The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! It opens doors to support more exciting use-cases.

Storage 288

Storage Cache Metrics Database 288

The Netflix TechBlog

MARCH 7, 2024

Without these integrations, projects would be stuck at the prototyping stage, or they would have to be maintained as outliers outside the systems maintained by our engineering teams, incurring unsustainable operational overhead. Importantly, all the use cases were engineered by practitioners themselves.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

DECEMBER 21, 2023

Starting with data center capacity and host rightsizing, it quickly became apparent that optimizing applications and their underlying source code was the responsibility of architects and engineers. Implement appropriate caching layers (for example, read-only cache for static data). Reduce inter-process communications overhead.

Cloud 214

Cloud Energy Best Practices Cache 214

Dynatrace

MAY 13, 2022

Once you deploy the Dynatrace extension, Dynatrace ingests your Cassandra metrics and analyzes them in context with the entire stack. From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables). Seeing the value.

Azure 239

Azure Latency Metrics Infrastructure 239

Dynatrace

NOVEMBER 28, 2022

Lambda then takes a snapshot of the memory and disk state of the initialized execution environment, persists the encrypted snapshot, and caches it for low-latency access. Saving your cloud operations and site reliability engineering teams hours of guesswork and manual tagging, the Davis AI engine analyzes billions of events in real time.

Lambda 229

Lambda AWS Serverless Latency 229

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

JANUARY 16, 2023

Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). In general, metrics collectors and providers are most common, followed by log and tracing projects.

Open Source 347

Open Source Java Operating System Programming 347

Dynatrace

NOVEMBER 3, 2021

Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

Percona

AUGUST 8, 2023

Global caches like the InnoDB buffer pool and MyISAM key cache and session-level caches like the sort buffer, join buffer, random read buffer, etc. Global memory caches are static in size as they are defined solely by the configuration of the database itself. Do these queries use more caches?

Traffic 88

Traffic Cache Monitoring Database 88

Scalegrid

AUGUST 30, 2019

Depending on how it is configured, Redis can act like a database, a cache or a message broker. Session Cache: Many websites leverage Redis Strings to create a session cache to speed up their website experience by caching HTML fragments or pages. 8 ranked database on DB-Engines with a score of 144.08. Redis Sets.

Cache 232

Cache Ecommerce Social Media Database 232

Dynatrace

NOVEMBER 29, 2021

When you add the Dynatrace extension to your Lambda functions, Dynatrace begins ingesting their metrics, logs, and traces, which you can monitor and correlate with data from the rest of your stack. In addition to the built-in views, Dynatrace provides data analysis tools that greatly enhance your abilities to query and chart metrics.

Lambda 219

Lambda AWS Serverless Metrics 219

The Netflix TechBlog

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI.

Latency 233

Latency Cache Java Traffic 233

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. Large preview ) We’ve known for a long time that fast page performance influences search engine rankings. SEO is key to our success.

Performance 74

Performance Cache Traffic Metrics 74

Dynatrace

SEPTEMBER 13, 2023

These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 252

AWS Efficiency Azure Cloud 252

The Netflix TechBlog

JULY 1, 2019

As UI engineers we are excited about delivering creative and engaging experiences that help members choose the content they will love so we are always trying to push the limits of our UI. Our UI runs on top of a custom rendering engine which uses what we call a “surface cache” to optimize our use of graphics memory.

Cache 166

Cache Design Testing Development 166

CSS - Tricks

JULY 25, 2019

Cache-Headers missing? Lighthouse records metrics from the browser, applies a scoring model to them, and presents an overall performance score. Guidelines for improvement are suggested based on how specific metrics score. During performance tests, Lighthouse records many metrics focused on what a user sees and experiences.

Google 71

Google Engineering Speed Mobile 71

Percona

MAY 10, 2023

I have seen many Linux Performance engineers looking at the “IOWait” portion of CPU usage as something to indicate whenever the system is I/O-bound. If you only have access to Linux metrics, look at the “b” column in vmstat, which corresponds to processes blocked on disk I/O.

Cache 142

Cache Monitoring Open Source Processing 142

John McCalpin

APRIL 25, 2023

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., On a VE20B (8 cores, 1.6

Benchmarking 97

Benchmarking Cache Latency Tuning 97

HammerDB

JUNE 27, 2022

HammerDB is Free software and consequently engineers should consider not only how they can benefit from using the software but also how they can contribute to the community with code and documentation. The NOPM Metric. When reporting TPROC-C workloads the key metric is known as NOPM or New Orders per Minute. Supported Databases.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers. Virtual Memory utilization was averaging 48 GB of RAM.

