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. Dynatrace news. What is AWS Lambda? How does AWS Lambda work?

Lambda 180

Lambda AWS Serverless Hardware 180

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers.

Latency 52

Latency Hardware Cache Architecture 52

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Inside, you will learn: Why you should upgrade MongoDB Staying with outdated MongoDB versions can expose you to critical security vulnerabilities, suboptimal performance, and missed opportunities for efficiency. Powerful change streams and support for data definition language operations. x: Flexible modification of time-series data.

Best Practices 91

Best Practices Hardware Tuning Scalability 91

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++.” Description.

Latency 51

Latency C++ Hardware Performance 51

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 251

Cache Latency Airlines Logistics 251

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. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. What is cloud migration?

Cloud 165

Cloud Traffic Best Practices Strategy 165

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 107

Performance Monitoring Traffic Database 107

The Morning Paper

NOVEMBER 15, 2020

Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). 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. IDS/IPS requirements.

Servers 128

Servers Hardware Latency Design 128

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

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.

Network 92

Network Transportation Latency Entertainment 92

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 Infrastructure 363

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

Percona

APRIL 17, 2023

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. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. For example: $ /opt/mongodb/4.0.6/bin/mongos

Best Practices 52

Best Practices Design Tuning Database 52

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

Dotcom-Montior

NOVEMBER 24, 2021

A three-tier system is a software application architecture that consists of a presentation layer, application layer, and data, or core, layer. Software and hardware components are autonomous and execute tasks concurrently. For example, this can lead to data synchronization issues and node failures. Three-Tier. Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

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

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

The Morning Paper

DECEMBER 10, 2019

…software operating on persistent data structures requires "global" pointers that remain valid after a process terminates, while hardware requires that a diverse set of devices all have the same mappings they need for bulk transfers to and from memory, and that they be able to do so for a potentially heterogeneous memory system.

Hardware 52

Hardware Virtualization Operating System Programming 52

The Morning Paper

JANUARY 28, 2020

Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " User functions need to be isolated from each other, and from the parts of the data that they shouldn’t be allowed to see. In databases you probably know it as stored procedures.

Serverless 99

Serverless Storage Latency Cloud 99

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

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation.

Big Data 45

Big Data Cloud Performance Hardware 45

The Morning Paper

NOVEMBER 5, 2019

Breaking that assumption allowed Ceph to introduce a new storage backend called BlueStore with much better performance and predictability, and the ability to support the changing storage hardware landscape. Readers of this blog properly have a pretty good idea what ‘efficient transactions’ and ‘fast metadata operations’ are all about.

Storage 64

Storage Systems Hardware Efficiency 64

The Morning Paper

MARCH 17, 2020

most recently ‘ Efficient lock-free durable sets ‘). The data we have collected demonstrate that many of the assumptions that researchers have made about how NVDIMMs would behave and perform are incorrect. Once data has reached these queues it is durable. The read latency for Optane is 2x-3x higher than DRAM.

Scalability 59

Scalability Latency Cache Media 59

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Latency Optimizers” – need support for very large federated deployments.

Hardware 56

Hardware Latency Virtualization Cloud 56

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

The Morning Paper

MAY 28, 2019

We don’t talk about energy as often as we probably should on this blog, but it’s certainly true that our data centres and various IT systems consume an awful lot of it. The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. Introducing race logic.

Energy 52

Energy Hardware Efficiency Architecture 52

The Morning Paper

MAY 21, 2019

This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions. Google’s “far” memory it turns out is exactly the same memory, but with compressed data stored in it! The opportunity.

Software 78

Software Software Google Hardware 78

Highly Scalable

SEPTEMBER 18, 2012

Although it can hardly be said that NoSQL movement brought fundamentally new techniques into distributed data processing, it triggered an avalanche of practical studies and real-life trials of different combinations of protocols and algorithms. Data Placement. Data Placement. Data Consistency. Read/Write latency.

Database 213

Database Latency C++ Scalability 213

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

VoltDB

JUNE 29, 2017

Most existing adtech infrastructure simply can not achieve the required latency. VoltDB provides the necessary technology to achieve the latency required by header bidding. This surge in impressions will strain or break existing infrastructure, which wasn’t architected to handle data at this scale.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 29, 2017

Most existing adtech infrastructure simply can not achieve the required latency. VoltDB provides the necessary technology to achieve the latency required by header bidding. This surge in impressions will strain or break existing infrastructure, which wasn’t architected to handle data at this scale.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Latency Optimizers” – need support for very large federated deployments.

Hardware 40

Hardware Latency Virtualization Cloud 40

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. This data set is derived by walking a subset of web platform features exposed to JavaScript and, as such, may not capture the full richness of a particular browser. Reduces data use and improves page load performance.

Media 145

Media Games Education Engineering 145

Alex Russell

JANUARY 30, 2024

Until and unless teams have better data about their performance, the global baseline budget should be enforced. HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. Geekbench 5 single-core scores for each mobile price point."

Performance 90

Performance Network Mobile Speed 90

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Automated Backups and Point-in-Time Recovery Aurora provides automated backup and point-in-time recovery, simplifying backup management and data protection.

AWS 52

AWS Database Serverless Storage 52

HammerDB

OCTOBER 8, 2018

This limitation is at the database level rather than the hardware level, nevertheless with up to date hardware (from mid-2018) PostgreSQL on a 2 socket system can be expected to deliver more than 2M PostgreSQL TPM and 1M NOPM with the HammerDB TPC-C test. . CPUs which run at the same hardware frequency: 0. Latency: 0.

Best Practices 40

Best Practices Scalability Performance Hardware 40

John McCalpin

JANUARY 22, 2018

For 64-bit floating-point data, the 512-bit Fused Multiply-Add (FMA) instructions performs 16 floating-point operations (8 adds and 8 multiplies). Each of the two vector units can issue one FMA instruction per cycle, assuming that there are enough independent accumulators to tolerate the 6-cycle dependent-operation latency.

Latency 40

Latency Hardware Code Testing 40