Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130

Metrics Monitoring Latency Cache 130

Scalegrid

DECEMBER 14, 2023

For example, if there’s some trouble connecting due to networking problems or excessive load requests from customers present on the server’s side, that might result in a resolution-related delay causing a subsequent timeout problem. Fine-tuning these settings would lead to improved performance and provide an enhanced user experience. <p>The

Java 130

Java Network Servers Database 130

Percona

FEBRUARY 15, 2023

A bloom filter is a space-efficient way of storing information about a list of keys. If all the bits are “1”, the value may be present. Tuning In terms of tuning, two parameters can be tuned, the size of the bitmap and the number of bits set by every value.

Storage 127

Storage Tuning Cache Engineering 127

Dynatrace

MAY 12, 2022

To stay tuned, keep an eye on our release notes. Reintroduced a limit of 100,000 process group instances (last 72h) running on hosts presented on the “Deployment status” page for OneAgents. (APM-370529). Classic user sessions page end-of-life. New features and enhancements. Application Security. APM-365567). APM-370529).

Tuning 193

Tuning Metrics Cloud Mobile 193

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring. Nevertheless, this integration can present certain challenges to organizations.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

The Netflix TechBlog

NOVEMBER 9, 2021

by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources.

Media 246

Media Open Source Efficiency Software Engineering 246

The Netflix TechBlog

AUGUST 10, 2020

and thus fall back to less efficient encode families. Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families. Further tuning of pre-defined encoding parameters. One such encode family that has wide decoder support amongst legacy devices is our H.264/AVC

Innovation 239

Innovation Traffic Network Efficiency 239

Dynatrace

APRIL 25, 2023

Observability challenges in serverless applications can be therefore categorized into: Data collection : how to collect metrics, logs and traces from serverless functions efficiently, reliably, and consistently? Understanding cold-start behavior is essential to tune your cloud applications cost or performance to meet your operational needs.

Serverless 208

Serverless Lambda Azure AWS 208

Percona

NOVEMBER 2, 2023

Inside, you will learn: Why you should upgrade MongoDB Staying with outdated MongoDB versions can expose you to critical security vulnerabilities, suboptimal performance, and missed opportunities for efficiency. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency.

Best Practices 88

Best Practices Hardware Tuning Scalability 88

Dynatrace

AUGUST 28, 2020

The other perspective that’s presented on the Azure Automation dashboard is the state of your deployment runs. Azure Data Factory is a hybrid data integration service that enables you to quickly and efficiently create automated data pipelines—without writing any code. What’s next?

Azure 155

Azure Cloud Tuning Monitoring 155

Adrian Cockcroft

NOVEMBER 26, 2023

SUS101: Sustainability innovation in AWS Global Infrastructure AWS is determined to make the cloud the cleanest and most energy-efficient way to run customers’ infrastructure and business. This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint.

AWS 52

AWS Energy IoT Best Practices 52

The Netflix TechBlog

JULY 20, 2020

The application is a combination of neural embeddings , which encode the semantic information in words and sentences, and locality sensitive hashing , which efficiently assigns approximately nearby items to the same buckets and faraway items to different buckets. 2, 1, 1, 1, 0, 0, 0, 0, 0, …] Notice that the vector consists of many zeros.

Development 177

Development Open Source Tuning Network 177

Dynatrace

JUNE 8, 2021

Continuous improvement of services is the most efficient process for all teams that are looking to improve the performance of their applications by considering all layers of their architecture. For example, an athlete must be in tune with their body to know when something isn’t operating right which could impact their future performance.

Metrics 167

Metrics Tuning Programming Systems 167

Smashing Magazine

NOVEMBER 8, 2021

Getting fast initial render with streaming server-side rendering, efficient component-level updates and state transitions, while also setting up a performant loading and bundling strategy for all the assets is hard and time-consuming technical work. Stay tuned for more in 2022! Large preview ). Curious to give it a try?

Cache 135

Cache Best Practices Strategy Servers 135

SQL Performance

MARCH 17, 2020

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. I will be looking for distinct values in the BountyAmount column of the dbo.Votes table, presented in bounty amount order ascending. This is very efficient, as confirmed by the elapsed time of 13ms (all of which is CPU time). Test Environment.

Servers 86

Servers Tuning Database Efficiency 86

The Netflix TechBlog

OCTOBER 18, 2019

In this talk, Kinjal used the example of the LinkedIn Feed, to demonstrate how they use bandit algorithms to solve for the optimal parameter selection problem efficiently. He concluded by stressing the efficiency their teams had achieved by doing online parameter exploration instead of the much slower human-in-the-loop manual explorations.

Infrastructure 126

Infrastructure Metrics Architecture Efficiency 126

Percona

FEBRUARY 24, 2023

To achieve this in a secure and efficient manner, a key requirement for any database monitoring and management software is to have robust access management features. It’s currently part of our roadmap, so please stay tuned for upcoming releases of PMM and keep an eye on the release notes.

Metrics 107

Metrics Monitoring Database Engineering 107

The Netflix TechBlog

OCTOBER 18, 2019

In this talk, Kinjal used the example of the LinkedIn Feed, to demonstrate how they use bandit algorithms to solve for the optimal parameter selection problem efficiently. He concluded by stressing the efficiency their teams had achieved by doing online parameter exploration instead of the much slower human-in-the-loop manual explorations.

Infrastructure 100

Infrastructure Metrics Architecture Efficiency 100

The Morning Paper

OCTOBER 18, 2020

How can learned sort be adapted to make it cache-efficient? Radix Sort is carefully designed to make effective use of the L2 cache and sequential memory accesses, whereas Learned Sort is making random accesses all over the destination array. Sympathy for the machine.

