Scalegrid

DECEMBER 21, 2023

They may even help develop personalized web analytics software as well as leverage Hashes, Bitmaps, or Streams from Redis Data Types into a wider scope of applications such as analytic operations. Or even having limitations when trying vertical/horizontal scalability while ensuring availability at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Making observability actionable and scalable for IT teams. Here are some ways you can make observability actionable and scalable.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.

Open Source 294

Open Source Traffic DevOps Cloud 294

Dynatrace

DECEMBER 20, 2019

And there’s so much more: Infrastructure monitoring with integrations to all leading cloud providers, AIOps to automate the identification and resolution of problems, Digital Experience Management ( Synthetic Monitoring , Real User Monitoring including Session Replay ), And even Digital business analytics.

Infrastructure 133

Infrastructure Government Cloud Monitoring 133

Dynatrace

OCTOBER 28, 2020

And even Digital business analytics. You can’t keep pace by simply upgrading to the latest hardware and updating to the latest software releases twice a year. The Dynatrace scalable grid architecture provides easy and limitless horizontal scalability for both SaaS and on-premise Managed deployments.

Monitoring 144

Monitoring Systems Infrastructure Cloud 144

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Dotcom-Montior

NOVEMBER 24, 2021

Software and hardware components are autonomous and execute tasks concurrently. A distributed system comprises of a variety of hardware and software components with different operating systems and technologies, meaning the processors are separate and independent of each other. Scalability. Concurrency. Heterogeneity.

Systems 74

Systems Monitoring Hardware Network 74

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. Finally it is also important to note that this comparison is focused around OLTP based workloads, HammerDB also supports a TPC-H based workload for analytics with complex ad-hoc queries.

Best Practices 40

Best Practices Scalability Performance C++ 40

Dotcom-Montior

MAY 12, 2020

Modern web applications and pages, such as single-page applications, that put the user experience at its utmost priority are expected to be available 24/7, anywhere in the world, usable on any screen size, secure, flexible, scalable and be ready to meet traffic spikes on demand. Hardware resources. Hardware Resources.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

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. . Scalability comes at a price. Scalability: A cloud-based tool offers scalability.

Cloud 57

Cloud Testing Storage DevOps 57

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. It is at this junction where the site reliability engineer role comes in.

Engineering 67

Engineering DevOps Monitoring Google 67

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. Data pipeline initiatives are generally unfinished projects.

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.

Cloud 129

Cloud Energy AWS Healthcare 129

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

The Morning Paper

SEPTEMBER 19, 2019

Could it be Analyzing efficient stream processing on modern hardware ? Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. What’s their secret??? What if the network was no longer the bottleneck?

Blockchain 46

Blockchain Hardware Google Analytics 46

Percona

DECEMBER 14, 2022

Online analytical processing , OLAP : Online analytical processing applications enable users to analyze multidimensional data interactively from multiple perspectives which consist of three basic analytical operations: . The key goals of OLTP applications are availability, speed, concurrency, and recoverability. drill-down.

Database 92

Database Analytics Storage Processing 92

Tasktop

APRIL 8, 2021

The need to measure outcomes and business value for software development, and the shift from Project to Product , require the deployment of a scalable and turnkey VSM solution. This company was undergoing a digital transformation to augment its hardware products with digital offerings and was committed to creating a digital platform.

Innovation 52

Innovation DevOps Analytics Scalability 52

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. These requirements impose strong scalability and resilience implications. It enables unbounded scalability as more commodity or specialized hardware can be seamlessly added to existing clusters.

Architecture 80

Architecture Scalability Google Operating System 80

Dotcom-Montior

DECEMBER 8, 2021

Software services still require physical devices and hardware for them to function. While the benefits of these systems are that they are more reliable, scalable, and fault tolerant, this also makes them extremely complex, which can result in longer remediation times as issues are harder to detect and pinpoint. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Additionally, many high-end HPC applications take advantage of knowing their in-house hardware platforms to achieve major speedup by exploiting the specific processor architecture. Driving down the cost of Big-Data analytics. All Things Distributed.

Cloud 118

Cloud AWS Automotive Latency 118

Percona

AUGUST 30, 2018

Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability. To look at timing information from query point of view, we want to look at query analytics. Why should you care?

Benchmarking 47

Benchmarking Database Operating System Architecture 47

All Things Distributed

APRIL 5, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Jack: After years of seeing teachers struggle to share the web with their classroom, Edmodo founders Nic Borg and Jeff OHara knew there was a need for a highly scalable, secure social network targeted at K-12. All Things Distributed. Comments ().

Innovation 146

Innovation AWS Education Network 146

HammerDB

FEBRUARY 25, 2021

However, it is crucial that the benchmarking application does not have inherent bottlenecks that artificially limits the scalability of the database. For the TPROC-H workload this is all we need the queries are long-running analytics queries so once executed on the database do not need to wait for the benchmarking client.

Programming 67

Programming Benchmarking Virtualization C++ 67

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. In terms of analytics and the TPROC-H workload derived from TPC-H, this specification does not require middleware so when running TPROC-H you are close to the specification, however there remain differences.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Highly Scalable

AUGUST 20, 2013

Kafka messaging queue is well known implementation of such a buffer that also supports scalable distributed deployments, fault-tolerance, and provides high performance. Incremental computations over sliding windows is a group of techniques that are widely used in digital signal processing, in both software and hardware.

Big Data 154

Big Data Processing Lambda Database 154

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.

Performance 145

Performance Cache Network Metrics 145

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

All Things Distributed

OCTOBER 7, 2015

QuickSight is a fast, cloud native, scalable, business intelligence service for the 1/10th the cost of old-guard BI solutions. SPICE enables QuickSight to scale to many terabytes of analytical data and deliver response time for most visualization queries in milliseconds. Big data challenges.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

JULY 14, 2015

In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. A more scalable option is to decouple these systems and build a pipe that connects these engines and feeds all change records from the source database to the data warehouse (e.g.,

Database 167

Database Lambda AWS IoT 167

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). You can then mimic the 90th percentile’s experience for testing.

Performance 103

Performance Cache Metrics Network 103

All Things Distributed

JUNE 21, 2012

Werner Vogels weblog on building scalable and robust distributed systems. In the five months since it launched in January, DynamoDB , our fast and scalable NoSQL database service, has been setting AWS growth records. s fast and easy scalability can be quickly applied to high scale applications. Comments ().

Games 142

Games Scalability AWS Database 142

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. The early GPU systems were very vendor specific and mostly consisted of graphic operators implemented in hardware being able to operate on data streams in parallel. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 136

AWS Latency Programming Architecture 136

High Scalability

NOVEMBER 25, 2019

For highly scalable services, going outside of java process is costly, even to go to Memcache or Redis so we do in-memory cache with varying TTL for some highly used data structures like access control computation, feature flags, routing metadata etc. Do you implement web analytics? How are software and hardware upgrades rolled out?

Architecture 52

Architecture Cache Azure Storage 52