Percona

JUNE 22, 2023

Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for. 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.

Performance 104

Performance Monitoring Traffic Database 104

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider.

Traffic 173

Traffic Latency Website Virtualization 173

Scalegrid

JANUARY 19, 2024

Data-bearing members face a higher risk of encountering issues caused by rollbacks, compared to others who utilize different storage methods. For example, memory-resident databases without persistent disks, such as Redis cluster setups or Apache Spark installations, rely on stand-alone machines.

Database 130

Database Network Servers Monitoring 130

The Netflix TechBlog

NOVEMBER 22, 2019

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 100

AWS Entertainment Open Source Benchmarking 100

Percona

SEPTEMBER 1, 2023

This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Key metrics such as CPU usage, memory usage, and disk I/O offer insights into how efficiently your database server operates. Avoid over-indexing, which can bloat storage and slow writes.

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

MAY 21, 2024

That’s because it does not require any pre-prepared schemas, and access to cold/hot storage is fully automatic and with zero latency. Automated root-cause analysis and real-time risk analysis are only two examples that help executives get closer to the vision of self-healing operations and security.

Technology 189

Technology Technology Analytics Storage 189

The Morning Paper

SEPTEMBER 5, 2019

Datadog handles a ton of metrics – some customers have endpoints generating over 10M points per second! For response times (latencies) reporting a simple metric such as ‘average’ is next to useless. Instead we want to understand what’s happening at different latency percentiles (e.g And look how noisy the sketch is!

Latency 52

Latency Metrics Open Source Java 52

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

Adrian Cockcroft

APRIL 18, 2018

In reality, in any non-trivial installation, there are multiple tools collecting, storing and displaying overlapping sets of metrics from many types of systems and different levels of abstraction. This is true for CPU, network, memory and storage, and also for bare metal, virtual machines, containers, processes, functions and threads.

Monitoring 40

Monitoring Systems Virtualization Metrics 40

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. But how do you get started, and what are some service level objective examples? In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider. Thus, an ApDex score of 0.85

Latency 176

Latency Website Traffic Virtualization 176

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. The results are then evaluated using specific metrics to determine whether the hypothesis is valid.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace news.

AWS 136

AWS Metrics IoT Storage 136

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace news.

AWS 133

AWS Metrics IoT Storage 133

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput. This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

The Netflix TechBlog

NOVEMBER 22, 2019

In this session, we discuss the technologies used to run a global streaming company, growing at scale, billions of metrics, benefits of chaos in production, and how culture affects your velocity and uptime. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges.

AWS 37

AWS Entertainment Open Source Benchmarking 37

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. Scenario : For many B2B SaaS companies, the number of reported customers is an important metric.

DevOps 193

DevOps Analytics Airlines Metrics 193

The Netflix TechBlog

SEPTEMBER 2, 2020

Example call graph in Edgar In some cases, the question we’re answering is, “What’s happening right now??” This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics).

Latency 296

Latency Transportation Engineering Traffic 296

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. A similar analysis can be performed on your GRO. What’s next?

Availability 246

Availability Hardware Latency Traffic 246

Percona

DECEMBER 26, 2023

This PoC demonstrates how to install and configure pg_stat_monitor in order to extract useful and actionable metrics from a PostgreSQL database and display them on a Grafana dashboard. Installation (example: CENTOS8, pg14) The simplest way to get pg_stat_monitor is to install it via Percona Distribution for PostgreSQL.

Benchmarking 122

Benchmarking Metrics C++ Database 122

Dynatrace

DECEMBER 22, 2021

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.

Artificial Intelligence 177

Artificial Intelligence Metrics Architecture DevOps 177

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. This enables us to use our scale to increase throughput and reduce latencies.

Media 171

Media Innovation Metrics Latency 171

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

APRIL 9, 2015

AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Amazon EFS is a fully-managed service that makes it easy to set up and scale shared file storage in the AWS Cloud. With Amazon EFS, there is no minimum fee or setup costs, and customers pay only for the storage they use.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

JUNE 21, 2018

Airbnb is a great example of a customer building high-performance and scalable applications with Amazon Aurora. Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values.

Database 167

Database AWS Games Latency 167

Percona

JULY 1, 2023

It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best. While RDS MySQL supports multiple storage engines with varying capabilities, not all of them are optimized for crash recovery and data durability.

AWS 52

AWS Database Serverless Storage 52

The Morning Paper

OCTOBER 10, 2019

The foundation of Pinterest’s approach to learning embeddings is classification based, following the architecture described in ‘[Classification is a strong baseline for deep metric learning][ClassificationForDL].’ For example, turning a grayscale value into either black or white. either 1 or 0) that collapses the range into two poles.

Latency 58

Latency Storage Architecture Traffic 58

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. There are certain metrics to be considered for a user to have a hassle-free experience. Network latency. Network Latency. Network latency can be affected due to. The list goes on and on. Connection time.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Highly Scalable

SEPTEMBER 18, 2012

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. Read/Write latency. Read/Write requests are processes with a minimal latency. This approach is used for example in Cassandra.

Database 213

Database Latency C++ Scalability 213

Percona

APRIL 7, 2023

Here’s how the same test performed when running Percona Distribution for PostgreSQL 14 on these same servers: Queries: reads Queries: writes Queries: other Queries: total Transactions Latency (95th) MySQL (A) 1584986 1645000 245322 3475308 122277 20137.61 MySQL (B) 2517529 2610323 389048 5516900 194140 11523.48

Tuning 135

Tuning Cache Servers Benchmarking 135

The Morning Paper

MARCH 17, 2020

higher latency and lower bandwidth)… We have found the actual behavior of Optane DIMMs to be more complicated and nuanced than the "slower, persistent DRAM" label would suggest. The read latency for Optane is 2x-3x higher than DRAM. Optane DIMMs are here! Optane memory is also more pattern-dependent than DRAM. to 0.98.

Scalability 59

Scalability Latency Cache Media 59

All Things Distributed

JANUARY 18, 2012

Amazon DynamoDB offers low, predictable latencies at any scale. In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform. s read latency, particularly as dataset sizes grow. The growth of Amazonâ??s

Scalability 167

Scalability Database Ecommerce Latency 167

O'Reilly Software

APRIL 30, 2018

Modern hybrid applications typically utilize public cloud components, including content delivery networks and cloud storage. For example, when a site location is experiencing connectivity issues, managed DNS would redirect to an alternate site, automatically. Each lookup incurs a small, incremental amount of latency.

Cloud 68

Cloud Traffic Internet Internet 68

HammerDB

NOVEMBER 5, 2018

Additionally for the log disk component it is latency for an individual write that is crucial rather than the total I/O bandwidth. As HammerDB supports graphical metrics for Oracle, this provides the best illustration however the concepts apply in general terms to all databases. A good example of how tuning is an iterative process.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Alex Russell

MARCH 6, 2021

The scale of the effect can be deeply situational or hard to suss out without solid metrics. A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The Moto G4 , for example. Baselines And Budgets Remain Vital.

Performance 124

Performance Network Cache Metrics 124

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. Systems that have an identifiable capacity trend, for example are filling up disk space at a predictable rate, have a “time to live” (TTL) that can be calculated.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. Systems that have an identifiable capacity trend, for example are filling up disk space at a predictable rate, have a “time to live” (TTL) that can be calculated.

Latency 53

Latency Engineering Systems Hardware 53