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. In general, metrics collectors and providers are most common, followed by log and tracing projects.

Open Source 342

Open Source Java Operating System Programming 342

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. They include backup success rate, backup duration, recovery time objective (RTO), recovery point objective (RPO), and backup storage utilization.

Performance 107

Performance Monitoring Traffic Database 107

Dynatrace

MARCH 23, 2020

A decade ago, while working for a large hosting provider, I led a team that was thrown into turmoil over the purchasing of server and storage hardware in preparation for a multi-million dollar super-bowl ad campaign. Such decisions must be attainable with little to no developer involvement in surfacing traces, metrics, and logs.

Google 193

Google Engineering Metrics Hardware 193

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 Database: MySQL 8.0.31

Performance 54

Performance Benchmarking Cache Storage 54

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

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 91

Database Hardware Open Source Strategy 91

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. Event driven scaling (asynchronous clients with keying and thinking time).

C++ 40

C++ Benchmarking Virtualization Open Source 40

Smashing Magazine

JANUARY 15, 2019

The key metric for measuring the sustainability of a digital product is its energy usage. how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. “You Can’t Manage What You Can’t Measure”. These include data transfer (i.e. Sustainable Web Design.

Website Performance 73

Website Performance Website Energy Performance 73

Percona

FEBRUARY 24, 2023

Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. Don’t pay for capacity you don’t use or need.

Cloud 122

Cloud Serverless AWS Storage 122

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Dynatrace news. Self-contained turnkey solution.

Availability 246

Availability Hardware Latency Traffic 246

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. Infrastructure as a service (IaaS) handles compute, storage, and network resources. Microservices, on the other hand, make it possible to quickly scale up a single aspect of an application, such as storage or compute use.

Development 249

Development Serverless Best Practices Lambda 249

Dynatrace

SEPTEMBER 15, 2020

In addition to automatic full-stack monitoring, Dynatrace provides comprehensive support for all AWS services that publish metrics to Amazon CloudWatch, providing advanced observability for dynamic hybrid clouds. We’re therefore excited to announce that Dynatrace has received the AWS Outposts Service Ready designation.

AWS 199

AWS Design Cloud Storage 199

Dynatrace

DECEMBER 8, 2021

Modern operating systems provide capabilities to observe and report various metrics about the applications running. As the entire application shares the same computing environment, it collects all logs in the same location, and developers can gain insight from a single storage area. The last aspect is the centralization of compute.

Cloud 225

Cloud Serverless Hardware Operating System 225

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. With clear insight into crucial system metrics, teams can automate more processes and responses with greater precision. Although cold storage and rehydration can mitigate high costs, it is inefficient and creates blind spots. More automation.

Analytics 207

Analytics Monitoring Artificial Intelligence DevOps 207

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. The NOPM Metric. What is HammerDB?

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

NOVEMBER 1, 2023

MySQL backups play a pivotal role in safeguarding the integrity of your data, providing defense against various unforeseen calamities, hardware malfunctions, data loss, corruption, and inadvertent deletions. Encryption Backups have sensitive data, so it’s highly recommended to encrypt, especially for offsite storage.

Best Practices 79

Best Practices Storage Strategy Database 79

Highly Scalable

AUGUST 20, 2013

The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. If the current transaction ID equals to the value persisted in the storage, the node skips the commit because this is a batch replay. All these topics will be discussed in the later sections of the article.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

FEBRUARY 13, 2020

There is a potential benefit in reusing the hardware in place for video compression/decompression. Image decoding in hardware may not be a primary motivator, given the peculiarities of OS dependent UI composition, and architectural implications of moving uncompressed image pixels around.

Code 212

Code Metrics Efficiency Open Source 212

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. It also supports auto-scaling of compute and storage resources, dynamically adjusting capacity based on chosen utilization thresholds to optimize performance and costs.

