Dynatrace

NOVEMBER 3, 2022

With the significant growth of container management software and services, enterprises need to find ways to simplify the process. CaaS automates the processes of hosting, deploying, and managing container technologies. Process portability. IaaS provides direct access to compute resources such as servers, storage, and networks.

Serverless 216

Serverless Azure Hardware Transportation 216

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Minimized cross-data center network traffic. Automatic recovery for outages for up to 72 hours.

Availability 244

Availability Hardware Latency Traffic 244

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " In from of them is a networking layer, and the in-memory storage layer holds the actual data.

Serverless 99

Serverless Storage Latency Cloud 99

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. Types of DBMS DBMS can be classified into hierarchical, network, relational, and object-oriented types.

Efficiency 147

Efficiency Storage Database Scalability 147

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 90

Database Hardware Open Source Strategy 90

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 196

Monitoring Serverless Programming Speed 196

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 195

Monitoring Serverless Programming Speed 195

Dynatrace

NOVEMBER 11, 2020

Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. As such, it’s quite often a network-shared mount point that multiple hosts use to store third party software and libraries. Advanced customization of OneAgent deployments made easy.

Best Practices 193

Best Practices Storage Java Benchmarking 193

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. … based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. " Query execution. ."

Processing 72

Processing Hardware Database Azure 72

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. However, the process of log analysis can become complicated without the proper tools.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

FEBRUARY 24, 2023

Usage reduction is a continuous process. From AWS documentation , Amazon EBS is an easy-to-use, scalable, high-performance block-storage service designed for Amazon EC2. Figure 2: Amazon Elastic Block Storage Running relational or NoSQL databases is one of the use cases where EBS is recommended for.

Cloud 121

Cloud Serverless AWS Storage 121

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. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Scalegrid

JANUARY 8, 2024

Understanding Multi-Cloud and Hybrid Cloud Cloud computing has revolutionized the IT industry, offering a host of advantages including cost-effectiveness, increased agility, and access to cutting-edge hardware. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

Percona

OCTOBER 18, 2023

It’s a complex process involving various factors and meticulous planning. Today, we’ll be taking a deep dive into the intricacies of database migration, along with specific solutions to help make the process easier. Evaluating your hardware requirements is another vital aspect of resource allocation.

Open Source 94

Open Source Database Hardware Strategy 94

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. Without enough infrastructure (physical or virtualized servers, networking, etc.),

Availability 110

Availability Database Open Source Hardware 110

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. This plays a crucial role in supervising the replication process.

Metrics 130

Metrics Monitoring Latency Cache 130

HammerDB

APRIL 19, 2023

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used. Storage: The system has a SATA drive for the operating system and one NVMe (Intel SSD D7-P5510 (3.84 4.22 %usr 38.40

Performance 54

Performance Benchmarking Cache Storage 54

Percona

JULY 7, 2023

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. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability. If so, what are the legal liabilities?

Availability 85

Availability Open Source Architecture Database 85

Percona

JUNE 22, 2023

Another related variable, innodb_buffer_pool_instances, determines the number of buffer pool instances for the InnoDB storage engine, which can improve the performance of multi-core systems by reducing contention on the buffer pool latch.

Performance 106

Performance Monitoring Traffic Database 106

The Morning Paper

OCTOBER 4, 2020

The first 5G networks are now deployed and operational. The study is based on one of the world’s first commercial 5G network deployments (launched in April 2019), a 0.5 The 5G network is operating at 3.5GHz). The maximum physical layer bit-rate for the 5G network is 1200.98 The short answer is no.

Energy 130

Energy Latency Performance Network 130

Tech News Gather

JULY 19, 2023

Smart home automation is the process of automating your house by using Internet of Things (IoT) devices to manage your lights, appliances, HVAC, entertainment, security cameras, and alarms, and other sensors for things like water or gas leaks. During the registration process, the user must choose a unique username and password.

Wireless 52

Wireless IoT Development Internet 52

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. 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 or connection error. Network latency. Hardware resources.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. There are also large differences in storage capacity and throughput between these extremes.

Azure 72

Azure Virtualization Servers Storage 72

Scalegrid

JULY 13, 2020

of PostgreSQL users are currently in the process of migrating to the RDBMS, according to the 2019 PostgreSQL Trends Report , an astounding percentage considering this is the 4th most popular database in the world. pg_repack – reorganizes tables online to reclaim storage. In fact, PostgreSQL is so popular, 11.5% So Which Is Best?

Open Source 244

Open Source Tuning C++ Database 244

Testsigma

MAY 3, 2021

From operating systems to versions to hardware specs, mobile devices stand unique even after being billions in number. Automation does bring out some fruitful benefits that reap throughout the season but implementing mobile test automation also puts up some roadblocks that are best to be considered before initiating the process.

Mobile 77

Mobile Testing Operating System Hardware 77

The Morning Paper

JANUARY 30, 2020

The current system assumes an application specific regression model is available on the servers which can predict processing time given the current parameters of the job (e.g. These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). for the wasm-version.

Mobile 104

Mobile Cloud Latency Games 104

Brendan Gregg

FEBRUARY 28, 2023

Make sure your system can handle next-generation DRAM,” [link] Nov 2011 - [Hruska 12] Joel Hruska, “The future of CPU scaling: Exploring options on the cutting edge,” [link] Feb 2012 - [Gregg 13] Brendan Gregg, “Blazing Performance with Flame Graphs,” [link] 2013 - [Shimpi 13] Anand Lal Shimpi, “Seagate to Ship 5TB HDD in 2014 using Shingled Magnetic (..)

Performance 110

Performance Latency Cache Virtualization 110

Brendan Gregg

NOVEMBER 28, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 40

Virtualization AWS Hardware Storage 40

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

Percona

APRIL 17, 2023

For example: UUID=f41e390f-835b-4223-a9bb-9b45984ddf8d / xfs rw,noatime,attr2,inode64,noquota 0 0 Unix ulimit settings Most UNIX-like operating systems, including Linux and macOS, provide ways to limit and control the usage of system resources such as threads, files, and network connections on a per-process and per-user basis.

Best Practices 52

Best Practices Design Tuning Database 52

Alex Russell

MARCH 6, 2021

Thanks to progress in networks and browsers (but not devices), a more generous global budget cap has emerged for sites constructed the "modern" way: ~100KiB of HTML/CSS/fonts and ~300-350KiB of JS (compressed) is the new rule-of-thumb limit for at least the next year or two. Modern network performance and availability.

Performance 124

Performance Network Cache Metrics 124

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. As with any database, developers and DBAs working with MongoDB should look at how to optimize the performance of their database, especially nowadays with cloud services, where each byte processed, transmitted, and stored costs money.

Database 81

Database Servers Storage Strategy 81

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. faster access to external storage and data locality (I/O, bandwidth). optimised container networking and security. 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