Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

Architecture 194

Architecture DevOps Monitoring Programming 194

Dynatrace

JULY 7, 2022

Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.

Architecture 199

Architecture Serverless Azure Programming 199

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le).

Architecture 169

Architecture Availability Infrastructure Metrics 169

DZone

AUGUST 16, 2019

Service-Oriented Architecture Overview. A service-oriented architecture (SOA) is an architectural pattern in computer software design in which application components provide services to other components via a communications protocol, typically over a network.

Architecture 138

Architecture Network Efficiency Design 138

DZone

JANUARY 8, 2024

As organizations increasingly migrate their applications to the cloud, efficient and scalable load balancing becomes pivotal for ensuring optimal performance and high availability. Load balancing is a critical component in cloud architectures for various reasons. What Is Load Balancing?

Azure 275

Azure Scalability Traffic Performance 275

Uber Engineering

AUGUST 14, 2019

In our experience, optimizing for operational efficiency requires answering one key question: for which tables does the maintenance cost supersede utility? Once identified, … The post Less is More: Engineering Data Warehouse Efficiency with Minimalist Design appeared first on Uber Engineering Blog.

Efficiency 110

Efficiency Engineering Design Storage 110

DZone

JULY 12, 2023

Cloud-native architecture has become a key concept in the software industry, providing an efficient way to develop, deploy, and manage applications in the cloud. As more and more applications are moved to the cloud, it becomes increasingly important to design and build them in a way that takes full advantage of cloud computing.

Cloud 236

Cloud Best Practices Architecture Design 236

DZone

JANUARY 11, 2024

Neuromorphic chips represent a significant leap in computing, borrowing inspiration from the neural architecture of the human brain. Unlike traditional computer designs that employ von Neumann-based processors, neuromorphic chips mimic the neural network topology of the brain, allowing more efficient and adaptive computing systems.

Architecture 152

Architecture Network Efficiency Design 152

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility.

Cache 130

Cache Storage Scalability Architecture 130

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. A PUE of 1.0

Cloud 208

Cloud Energy Best Practices Cache 208

IO River

NOVEMBER 2, 2023

A content delivery network (CDN) is a distributed network of servers strategically located across multiple geographical locations to deliver web content to end users more efficiently. What is CDN Architecture?‍CDN CDN architecture serves as a blueprint or plan that guides the distribution of CDN provider PoPs.

Architecture 52

Architecture Cache Performance Latency 52

DZone

OCTOBER 27, 2023

In the dynamic world of microservices architecture, efficient service communication is the linchpin that keeps the system running smoothly. This dedicated infrastructure layer is designed to cater to service-to-service communication, offering essential features like load balancing, security, monitoring, and resilience.

Traffic 231

Traffic Best Practices Architecture Infrastructure 231

IO River

NOVEMBER 2, 2023

‍A content delivery network (CDN) is a distributed network of servers strategically located across multiple geographical locations to deliver web content to end users more efficiently. ‍What is CDN Architecture? ‍What is CDN Architecture?‍CDN All these elements combined serve as the blueprint of a CDN architecture.Â

Architecture 52

Architecture Cache Performance Latency 52

The Netflix TechBlog

NOVEMBER 17, 2022

While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. We employed an adaptive network design that is applicable to the wide variety of resolutions we use for encoding. How do we apply neural networks at scale efficiently?

Network 292

Network Media Innovation Efficiency 292

Dynatrace

JANUARY 23, 2024

Dynatrace unified observability and security is critical to not only keeping systems high performing and risk-free, but also to accelerating customer migration, adoption, and efficient usage of their cloud of choice. What will the new architecture be? What can we move? How can we ensure we see performance gains once migrated?

Cloud 211

Cloud Artificial Intelligence Performance AWS 211

Scalegrid

FEBRUARY 8, 2024

Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Smashing Magazine

OCTOBER 15, 2021

Tips And Tricks For Evaluating UX/UI Designers. Tips And Tricks For Evaluating UX/UI Designers. When a company’s digital representation lacks a dedicated UX/UI design team, it can be hard to produce something that stands out from the crowd. That happens when your app/website/system is efficient. Nataliya Sambir.

Design 113

Design Website Efficiency Games 113

Dynatrace

APRIL 19, 2024

Bring logic to data with easy-to-build apps As a unified observability and security platform, Dynatrace is designed to be open and customizable from the ground up. Pre-built custom dashboards enable the team to share the hourly billing data with development teams, giving them insights into how architecture and design decisions drive costs.

AWS 220

AWS Analytics Cloud Monitoring 220

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

AUGUST 8, 2019

One of our design principles is to make sure that Dynatrace is as easy to set up and use as possible. In short, over the last several months, we’ve completely rebuilt the architecture of the OneAgent installer for Windows. Dynatrace news. msi-based deployment. These aren’t just empty words.

Efficiency 117

Efficiency Network Storage Architecture 117

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 204

Cache Azure Infrastructure Monitoring 204

SQL Performance

JULY 8, 2021

I want to talk about UI design choices that lead to data access patterns that are awkward to implement using SQL Server. Consider this design: The data behind this example requires counting and processing the entire dataset in order to report the number of results. It can also be very difficult to pull off efficiently using SQL Server.

Design 92

Design Software Architecture Database Servers 92

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

NOVEMBER 6, 2023

Dynatrace Grail™ data lakehouse unifies the massive volume and variety of observability, security, and business data from cloud-native, hybrid, and multicloud environments while retaining the data’s context to deliver instant, cost-efficient, and precise analytics. Digital transformation 2.0

Azure 179

Azure Analytics Artificial Intelligence Innovation 179

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

InfoQ

FEBRUARY 1, 2024

Peter Lawrey discusses achieving vertical scalability by minimizing accidental complexity and using an event-driven architecture. By Peter Lawrey

Scalability 73

Scalability Efficiency Systems Architecture 73

Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. The result is smarter, data-driven solutions designed to manage cloud spend. Nearly half (49%) of organizations believe their cloud bill is too high , according to a CloudZero survey. What is FinOps?

Cloud 195

Cloud Strategy Retail Energy 195

Dynatrace

OCTOBER 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. It’s based on cloud-native architecture and built for the cloud. But what does that mean?

Artificial Intelligence 267

Artificial Intelligence Analytics Storage Architecture 267

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 280

Serverless AWS Lambda Storage 280

Dynatrace

FEBRUARY 15, 2023

Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. For more complex cloud-native architectures, adding more services and applications leads to a massive increase in the volume of collected traces.

Analytics 229

Analytics Social Media Metrics Efficiency 229

Dynatrace

MARCH 18, 2024

Suboptimal architecture design. Poorly designed cloud solutions can become costly over time. Drive your FinOps strategy with Dynatrace In the simplest sense, FinOps is about optimizing and using cloud resources more efficiently.

Best Practices 231

Best Practices Strategy Cloud AWS 231

DZone

JULY 13, 2021

Experienced engineers used Perl scripts, vi, grep and awk to make log searches more efficient. These historical approaches worked for a different era of software applications: ones more monolithic in design, changing relatively infrequently (once every few weeks or months) and with only a handful of log types to monitor.

Google 255

Google Architecture Efficiency Cloud 255

The Netflix TechBlog

MARCH 4, 2024

We have deployed Auto Remediation in production for handling memory configuration errors and unclassified errors of Spark jobs and observed its efficiency and effectiveness (e.g., For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. The resulting vast increase in data volume highlights the need for more efficient data handling solutions.

Best Practices 243

Best Practices Analytics Artificial Intelligence Infrastructure 243

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208