Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation. it signifies memory fragmentation.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 102

Performance Monitoring Traffic Database 102

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

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

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. All of these require a lot of capital.

Cloud 57

Cloud Testing Storage DevOps 57

The Morning Paper

JANUARY 30, 2020

These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). For these results, upload and download speed for mobile client to edge was set at 10 Mbs and 36 Mbps respectively, and for edge-to-edge and edge-to-cloud 42 Mbps and 118 Mbps respectively.

Mobile 104

Mobile Cloud Latency Games 104

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

SQL Performance

MARCH 17, 2020

This machine has four i7 CPUs (hyperthreaded to 8) with a base speed of 2.4GHz. This is very efficient, as confirmed by the elapsed time of 13ms (all of which is CPU time). The structure of a b-tree index makes finding the next highest value very efficient — there is no need to scan through the duplicates.

Servers 86

Servers Tuning Database Efficiency 86

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables.

Storage 84

Storage Engineering Database Hardware 84

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. Having MySQL backups for your database can speed up and simplify the recovery process. Therefore, it’s not the ideal choice if there are time or storage limitations.

Best Practices 130

Best Practices Storage Strategy Database 130

All Things Distributed

MARCH 11, 2015

In the past analytics within an organization was the pinnacle of old style IT: a centralized data warehouse running on specialized hardware. A business unit can now go out and create their own data warehouse in the cloud of a size and speed that exactly matches what they need and are willing to pay for.

Analytics 135

Analytics Cloud Healthcare Retail 135

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Reliability.

Serverless 273

Serverless AWS Lambda Storage 273

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Such as INFO which gives statistics about the server, LATENCY LATEST which provides latency measurements in real time and MONITOR which allows observation of the client’s transmitted command at live speed.

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 85

Database Hardware Open Source Strategy 85

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. What Exactly is Greenplum? Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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

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. This can help to improve user engagement and create a more immersive experience.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Although cold storage and rehydration can mitigate high costs, it is inefficient and creates blind spots. Accelerated innovation.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. Various partition types, like RANGE, LIST, HASH, and KEY, are used for specific needs, from range-based data to custom criteria, to ensure efficient data handling and the optimization of queries. Additionally, MySQL 8.0

Strategy 40

Strategy Storage Database Best Practices 40

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. To make this process work more efficiently and ensure a smooth failover, it is important to have the same hardware configuration on all the nodes of the replica set. MongoDB is popular with developers as it is easy to get started with.

Database 78

Database Servers Storage Strategy 78

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

Percona

SEPTEMBER 1, 2023

To address these challenges, architects must design robust and scalable MongoDB databases and adopt appropriate sharding strategies that can efficiently handle increasing workloads while ensuring continuous availability. It’s essential to select an appropriate shard key to ensure even data distribution and efficient querying.

Best Practices 70

Best Practices Traffic Database Servers 70

Percona

DECEMBER 14, 2022

The key goals of OLTP applications are availability, speed, concurrency, and recoverability. But while eminently capable of performing OLAP, it’s not quite as efficient. The CITUS columnar extension feature set includes: Highly compressed tables: Reduces storage requirements. Columnar storage. speeds up scans, .

Database 91

Database Analytics Storage Processing 91

HammerDB

JUNE 27, 2022

This post is targeted towards the questions most often asked by non-technical management who want to get up to speed on what HammerDB is (what it isn’t) and how it can benefit their organization. It enables the user to measure database performance and make comparative judgements about database hardware and software.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

The Morning Paper

SEPTEMBER 19, 2019

Autoscaling tiered cloud storage in Anna. Could it be Analyzing efficient stream processing on modern hardware ? On one of the themes that captures my imagination, how changing hardware platform influence system design: Rethinking database high availability with RDMA networks. Research papers. (In In random order!).

Blockchain 46

Blockchain Hardware Google Analytics 46

Abhishek Tiwari

DECEMBER 27, 2017

It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. Delta implements the unified data management layer by extending the Amazon S3 object storage for ACID transactions and automatic data indexing.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

DECEMBER 12, 2018

Winning in this race requires that we become much more customer oriented, much more efficient in all of our operations, and at the same time shift our culture towards more lean and experimental. If the solution works as envisioned, Telenor Connexion can easily deploy it to production and scale as needed without an investment in hardware.

AWS 124

AWS Cloud Games Serverless 124

Alex Russell

SEPTEMBER 20, 2020

Pre-publication gates were valuable when better answers weren't available, but commentators should update their priors to account for hardware and software progress of the past 13 years. The world didn't yet have pervasive multi-process browser sandboxing, JS JITs , or metal-speed binary isolation. Don't like the consequences?

Hardware 64

Hardware Mobile Programming Java 64

Tim Kadlec

JANUARY 9, 2019

Mbps download speed Jake Archibald mentioned his relative getting or the 0.8 Mbps download speed my in-laws get at their house. Hardware gets better, sure. Ballooning bandwidth and storage have fostered complacency that we can do without. My home internet connection gives me somewhere around 3 Mbps down. It makes sense.

Performance 111

Performance Energy Internet Internet 111

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

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

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 40

Alex Russell

OCTOBER 22, 2017

JavaScript is the single most expensive part of any page in ways that are a function of both network capacity and device speed. Contended, over-subscribed cells can make “fast” networks brutally slow, transport variance can make TCP much less efficient , and the bursty nature of web traffic works against us.

Performance 68

Performance Benchmarking Network Mobile 68

Brendan Gregg

SEPTEMBER 5, 2017

I wrote a page on it: [perf]. - **eBPF**: tracing features completed in 2016, this provides efficient programmatic tracing to existing kernel frameworks. Both Xen and KVM have had many performance and security improvements, and workloads can now be tuned to run at almost bare metal speeds (say, a 3% loss or less).

Virtualization 76

Virtualization AWS Engineering Hardware 76

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

Smashing Magazine

JANUARY 11, 2021

You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Note : If you use Page Speed Insights or Page Speed Insights API (no, it isn’t deprecated!),

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Start Render time, Speed Index ). Treo Sites provides competitive analysis based on real-world data.

Performance 145

Performance Cache Network Metrics 145