Cache 137

Cache C++ Java Tuning 137

Dynatrace

OCTOBER 23, 2023

Communicating security insights efficiently across teams in your organization isn’t easy Security management is a complex and challenging task; effectively communicating security insights is even more so. Sample dashboard Next, you want to prepare an efficient plan for remediation.

Efficiency 212

Efficiency Best Practices Tuning Internet 212

The Morning Paper

JUNE 13, 2019

HotOS’19 is presenting me with something of a problem as there are so many interesting looking papers in the proceedings this year it’s going to be hard to cover them all! We’d like to pack models as efficiently as possible on the underlying infrastructure. A case for managed and model-less inference serving Yadwadkar et al.,

Hardware 58

Hardware Latency Serverless Energy 58

The Netflix TechBlog

AUGUST 17, 2023

The tool provides an efficient way for creatives (photo editors, artwork designers, etc.) With the AVA Discovery View, all the prominent characters of the title and their best possible shots are presented to the creatives. Each algorithm needed a process of evaluation and tuning to get great results in AVA Discovery View.

Media 169

Media Scalability Architecture Strategy 169

The Netflix TechBlog

JUNE 13, 2023

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

MARCH 11, 2021

During the implementation of the real-time visualization I presented in part three , I had an idea for another visualization; I wanted to visualize the number of detected problems globally, for a longer timeframe. I wanted to understand how I could tune Dynatrace’s problem detection, but to do that I needed to understand the situation first.

Tuning 263

Tuning Architecture Monitoring Big Data 263

Smashing Magazine

JUNE 3, 2022

Our focus is on typefaces for reading large amounts of text and information in the most efficient, legible, pleasurable, comprehensible, and effective way possible. They all have to work well together to bring an ideal and effective final presentation. Stay tuned! Measuring The Performance Of Typefaces For Users (Part 1).

Performance 110

Performance Design Best Practices Testing 110

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 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

OCTOBER 27, 2020

Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. For how our machine learning recommendation systems leverage our key-value stores, please see more details on this presentation. As most key-value storage engines support efficiently deleting a namespace (e.g.

Latency 243

Latency Storage Big Data Tuning 243

Dynatrace

NOVEMBER 23, 2020

T o get performance insights into applications and efficiently troubleshoot and optimize them, you need precise and actionable analytics across the entire software life cycle. If there is no OneAgent present, all you have to do is to provide the endpoint URL of your Dynatrace ActiveGate or Cluster and an API token. What’s next.

Metrics 151

Metrics Open Source Tuning Analytics 151

Dynatrace

MAY 17, 2022

This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands. Stay tuned for more awesome Dynatrace Kubernetes announcements throughout the year. At present, we’re working on quick and easy Kubernetes alerting configurations for common platform and application issues.

Availability 317

Availability Scalability Cloud Metrics 317

Dynatrace

MAY 20, 2020

Every metric has metadata properties that are important for efficiently querying data. By default, the response is presented in JSON format. If you need CSV-formatted output, you can easily set the Content-Type header in the request to “ text/csv; header=present; charset=utf-8". POST /api/v2/metrics/query?metricSelector=builtin:host.disk.avail.

Metrics 227

Metrics Operating System Tuning Monitoring 227

Dynatrace

SEPTEMBER 28, 2020

I wanted to present as much information as possible. This is where the consolidated API, which I presented in my last post , comes into play. Getting the problem status of all environments has to be efficient. Websockets allows efficient data push via multicast to browsers and D3.js Lightweight architecture. js framework.

Storage 207

Storage Architecture Tuning Efficiency 207

Percona

OCTOBER 18, 2023

This is where you will fine-tune authentication mechanisms, storage paths, security policies, and memory allocation settings to optimize them for your specific use case(s). Performance tuning The first critical move in performance tuning is query optimization. Once you’ve made your choice (MySQL, PostgreSQL, etc.),

Open Source 93

Open Source Database Hardware Strategy 93

Dynatrace

MAY 15, 2020

But outdated security practices pose a significant barrier even to the most efficient DevOps initiatives. Dynatrace knows it is not part of the system because the AI has detected an unusual increase in CPU resource consumption, and we see this process was not present the day before.

Government 226

Government DevOps Infrastructure Network 226

The Netflix TechBlog

JANUARY 10, 2024

Moving away from the use of dedicated instances that were constrained in quantity, we tapped into Netflix’s internal trough created due to autoscaling microservices, leading to significant improvements in computation elasticity as well as resource utilization efficiency. depending on the use case.

Processing 229

Processing Media Latency Innovation 229

SQL Performance

DECEMBER 9, 2020

I’ll present the performance tests that I’ve done with my solution. Given that batch processing is all about improving CPU efficiency, especially when dealing with large numbers of rows, it’s worthwhile to try this option. So, my tuning efforts ended up yielding an improvement of 43.5 There could be many others.

C++ 114

C++ Servers Testing Processing 114

SQL Performance

JANUARY 23, 2020

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006. The Top Queries That Weren't.

Tuning 115

Tuning Servers Monitoring Hardware 115

Edge Perspectives

AUGUST 5, 2019

In our research on the Big Shift that is transforming the global economy, we’ve come to believe that all our institutions will need to make a fundamental shift from a scalable efficiency model to a scalable learning model. In this model, the primary focus is how to perform complex tasks very efficiently and reliably at scale.

Strategy 17

Strategy Scalability Efficiency Programming 17