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. It provides tools for organizing and retrieving data efficiently.

Efficiency 147

Efficiency Storage Database Scalability 147

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

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. Static analysis and the IR.

Processing 72

Processing Hardware Database Azure 72

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. Dynatrace news. billion in 2020 to $4.1 What is log monitoring?

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198

Dynatrace

JANUARY 16, 2023

On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors. Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments.

Open Source 333

Open Source Java Operating System Programming 333

Dynatrace

JUNE 25, 2020

Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Save on costs for hardware and network bandwidth to optimize total cost of ownership. A similar analysis can be performed on your GRO. A similar analysis can be performed on your GRO.

Availability 237

Availability Hardware Latency Traffic 237

Dynatrace

NOVEMBER 11, 2020

Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. The migration of the logs storage directory will happen automatically upon the update to OneAgent version 1.203; so there is really nothing you need to do. Advanced customization of OneAgent deployments made easy.

Best Practices 185

Best Practices Storage Java Benchmarking 185

Scalegrid

JANUARY 25, 2024

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130

Metrics Monitoring Latency Cache 130

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 90

Open Source Database Hardware Strategy 90

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

Percona

JUNE 22, 2023

long_query_time: Defines the threshold for query execution time, and queries taking longer than this threshold are considered slow and logged for further analysis innodb_buffer_pool_size: Sets the size of the InnoDB buffer pool. The point we’re making here is they are critical for MySQL Performance.

Performance 102

Performance Monitoring Traffic Database 102

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. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 104

Availability Database Open Source Hardware 104

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

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

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Healthcare 40

Percona

DECEMBER 14, 2022

In the database world there are essentially two types of database operations: Online Transaction Processing , OLTP : Online transaction processing applications have high throughput and are insert- or update-intensive in database management. And if the query processes 100 million rows, that’s definitely not trivial!

Database 91

Database Analytics Storage Processing 91

The Morning Paper

FEBRUARY 18, 2020

The core idea is to continuously monitor all aspects of the business, actively interpret the observations using advanced data analysis – including ML – and integrate the learnings into appropriate actions that improve business outcomes. Thus assemblies of models might need to be updated atomically.

Government 95

Government Software Engineering Storage Database 95

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. Can you afford the necessary hardware, software, and operational costs of maintaining a PostgreSQL HA solution? there cannot be high availability.

Availability 82

Availability Open Source Architecture Database 82

The Morning Paper

OCTOBER 4, 2020

It’s a great analysis that taught me a lot about the realities of 5G, and the challenges ahead if we are to eventually get there. Three different 5G phones are used, including a ZTE Axon10 Pro with powerful communication (SDX 50 5G modem) and compute (Qualcomm Snapdragon TM855) capabilities together with 256GB of storage.

Energy 130

Energy Latency Performance Network 130

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 110

Performance Latency Cache Virtualization 110

All Things Distributed

MARCH 11, 2015

From retail recommendations to genomics based product development, from financial risk management to start-ups measuring the effect of their new products, from digital marketing to fast processing of clinical trial data, all are taken to the next level by cloud based analytics. Cloud enables self-service analytics.

Analytics 135

Analytics Cloud Healthcare Retail 135

The Morning Paper

SEPTEMBER 19, 2019

Autoscaling tiered cloud storage in Anna. It handles an order of magnitude more throughput than a prototype built on a stream processing engine. Could it be Analyzing efficient stream processing on modern hardware ? Research papers. (In In random order!). for machine generated emails sent to humans).

Blockchain 46

Blockchain Hardware Google Analytics 46

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. s a summary chart of the TCO analysis. What this chart summarizes is that. Saving money.

AWS 118

AWS Hardware Traffic Best Practices 118

Brendan Gregg

FEBRUARY 28, 2023

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 52

Performance Latency Cache Virtualization 52

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Dynatrace

AUGUST 5, 2019

It covers these key areas: Technology & Dependency Analysis. Resource consumption & traffic analysis. 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!

Cloud 31

Cloud Traffic Database Network 31

Adrian Cockcroft

NOVEMBER 11, 2019

Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. This discussion focuses on hardware, software and operational failure modes. Book: Engineering a Safer World by Nancy G. The fourth technique is to apply the no single point of failure (SPOF) principle.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. This discussion focuses on hardware, software and operational failure modes. Book: Engineering a Safer World by Nancy G. The fourth technique is to apply the no single point of failure (SPOF) principle.

Latency 53

Latency Engineering Systems Hardware 53

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Advances in browser content processing. Hardware Past As Performance Prologue. The Moto G4 , for example. Modern network performance and availability. Content Is Dead, Long Live Content.

Performance 124

Performance Network Cache Metrics 124

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Helps media apps on the web save battery when doing video processing. Coordination APIs allow applications to save memory and processing power (albeit, most often in desktop and tablet form-factors). is access to hardware devices. Where Chrome Has Lagged.

Media 145

Media Games Education Engineering 145

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. Intel Quick Assist Technology (QAT) was the focus of the QZFS paper which used this new hardware device to speed up file system compression.

Architecture 12

Architecture Hardware Cache Storage 12

High Scalability

NOVEMBER 25, 2019

Your Laptop has a filesystem used by hundreds of processes. It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. On prem data processing. Optimize on prem cold storage cost. Video Transcoding.

Architecture 52

Architecture Cache Azure Storage 52

Brendan Gregg

SEPTEMBER 5, 2017

There's also a ZFS send/recv code path that should try to use the TASK_INTERRUPTIBLE flag (as suggested by a coworker), to avoid a kernel hang (can't kill -9 the process). On Linux, containers are a combination of namespaces (restricting what a process sees) and cgroups (similar to Solaris resource controls).

Virtualization 76

Virtualization AWS Engineering Hardware 76

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Cloud computing? And, often, to giving up.

Hardware 102

Hardware Storage Big Data Blockchain 102

Alex Russell

OCTOBER 22, 2017

Answering it requires an understanding of how browsers process resources (which differs by type) and the concept of the critical path. This input processing happens on document’s main thread , where JavaScript runs. Processing input (including scrolling w/ active touch listeners). ” A good question!

Performance 68

Performance Benchmarking Network Mobile 68

Highly Scalable

SEPTEMBER 18, 2012

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 requests are processes with a minimal latency. Data Placement. Fault-tolerance.

Database 213

Database Latency C++ Scalability 213