Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Moreover, the system lacks flexibility, imposing strict schemas that administrators and developers must adhere to avoid additional costs. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs).

Retail 238

Retail Storage Best Practices Architecture 238

DZone

SEPTEMBER 14, 2023

Such a gigantic log analysis system is part of their cybersecurity management. For the need of real-time monitoring, threat tracing, and alerting, they require a log analytic system that can automatically collect, store, analyze, and visualize logs and event records.

Analytics 124

Analytics Storage Architecture Scalability 124

Dynatrace

APRIL 19, 2023

The new architecture enables more granularity in permission management and provides the dynamics necessary to serve modern access management use cases. We’ve replaced the role-based permission system with security policies that provide fine-grained control over service access and introduce new dynamic controls for user authorization.

Storage 211

Storage Analytics Systems Architecture 211

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

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

JUNE 9, 2023

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. Research has found that 99% of organizations have embraced a multicloud architecture. What is DevOps maturity?

DevOps 185

DevOps Analytics Storage Metrics 185

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases. In a DBMS, data serves as the material which the system stores, structures, and controls.

Efficiency 147

Efficiency Storage Database Scalability 147

High Scalability

JANUARY 11, 2022

Architecture. The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. After that, the post gets added to the feed of all the followers in the columnar data storage. High Level Design.

Design 334

Design Media Storage Logistics 334

The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. Each systems begins from a cold start unless explicitly stated otherwise in the results. VLDB’19. Key findings.

Architecture 76

Architecture Cloud Storage Serverless 76

Dynatrace

JANUARY 22, 2024

That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Understanding complex systems Causal AI holds great importance for achieving full-stack observability in complex systems. More generally, causal AI can contribute to explainable and fair AI systems.

Artificial Intelligence 209

Artificial Intelligence Healthcare Retail Government 209

Percona

MARCH 7, 2023

One approach is to separate compute and storage to allow for independent scaling. It’s an open source alternative to AWS Aurora Postgres that utilizes a serverless architecture. Architecture A Neon installation consists of compute nodes and the Neon storage engine.

Serverless 110

Serverless Storage Open Source Architecture 110

Dynatrace

APRIL 8, 2024

If system failures occur, teams must resolve them quickly and resolutely. Maximizing a strong foundation of IT infrastructure performance and security means effectively utilizing all the data that these systems produce to drive risk management processes and decision-making. Automated issue resolution. Break down data silos.

Analytics 202

Analytics Infrastructure Efficiency Technology 202

All Things Distributed

JUNE 10, 2016

If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. Mobile Backend Serverless Reference Architecture. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 109

Lambda Serverless AWS Architecture 109

All Things Distributed

MAY 10, 2016

If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. Mobile Backend Serverless Reference Architecture. Real-time File Processing Serverless Reference Architecture. IoT Backend Serverless Reference Architecture.

Lambda 105

Lambda Serverless AWS Architecture 105

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

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 344

Open Source Java Operating System Programming 344

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. This means organizations are increasingly using Kubernetes not just for running applications, but also as an operating system.

Infrastructure 187

Infrastructure Open Source Operating System Cloud 187

Dynatrace

OCTOBER 14, 2022

Achieving this from a typical enterprise’s various apps, systems, and configurations is the beginning of the observability journey and, therefore, critical to get right. All this is easier said than done because: Kubernetes-based dynamic architecture is becoming the norm. Try it out yourself.

Storage 228

Storage Government Network Infrastructure 228

Dynatrace

JUNE 7, 2023

According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Ease of use.

Open Source 208

Open Source Social Media Infrastructure Operating System 208

Uber Engineering

APRIL 5, 2018

Three years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis.

Systems 109

Systems Big Data Storage Infrastructure 109

Dynatrace

JUNE 16, 2020

One key requirement of a microservices architecture is the ability to make information of all kinds available wherever and whenever it’s needed, without putting undue traffic on corporate and public networks. Synchronous storage size. Async storage size. Storage read size rate. Storage read count rate.

Storage 133

Storage Metrics Java Architecture 133

ACM Sigarch

OCTOBER 4, 2018

This is the first post in a series of posts on different approaches to systems security especially as they apply to hardware and architectural security. In this post, we will consider the use of mathematics/cryptography as an approach to improving systems security.

Systems 47

Systems Hardware Storage Healthcare 47

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 204

Artificial Intelligence DevOps Hardware Virtualization 204

The Netflix TechBlog

OCTOBER 15, 2019

Another issue exists for the capture of schema changes, where some systems, like MySQL, don’t support transactional schema changes [1][2]. By their nature, they can only rely on the lowest common denominator of participating systems. That system quickly grew very complex and became difficult to maintain.

Transportation 192

Transportation Architecture Storage Processing 192

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

Infrastructure 202

Infrastructure Monitoring Virtualization Serverless 202

Dynatrace

DECEMBER 16, 2022

But legacy, custom software can often prevent systems from working together, ultimately hindering growth. An open approach enables technologies to interoperate, whereas proprietary, legacy systems often create vendor lock-in and prevent interoperability and data integration. The platform approach vs. the best-of-breed approach.

Innovation 198

Innovation Software Software Cloud 198

VoltDB

JULY 10, 2018

As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. The post Scalable MicroService Architecture appeared first on VoltDB.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. The post Scalable MicroService Architecture appeared first on VoltDB.

Architecture 40

Architecture Scalability Ecommerce Latency 40

Scalegrid

JANUARY 8, 2024

AI algorithms embedded in cloud architecture automate repetitive processes, streamlining workloads and reducing the chance of human error. AI models integrated into cloud systems offer flexibility, enable agile methodologies, and ensure secure systems. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 248

AWS Efficiency Azure Latency 248

DZone

JUNE 12, 2019

A system that has the ability to easily scale resources to meet the increasing workload without affecting the performance is known as a scalable system. The workload could refer to anything from an increase in users, storage, or a number of transactions.

Scalability 100

Scalability Software Architecture Storage Architecture 100

Dynatrace

FEBRUARY 10, 2023

From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. However, according to recent research, keeping applications secure in modern hybrid and multicloud systems is an ongoing challenge.

Efficiency 277

Efficiency Performance Analytics DevOps 277

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. OpenTelemetry reference architecture. OTel is a specialized protocol for collecting telemetry data and exporting it to a target system.

Open Source 221

Open Source Metrics Cloud Transportation 221

ACM Sigarch

AUGUST 3, 2023

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. Andrew Chien rightfully raises awareness of the challenges of reducing operational carbon.

Energy 98

Energy Architecture Hardware Metrics 98

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JULY 19, 2021

How are we managing the torrent of telemetry that flows into analytics systems from these devices? Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. The list goes on. The Limitations of Today’s Streaming Analytics.

IoT 78

IoT Analytics Big Data Architecture 78