology Technology 52

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Technology systems are difficult to wrangle. Our systems grow in accidental complexity and complication over time. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved.

Strategy 100

Strategy Architecture Technology Technology 100

DZone

DECEMBER 28, 2020

The system could work efficiently with a specific number of concurrent users; however, it may get dysfunctional with extra loads during peak traffic. With rising competition in the digital world and the requirement to be present in the top rank of the category, makes performance tests crucial for companies.

Performance Testing 220

Performance Testing Testing Tools Testing Performance 220

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

JANUARY 31, 2024

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 199

Cache Azure Infrastructure Monitoring 199

The Netflix TechBlog

AUGUST 24, 2022

Working within the time budget introduces an extra resource constraint for the recommender system. It is important to point out that the user’s time budget, like their preferences, may not be directly observable and the recommender system may have to learn that in addition to the user’s latent preferences.

Metrics 178

Metrics Systems Architecture Processing 178

Dynatrace

JANUARY 16, 2023

As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022.

Open Source 337

Open Source Java Operating System Programming 337

ACM Sigarch

APRIL 8, 2019

Computer architecture is an important and exciting field of computer science, which enables many other fields (eg. For those of us who pursued computer architecture as a career, this is well understood. Below we present some thoughts on the why and one solution to address the issue. Why is that? Lack of Exposure.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. Nevertheless, this integration can present certain challenges to organizations.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Strategic Tech

DECEMBER 29, 2020

The systems we build are composed of many pieces. How should we slice up the system and divide responsibilities among teams in our organisation? In Part 1 of this series, a shared language was proposed to accurately describe different elements of a business’s architecture. From mobile apps, to domains, to user journeys.

Architecture 59

Architecture Design Mobile Systems 59

Adrian Cockcroft

JANUARY 17, 2022

photo taken by Adrian Cockcroft A year ago I did a talk at re:Invent called Architecture Trends and Topics for 2021 , so I thought it was worth seeing how they played out and updating them for the coming year. I did a few talks on this subject early in the year, and linked this to the sustainability advantages of serverless architectures.

Serverless 98

Serverless Hardware AWS Architecture 98

Dynatrace

OCTOBER 4, 2022

But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Application and system logs are often collected in data silos using different tools, with no relationships between them, and then correlated in manual and often meaningless ways.

Analytics 213

Analytics Storage Infrastructure Metrics 213

Dynatrace

JUNE 9, 2023

Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data. That’s because of the heterogeneity of the data their environments generate and the limitations of the systems they rely on to analyze this information.

DevOps 177

DevOps Analytics Storage Metrics 177

InfoQ

DECEMBER 29, 2022

Anderson Parra, Vitor Pellegrino discuss how their ticketing systems work and cover the virtual waiting room – the primary component that allows them to handle high-traffic ticket on-sales. By Anderson Parra, Vitor Pellegrino.

Traffic 52

Traffic Virtualization Systems Design 52

Dynatrace

NOVEMBER 11, 2021

Despite the fact that more than 80% of organizations now employ multicloud architecture, “hyperscaler” clouds such as AWS, Google Cloud and Microsoft Azure present monitoring and management issues for cloud practitioners. AWS re:Invent 2021: Modernizing for cloud-native environments. at Venetian Delfino 4006.

AWS 205

AWS Cloud Lambda Azure 205

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. Both can result in lost productivity for IT teams and staff in the field.

Government 196

Government Infrastructure Programming Cloud 196

Dynatrace

DECEMBER 22, 2021

Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.

Artificial Intelligence 171

Artificial Intelligence Metrics Architecture DevOps 171

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. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 249

Engineering DevOps Government Latency 249

The Netflix TechBlog

NOVEMBER 14, 2023

In this context, managing the data, especially when it arrives late, can present a substantial challenge! Late-arriving data is essentially delayed data due to system retries, network delays, batch processing schedules, system outages, delayed upstream workflows, or reconciliation in source systems.

Data Engineering 264

Data Engineering Engineering Processing Games 264

ACM Sigarch

MARCH 18, 2019

This Part 1 discusses Bottleneck Analysis and Little’s Law, while Part 2 presents the M/M/1 Queue. Computer systems, from the Internet-of-Things devices to datacenters, are complex and optimizing them can enhance capability and save money. It provides a quick calculation for what a system may or can’t do. Answered in Part 2.).

Systems 60

Systems Latency Performance Analytics 60

Uber Engineering

AUGUST 7, 2019

As we scaled up to our present level of support for 14 million trips per day, the car in that … The post Migrating Functionality Between Large-scale Production Systems Seamlessly appeared first on Uber Engineering Blog.

Systems 79

Systems Engineering Architecture 79

Percona

SEPTEMBER 22, 2023

Before open source was available, there was little to no interoperability between computer systems. If your one vendor of hardware, software, training, and all tangential things discontinued your sole-sourced system in favor of a newer, better-margined system of their manufacture, then all your investment was suddenly worth next to nothing.

Open Source 112

Open Source Software Software Hardware 112