The Netflix TechBlog

SEPTEMBER 29, 2022

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

Latency 212

Latency Systems Media Serverless 212

Dynatrace

APRIL 18, 2024

Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. 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 184

DevOps Engineering Artificial Intelligence Infrastructure 184

High Scalability

JUNE 18, 2018

You can view the original article—H ow to implement consistent hashing efficiently —on Ably's blog. In this article, we’ll understand what consistent hashing is all about and why it is an essential tool in scalable distributed system architectures. Hashing revisited.

Efficiency 172

Efficiency Programming Strategy Scalability 172

Tasktop

JUNE 20, 2022

This is easier said than done, so we’ve designed three sets of OKRs examples for software companies to show how it’s possible. In these examples, the product value streams incorporate Flow Metrics into their key results to drive agility and a value focus. Examples of quarterly OKRs for software companies. Activities.

Software 96

Software Software Healthcare Mobile 96

DZone

MARCH 9, 2023

Software testing is the process of verifying the working of the software system or application. It not only focuses on finding bugs or errors in the software but also considers measures to enhance the software quality in terms of usability, accuracy, and efficiency.

Best Practices 100

Best Practices Software Software Testing 100

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. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

NOVEMBER 9, 2023

Kubernetes is a widely used open source system for container orchestration. Users can continuously evaluate the system’s performance against predefined quality criteria, making SLOs a good option for monitoring and improving the system’s overall performance.

Efficiency 279

Efficiency Monitoring Best Practices Open Source 279

Dynatrace

DECEMBER 21, 2023

Business processes are important because they improve the efficiency, consistency, and quality of the business outcome. Business process monitoring helps organizations: Increase efficiency by identifying and addressing bottlenecks or inefficiencies that may slow down a business process. Reduce costs.

Processing 218

Processing Monitoring Retail Analytics 218

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

MARCH 20, 2024

In this article, we’ll explore these challenges in detail and introduce Keptn, an open source project that addresses these issues, enhancing Kubernetes observability for smoother and more efficient deployments. Insufficient CPU and memory allocation to pods can lead to resource contention and stop Pods from being created.

Open Source 272

Open Source Hardware DevOps Infrastructure 272

Percona

FEBRUARY 24, 2023

To achieve this in a secure and efficient manner, a key requirement for any database monitoring and management software is to have robust access management features. For example, the QA team would only have access to data from the QA environment rather than having access to the production environment.

Metrics 104

Metrics Monitoring Database Engineering 104

The Morning Paper

SEPTEMBER 15, 2019

Fine-grained, secure and efficient data provenance on blockchain systems Ruan et al., For example, a contract that sends a reward amount of tokens to a user based on that user’s average balance per day over some period. For example, suppose the read set is and the write set is. VLDB’19.

Blockchain 55

Blockchain Efficiency Systems Storage 55

Dynatrace

MAY 2, 2024

Rising consumer expectations for transparency and control over their data, combined with increasing data volumes, contribute to the importance of swift and efficient management of privacy rights requests. How can this services administrator meet this request in a quick, compliant, and efficient way?

Tuning 132

Tuning Scalability Efficiency Processing 132

Dynatrace

FEBRUARY 9, 2024

Recent platform enhancements in the latest Dynatrace, including business events powered by Grail™, make accessing the goldmine of business data flowing through your IT systems easier than ever. Business events can come from many sources, including OneAgent®, external business systems, RUM sessions, or log files.

Processing 195

Processing Monitoring Analytics Games 195

Dynatrace

DECEMBER 21, 2023

You might optimize your cooling system or move your data center to a colder region with reduced cooling demands. Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. A PUE of 1.0 A PUE of 1.0

Cloud 214

Cloud Energy Best Practices Cache 214

Dynatrace

MARCH 27, 2024

The automated extraction of ownership information, for example, from Kubernetes annotations, is therefore essential. How to efficiently introduce team ownerships Dynatrace provides different ways of associating team ownership with entities and adding desired team metadata, such as contact details, to your environments.

Best Practices 204

Best Practices Azure Database Code 204

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. Predictive AI uses statistical algorithms and other advanced machine learning techniques to anticipate what might happen next in a system. This data-driven approach fosters continuous refinement of processes and systems.

Artificial Intelligence 266

Artificial Intelligence DevOps Analytics Engineering 266

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. Armed with this data, the developer can then change the query to ask for the statements over a period (for example, the previous week). In this example, there is a suspicious increase in scripting events.

Artificial Intelligence 191

Artificial Intelligence Analytics Efficiency Database 191

Dynatrace

AUGUST 28, 2023

Let’s shift our focus to the backend systems and business processes, the behind-the-scenes heroes of end-to-end customer experience. These retail-business processes must work together efficiently to orchestrate customer satisfaction: Inventory management ensures you can anticipate and meet dynamic customer demand.

