Percona

MAY 1, 2023

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness. What is PostgreSQL performance tuning?

Tuning 52

Tuning Efficiency Database Performance 52

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Sharded time-series collections for improved scalability and performance. You should also review your hardware resources, how you use MongoDB, and any custom configurations.

Best Practices 84

Best Practices Hardware Tuning Scalability 84

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 169

Cloud Traffic Best Practices Strategy 169

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

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? How does AWS Lambda work?

Lambda 183

Lambda AWS Serverless Hardware 183

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. As a result of persistent queues, a system benefits from improved performance, reliability, and scalability. The concept is like text messaging — a feature most mobile phone users understand. If you need to send a message, you can call the person.

Monitoring 205

Monitoring Serverless Programming Speed 205

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. As a result of persistent queues, a system benefits from improved performance, reliability, and scalability. The concept is like text messaging — a feature most mobile phone users understand. If you need to send a message, you can call the person.

Monitoring 204

Monitoring Serverless Programming Speed 204

Percona

JUNE 30, 2023

Kubernetes provides many benefits, such as automation and scalability, but it also introduces new complexities when it comes to managing databases. IT teams must ensure high availability, scalability, and security, all while ensuring that their PostgreSQL clusters perform optimally. We look forward to seeing what you can do with it!

Availability 91

Availability Open Source Azure Hardware 91

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. Jason Lowe-Power (UC Davis) discussed smart memory management and the need for an efficient interface for it. About application transparency.

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

OCTOBER 28, 2021

Once established, chaos engineering becomes an effective way to fine tune service-level indicators and objectives, improve alerting, and build more efficient dashboards, so you know you are collecting all the data you need to accurately observe and analyze your environment. Increased resilience and faster response times mean less down-time.

Engineering 230

Engineering Entertainment Cloud Infrastructure 230

Percona

DECEMBER 27, 2023

Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 77

Cloud Open Source Strategy Best Practices 77

ACM Sigarch

APRIL 26, 2018

With its modular architecture, DLA is scalable, highly configurable, and designed to simplify integration and portability. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. Compared with Google Pixel 1, the HDR photography is accelerated by 5x and the power efficiency increased by 10x.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

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

DZone

AUGUST 16, 2019

In this article, we explain why you should pay attention to when building a scalable application. What Is Application Scalability? Application scalability is the potential of an application to grow in time, being able to efficiently handle more and more requests per minute (RPM).

Scalability 145

Scalability Efficiency Hardware Software 145

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

Dotcom-Montior

OCTOBER 6, 2021

Site reliability engineers are focused with creating scalable and reliable software systems, so this also includes ensuring that development work is efficient and reliable, so when the finished product is ready for production, there are no surprises. that are required to keep the software deployments live are running efficiently.

Engineering 67

Engineering DevOps Monitoring Google 67

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. . Honestly, this is not time-effective at all if you’re aiming for efficiency and speed.

Cloud 57

Cloud Testing Storage DevOps 57

Testsigma

SEPTEMBER 9, 2021

Resources can be any element i.e., hardware, software, or infrastructure which are necessary to carry out tests. With Testsigma, the test automation for web, mobile and APIs happens from the same place and with the same ease and efficiency. Scalable – reduce or expand according to your needs. Testsigma is highly scalable.

Cloud 59

Cloud Testing Mobile Scalability 59

Scalegrid

JANUARY 8, 2024

Key Takeaways Multi-cloud involves using services from multiple cloud providers to gain flexibility and reduce vendor lock-in, while hybrid cloud combines private and public cloud resources to balance control and scalability. 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

Dotcom-Montior

DECEMBER 8, 2021

By ITIL definition, the service desk may take the form of incident resolution or service requests, but whatever the case, the primary goal of the service desk to provide quick and efficient service. Software services still require physical devices and hardware for them to function. Problem Management. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Some of these will serve large urban areas and will be sensitive to efficiency.

Hardware 56

Hardware Latency Virtualization Cloud 56

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

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

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. This includes being able to select the right hardware options for the job, enforcing desired safety measures, and having access to a variety of database software.

Database 130

Database Cloud Hardware Storage 130

DZone

NOVEMBER 10, 2023

Hyper-V, Microsoft’s virtualization platform, plays a crucial role in cloud computing infrastructures, providing a scalable and secure virtualization foundation. Hyper-V: Enabling Cloud Virtualization Hyper-V serves as a fundamental component in cloud computing environments, enabling efficient and flexible virtualization of resources.

Cloud 152

Cloud Energy Virtualization Hardware 152

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

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. If you don’t test, then you’ll have to learn about them the hard way.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Some of these will serve large urban areas and will be sensitive to efficiency.

Hardware 40

Hardware Latency Virtualization Cloud 40

All Things Distributed

MARCH 19, 2018

At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. While building Amazon SageMaker and applying it for large-scale machine learning problems, we realized that scalability is one of the key aspects that we need to focus on.

Scalability 160

Scalability Hardware AWS Tuning 160

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

OCTOBER 18, 2023

Flexibility and scalability Open source databases provide much greater flexibility regarding customization and configuration. Are you looking to enhance performance, improve scalability, cut expenses, or gain access to specific features you don’t currently have? Start by identifying the reasons driving the migration.

Open Source 89

Open Source Database Hardware Strategy 89

Testsigma

JANUARY 30, 2021

Each smartphone comes with various screen sizes and resolutions, operates on different network speeds, and has different hardware capabilities. To make mobile web testing successful and efficient, it is always good to follow the mentioned practices. Best Practices For Mobile Website Testing.

Mobile 52

Mobile Testing Website Internet 52

PDC

NOVEMBER 9, 2018

In such scenarios, scalability or scaling is widely used to indicate the ability of hardware and software to deliver greater computational power when the amount of resources is increased. In this post we focus on software scalability and discuss two common types of scaling. speedup = t 1 / t N. speedup = 1/ s = 20).

Scalability 65

Scalability Programming Government Hardware 65

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Scalability. Finally, there’s scalability. Serverless architecture offers several benefits for enterprises. Simplicity.

Serverless 286

Serverless AWS Lambda Storage 286

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Easy scalability. In FaaS environments, providers manage all the hardware. Alternatively, in a CaaS model, businesses can directly access and manage containers on hardware. million in 2020.

Serverless 221

Serverless Azure Hardware Transportation 221

Dynatrace

MAY 1, 2023

In addition to improved IT operational efficiency at a lower cost, ITOA also enhances digital experience monitoring for increased customer engagement and satisfaction. Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time.

Analytics 193

Analytics Artificial Intelligence Big Data Open Source 193

Scalegrid

FEBRUARY 1, 2024

However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system. Plus, you can even test your backups and verify that the data can be restored promptly and efficiently to be confident that your data is safe and secure.

Best Practices 130

Best Practices Storage Strategy Database 130