DZone

JANUARY 20, 2025

Historically, the first implementations of recommendation systems were built on legacy rule-based engines like IBM ODM (Operational Decision Manager) and Red Hat JBoss BRMS (Business Rule Management System). However, recent advances in machine learning have fundamentally changed how recommendations are generated.

Systems 147

Systems Engineering Technology Technology 147

DZone

FEBRUARY 6, 2025

Problem statement : Ensuring the resilience of a microservices-based e-commerce platform. System resilience stands as the key requirement for e-commerce platforms during scaling operations to keep services operational and deliver performance excellence to users.

Engineering 173

Engineering Traffic Architecture Network 173

DZone

JANUARY 8, 2024

Financial data engineering in SAS involves the management, processing, and analysis of financial data using the various tools and techniques provided by the SAS software suite. Here are some key aspects of financial data engineering in SAS: 1.

Data Engineering 290

Data Engineering Engineering Database Software 290

The Netflix TechBlog

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community! Learn more about how batch and streaming data pipelines are built at Netflix.

Data Engineering 265

Data Engineering Engineering Software Engineering Best Practices 265

Dynatrace

JULY 25, 2024

I spoke with Martin Spier, PicPay’s VP of Engineering, about the challenges PicPay experienced and the Kubernetes platform engineering strategy his team adopted in response. Taking a strategic Kubernetes platform engineering approach Spier noted that keeping Kubernetes simple requires a strategic approach.

Strategy 264

Strategy Engineering Open Source Java 264

Dynatrace

AUGUST 21, 2024

To enhance reliability, testing the software under these conditions is crucial to prepare for potential issues by leveraging chaos engineering or similar tools. Chaos engineering is a practice that extends beyond traditional failure testing by identifying unpredictable issues. It forms the cornerstone of chaos engineering experiments.

Engineering 262

Engineering Systems Latency Metrics 262

DZone

MARCH 24, 2025

The Day Our Serverless Dream Turned into a Nightmare It was 3 PM on a Tuesday. Our "serverless" order processing system built on AWS Lambda and API Gateway was humming along, handling 1,000 transactions/minute. Then, disaster struck.

Lambda 147

Lambda Serverless AWS Engineering 147

Dynatrace

NOVEMBER 7, 2023

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026.

Engineering 306

Engineering DevOps Best Practices Infrastructure 306

Dynatrace

SEPTEMBER 21, 2023

Site reliability engineering first emerged to address cloud computing’s new performance needs. Today, the platform engineer role is gaining speed as the newest byproduct of scaling DevOps in the emerging but complex cloud-native world. Understanding the platform engineer role DevOps is a constantly evolving discipline.

Games 278

Games Engineering DevOps Education 278

DZone

OCTOBER 8, 2024

A performance engineer is actually a professional performance testing and engineering expert with in-depth knowledge of many load-testing tools like LoadRunner, JMeter, Neoload, Gatling, K6, etc., and must have extensive experience in specialized skills.

Engineering 277

Engineering Blockchain Healthcare IoT 277

DZone

JANUARY 6, 2024

Meetings are a crucial aspect of software engineering , serving as a collaboration, communication, and decision-making platform. In this article, we will delve deeper into the issues associated with meetings in software engineering and explore the available data.

Software Engineering 296

Software Engineering Efficiency Engineering Software 296

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. It needs to be engineered properly as a product or service, and it needs automation, observability, and security in itself.”

Engineering 264

Engineering DevOps Innovation Storage 264

Dynatrace

MAY 23, 2024

Stream processing enables software engineers to model their applications’ business logic as high-level representations in a directed acyclic graph without explicitly defining a physical execution plan. We designed experimental scenarios inspired by chaos engineering. Chaos scenario: Random pods executing worker instances are deleted.

Engineering 245

Engineering Tuning Latency Open Source 245

DZone

JULY 31, 2024

This article sets out to explore some of the essential tools required by organizations in the domain of data engineering to efficiently improve data quality and triage/analyze data for effective business-centric machine learning analytics, reporting, and anomaly detection.

Data Engineering 287

Data Engineering FinTech Engineering Analytics 287

DZone

NOVEMBER 27, 2023

Most engineering organizations face the dilemma of ensuring the new developer gets the support they need without slowing down the rest of the team too much. During this time, the developer will have many questions (as they should)! However, those questions interrupt other team members who must stop what they’re doing to provide answers.

Software Engineering 260

Software Engineering Engineering Software Software 260

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. Platform engineering: Build for self-service Self-service deployment is a key attribute of platform engineering. “It makes them more productive.

Engineering 264

Engineering Development DevOps Infrastructure 264

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 246

DevOps Engineering Artificial Intelligence Infrastructure 246

Dynatrace

OCTOBER 10, 2023

Planned effort Site Reliability Engineering (SRE) effort and time allocation planning typically fall into two domains: Operations Management (50%) Operations Management includes on-call responsibilities, post-mortem assessments, addressing other interruptions, and buffer time. These practices are commonly known as “ chaos engineering. ”

Engineering 264

Engineering DevOps Innovation Strategy 264

DZone

OCTOBER 22, 2024

Ingress is essential for routing incoming traffic to your service; however, there may be scenarios in which you want to prevent search engines from indexing your service's content: it might be a development environment or something else.

