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. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 250

Development Serverless Best Practices Lambda 250

Dynatrace

JANUARY 16, 2023

Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines. Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Java Virtual Machine (JVM)-based languages are predominant. Most organizations, 72%, use Java to some degree.

Open Source 343

Open Source Java Operating System Programming 343

All Things Distributed

JULY 20, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Back-to-Basics Weekend Reading - Virtualizing Operating Systems. This weekends back-to-basics reading is on operating system virtualization. Xen and the art of virtualization by Paul Barham, Boris Dragovic, Keir Fraser, Steven Hand, Timothy L.

Operating System 94

Operating System Virtualization Systems Hardware 94

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. Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability.

Availability 82

Availability Hardware Open Source Database 82

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. It also supports the flexibility and scalability of the database infrastructure.

Availability 112

Availability Database Open Source Hardware 112

Dynatrace

AUGUST 5, 2022

As a result of persistent queues, a system benefits from improved performance, reliability, and scalability. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

AUGUST 5, 2022

As a result of persistent queues, a system benefits from improved performance, reliability, and scalability. In this scenario, message queues coordinate large numbers of microservices, which operate autonomously without the need to provision virtual machines or allocate hardware resources.

Monitoring 199

Monitoring Serverless Programming Speed 199

Percona

JUNE 12, 2023

The immediate (working) goal and requirements of HA architecture The more immediate (and “working” goal) of an HA architecture is to bring together a combination of extensions, tools, hardware, software, etc., No single-point-of-failure (SPOF) : This is both an exclusion and an inclusion for the architecture.

Architecture 102

Architecture Availability Open Source Healthcare 102

Dynatrace

NOVEMBER 29, 2022

Transparency and scalability. The purpose of infrastructure as code is to enable developers or operations teams to automatically manage, monitor, and provision resources, rather than manually configure discrete hardware devices and operating systems. Lower MTTR. More controlled, consistent, and sustainable problem resolution.

Infrastructure 172

Infrastructure Code Cloud DevOps 172

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. What is HammerDB? Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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 . hardware limits: 1000 MHz - 3.80 hardware limits: 1000 MHz - 3.80 current CPU frequency: Unable to call hardware .

Best Practices 40

Best Practices Scalability Performance C++ 40

ACM Sigarch

MAY 31, 2023

There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. The memory bandwidth will be a key player because the traditional method to add memory bandwidth by adding memory channels is not scalable. About application transparency.

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

OCTOBER 22, 2019

This is why threads are often the source of scalability as well as performance issues. Use case #1: Identify scalability issues. A scalable architecture needs to distribute work across many threads in order to facilitate all the CPUs of a physical or virtual machine. Dynatrace news.

Java 103

Java Scalability Hardware Architecture 103

ACM Sigarch

APRIL 26, 2018

With its modular architecture, DLA is scalable, highly configurable, and designed to simplify integration and portability. EPU: Emotion Processing Unit is designed by Emoshape , as the MCU microchip design to enable a true emotional response in AI, robots and consumer electronic devices as a result of a virtually unlimited cognitive process.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Percona

SEPTEMBER 1, 2023

Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. 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

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. Please refer to this tuning guide to tune the system for HammerDB: Open Source Database Tuning Guide on 3rd Generation Intel® Xeon® Scalable Processors Based Platform.

Performance 54

Performance Benchmarking Cache Storage 54

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

HammerDB

FEBRUARY 25, 2021

However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. To benchmark a database we introduce the concept of a Virtual User. So having an application client mutex lock that artificially stalls our Virtual Users does not sound good.

Programming 67

Programming Benchmarking Virtualization C++ 67

Dotcom-Montior

NOVEMBER 24, 2021

These systems can include physical servers, containers, virtual machines, or even a device, or node, that connects and communicates with the network. Software and hardware components are autonomous and execute tasks concurrently. Scalability. State is distributed through the system. Concurrency. Heterogeneity. Fault Tolerance.

Systems 74

Systems Monitoring Hardware Network 74

Percona

JULY 7, 2023

HA in PostgreSQL databases delivers virtually continuous availability, fault tolerance, and disaster recovery. Also, in general terms, a high availability PostgreSQL solution must cover four key areas: Infrastructure: This is the physical or virtual hardware database systems rely on to run. there cannot be high availability.

Availability 87

Availability Open Source Architecture Database 87

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. For certain situations that don’t require scalability, on-premise testing can be cost-effective. . Scalability comes at a price. Photo by freestocks on Unsplash. Picture Source: Statista.

Cloud 57

Cloud Testing Storage DevOps 57

All Things Distributed

JANUARY 23, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The Amazon Virtual Private Cloud extends on-premises compute with all the power of AWS, making it elastic, scalable and highly reliable. All Things Distributed. Expanding the Cloud - The AWS Storage Gateway. By Werner Vogels on 23 January 2012 12:01 AM.

Storage 115

Storage AWS Virtualization Cloud 115

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 56

Hardware Latency Virtualization Cloud 56

Particular Software

MARCH 11, 2019

That's because to guarantee message ordering is technically very difficult and, even if successful, always comes with tradeoffs like lower message throughput and less scalability that hamper the system's ability to be successful. Unfortunately it makes ordered delivery virtually impossible to support.

Virtualization 69

Virtualization Scalability Servers Processing 69

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. Additionally because the number of Virtual Users is lower for the HammerDB default mode (see below for alternatives) each Virtual User will choose a home warehouse at random.

C++ 40

C++ Benchmarking Virtualization Open Source 40

SQL Performance

AUGUST 27, 2019

It will also use less power than a two-socket Intel server, with a lower hardware cost, and potentially lower licensing costs (for things like VMware). Better security , with Secure Memory Encryption and Secure Encrypted Virtualization. Figure 3: Preferred 2 nd Generation Intel Xeon Scalable Processor Specifications. Conclusion.

Servers 52

Servers Benchmarking Virtualization Architecture 52

KeyCDN

JANUARY 23, 2020

A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible. This helps developers decide when to increase server disk space and power or whether or not using a virtual cloud server is optimal.

Strategy 72

Strategy Metrics Monitoring Servers 72

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 40

Hardware Latency Virtualization Cloud 40

Percona

AUGUST 15, 2023

Advantages There are many advantages of MySQL replication, but a few highlights include the enhancement of scalability by allowing read-intensive workloads to be distributed across multiple replicas, offloading a primary database server, and improving overall performance. and was GA’ed in MySQL 5.7.17.

Servers 52

Servers Database Availability Traffic 52

HammerDB

JANUARY 5, 2019

Scalability. As the chart shows because we know that both HammerDB and the implementation of the TPC-C workload scales then we can determine that with this particular database engine both the software and hardware scales as well. That is why we run a workload designed exactly for this purpose as it gives us a “benchmark” 2.

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 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

Dotcom-Montior

DECEMBER 8, 2021

You cannot virtualize everything…yet. Software services still require physical devices and hardware for them to function. Change management is the process of determining how changes will affect the service deployment and/or consider the effects on the business itself. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. Under the hood, the BlueData used several enhancements to boosts the I/O performance and scalability of container-based clusters. better cluster resource utilization.

Big Data 63

Big Data Storage Benchmarking Hardware 63

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. The second work presented a novel scalable distributed capability mechanism for security and protection in such systems.

Architecture 12

Architecture Hardware Cache Storage 12