Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. In production, containers are easy to replicate. What is Docker?

Open Source 304

Open Source Traffic DevOps Cloud 304

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Software failure: Software applications can become vulnerable, or they can crash altogether.

Database 92

Database Hardware Open Source Strategy 92

Percona

JUNE 12, 2023

Open source databases provide great foundations for high availability — without the pitfalls of vendor lock-in that can come with proprietary software. However, open source software doesn’t typically include built-in HA solutions. This blog provides links to such architectures — for MySQL and PostgreSQL software.

Architecture 100

Architecture Availability Open Source Healthcare 100

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. Understanding Database Management Systems (DBMS) A Database Management System (DBMS) assists users in creating and managing databases. In a DBMS, data serves as the material which the system stores, structures, and controls.

Efficiency 147

Efficiency Storage Database Scalability 147

The Netflix TechBlog

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. In this blog post, we will focus on the latter feature set.

Latency 213

Latency Traffic Transportation Hardware 213

Percona

AUGUST 8, 2023

As such, one of the more common questions I get from my clients is whether or not their system will be able to endure an anticipated load increase. Or worse yet, sometimes I get questions about regaining normal operations after a traffic increase caused performance destabilization. Let’s take a look at each common resource.

Traffic 92

Traffic Cache Monitoring Database 92

The Morning Paper

NOVEMBER 15, 2020

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. At the end of the day, there are three basic ways we can increase capacity: Increasing the number of units in a system (subject to Amdahl’s law ). IDS/IPS requirements.

Servers 128

Servers Hardware Latency Design 128

Dynatrace

NOVEMBER 29, 2022

The goal of Cloud Automation is for development teams to build better software faster and operations to automate mundane repetitive tasks and focus on innovation. As a result, IT teams can automate and manage processes across on-premises and cloud-based systems, or between multiple cloud services to prevent vendor lock-in.

Infrastructure 174

Infrastructure Code Cloud DevOps 174

Percona

OCTOBER 18, 2023

Limited toolset and features Another challenge that organizations may face when considering open source is the perception that community software versions have a limited set of features. Security and risk The question “ Is Open Source software safe?

Open Source 96

Open Source Database Hardware Strategy 96

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 108

Performance Monitoring Traffic Database 108

Percona

SEPTEMBER 1, 2023

Database architects working with MongoDB encounter specific challenges related to database systems and system growth. Vertical scaling is also often discussed, which involves increasing the resources of a single server, which can have limitations in hardware capabilities and become costly as demands grow.

Best Practices 75

Best Practices Traffic Database Servers 75

All Things Distributed

MARCH 4, 2017

With all the resources we have today, it is easier for us to achieve fault-tolerance than it was many decades ago when computers began playing a role in critical systems such as health care, air traffic control and financial market systems. It was not until the mid-nineties that software fault-tolerance became more acceptable.

Hardware 119

Hardware Traffic Software Software 119

Dynatrace

MAY 1, 2020

From the software perspective, Linux players like RedHat, Ubuntu, and SUSE have already entered this market with fully supported enterprise versions of Linux for ARM. Other distributions like Debian and Fedora are available as well, in addition to other software like VMware, NGINX, Docker, and, of course, Java.

Java 133

Java Hardware Tuning Metrics 133

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. Despite all its upside, PostgreSQL software presents such challenges. PostgreSQL software supports synchronous streaming replication, asynchronous streaming replication, and logical replication.

Availability 88

Availability Open Source Architecture Database 88

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. These essential data points heavily influence both stability and efficiency within the system. offers the Software Watchdog specifically designed for this purpose.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

Dotcom-Montior

MAY 12, 2020

They now allow users to interact more with the company in the form of online forms, shopping carts, Content Management Systems (CMS), online courses, etc. Hardware resources. Software that’s running. Hardware Resources. The list goes on and on. Website and Web Application Monitoring. Connection time. Wi-Fi usage.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

ACM Sigarch

OCTOBER 12, 2020

There’s some work on hardware proposals for these systems, like Zhu et al., They need help tracking down expensive and insidious traffic across the language boundaries (copying and serialization). Is there room for accelerators? Better performance counters that will yield actionable insights? MICRO 15 , Gope et al.,

C++ 108

C++ Benchmarking Hardware Architecture 108

The Morning Paper

MAY 23, 2019

… to realize these insights, hardware needs to access data at object granularity and must have control over pointers between objects. Hotpads is a hardware-managed hierarchy of scratchpad-like memories called pads. Zippads also has the best reduction in main memory traffic : halving the amount of traffic compared to the baseline.

Cache 61

Cache Benchmarking Hardware Java 61

Adrian Cockcroft

NOVEMBER 13, 2023

In the simplest case, you have a growing workload, and you optimize it to run more efficiently so that you don’t need to buy or rent additional hardware, so your carbon footprint stays the same, but the carbon per transaction or operation is going down. they are never really idle. I’ve written before about how to tune out retry storms.

