Percona

NOVEMBER 9, 2023

But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. have adopted Kubernetes.

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

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 ). So before matching, the IDS/IPS has to reconstruct a TCP bytestream in the face of packet fragmentation, loss, and out-of-order delivery – a process known as reassembly.

Servers 128

Servers Hardware Latency Design 128

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. As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. Refer to innodb_redo_log_capacity below.

Performance 123

Performance Hardware Tuning Storage 123

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 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. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. A finely tuned database processes queries more efficiently, leading to swifter results. MySQL relies heavily on the availability of hardware resources to perform at its best.

Tuning 52

Tuning Database Performance Hardware 52

Dotcom-Montior

MAY 12, 2020

A request will be sent from the client-side and an HTTP check waits on the server port to get the message, process it, and then send back the response. Network latency. Hardware resources. Processing and generating the response. Network Latency. Network latency can be affected due to. Hardware Resources.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

All Things Distributed

MARCH 11, 2016

Looking back over the past 10 years, there are hundreds of lessons that we’ve learned about building and operating services that need to be secure, reliable, scalable, with predictable performance at the lowest possible cost. This is a given, whether you are using the highest quality hardware or lowest cost components.

AWS 144

AWS Hardware Retail Virtualization 144

Dotcom-Montior

NOVEMBER 24, 2021

Each process has its own independent memory that it works with. Software and hardware components are autonomous and execute tasks concurrently. For everything to work together in harmony, middleware is used to act as the conduit between these different hardware and software components. Scalability. No Shared Memory.

Systems 74

Systems Monitoring Hardware Network 74

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

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

Dotcom-Montior

NOVEMBER 11, 2020

Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Scalability. Benefits of a Serverless Model.

Serverless 57

Serverless Monitoring Lambda Latency 57

Abhishek Tiwari

JULY 12, 2018

These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. Depending on frameworks, data processing units (a.k.a A data pipeline is a software which runs on hardware.

Latency 63

Latency Analytics Scalability Engineering 63

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. driver: intel_pstate CPUs which run at the same hardware frequency: 0 . maximum transition latency: Cannot determine or is not supported. . hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40

Highly Scalable

SEPTEMBER 18, 2012

Scalability is one of the main drivers of the NoSQL movement. 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. Read/Write latency.

Database 213

Database Latency C++ Scalability 213

High Scalability

SEPTEMBER 14, 2018

events processed to date 300k+ users globally 50% of the Fortune 100 use @pagerduty 10,500+ customers of every size 300+ integrations ?? SCM slots between DRAM and flash in terms of latency, cost, and density. They'll love you even more. RachFrieee : 3.6B Enterprise grade security #PDSummit18 @jenntejada. So many more quotes.

Internet 30

Internet Internet Scalability Education 30

Dotcom-Montior

DECEMBER 8, 2021

Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation. ITSM is the policies, processes, and structure behind the lifecycle of IT services. Incident Management Lifecyle: Process and Steps. Service Desk.

Social Media 90

Social Media Monitoring Latency DevOps 90

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

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. It should offer high bandwidth, horizontal scalability, fault tolerance, and strong consistency. Supporting new storage hardware.

Storage 64

Storage Systems Hardware Efficiency 64

O'Reilly Software

APRIL 4, 2018

We live in the era of the connected experience, where our daily interactions with the world can be digitized, collected, processed, and analyzed to generate valuable insights. Accumulating all this data to process overnight is not an option anymore. Do we need to process each record individually? Process tolerance.

Architecture 80

Architecture Scalability Google Operating System 80

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. From financial processing and traditional oil & gas exploration HPC applications to integrating complex 3D graphics into online and mobile applications, the applications of GPU processing appear to be limitless. All Things Distributed. Comments ().

AWS 136

AWS Latency Programming Architecture 136

KeyCDN

AUGUST 15, 2019

Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability. Bottlenecks are just one of many problems that can occur when your website isn’t scalable. Memory utilization: The amount of memory required to process a request.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. In particular this has been true for applications based on algorithms - often MPI-based - that depend on frequent low-latency communication and/or require significant cross sectional bandwidth. All Things Distributed. By Werner Vogels on 12 July 2010 05:00 PM.

Cloud 118

Cloud AWS Automotive Latency 118

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Under the hood, the BlueData used several enhancements to boosts the I/O performance and scalability of container-based clusters. Similarly, event-driven stream data processing is a lot easier to implement as microservices running on top Kubernetes.

Big Data 63

Big Data Storage Benchmarking Hardware 63

KeyCDN

JULY 11, 2019

Using an image CDN, such as KeyCDN, can significantly reduce the latency of your image delivery. This is crucial due to mobile devices requiring additional optimizations because they typically have less powerful hardware and a slower network connection when compared to desktop devices. Mbps ( Opensignal ).

Speed 52

Speed Website Mobile Latency 52

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput. This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Testsigma

JANUARY 30, 2021

Each smartphone comes with various screen sizes and resolutions, operates on different network speeds, and has different hardware capabilities. Testing helps in finding latency time of an application: Users prefer to use mobile phones over desktop when they are looking for any query, booking flight/movie ticket.

Mobile 52

Mobile Testing Website Internet 52

Dynatrace

AUGUST 5, 2019

Before starting any migration project, you must have a good overview of all your hosts, processes, services and technologies. Step 2: Understand your Dependencies: No Host or Process left alone! How much traffic is sent between two processes hosting a certain service? Also accessible through the Smartscape API.

Cloud 31

Cloud Traffic Database Network 31

Smashing Magazine

JANUARY 6, 2020

So, if we created an overview of all the things we have to keep in mind when improving performance — from the very start of the process until the final release of the website — what would that list look like? Also, as Patrick Meenan suggested, it’s worth to plan out a loading sequence and trade-offs during the design process.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

So, if we created an overview of all the things we have to keep in mind when improving performance — from the very start of the process until the final release of the website — what would that list look like? Also, as Patrick Meenan suggested, it’s worth to plan out a loading sequence and trade-offs during the design process.

Performance 104

Performance Cache Network Metrics 104

SQL Server According to Bob

JANUARY 11, 2020

DBCC Page Auditing DBCC page auditing is the process of executing common DBCC consistency checks as pages are read from disk. ​​ This is a serious I/O subsystem problem that should be addressed immediately to avoid SQL Server and overall system stability problems ​​ and ​​ data loss.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 11, 2021

Micro-optimizations are great for keeping performance on track, but it’s critical to have clearly defined targets in mind — measurable goals that would influence any decisions made throughout the process. Also, as Patrick Meenan suggested, it’s worth to plan out a loading sequence and trade-offs during the design process.

Performance 145

Performance Cache Media Metrics 145