Dynatrace

JULY 22, 2024

Traces are used for performance analysis, latency optimization, and root cause analysis. The OpenTelemetry Protocol (OTLP) plays a critical role in this framework by standardizing how systems format and transport telemetry data, ensuring that data is interoperable and transmitted efficiently. Employ efficient sampling.

Latency 245

Latency Best Practices Metrics Open Source 245

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 242

Latency Storage Traffic Tuning 242

Scalegrid

MARCH 22, 2024

A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. They can also bolster uptime and limit latency issues or potential downtimes.

Strategy 130

Strategy Cloud Government Innovation 130

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

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 259

AWS Efficiency Azure Cloud 259

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 260

Cache Latency Airlines Logistics 260

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. Migrating Persistent Stores Stateful APIs pose unique challenges that require different strategies.

Traffic 287

Traffic Metrics Systems Strategy 287

The Netflix TechBlog

DECEMBER 17, 2024

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? The stakes are even higher when ensuring every title launches flawlessly.

Traffic 174

Traffic Scalability Strategy Monitoring 174

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications. Data Placement.

Database 213

Database Latency C++ Scalability 213

Dynatrace

JANUARY 31, 2024

Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources. Finding a balance between complexity and impact must be a priority for organizations that adopt AI strategies.

Cache 215

Cache Azure Infrastructure Monitoring 215

Dynatrace

MAY 23, 2024

Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume. Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively.

Engineering 192

Engineering Tuning Latency Open Source 192

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. They can accomplish this all while delivering transformation efficiency and economies of scale for IT functions that maintain risk management infrastructure.

Analytics 214

Analytics Infrastructure Efficiency Technology 214

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. To ensure resilience, ITOps teams simulate disasters and implement strategies to mitigate downtime and reduce financial loss. Adding application security to development and operations workflows increases efficiency. Performance.

Artificial Intelligence 215

Artificial Intelligence DevOps Hardware Virtualization 215

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 214

Storage Latency Efficiency Data Engineering 214

Scalegrid

OCTOBER 17, 2019

Using a connection pool in each module is hardly efficient: Even with a relatively small number of modules, and a small pool size in each, you end up with a lot of server processes. The architecture of a generic connection-pool. However, modern web applications are rarely monolithic, and often use multiple languages and technologies.

Architecture 200

Architecture Database Latency Servers 200

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. However, having a scalable stream processing platform doesn’t help much if you can’t store data in a cost efficient manner.

Infrastructure 239

Infrastructure Transportation Storage Open Source 239

Dynatrace

JANUARY 18, 2023

This methodology aims to improve software system reliability using several key categories such as availability, performance, latency, efficiency, capacity, and incident response. Organizations that are new to both practices will want to adopt a strategy that incorporates both. What is DevOps? What are SLOs?

DevOps 211

DevOps Best Practices Innovation Strategy 211

The Netflix TechBlog

SEPTEMBER 8, 2020

Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this. Being able to canary a new route let us verify latency and error rates were within acceptable limits. Background The Netflix Android app uses the falcor data model and query protocol.

Latency 243

Latency Cache Java Traffic 243

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

NOVEMBER 9, 2023

Kubernetes can be complex, which is why we offer comprehensive training that equips you and your team with the expertise and skills to manage database configurations, implement industry best practices, and carry out efficient backup and recovery procedures.

Efficiency 109

Efficiency Cloud Healthcare Open Source 109

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. AWS continues to improve how it handles latency issues. Dynatrace news.

Lambda 189

Lambda AWS Serverless Hardware 189

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. Most of the business views created on top of the Iceberg tables can tolerate a few minutes of latency. The audits check for equality (i.e.

Big Data 258

Big Data Government Processing Analytics 258

The Netflix TechBlog

OCTOBER 26, 2021

Another strategy to increase effect sizes is to test in new areas of the product, where there may be room for larger improvements in member satisfaction. Say at Netflix that we run a test that aims to reduce some measure of latency, such as the delay between a member pressing play and video playback commencing.

Testing 213

Testing Metrics Latency Design 213

Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. They can also more easily recover from failures and gain a more granular understanding of the user experience.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

FEBRUARY 24, 2021

Reduced latency. Efficiency. If you haven’t implemented either, a best practice to get started is to develop a strategy that incorporates both DevOps and SRE practices. Streamlined change management. Robust emergency response. Accurate capacity planning. Knowing where to start.

DevOps 196

DevOps Software Engineering Speed Google 196

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 175

Cloud Traffic Best Practices Strategy 175

VoltDB

MAY 14, 2024

Balancing Low Latency, High Availability and Cloud Choice Cloud hosting is no longer just an option — it’s now, in many cases, the default choice. While efficient on paper, scaling-related issues usually pop up when testing moves into production. But the cloud computing market, having grown to a whopping $483.9 Why are they refusing?

Latency 52

Latency Availability Cloud Hardware 52

Scalegrid

AUGUST 27, 2024

Learn how RabbitMQ can boost your system’s efficiency and reliability in these practical scenarios. Understanding RabbitMQ as a Message Broker RabbitMQ is a powerful message broker that enables applications to communicate by efficiently directing messages from producers to their intended consumers.

IoT 130

IoT Ecommerce Games Scalability 130

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

The Netflix TechBlog

APRIL 26, 2022

These large unstructured blogs are not efficient for querying, so we need to transform and store this data in a different format to allow efficient queries. One might think that normalizing it would make storage and querying more efficient, albeit at the cost of writing more complex queries.

Storage 197

Storage Design Scalability Latency 197

Scalegrid

FEBRUARY 8, 2024

Data replication strategies like full, incremental, and log-based replication are crucial for improving data availability and fault tolerance in distributed systems, while synchronous and asynchronous methods impact data consistency and system costs. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. past 3 hours or 10 days).

Processing 221

Processing Big Data Efficiency Engineering 221

Scalegrid

MARCH 28, 2024

Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup. Memcached shines in scenarios where a simple, fast, and efficient caching solution is required without data persistence. Memory Efficiency Compared When it comes to memory efficiency, Redis and Memcached have different strengths.

Cache 130

Cache Storage Architecture Scalability 130

Smashing Magazine

NOVEMBER 8, 2021

As developers, we rightfully obsess about the customer experience, relentlessly working to squeeze every millisecond out of the critical rendering path, optimize input latency, and eliminate jank. At the limit, statically generated, edge delivered, and HTML-first pages look like the optimal strategy.

Cache 137

Cache Best Practices Strategy Servers 137

The Netflix TechBlog

NOVEMBER 2, 2021

This enables us to use our scale to increase throughput and reduce latencies. Here, based on the video length, the throughput and latency requirements, available scale etc., Video quality has matured in Cosmos and we are invested in making VQS more flexible and efficient. VQS is called using the measureQuality endpoint.

Media 180

Media Innovation Metrics Latency 180

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. The public cloud provides flexibility and cost efficiency through utilizing a provider’s resources. These include on-premises data centers which offer specific business benefits.

Cloud 130

Cloud Virtualization Storage Efficiency 130

The Netflix TechBlog

DECEMBER 2, 2019

To do this, we have teams of experts that develop more efficient video and audio encodes , refine the adaptive streaming algorithm , and optimize content placement on the distributed servers that host the shows and movies that you watch. The goal is to bring you joy by delivering the content you love quickly and reliably every time you watch.

Metrics 147

Metrics Strategy Testing Efficiency 147