SQL Performance

SEPTEMBER 17, 2019

This article will cover many areas that database administrators need to be aware of in order to properly license, recover, and tune a Reporting Services installation. The ReportServer and ReportServerTempDB databases are SQL Server databases and should be part of a regular backup process, just like other user databases. Tuning Options.

Tuning 67

Tuning Servers Database Best Practices 67

Scalegrid

DECEMBER 14, 2023

Having too high of a value here could lead to your application not performing optimally because you are having the system wastefully wait for an unsuccessful attempt at establishing contact again and again which is why testing different values until arriving at one suitable for what your app requires is strongly suggested. x+ in Java).

Java 130

Java Network Servers Database 130

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. Higher latency and cold start issues due to the initialization time of the functions. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces.

Serverless 209

Serverless Lambda Azure AWS 209

Dynatrace

SEPTEMBER 23, 2020

Operating Systems are not always set up in the same way. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. As a consequence, the automatic updates as well as the automatic deep-code monitoring injection processes are even more stable.

Storage 148

Storage Latency Operating System Network 148

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success.

Best Practices 84

Best Practices Hardware Tuning Scalability 84

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform.

Latency 213

Latency Traffic Transportation Hardware 213

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. Stream Processing: to sample or not to sample trace data?

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Scalegrid

MARCH 22, 2024

Crafting Your Multi-Cloud Blueprint Formulating a comprehensive multi-cloud framework is an intricate process that requires a business’s specific requirements, choosing suitable cloud services, and optimizing for performance and affordability. They can also bolster uptime and limit latency issues or potential downtimes.

Strategy 130

Strategy Cloud Government Innovation 130

Percona

AUGUST 10, 2018

Autovacuum is one of the background utility processes that starts automatically when you start PostgreSQL. As you see in the following log, the postmaster (parent PostgreSQL process) with pid 2862 has started the autovacuum launcher process with pid 2868. This may help tune your table level autovacuum settings appropriately.

Tuning 44

Tuning Cache Database Storage 44

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? As defined by Gartner , service-level objectives are an agreed-upon target within an SLA that must be achieved for each activity, function, and process to provide the best opportunity for customer success.

Metrics 193

Metrics Best Practices DevOps Infrastructure 193

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

Monitoring 205

Monitoring Social Media IoT Metrics 205

Dotcom-Montior

NOVEMBER 11, 2020

Developers don’t have to put in additional time to fine-tuning the system, or rely on other teams for support, as it’s done automatically with the cloud provider. Another factor is that serverless applications are distributed, and sometimes across different cloud platforms, making it difficult to manage in the process.

Serverless 57

Serverless Monitoring Lambda Latency 57

The Netflix TechBlog

FEBRUARY 18, 2022

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. In this blog post, we will give an overview of the Rapid Event Notification System at Netflix and share some of the learnings we gained along the way.

Systems 334

Systems Traffic Architecture Mobile 334

The Netflix TechBlog

JUNE 13, 2023

This is where large-scale system migrations come into play. Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process.

Traffic 279

Traffic Metrics Systems Strategy 279

Brendan Gregg

OCTOBER 8, 2018

Created by Alastair Robertson , bpftrace is an open source high-level tracing front-end that lets you analyze systems in custom ways. eBPF (extended Berkeley Packet Filter) is in the Linux kernel and is the new hotness in systems engineering. Pages paged in by process bpftrace -e 'software:major-faults:1 { @[comm] = count(); }'.

C++ 110

C++ Virtualization Programming Latency 110

Abhishek Tiwari

JULY 12, 2018

These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. Depending on frameworks, data processing units (a.k.a In a nutshell, a data pipeline is a distributed system.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly

JANUARY 16, 2024

I’ve recently been brainstorming ideas for how to design such a system and how to deal with the practical challenges of scaling and maintenance. Whenever I paused for too long, ChatGPT would interpret what I said so far as my request and start processing it.

Entertainment 74

Entertainment Internet Internet Design 74

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The first generation of this system went live with the streaming launch in 2007. Delivery?—?A

Serverless 228

Serverless Media Latency Social Media 228

Dynatrace

MAY 17, 2023

Think about items such as general system metrics (for example, CPU utilization, free memory, number of services), the connectivity status, details of our web server, or even more granular in-application tasks like database queries. This leads us to the process page of our specific Apache instance.

