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 254

Engineering DevOps Innovation Storage 254

DZone

SEPTEMBER 21, 2020

While it's well-received in the community with its rich fault injection types and easy-to-use dashboard, it was difficult to use Chaos Mesh with end-to-end testing or the continuous integration (CI) process. In this article, I will share how we use chaos-mesh-action, a GitHub action to integrate Chaos Mesh into the CI process.

Engineering 338

Engineering Cloud Testing Processing 338

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. In addition, their logs-heavy approach to analysis made scaling processes complex and costly. “And these layers tend to be similar. .

Strategy 237

Strategy Engineering Open Source Java 237

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 251

Engineering Development DevOps Infrastructure 251

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 285

Engineering DevOps Best Practices Infrastructure 285

Dynatrace

AUGUST 26, 2020

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . The post Dynatrace wins AI Breakthrough Award for Davis AI engine appeared first on Dynatrace blog.

Engineering 305

Engineering DevOps Innovation AWS 305

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. Let’s dive in! What is late-arriving data? Some techniques we used were: 1.

Data Engineering 273

Data Engineering Engineering Processing Games 273

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 221

Processing Big Data Efficiency Engineering 221

The Netflix TechBlog

APRIL 12, 2022

By Alex Hutter , Falguni Jhaveri and Senthil Sayeebaba Over the past few years Content Engineering at Netflix has been transitioning many of its services to use a federated GraphQL platform. it began to power a significant portion of the user experience for many applications within Content Engineering.

Engineering 273

Engineering Architecture Java Infrastructure 273

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. Streamlining the CI/CD process to ensure optimal efficiency.

Engineering 239

Engineering DevOps Innovation Strategy 239

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 238

Engineering DevOps Operating System Open Source 238

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 249

Games Engineering DevOps Education 249

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data.

Engineering 192

Engineering Tuning Latency Open Source 192

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

Processing 236

Processing Data Engineering Efficiency Analytics 236

Dynatrace

AUGUST 21, 2024

This approach enhances key DORA metrics and enables early detection of failures in the release process, allowing SREs more time for innovation. To enhance reliability, testing the software under these conditions is crucial to prepare for potential issues by leveraging chaos engineering or similar tools. Why reliability?

Engineering 203

Engineering Systems Latency Metrics 203

The Netflix TechBlog

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 209

Data Engineering Engineering Entertainment Software Engineering 209

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 194

Engineering Development Infrastructure Cloud 194

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 203

DevOps Engineering Artificial Intelligence Infrastructure 203

Dynatrace

NOVEMBER 14, 2023

Site reliability engineering (SRE) has become increasingly important to organizations looking to keep up with the rapid pace of digital transformation. Effective site reliability engineering requires enterprise-wide transformation Without a unified understanding of SRE practices, organizational silos can quickly form between departments.

Best Practices 204

Best Practices Engineering DevOps Software Engineering 204

Dynatrace

JUNE 5, 2023

Multicloud automation challenge: Manual processes don’t scale Manual processes pose multiple problems for organizations looking for increased application performance and efficiency. First, manual processes are naturally error prone because they rely on humans to input, review, and confirm data.

Engineering 200

Engineering Speed Monitoring Efficiency 200

Dynatrace

SEPTEMBER 27, 2024

Unrealized optimization potential of business processes due to monitoring gaps Imagine a retail company facing gaps in its business process monitoring due to disparate data sources. Due to separated systems that handle different parts of the process, the view of the process is fragmented.

Processing 210

Processing Retail Analytics Monitoring 210

Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. Because of its adaptability, Prometheus has become an essential tool for observability engineering.

Metrics 190

Metrics Engineering Energy Tuning 190

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

Dynatrace

FEBRUARY 1, 2024

The adoption process takes time and consideration. The complexity and numerous moving parts of Kubernetes multicloud clusters mean that when monitoring the health of these clusters—which is critical for ensuring reliable and efficient operation of the application—platform engineers often find themselves without an easy and efficient solution.

