DZone

MAY 1, 2023

It is a transversal component that applies to all the tech areas and architecture layers such as operating systems, data platforms, backend, frontend, and other components. Caches are very useful software components that all engineers must know.

Cache 141

Cache Strategy Latency Operating System 141

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

The Netflix TechBlog

JUNE 14, 2023

The three strategies we will discuss today are AB Testing , Replay Testing, and Sticky Canaries. Let’s discuss the three testing strategies in further detail. To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render.

Traffic 353

Traffic Latency Cache Metrics 353

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. It is worth noting that this data collection process does not impact the performance of the application.

Latency 246

Latency Storage Strategy Metrics 246

The Netflix TechBlog

JUNE 13, 2023

This is where large-scale system migrations come into play. 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. But what happens when this machinery needs a transformation?

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

DECEMBER 13, 2023

In-app purchases can help to measure the overall effectiveness of your business strategy. User demographics , such as app version, operating system, location, and device type, can help tailor an app to better meet users’ needs and preferences. Load time and network latency metrics. Performance optimization.

Best Practices 190

Best Practices Mobile Metrics Performance 190

The Netflix TechBlog

NOVEMBER 3, 2022

As the number of Titus users increased over the years, the load and pressure on the system increased substantially. cell): Titus Job Coordinator is a leader elected process managing the active state of the system. For example, a batch workflow orchestration system may create multiple jobs which are part of a single workflow execution.

Cache 224

Cache Latency Traffic Systems 224

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

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Dynatrace provides end-to-end observability of AI applications As AI systems grow in complexity, a holistic approach to the observability of AI-powered applications becomes even more crucial.

Cache 199

Cache Azure Infrastructure Monitoring 199

The Morning Paper

SEPTEMBER 3, 2019

SLOG: serializable, low-latency, geo-replicated transactions Ren et al., SLOG is another research system motivated by the needs of the application developer (aka, user!). Building correct applications is much easier when the system provides strict serializability guarantees. VLDB’19.

Latency 70

Latency Processing Benchmarking Systems 70

Dynatrace

FEBRUARY 15, 2023

Streamline development and delivery processes Nowadays, digital transformation strategies are executed by almost every organization across all industries. SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems.

DevOps 211

DevOps Latency Traffic Best Practices 211

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 240

AWS Efficiency Azure Cloud 240

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 195

Artificial Intelligence DevOps Hardware Virtualization 195

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. Automate stress-testing and regulatory reporting requirements.

Analytics 193

Analytics Infrastructure Efficiency Technology 193

Dynatrace

APRIL 7, 2022

Every company has its own strategy as to which technologies to use. Micrometer uses a registry to export metrics to monitoring systems. Dynatrace news. To remain flexible in observing all technologies used in their organization, some companies choose open-source solutions, which allow them to stay vendor-neutral. Here’s how it works.

Metrics 200

Metrics Latency Java Cache 200

Scalegrid

MARCH 28, 2024

Redis’s support for pipelining in a Redis server can significantly reduce network latency by batching command executions, making it beneficial for write-heavy applications. On the other hand, Memcached is ideal for simple caching scenarios where high throughput and low latency are key and where the stored data consists mainly of strings.

Cache 130

Cache Storage Scalability Architecture 130

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 251

Cache Latency Airlines Logistics 251

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued.

DevOps 189

DevOps Analytics Airlines Metrics 189

Dynatrace

APRIL 7, 2022

Every company has its own strategy as to which technologies to use. Micrometer uses a registry to export metrics to monitoring systems. Dynatrace news. To remain flexible in observing all technologies used in their organization, some companies choose open-source solutions, which allow them to stay vendor-neutral. Here’s how it works.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

APRIL 7, 2022

Every company has its own strategy as to which technologies to use. Micrometer uses a registry to export metrics to monitoring systems. Dynatrace news. To remain flexible in observing all technologies used in their organization, some companies choose open-source solutions, which allow them to stay vendor-neutral. Here’s how it works.

Metrics 130

Metrics Latency Java Cache 130

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 are SLOs?

DevOps 190

DevOps Best Practices Innovation Strategy 190

Scalegrid

JANUARY 8, 2024

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

NOVEMBER 3, 2021

Logging provides additional data but is typically viewed in isolation of a broader system context. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. Monitoring typically provides a limited view of system data focused on individual metrics.

Monitoring 213

Monitoring Metrics DevOps Scalability 213

Dynatrace

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests.

Lambda 175

Lambda AWS Serverless Hardware 175

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. 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.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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 202

Testing Latency Metrics Innovation 202

Scalegrid

OCTOBER 17, 2019

On modern Linux systems, the difference in overhead between forking a process and creating a thread is much lesser than it used to be. However, all of these problems are well-discussed in the PostgreSQL community, and mitigation strategies ensure the pros of a connection pooler far exceed their cons.

Architecture 200

Architecture Database Latency Servers 200

The Netflix TechBlog

NOVEMBER 2, 2021

The coupling problem Until recently, video quality measurements were generated as part of our Reloaded production system. This system is responsible for processing incoming media files, such as video, audio and subtitles, and making them playable on the streaming service. We call this system Cosmos. The workflow is initiated.

Media 171

Media Innovation Metrics Latency 171

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. By incorporating journaling into MongoDB, data integrity is maintained while reducing latency for writing, ultimately improving the overall stability and performance of the database.

Database 130

Database Network Servers Monitoring 130

Dynatrace

SEPTEMBER 30, 2021

A cloud migration strategy, however, provides technical optimization that’s also firmly rooted in the business value chain. Migrating to the cloud is a strategy many organizations pursue to streamline and consolidate their security efforts. This can dramatically decrease network latency and its effect on the end-user experience.

Cloud 160

Cloud Traffic Best Practices Strategy 160

The Netflix TechBlog

JULY 21, 2022

It also prevents the system running out of memory during execution of the query. Striking a balance between driver and executor memory configurations in SparkSQL-like systems. Too high allocations may fail and restrict system processes. Restricting Testing and Analysis to one day and device at a time. Labeling the data?

Big Data 179

Big Data Cache Engineering Data Engineering 179

The Netflix TechBlog

FEBRUARY 9, 2021

The whole system was quite complex, and starting to become brittle. The API server orchestrates backend systems to authenticate the user. Upstream systems had to reopen the tokens to identify the user logging in and potentially manage multiple parallel identity data structures, which could easily get out of sync.

Architecture 221

Architecture Latency Servers Website 221

Percona

DECEMBER 11, 2023

DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads. This segregation facilitates optimized I/O operations, preventing potential bottlenecks and enhancing overall system performance. Who can benefit from DLV?

AWS 96

AWS Benchmarking Performance Traffic 96

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. Ready to supercharge your MongoDB experience?

Best Practices 87

Best Practices Hardware Tuning Scalability 87

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 233

Latency Cache Java Traffic 233

The Morning Paper

SEPTEMBER 10, 2019

Google already has Dremel , Mesa , Photon , F1 , PowerDrill , and Spanner , so why did they need yet another data processing system? Because they had too many data processing systems! ;). And given the growing scale of YouTube, some of those backend systems were starting to creak. Procella system overview. are divided.

Analytics 75

Analytics Latency Cache Google 75