Metrics 173

Metrics Monitoring Database Network 173

Dynatrace

JULY 24, 2023

We will also explore the evolution of DevOps automation and the significance of data-driven answers in unlocking streamlined, automated DevOps and SRE processes. Business process automation Business process automation is the foundation for improving operational efficiency. But it doesn’t stop there.

DevOps 222

DevOps Traffic Efficiency Servers 222

The Netflix TechBlog

DECEMBER 21, 2020

There are several benefits of such optimizations like saving on storage, faster query time, cheaper downstream processing, and an increase in developer productivity by removing additional ETLs written only for query performance improvement. Use cases We found several use cases where a system like AutoOptimize can bring tons of value.

Storage 203

Storage Latency Efficiency Data Engineering 203

Brendan Gregg

OCTOBER 7, 2018

Created by Alastair Robertson , bpftrace is an open source high-level tracing front-end that lets you analyze systems in custom ways. eBPF (extended Berkeley Packet Filter) is in the Linux kernel and is the new hotness in systems engineering. Pages paged in by process bpftrace -e 'software:major-faults:1 { @[comm] = count(); }'.

C++ 40

C++ Virtualization Programming Latency 40

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 237

Cloud Media Storage Cache 237

Percona

APRIL 13, 2023

PostgreSQL is a popular open source relational database management system that is widely used for storing and managing data. In PostgreSQL, replication lag can occur due to various reasons such as network latency, slow disk I/O, long-running transactions, etc. What is replication lag? for monitoring replication lag.

Latency 79

Latency Tuning Open Source Network 79

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. With the latest Data Mesh Platform, data movement in Netflix Studio reaches a new stage.

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

MAY 14, 2021

However, they are scattered across multiple systems, and there isn’t an easy way to tie related messages together. You’re joining tables, resolving status types, cross-referencing data manually with other systems, and by the end of it all you ask yourself why? Things got hairy.

Traffic 160

Traffic Latency Java Google 160

Percona

MARCH 23, 2023

As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. Operating system Linux is the most common operating system for high-performance MySQL servers. But also larger log files mean that the recovery process will be slower in case of a crash.

Performance 123

Performance Hardware Tuning Storage 123

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The provider is essentially your system administrator.

Serverless 244

Serverless Efficiency Lambda Azure 244

The Netflix TechBlog

AUGUST 22, 2019

Baking Windows with Packer By Justin Phelps and Manuel Correa Customizing Windows images at Netflix was a manual, error-prone, and time consuming process. We looked at our process for creating a Windows AMI and discovered it was error-prone and full of toil. Last year, we decided to improve the AMI baking process.

DevOps 207

DevOps AWS Tuning Infrastructure 207

Percona

APRIL 7, 2023

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? To be fair, that is also true with PostgreSQL; it hasn’t been tuned either, and it, too, can also perform much better.

Tuning 133

Tuning Cache Servers Benchmarking 133

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.

Media 171

Media Innovation Metrics Latency 171

The Netflix TechBlog

AUGUST 13, 2020

You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Our streaming teams need a monitoring system that enables them to quickly diagnose and remediate problems; seconds count! Our Node team needs a system that empowers a small group to operate a large fleet. By Andrei U.,

Monitoring 210

Monitoring Tuning Traffic Metrics 210

The Netflix TechBlog

AUGUST 29, 2023

For Inter-Process Communication (IPC) between services, we needed the rich feature set that a mid-tier load balancer typically provides. To improve availability, we designed systems where components could fail separately and avoid single points of failure. In 2010, however, nearly none of it existed: the CNCF wasn’t formed until 2015!

Traffic 220

Traffic Latency Cloud C++ 220

Scalegrid

OCTOBER 17, 2019

In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. It is difficult to fault their argument – as it’s absolutely true that: Each client having its own process prevents a poorly behaving client from crashing the entire database.

Architecture 200

Architecture Database Latency Servers 200

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. What about short-lived processes, like a service restarting in a loop? Microbenchmark os::javaTimeMillis() on both systems.

Speed 126

Speed Java AWS Virtualization 126