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 205

Cache Database Architecture Government 205

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 260

Cache Latency Airlines Logistics 260

Dynatrace

AUGUST 29, 2024

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. IoT is transforming how industries operate and make decisions, from agriculture to mining, energy utilities, and traffic management.

IoT 223

IoT Analytics Transportation Metrics 223

Scalegrid

SEPTEMBER 5, 2024

Each component has a unique function that contributes to uninterrupted service and efficient transition during failover scenarios. Database operations must continue without disruption to ensure high availability, even when faced with hardware or software failures. There was no disruption in the writer application.

Availability 257

Availability Servers Database Open Source 257

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

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 280

Open Source Network Infrastructure Big Data 280

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

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

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This strategy reduces the volume needed during retrieval operations.

Storage 130

Storage Systems Big Data Azure 130

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. This can help to ensure that the website or web application remains available and responsive, even during periods of high traffic.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

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 99

AWS Hardware Traffic Best Practices 99

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 109

Performance Monitoring Traffic Database 109

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.

AWS 127

AWS Hardware Retail Virtualization 127

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

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

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 114

Availability Database Open Source Hardware 114

All Things Distributed

MARCH 7, 2013

Shazam needed to handle an enormous increase in traffic for the duration of the Super Bowl and used DynamoDB as part of their architecture. This allows us to tune both our hardware and our software to ensure that the end-to-end service is both cost-efficient and highly performant.

Ecommerce 123

Ecommerce Storage Scalability Database 123

All Things Distributed

DECEMBER 12, 2018

Winning in this race requires that we become much more customer oriented, much more efficient in all of our operations, and at the same time shift our culture towards more lean and experimental. Vivino also uses Auto Scaling to deal with the large seasonal fluctuations in traffic. Telenor Connexion. Telenor Connexion is all-in on AWS.

AWS 120

AWS Cloud Games Serverless 120

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 111

Analytics Cloud Healthcare Retail 111

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

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 125

Cloud Serverless AWS Storage 125

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 93

Traffic Cache Monitoring Database 93

Scalegrid

AUGUST 30, 2024

When persistent messages in RabbitMQ are encrypted, it ensures that even in the event of unsanctioned access to storage hardware, confidential information stays protected and secure. It is essential during firewall configuration to restrict the number of open ports while managing inbound traffic effectively.

Transportation 130

Transportation Virtualization Strategy Storage 130

All Things Distributed

JANUARY 18, 2012

s web-based applications often encounter database scaling challenges when faced with growth in users, traffic, and data. Behind the scenes, Amazon DynamoDB automatically spreads the data and traffic for a table over a sufficient number of servers to meet the request capacity specified by the customer.

Scalability 164

Scalability Database Ecommerce Latency 164

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 76

Best Practices Traffic Database Servers 76

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

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 99

Open Source Database Strategy Hardware 99

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

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

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

O'Reilly

SEPTEMBER 19, 2023

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Google goes a step further in offering compute instances with its specialized TPU hardware. ” (We’ll miss rush hour traffic.) “What if I bring my duffel bag instead of the roll-aboard?”

Hardware 101

Hardware Storage Big Data Blockchain 101

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

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

VoltDB

APRIL 25, 2024

Organizations that use private cellular networks don’t have to worry about running into performance issues during peak traffic periods. As a result, businesses can optimize network settings, prioritize traffic, and implement protocols that align with their requirements and use cases.

Network 52

Network IoT Wireless Infrastructure 52

Alex Russell

JULY 14, 2021

Meanwhile, on Android, the #2 and #3 sources of web traffic do not respect browser choice. On Android today and early iOS versions, WebViews allow embedders to observe and modify all network traffic (regardless of encryption). Hardware access APIs, notably: Geolocation. Basic navigation and window management features to (e.g.

Google 134

Google Mobile Engineering Internet 134

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