Engineering 276

Engineering Efficiency Azure Monitoring 276

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

DZone

JUNE 20, 2023

It delves into the process of writing acceptance criteria for SAFe user stories, features, and epics and explains how these are tested within SAFe ceremonies. Furthermore, it maps the activities associated with end-to-end testing to SAFe ceremonies, providing a comprehensive understanding of the testing process.

Testing 212

Testing Engineering Performance Testing Software 212

Dynatrace

DECEMBER 9, 2024

Processes are time-intensive. Slow processes introduce risk. 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. Reactivity.

Best Practices 256

Best Practices Benchmarking DevOps Efficiency 256

High Scalability

JANUARY 11, 2022

Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. This is a guest post by Ankit Sirmorya.

Design 334

Design Media Storage Logistics 334

DZone

NOVEMBER 7, 2023

With businesses constantly in the race to stay ahead, the process of integrating this data becomes crucial. However, it's no longer enough to assimilate data in isolated, batch-oriented processes. Businesses were content with accumulating data over defined intervals and then processing it in scheduled batches.

Systems 292

Systems Analytics Architecture Engineering 292

DZone

MARCH 29, 2023

Data migration is the process of moving data from one location to another, which is an essential aspect of cloud migration. The article will also explore the role of data engineering in ensuring successful data transfer and integration and different approaches to data migration.

Best Practices 315

Best Practices Cloud Data Engineering Storage 315

The Netflix TechBlog

FEBRUARY 18, 2022

Personalized Experience Refresh Netflix Recommendation engine continuously refreshes recommendations for every member. Event Prioritization Considering the use cases were wide ranging both in terms of their sources and their importance, we built segmentation into the event processing.

Systems 334

Systems Traffic Architecture Mobile 334

The Netflix TechBlog

MARCH 14, 2023

User provides a sample image to find other similar images Prior engineering work Approach #1: on-demand batch processing Our first approach to surface these innovations was a tool to trigger these algorithms on-demand and on a per-show basis. Processing took several hours to complete. Here is a visualization of this flow.

Media 301

Media Innovation Energy Architecture 301

DZone

JANUARY 31, 2024

The reality of the startup is that engineering teams are often at a crossroads when it comes to choosing the foundational architecture for their software applications. Microservices promise a distributed architecture where each service runs its unique process and communicates through a well-defined, lightweight mechanism.

Architecture 289

Architecture Scalability Design Engineering 289

The Netflix TechBlog

DECEMBER 3, 2022

Obviously not all tools are made with the same use case in mind, so we are planning to add more code samples for other (than classical batch ETL) data processing purposes, e.g. Machine Learning model building and scoring. This allows other processes, consuming our table, to be notified and start their processing.

Best Practices 362

Best Practices Code Testing Data Engineering 362

Dynatrace

AUGUST 27, 2024

For example, look for vendors that use a secure development lifecycle process to develop software and have achieved certain security standards. Integration with existing processes. The Dynatrace process involves a unique collaboration between AI and human experts. Resource constraints.

Best Practices 276

Best Practices Government DevOps Analytics 276

Dynatrace

DECEMBER 18, 2023

In the last blog post of this series, we delved into how Dynatrace, functioning as a deploy-stage orchestrator, solves the challenges confronted by Site Reliability Engineers (SREs) during the early of automating CI/CD processes. This slow feedback and time spent rerunning tests can hinder the overall software deployment process.

Testing 264

Testing Best Practices Performance Testing Engineering 264

Dynatrace

OCTOBER 4, 2024

Today, development teams suffer from a lack of automation for time-consuming tasks, the absence of standardization due to an overabundance of tool options, and insufficiently mature DevSecOps processes. Treating an Internal Developer Platform (IDP) as a product is an emerging paradigm within platform engineering communities.

Software 230

Software Software Development Performance 230