Energy 52

Energy Cloud Traffic Transportation 52

Dotcom-Montior

JUNE 15, 2020

Essentially, all traffic between China and the rest of the world goes through a few national level and a handful of core level access points in different regions. The censorship and monitoring of internet have evolved from anti-virus-like and firewall software to hardware security patches for all devices that uses internet.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52

Brendan Gregg

SEPTEMBER 25, 2021

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. Microbenchmark os::javaTimeMillis() on both systems. include <sys/time.h>

Speed 126

Speed Java AWS Virtualization 126

Testsigma

MAY 19, 2021

DevOps is not a single system, rather it is a combination of many processes – testing, deployment, production, etc – thus, it’s better termed as a ‘distributed infrastructure’. Cloud-based solutions help to easily centralize all the distributed systems and processes and can be managed from the same place anywhere, anytime.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

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

ACM Sigarch

AUGUST 20, 2018

In this post, I argue that software and data interoperability, a hallmark of the modern computer ecosystem, is at the core of several widespread security problems. An alternate approach is to tie data and potentially software to specific physical instances of a digital system. Individualizing digital systems.

Hardware 47

Hardware Operating System Architecture Software 47

HammerDB

OCTOBER 23, 2023

With a simple example such as this, it would not necessarily be expected for the additional network traffic to be significant between the 2 approaches. Stored Procedures and Client SQL comparison To test the stored procedures and client implementations, we ran both workloads against a system equipped with Intel Xeon 8280L.

Benchmarking 62

Benchmarking Database Network C++ 62

All Things Distributed

MARCH 11, 2015

In the past analytics within an organization was the pinnacle of old style IT: a centralized data warehouse running on specialized hardware. With the new BI system the company is able to run analytics across 140 stories per day, in real time, and increase their agility for completing analytics tasks from months to days.

Analytics 135

Analytics Cloud Healthcare Retail 135

All Things Distributed

AUGUST 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. All Things Distributed.

AWS 118

AWS Hardware Traffic Best Practices 118

VoltDB

JUNE 1, 2017

An opening scene involving a traffic jam of Viking boats and a musical number (“Love Can’t Afjord to wait”). Hardware Optimizers” want to get the maximum utilization out of hardware. Telcos and Fortune 500 corporations used to spend years defining custom systems, down to the last cable. Vikings fight zombies.

Hardware 56

Hardware Latency Virtualization Cloud 56

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. When available, it can use hardware level performance counters.

Big Data 45

Big Data Cloud Performance Hardware 45

The Morning Paper

JUNE 25, 2019

This paper is all about the design of efficient data structures for far-memory, which turns out to have consequences reaching all the way down to the hardware. To manage the scalability of notifications the subscribers of the hardware primitives are compute nodes, and a software layer on each compute node demultiplexes incoming notifications.

Design 80

Design Cache Hardware Scalability 80

All Things Distributed

JUNE 28, 2017

At Amazon, we also require our systems and customer solutions to be anti-fragile, and we do that by designing our systems to stand the test of time. Our systems must be able to evolve and become more resilient to failure. It also uses the "minimum-viable-product" approach and relies on microservices for its software.

Innovation 113

Innovation Website Servers Technology 113

Smashing Magazine

OCTOBER 11, 2022

In his recent Smashing Conference talk, green software expert Asim Hussain mentioned that the biggest shift he is seeing is as a result of regulation — or the threat of regulation. Terabyte of wasted traffic. On design systems, UX, web performance and CSS/JS. Hardware And E-Waste. Regulation. With approx.

Strategy 123

Strategy Development Energy Website 123

All Things Distributed

MAY 8, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The software that powers todayâ??s of administrative tasks such as OS and database software patching, storage management, and implementing reliable backup and disaster recovery solutions. All Things Distributed. Expanding the Cloud for Windows Developers.

Cloud 115

Cloud Development AWS Servers 115

VoltDB

JUNE 1, 2017

An opening scene involving a traffic jam of Viking boats and a musical number (“Love Can’t Afjord to wait”). Hardware Optimizers” want to get the maximum utilization out of hardware. Telcos and Fortune 500 corporations used to spend years defining custom systems, down to the last cable. Vikings fight zombies.

Hardware 40

Hardware Latency Virtualization Cloud 40

Adrian Cockcroft

NOVEMBER 11, 2019

A resilient system continues to operate successfully in the presence of failures. The system needs to maintain a safety margin that is capable of absorbing failure via defense in depth, and failure modes need to be prioritized to take care of the most likely and highest impact risks. The first technique is the most generally useful.

Latency 52

Latency Engineering Systems Hardware 52

Particular Software

MARCH 11, 2019

The point is: our businesses can adapt to out-of-order delivery of information so our software should be able to as well. To attempt to apply strict in-order processing would be to impose artificial limitations on our system. Modeling out-of-order messages in software Instead we can use an NServiceBus feature called sagas.

Virtualization 69

Virtualization Scalability Servers Processing 69