Traffic 289

Traffic Engineering Processing Development 289

DZone

JANUARY 30, 2024

The evolution of enterprise software engineering has been marked by a series of "less" shifts — from client-server to web and mobile ("client-less"), data center to cloud ("data-center-less"), and app server to serverless.

Software Engineering 276

Software Engineering Engineering Software Software 276

Dynatrace

FEBRUARY 12, 2024

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering 246

Engineering Development Infrastructure Cloud 246

Dynatrace

MARCH 29, 2024

Five of the most common include cluster instability, resource and cost management, security, observability, and stress on engineering teams. Engineering teams are overwhelmed with stuff to do.” The post Enhancing Kubernetes cluster management key to platform engineering success appeared first on Dynatrace news.

Engineering 264

Engineering DevOps Operating System Cloud 264

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. Our audits would detect this and alert the on-call data engineer (DE).

Data Engineering 271

Data Engineering Engineering Processing Games 271

DZone

JUNE 15, 2023

The scalability, agility, and continuous delivery offered by microservices architecture make it a popular option for businesses today. Nevertheless, microservices architectures are not invulnerable to disruptions.

Engineering 314

Engineering Architecture Scalability Google 314

DZone

DECEMBER 25, 2024

Heres a comprehensive exploration of why Autoscaling isnt a guaranteed fix and suggestions for engineers to improve its performance and cost-effectiveness. Although Autoscaling is an effective tool, it does not serve as a one-size-fits-all remedy.

AWS 264

AWS Tuning Performance Engineering 264

Dynatrace

FEBRUARY 4, 2025

At Dynatrace, we understand your challenges when dealing with external packageswhether you’re hustling with reverse engineering, automatically fetching open source code, or playing the guessing game. Source code is loaded only on an engineers workstation, using the engineers privileges.

Open Source 223

Open Source Code Engineering Best Practices 223

DZone

JANUARY 10, 2025

After years of working in the intricate world of software engineering, I learned that the most beautiful solutions are often those unseen: backends that hum along, scaling with grace and requiring very little attention.

Architecture 242

Architecture Scalability Software Engineering Cloud 242

Dynatrace

DECEMBER 9, 2024

Continuous visibility and assessment provide platform engineering, DevSecOps, DevOps, and SRE teams with the ability to track, validate, and remediate potential compliance-relevant findings and create the necessary evidence for the auditing process.

Best Practices 290

Best Practices Benchmarking DevOps Efficiency 290

The Netflix TechBlog

JANUARY 6, 2025

Challenge: Dont understand the cascading effects of their setup on these perceived black box personalization systems - Personalization System Engineers Role: Develop and operate the personalization systems. Challenge: End up spending unplanned cycles on title launch and personalization investigations.

Scalability 219

Scalability Cache Engineering Systems 219

Dynatrace

MARCH 5, 2025

Site Reliability Engineers (SREs) also face significant challenges in maintaining database reliability, ensuring performance, and preventing disruptions in highly dynamic and distributed environments. One slow query, an inefficient index, or a schema misstep can grind an application to a halt.

Database 306

Database Development Tuning DevOps 306

Dynatrace

MARCH 5, 2025

From developers leveraging platform engineering tools to optimize application performance, to Site Reliability Engineers (SREs) ensuring resilience, and executives gaining critical business insights, observability increases the velocity of innovation across every level of an organization.

Innovation 232

Innovation Speed Efficiency Engineering 232

Dynatrace

FEBRUARY 4, 2025

Enterprise adoption with self-service: To facilitate enterprise adoption while minimizing tool sprawl and data silos, Dynatrace allows observability teams and platform engineers to implement a self-service model for developers.

Development 235

Development Analytics Code Architecture 235

The Netflix TechBlog

MARCH 4, 2025

This standardization enhances adoption within the personalization stack, simplifies the system, and improves understanding and debuggability for engineers. They must also provide enough information for partner engineers to identify the problem with the underlying service in cases of system-level issues.

Traffic 180

Traffic Strategy Entertainment Innovation 180

Dynatrace

FEBRUARY 27, 2025

To get a better idea of OpenTelemetry trends in 2025 and how to get the most out of it in your observability strategy, some of our Dynatrace open-source engineers and advocates picked out the innovations they find most interesting. Because its constantly evolving, staying up to date with the latest in OpenTelemetry is no small feat.

Tuning 310

Tuning Open Source Innovation Monitoring 310

DZone

DECEMBER 24, 2024

Indeed, chaos engineering is an innovation concerning testing infrastructure resilience these days. Therefore, no one can underestimate the role of stress testing in ensuring that the systems are resilient against unfortunate events and failures.

Infrastructure 147

Infrastructure Testing Innovation Engineering 147

Dynatrace

DECEMBER 18, 2024

Data in Grail available with DQL look very powerful; the possibility of combining response payload with info on how much time it (monitors execution) took looks very useful – Tim Buedts, IT Reliability Engineer at Telenet group Within the new Synthetic app, we provide you with a link to a Notebook you can use for further analysis.

Monitoring 246

Monitoring Testing Metrics Analytics 246

Dynatrace

NOVEMBER 20, 2024

The Davis AI engine automatically and continuously delivers actionable insights based on an environment’s current state. The solution also allows customers to combine alerts from best-in-class security solutions.

Best Practices 299

Best Practices Innovation Azure Cloud 299