CSS Wizardry

JANUARY 31, 2019

When it comes to network performance, there are two main limiting factors that will slow you down: bandwidth and latency. the maximum rate of data transfer across a given path. Latency is defined as…. how long it takes for a bit of data to travel across the network from one node or endpoint to another. The Time Column.

Latency 133

Latency Network Speed Servers 133

Dynatrace

MAY 17, 2023

OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data. For this third and final part of our series, we saved the best for last: How you can enhance telemetry data even more and with less effort on your end with Dynatrace OneAgent.

Metrics 176

Metrics Monitoring Database Network 176

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. We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe.

Cache 224

Cache Latency Traffic Systems 224

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. 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

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. With Dynatrace actively managing business-critical applications, some of our globally distributed enterprise customers require Dynatrace Managed to continue operating even when an entire data center goes down. Minimized cross-data center network traffic.

Availability 251

Availability Hardware Latency Traffic 251

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Do you have a web server? Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify.

Systems 74

Systems Monitoring Hardware Network 74

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 4, 2023

By using OpenLLMetry and Dynatrace, anyone can get complete visibility into their system, including gen-AI parts with 5 minutes of work.” Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers.

Open Source 262

Open Source Latency Metrics Java 262

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. Optimize resource allocation, identify bottlenecks, and improve overall system performance.

Efficiency 220

Efficiency Virtualization Hardware Performance 220

Dynatrace

DECEMBER 27, 2022

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. This telemetry data serves as the basis for establishing meaningful SLOs. SLOs aid decision making. SLOs promote automation. Reliability.

Software 269

Software Software Benchmarking Latency 269

Dynatrace

JANUARY 17, 2024

An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. Running artificial intelligence models and querying data requires massive amounts of computational resources in the cloud, which results in higher cloud costs. AI performs frequent data transfers.

Strategy 227

Strategy Artificial Intelligence Storage Cloud 227

Dynatrace

MAY 31, 2023

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. Maintaining reliable uptime and consistent service quality has become more complex as organizations expand their computing footprints across multiple data centers and in the cloud.

Best Practices 228

Best Practices DevOps Latency Metrics 228

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. Is my data at home? VLDB’19.

Latency 70

Latency Processing Benchmarking Systems 70

Speed Curve

FEBRUARY 5, 2024

Server-timing headers are a key tool in understanding what's happening within that black box of Time to First Byte (TTFB). Cue server-timing headers Historically, when looking at page speed, we've had the tendency to ignore TTFB when trying to optimize the user experience. I mean, why wouldn't we?

Servers 57

Servers Cache Retail Benchmarking 57

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. Computer operations manages the physical location of the servers — cooling, electricity, and backups — and monitors and responds to alerts.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Smashing Magazine

MAY 16, 2022

Rethinking Server-Timing As A Critical Monitoring Tool. Rethinking Server-Timing As A Critical Monitoring Tool. In the world of HTTP Headers, there is one header that I believe deserves more air-time and that is the Server-Timing header. Setting Server-Timing. Sean Roberts. 2022-05-16T10:00:00+00:00.

Servers 93

Servers Monitoring Cache Network 93

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. However, serverless applications have unique characteristics that make observability more difficult than in traditional server-based applications. Higher latency and cold start issues due to the initialization time of the functions.

Serverless 213

Serverless Lambda Azure AWS 213

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

Cache 126

Cache Performance Servers Social Media 126

Dynatrace

JULY 24, 2023

Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges. We will also explore the evolution of DevOps automation and the significance of data-driven answers in unlocking streamlined, automated DevOps and SRE processes.

DevOps 225

DevOps Traffic Efficiency Servers 225

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform.

Database 212

Database Traffic Transportation Open Source 212

The Morning Paper

NOVEMBER 15, 2020

Achieving 100 Gbps intrusion prevention on a single server , Zhao et al., This stems from a combination of Jevon’s paradox and the interconnectedness of systems – doing more in one area often leads to a need for more elsewhere too. Today’s paper choice is a wonderful example of pushing the state of the art on a single server.

Servers 128

Servers Hardware Latency Design 128

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. Requirements In a previous blog post, we discussed Delta , a data enrichment and synchronization platform.

Database 197

Database Traffic Transportation Open Source 197

High Scalability

JANUARY 11, 2022

When the server receives a request for an action (post, like etc.) from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. The streaming data store makes the system extensible to support other use-cases (e.g.

Design 334

Design Media Storage Logistics 334

Scalegrid

DECEMBER 14, 2023

On an abstract level, whenever you use MongoClient to connect, send, or receive a request, it internally uses predefined timeout options to decide how long the application will wait for an initial connection establishment or the response from the server for your request.

Java 130

Java Network Servers Database 130

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

Percona

NOVEMBER 3, 2023

When it comes to Citus, successfully building out and scaling a PostgreSQL cluster across multiple nodes and even across data centers can feel, at times, to be an art form because there are so many ways of building it out. The following invocation generates almost 4GB of data.

Database 102

Database Benchmarking Latency C++ 102

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. Lastly, error budgets, as the difference between a current state and the target, represent the maximum amount of time a system can fail per the contractual agreement without repercussions. Dynatrace news. A world of misunderstandings.

Automotive 275

Automotive Latency Architecture Azure 275

Dynatrace

SEPTEMBER 29, 2020

A critical component to this success was that the Dynatrace Team itself uses the Dynatrace Platform to monitor every single Dynatrace cluster in the cloud and trusts the Dynatrace Davis AI to alert in case there are any issues, either with a new feature, a configuration change or with the infrastructure our servers are running on.

Infrastructure 182

Infrastructure Cloud Monitoring AWS 182

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

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. Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. What is serverless computing? Pay Per Use.

Serverless 245

Serverless Efficiency Lambda Azure 245

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Data entering a stream. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem?

Lambda 184

Lambda AWS Serverless Hardware 184

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. The CFQ works well for many general use cases but lacks latency guarantees. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Because they had too many data processing systems! ;). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

Scalegrid

JANUARY 8, 2024

By analyzing real-time data, AI-based models can: Adjust the allocation of resources in response to demand Boost business performance Reduce unnecessary expenditures Lead to significant cost savings Improve scalability Operational Efficiency through Automation Automation is a significant way AI enhances cloud operations.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. The more complex a system, the more places to look for clues. In an earlier blog post, we discussed Telltale , our health monitoring system. What is Edgar?

Latency 296

Latency Transportation Engineering Traffic 296