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 104

Performance Monitoring Traffic Database 104

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. All these contribute significantly towards ensuring smooth functioning.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

SEPTEMBER 1, 2023

To address these challenges, architects must design robust and scalable MongoDB databases and adopt appropriate sharding strategies that can efficiently handle increasing workloads while ensuring continuous availability. It’s essential to select an appropriate shard key to ensure even data distribution and efficient querying.

Best Practices 71

Best Practices Traffic Database Servers 71

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. What is Hybrid Cloud?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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 ). When used in prevention mode (IPS), this all has to happen inline over incoming traffic to block any traffic with suspicious signatures. Increasing the amount of work we can do on a single unit.

Servers 128

Servers Hardware Latency Design 128

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. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 87

Database Hardware Open Source Strategy 87

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Load balancers can detect when a component is not responding and put traffic redirection in motion.

Availability 107

Availability Database Open Source Hardware 107

Percona

AUGUST 8, 2023

Or worse yet, sometimes I get questions about regaining normal operations after a traffic increase caused performance destabilization. But we can discuss common bottlenecks, how to assess them, and have a better understanding as to why proactive monitoring is so important when it comes to responding to traffic growth.

Traffic 89

Traffic Cache Monitoring Database 89

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

Dynatrace

AUGUST 30, 2019

Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. The second example was around web-server threads, which turned out that the team ran with default settings for Apache (200 worker threads) which was too low for the traffic the government agencies are receiving during business hours.

Cache 193

Cache Architecture Database Government 193

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 92

Open Source Database Hardware Strategy 92

ACM Sigarch

OCTOBER 12, 2020

To be clear, these languages were not designed to be fast or space-efficient, but for ease of use. Unfortunately, languages like Python have proven resistant to efficient implementation, partly because of their design, and partly because of limitations imposed by the need to interop with C code. As Leiserson et al.

C++ 108

C++ Benchmarking Hardware Architecture 108

Percona

FEBRUARY 24, 2023

Making the use of resources efficiently and ensuring that this does not impact the budget available for cloud computing is not a one-time fix but a continuous cycle of picking properly sized resources and eliminating over-provisioning. Over-provisioned instances may lead to unnecessary infrastructure costs.

Cloud 118

Cloud Serverless AWS Storage 118

The Netflix TechBlog

JUNE 4, 2019

The idea CFS operates by very frequently (every few microseconds) applying a set of heuristics which encapsulate a general concept of best practices around CPU hardware use. The second placement looks better as each CPU is given its own L1/L2 caches, and we make better use of the two L3 caches available.

Cache 251

Cache Latency Airlines Logistics 251

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

Dotcom-Montior

NOVEMBER 24, 2021

Software and hardware components are autonomous and execute tasks concurrently. A distributed system comprises of a variety of hardware and software components with different operating systems and technologies, meaning the processors are separate and independent of each other. State is distributed through the system. Concurrency.

Systems 74

Systems Monitoring Hardware Network 74

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud.

Open Source 279

Open Source Network Infrastructure Big Data 279

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

All Things Distributed

AUGUST 16, 2012

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. Making predictions about web traffic is a very difficult endeavor. Total Cost of Ownership. t need them.

AWS 118

AWS Hardware Traffic Best Practices 118

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

JUNE 25, 2019

Therefore, if we want to make full use of one-sided far memory, we need to think carefully about the design of our data structures to make that access efficient. 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.

Design 80

Design Cache Hardware Scalability 80

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. The City of Chicago is one of the first to bring sensors throughout the city that will permanently measure air quality, light intensity, sound volume, heat, precipitation, wind and traffic.

Analytics 135

Analytics Cloud Healthcare Retail 135

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. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. Vikings fight zombies.

Hardware 56

Hardware Latency Virtualization Cloud 56

Dotcom-Montior

NOVEMBER 27, 2018

It helps assess how a site, web application, or API will respond to various traffic, without adding any additional infrastructure. Executing an internal test can tell you how well your application or site handles an increase in traffic, but it will never reflect real-world conditions.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

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. Private Clouds made of commodity hardware are perceived as the logical solution to this problem. Vikings fight zombies.

Hardware 40

Hardware Latency Virtualization Cloud 40

VoltDB

JUNE 29, 2017

However, increasing hardware capacity doesn’t really solve the problem, and it introduces new ones. If increasing hardware is the “work harder” answer to header bidding, then “work smarter” is the better option. DSPs and SSPs need to filter out low-value data quickly and cost-efficiently to free up capacity.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 29, 2017

However, increasing hardware capacity doesn’t really solve the problem, and it introduces new ones. If increasing hardware is the “work harder” answer to header bidding, then “work smarter” is the better option. DSPs and SSPs need to filter out low-value data quickly and cost-efficiently to free up capacity.

Performance 40

Performance Hardware Latency Infrastructure 40

Smashing Magazine

OCTOBER 11, 2022

For example, changing our database architecture to be more efficient could save on server costs. Terabyte of wasted traffic. Hardware And E-Waste. But there are plenty of actions we can take that reduce our environmental impact and reduce costs (or increase revenue) at the same time. On the Fact Sheets page, we can save approx.

Strategy 123

Strategy Development Energy Website 123

Percona

AUGUST 15, 2023

Failover ensures that if the primary MySQL server becomes unavailable due to hardware failure or another issue, the system seamlessly switches to a standby replica. When a problem is detected, these tools automatically redirect traffic to a standby replica. Replication sounds perfect, I can use this as a manual failover solution.

Servers 52

Servers Database Availability Traffic 52

Testsigma

MAY 19, 2021

Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops ). . Sign up Now.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Testsigma

JANUARY 30, 2021

Each smartphone comes with various screen sizes and resolutions, operates on different network speeds, and has different hardware capabilities. Thus, a responsive mobile view of the website will help you rank higher in the search engines and divert more traffic to grow your business. Best Practices For Mobile Website Testing.

Mobile 52

Mobile Testing Website Internet 52

The Morning Paper

MAY 14, 2019

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. E.g., in memcached there are five main internal stages, each of which has a hardware or software queue associated with it.

Big Data 45

Big Data Cloud Performance Hardware 45

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. RDS also simplifies the process of automatic scaling based on workload demand, adding or subtracting replicas to efficiently distribute read requests and reduce costs during low demand.

AWS 52

AWS Database Serverless Storage 52

KeyCDN

AUGUST 15, 2019

Just because everything works perfectly during production testing doesn’t mean that will be the case when your website is flooded with traffic. Bottlenecks can occur, for example, if you have a sudden surge in traffic that your servers are not equipped to handle. What Are the Benefits of Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Dynatrace

APRIL 23, 2019

More efficient SSL/TLS handling for OneAgent traffic. By default, all OneAgent traffic is now routed to your embedded ActiveGate via NGINX on port 443. For OneAgent traffic, the default port has been set to 443 for new clusters only so as to ensure backward compatibility. Additional audit logs for Nodekeeper.

Traffic 23

Traffic Hardware Efficiency Database 23

Dynatrace

AUGUST 5, 2019

Resource consumption & traffic analysis. Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. What is the network traffic going to be between services we migrate and those that have to stay in the current data center?

Cloud 31

Cloud Traffic Database Network 31

KeyCDN

SEPTEMBER 20, 2018

Error monitoring can get increasingly complicated as you deal with bugs reported by users and your production team, which is why having an efficient error tracking workflow from the beginning is so important. More traffic is coming from smart devices every year, so don’t neglect mobile testing! How is Error Tracking Useful?

Strategy 67

Strategy Monitoring Website Google 67