AWS 52

AWS Database Serverless Storage 52

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 111

Availability Database Open Source Hardware 111

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. There are certain metrics to be considered for a user to have a hassle-free experience. Hardware resources. Hardware Resources. Metrics to monitor during page load include the following: Start and end time.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Apica

AUGUST 12, 2020

Managing hardware costs for internal monitoring and the appropriate management of that hardware was also discussed. Ensuring proper access and secured storage of the scripts, endpoints and user access credentials. Better Metrics.

Monitoring 52

Monitoring Testing Scalability Hardware 52

Percona

DECEMBER 14, 2022

The CITUS columnar extension feature set includes: Highly compressed tables: Reduces storage requirements. The complete CITUS feature set which, except for the Columnar storage component, is not covered in this blog, includes: Distributed tables. Columnar storage. Reduces the IO needed to scan the table. References tables.

Database 92

Database Analytics Storage Processing 92

Alex Russell

APRIL 29, 2021

Another window into this question is provided by the Web Confluence Metrics project. Chrome has missed several APIs for 3+ years: Storage Access API. is access to hardware devices. This allows customisation and use of specialised features without custom, proprietary software for niche hardware. Converging Views.

Media 145

Media Games Education Engineering 145

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well.

Servers 40

Servers Cache Media Hardware 40

The Morning Paper

MAY 28, 2019

So it’s interesting to see a paper using nano-Joules per prediction as an evaluation metric. The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. Race logic has four primary operations that are easy to implement in hardware: MAX, MIN, ADD-CONSTANT, and INHIBIT.

Energy 52

Energy Hardware Efficiency Architecture 52

Alex Russell

MARCH 6, 2021

The scale of the effect can be deeply situational or hard to suss out without solid metrics. A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Hardware Past As Performance Prologue. The Moto G4 , for example. Mind The Gap.

Performance 124

Performance Network Cache Metrics 124

The Morning Paper

MARCH 17, 2020

Optane DIMMs have lower latency and higher bandwidth than storage devices connected over PCIe (including Optane SSDs), and present a memory address-based interface as opposed to a block-based NVMe interface. A metric that underpins several of these recommendations is the Effective Write Ratio or EWR. Optane DIMMs are here!

Scalability 59

Scalability Latency Cache Media 59

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Dynatrace

AUGUST 5, 2019

Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Optimize Query Performance and Data Storage Cost. Extract less critical data into a cheaper database storage option. Optimize the performance of key queries.

Cloud 31

Cloud Traffic Database Network 31

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. The update rate could be set too high so that the sensor or metric delivery system can’t keep up.

Latency 52

Latency Engineering Systems Hardware 52

SQL Performance

JANUARY 22, 2020

Where this really can make a difference is in cloud implementations where you are paying for more than just compute and storage resources.

Servers 55

Servers Azure Hardware Network 55

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. The update rate could be set too high so that the sensor or metric delivery system can’t keep up.

Latency 53

Latency Engineering Systems Hardware 53

All Things Distributed

JANUARY 18, 2012

In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform. s pricing is simple and predictable: Storage is $1 per GB per month. The growth of Amazonâ??s Domain scaling limitations. Amazon DynamoDBâ??s

Scalability 167

Scalability Database Ecommerce Latency 167

Alex Russell

OCTOBER 22, 2017

This helps support executive sponsors who then have meaningful metrics to point to in justifying the investments being made. Very rarely have we seen a team succeed that doesn’t set budgets, gather RUM metrics, and carry representative customer devices. Teams with budgets also find it easier to track and graph progress.

Performance 68

Performance Benchmarking Network Mobile 68

Highly Scalable

SEPTEMBER 18, 2012

A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Data version can be specified by a timestamps or application-specific metric. This attribute can be a static ID or some recency metric like the last transaction ID (the most up-to-date node wins). Davies, and T.

Database 213

Database Latency C++ Scalability 213

Alex Russell

JULY 14, 2021

This reduces friction and commensurately increases "engagement" metrics. [6]. Here, native apps are doing work related to their core function; storage and tracking of user data are squarely within the four corners of the app's natural responsibilities. Hardware access APIs, notably: Geolocation. Web Bluetooth.

Google 121

Google Mobile Engineering Internet 121