Dynatrace

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Data entering a stream.

Lambda 258

Lambda AWS Serverless Hardware 258

CSS Wizardry

AUGUST 7, 2019

The first—and often most surprising for people to learn—thing that I want to draw your attention to is that TTFB counts one whole round trip of latency. TTFB isn’t just time spent on the server, it is also the time spent getting from our device to the sever and back again (carrying, that’s right, the first byte of data!).

Latency 270

Latency Ecommerce Servers Mobile 270

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. When an application is triggered, it can cause latency as the application starts. This creates latency when they need to restart.

Serverless 246

Serverless Efficiency Lambda AWS 246

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 258

Cache Latency Airlines Logistics 258

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. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. Why is IT operations important?

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. With an on-prem data center, the organization bears the burden of securing the physical infrastructure and its digital assets. What is cloud migration?

Cloud 241

Cloud Traffic Best Practices Strategy 241

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. Benefits of observability.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. 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.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN. million elements.

Latency 222

Latency Traffic Transportation Cloud 222

VoltDB

MAY 14, 2024

Balancing Low Latency, High Availability and Cloud Choice Cloud hosting is no longer just an option — it’s now, in many cases, the default choice. billion , may finally be starting to slow down in the face of companies refusing to fully abandon their in-house data centers. Why are they refusing? When is the cloud a bad idea?

Latency 52

Latency Availability Cloud Hardware 52

DZone

DECEMBER 4, 2019

While Performance Tuning an application both Code and Hardware running the code should be accounted for. Use concurrent data structures only in situations where you have multiple threads accessing the data structure. For low latency, applications use Concurrent Mark and Sweep Algorithm — CMS or G1 GC.

Java 147

Java Tuning Performance Hardware 147

Dynatrace

AUGUST 5, 2019

Before we talk about migrations, we must talk about how we gather the data to make better migration decisions – this is where our OneAgent differentiates itself from other approaches! There is no code or configuration change necessary to capture data and detect existing services. This is LIVE data queryable through an API!

Cloud 38

Cloud Traffic Database Network 38

CSS Wizardry

OCTOBER 27, 2018

Things always always feel fast when we’re developing because, more often than not, we’re working on high-spec machines on dedicated networks, and also serving from localhost which removes the bulk of the latency and bandwidth issues that a real user would suffer. Unfortunately, most issues do not get captured at this point.

Performance Testing 211

Performance Testing Testing Performance Strategy 211

All Things Distributed

JANUARY 18, 2012

s web-based applications often encounter database scaling challenges when faced with growth in users, traffic, and data. Their tables can also grow without limits as their users store increasing amounts of data. Amazon DynamoDB offers low, predictable latencies at any scale. History of NoSQL at Amazon â?? The growth of Amazonâ??s

Scalability 162

Scalability Database Ecommerce Latency 162

All Things Distributed

JULY 20, 2015

To be robust and scalable, this key/value store needs to be distributed for durability and availability, to protect against network partitions or hardware failures. Any write to the data store is committed as a transaction in the journal with a specific order-based ID. latency and stability) with Empire as well as security benefits.

Latency 156

Latency Architecture AWS Open Source 156

The Morning Paper

NOVEMBER 15, 2020

An IDS/IPS monitors network flows and matches incoming packets (or more strictly, Protocol Data Units, PDUs) against a set of rules. This makes the whole system latency sensitive. Regular expression matching is well studied, but state of the art hardware algorithms don’t reach the performance and memory targets needed for Pigasus.

Servers 128

Servers Hardware Latency Design 128

Scalegrid

JANUARY 21, 2025

In todays 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

Scalegrid

APRIL 16, 2020

Since our BYOC plans are hosted through your own AWS or Azure account, all cloud instances, backups and data transfer costs are paid directly through your cloud provider. While this is a good way to get a rough estimate, your monthly cloud costs will indeed vary based on the amount of backups performed and your data transfer activity.