Monitoring 97

Monitoring Scalability Cache Database 97

Percona

APRIL 7, 2023

But since retrieving data from disk is slow, databases tend to work with a caching mechanism to keep as much hot data, the bits and pieces that are most often accessed, in memory. In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 135

Tuning Cache Servers Benchmarking 135

All Things Distributed

SEPTEMBER 3, 2013

Amazon ElastiCache is a fully managed, in-memory caching service for customers to optimize the latency, performance and cost of their read workloads. Similar to how we offer multiple engines in Amazon RDS, starting today, we are supporting Redis as a new engine choice in Amazon ElastiCache, in addition to Memcached.

Cache 129

Cache Cloud Performance Retail 129

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 103

Performance Monitoring Traffic Database 103

High Scalability

DECEMBER 18, 2018

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast. Please apply here. Apply here. Need excellent people?

Healthcare 122

Healthcare Best Practices DevOps Cache 122

Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. Using a data-driven approach to size Azure resources, Dynatrace OneAgent captures host metrics out-of-the-box to assess CPU, memory, and network utilization on a VM host.

Azure 193

Azure Monitoring Virtualization Metrics 193

Percona

SEPTEMBER 1, 2023

Key metrics such as CPU usage, memory usage, and disk I/O offer insights into how efficiently your database server operates. Efficient memory management, including optimizing query caches and buffer pools, can help strike the right balance between memory consumption and query response times.

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

NOVEMBER 5, 2019

Microsoft offers a wide variety of tools to monitor applications deployed within Microsoft Azure, and the Azure Monitor suite includes several integration points into the enterprise applications, including: VM agent – Collects logs and metrics from the guest OS of virtual machines. Available as an agent installer). How does Dynatrace fit in?

Azure 139

Azure Artificial Intelligence Metrics Innovation 139

The Netflix TechBlog

OCTOBER 16, 2019

Often the data is held in memory by consumers and used as a “total cache”, where it is accessed at runtime by client code and atomically swapped out under the hood. for example Open Connect Appliance cache configuration, supported device type IDs, supported payment method metadata, and A/B test configuration.

Cache 187

Cache Architecture Metrics Java 187

Dynatrace

AUGUST 12, 2019

With OneAgent installed on an application server, Davis, the Dynatrace AI causation engine, continuously analyzes all database statements within the context of your applications. For each statement, we provide you with 14 metrics. Oracle performance metrics. Dynatrace news.

Database 128

Database Metrics Cache Servers 128

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Disk Caching? — ? Regional caching? —?Netflix Replays? —?More

Media 214

Media Storage Processing Cache 214

The Morning Paper

FEBRUARY 6, 2020

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

Lambda 98

Lambda Serverless Cache Latency 98

HammerDB

APRIL 19, 2023

The table below shows the performance characteristics of both benchmarks captured using the System Activity Reporter (SAR) tool in Linux: sysbench HammerDB sysbench/ HammerDB CPU METRICS cpu_utilization_% 66.83 DISK METRICS sysstat_io_nvme0n1_avg_wait_ms 8.32 NETWORK METRICS sysstat_net_ens260f1_rx_kB/s 38,241 22,700 1.68

Performance 54

Performance Benchmarking Cache Storage 54

Smashing Magazine

JANUARY 11, 2021

LogRocket tracks key metrics, incl. Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Getting Ready: Planning And Metrics. Table Of Contents.

Performance 145

Performance Cache Media Metrics 145

MachMetrics

JUNE 30, 2021

Ever since Google is switching towards “ mobile fast indexing ” it’s very important for a webmaster to keep the pages very well optimized to maintain visitor’s + search engine’s satisfaction level high. Google has made numerous changes in recent years to include user interface as a factor for search engine ranking.

Cache 78

Cache Speed Google Website 78

CSS Wizardry

SEPTEMBER 28, 2023

Passing LCP for metrics’ sake is unwise and against the spirit of web performance. Note that this is not just pixels of decoded image data; the rendered size includes any scaling applied by the rendering engine to display the content. View full size) And from a cold cache, over train wifi as I was writing this post, I got a 2.1s

Games 275

Games Ecommerce Cache Systems 275

Smashing Magazine

JANUARY 6, 2020

Performance isn’t just a technical concern: it affects everything from accessibility to usability to search engine optimization, and when baking it into the workflow, design decisions have to be informed by their performance implications. Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

CSS Wizardry

MAY 19, 2020

It’s widely accepted that self-hosted fonts are the fastest option: same origin means reduced network negotiation, predictable URLs mean we can preload , self-hosted means we can set our own cache-control. This is fast, incredibly well suited to the device in question, and has almost zero engineering overhead. To hell with it!

Google 364

Google Media Latency Metrics 364