Retail 208

Retail Logistics Innovation Analytics 208

Dynatrace

OCTOBER 4, 2023

Business resilience is when organizations have systems and processes in place to protect against unforeseen shocks and build organizational agility. Companies that exploit these technologies can discover risks early, remediate problems, and to innovate and operate more efficiently are likely to achieve competitive advantage.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. For example, generating an image requires as much power as fully charging your smartphone.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

MARCH 27, 2024

This is further exacerbated by the fact that a significant portion of their IT budgets are allocated to maintaining outdated legacy systems. By combining AI and observability, government agencies can create more intelligent and responsive systems that are better equipped to tackle the challenges of today and tomorrow.

Government 163

Government Network Artificial Intelligence Cloud 163

Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Others involve introducing new threats as AI becomes more integrated into IT systems as a whole.

Artificial Intelligence 188

Artificial Intelligence DevOps Strategy Open Source 188

DZone

JULY 24, 2023

In today's digital age, managing inventory efficiently and accurately is a challenge that many businesses face. The use of Artificial Intelligence (AI) can greatly enhance the effectiveness of inventory management systems, helping to forecast demand, optimize stock levels, and reduce waste.

Artificial Intelligence 189

Artificial Intelligence Efficiency Systems 189

Dynatrace

JANUARY 18, 2024

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations.

Artificial Intelligence 217

Artificial Intelligence Healthcare Government Technology 217

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. 2: AI-generated code will create the need for digital immune systems. These challenges will drive organizations to develop digital immune systems that protect their software from the inside by ensuring code resilience by default.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

Dynatrace

NOVEMBER 14, 2023

For example, how much does a reduction in MTTR impact revenue? For example, generative AI has the potential to provide more intuitive methods of querying data. The panelists speculated that AI will likely improve quality of life for SRE teams through its ability to efficiently execute tasks.

Best Practices 197

Best Practices Engineering DevOps Software Engineering 197

Dynatrace

FEBRUARY 1, 2024

The complex interconnections in cloud-based systems make it crucial to always have a topological overview to understand dependencies. For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience.

Infrastructure 186

Infrastructure Metrics Network Monitoring 186

Dynatrace

MARCH 28, 2024

According to Markets and Markets, for example, the digital transformation market is projected to grow at a compound annual growth rate of 19.1%, from $521.5 “Now, however, with the way the pandemic has caused a major disruption in businesses on a global level, digital transformation has become a thing of necessity. billion in 2021 to $127.5

C++ 190

C++ Artificial Intelligence DevOps Innovation 190

Dynatrace

MAY 24, 2023

Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. An example dashboard for Kubernetes workload might look like the following. What is Azure Linux? Performance.

Azure 231

Azure Monitoring Operating System Virtualization 231

The Netflix TechBlog

DECEMBER 14, 2023

Data Processing Patterns Lee Woodridge and Pallavi Phadnis, Data Engineers at Netflix, talk about how you can apply different processing strategies for your batch pipelines by implementing generic abstractions to help scale, be more efficient, handle late-arriving data, and be more fault tolerant.

Data Engineering 259

Data Engineering Engineering Software Engineering Best Practices 259

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130

Metrics Monitoring Latency Cache 130

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 209

Government Infrastructure Programming Cloud 209

The Netflix TechBlog

NOVEMBER 14, 2023

By the end of this series, we hope you will gain an understanding of how Psyberg transformed our data processing, making our pipelines more efficient, accurate, and timely. Let’s walk through an example to understand the complexity of this pre-Psyberg world. Let’s dive in! What is late-arriving data? Raw data for hours 3 and 6 arrive.

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

FEBRUARY 15, 2023

For example, with AutomationEngine, teams can automate remediation and progressive delivery to continuously evaluate application performance against specific, measurable service-level objectives. For example, teams can schedule a routine task or routing alerts with a visual drag-and-drop workflow creation experience.

Code 217

Code DevOps Cloud Analytics 217

Dynatrace

JANUARY 30, 2024

For example, AI is a great candidate for automating tedious, manual tasks such as aggregating data. But if you don’t take the time to train the workforce in the programs or the systems you’re bringing online, you lose that effectiveness. There is a lot of concern about AI taking jobs away from humans.

Artificial Intelligence 207

Artificial Intelligence Government Innovation Tuning 207

The Morning Paper

DECEMBER 5, 2019

Benchmarking spreadsheet systems Rahman et al., Increasingly we’re dealing with larger and larger datasets — for example, data imported via csv files — and spreadsheets are creaking. They often freeze during computation, and are unable to import datasets well below the size limits posed by current spreadsheet systems.

Benchmarking 56

Benchmarking Systems Google Scalability 56