Cloud 242

Cloud Azure AWS Database 242

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

All Things Distributed

MARCH 11, 2016

This is a given, whether you are using the highest quality hardware or lowest cost components. When customers left the constraining, old world of IT hardware and datacenters behind, they started to develop systems with new and interesting usage patterns that no one had ever seen before. Primitives not frameworks. your resource usage.

AWS 127

AWS Hardware Retail Virtualization 127

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. have been released since then with some major changes. Some servers may need a few GBs of RAM, while others may need hundreds of GBs or even terabytes of RAM.

Performance 144

Performance Hardware Tuning Storage 144

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. energy consumption).

Energy 130

Energy Latency Performance Network 130

All Things Distributed

NOVEMBER 15, 2010

For example, the most fundamental abstraction trade-off has always been latency versus throughput. Modern CPUs strongly favor lower latency of operations with clock cycles in the nanoseconds and we have built general purpose software architectures that can exploit these low latencies very well. General Purpose GPU programming.

AWS 125

AWS Programming Latency Architecture 125

All Things Distributed

APRIL 4, 2017

The new region will give Nordic-based businesses, government organisations, non-profits, and global companies with customers in the Nordics, the ability to leverage the AWS technology infrastructure from data centers in Sweden. In making the switch to AWS, WOW air has saved between $30,000 and $45,000 on hardware, and software licensing.

AWS 107

AWS Airlines Latency Games 107

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

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 114

Database Benchmarking Latency C++ 114

Brendan Gregg

JULY 4, 2021

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 121

Performance Latency Hardware Storage 121

John McCalpin

FEBRUARY 17, 2025

In my previous post , I reviewed historical data on single-core/single-thread memory bandwidth in multicore processors from Intel and AMD from 2010 to the present. “Concurrency” is the amount of data that must be “in flight” between the core and the memory in order to maintain a steady-state system.

Latency 40

Latency Hardware Cache Systems 40

Sutter's Mill

FEBRUARY 13, 2017

Tue-Thu Apr 25-27: High-Performance and Low-Latency C++ (Stockholm). On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.”

Latency 48

Latency C++ Hardware Performance 48

All Things Distributed

JULY 14, 2015

DynamoDB Streams is the enabling technology behind two other features announced today: cross-region replication maintains identical copies of DynamoDB tables across AWS regions with push-button ease, and triggers execute AWS Lambda functions on streams, allowing you to respond to changing data conditions. Let me expand on each one of them.

Database 158

Database Lambda AWS IoT 158

The Netflix TechBlog

FEBRUARY 9, 2021

Server-generated assets, since client-side generation would require the retrieval of many individual images, which would increase latency and time-to-render. To reduce latency, assets should be generated in an offline fashion and not in real time. Different assets for different device types and screen sizes.

Engineering 172

Engineering Storage Latency Entertainment 172

Percona

NOVEMBER 2, 2023

Powerful change streams and support for data definition language operations. x: Flexible modification of time-series data. New operators and variables for advanced data transformations. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency.

Best Practices 111

Best Practices Hardware Tuning Scalability 111

The Morning Paper

NOVEMBER 10, 2019

It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. The desire for CPU efficiency and lower latencies is easy to understand. Emphasis mine).

Network 92

Network Transportation Latency Entertainment 92

Abhishek Tiwari

JULY 12, 2018

Building data pipelines can offer strategic advantages to the business. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines. Data pipeline initiatives are generally unfinished projects. In this post, we will discuss why you should avoid building data pipelines in first place.

Latency 63

Latency Analytics Scalability Engineering 63

The Morning Paper

MAY 19, 2019

Last week we learned about the [increased tail-latency sensitivity of microservices based applications with high RPC fan-outs. Seer uses estimates of queue depths to mitigate latency spikes on the order of 10-100ms, in conjunction with a cluster manager. So what we have here is a glimpse of the limits for low-latency RPCs under load.

Latency 80

Latency Hardware Network Architecture 80

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130