Analytics, Design, Example and Storage - Technology Performance Pulse

Designing Instagram

High Scalability

JANUARY 11, 2022

Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. Component Design. API Design. We have provided the API design of posting an image on Instagram below. Problem Statement. Sending and receiving messages from other users.

Design

Design Media Storage Logistics

Stay in control of your data retention with Dynatrace Grail—from 10 days to 10 years

Dynatrace

APRIL 28, 2023

Customers must comply with internal and external policies and regulations that might demand them to keep specific data stored for a minimum period of time (for example, audit logs). For example, suppose data has to be retained for a longer period because of legal or business reasons.

Analytics

Analytics Storage Infrastructure Metrics

IT Operations: A Use Case in the 2023 Gartner Critical Capabilities for Application Performance Monitoring and Observability

Dynatrace

OCTOBER 17, 2023

Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. The data is stored with full context, which enables AI to deliver precise answers with speed and analytics to give rich insights with efficiency. 5) in the Gartner report.

Monitoring

Monitoring Artificial Intelligence Performance Analytics

Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

OCTOBER 17, 2023

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail

Retail Storage Best Practices Architecture

Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. It is critical for fast-paced product innovation at Netflix since CL provides foundational data for personalization, A/B experimentation, and performance analytics.

Data Engineering

Data Engineering Engineering Big Data Software Engineering

The Power of Integrated Analytics Within an IMDG

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Take a look at how integrated data analytics can help client applications. The Challenges with Parallel Queries.

Analytics

Analytics Airlines Cache Scalability

The Power of Integrated Analytics Within an IMDG

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Take a look at how integrated data analytics can help client applications. The Challenges with Parallel Queries.

Analytics

Analytics Airlines Cache Scalability

What is session replay? Discover user pain points with session recordings

Dynatrace

DECEMBER 20, 2021

For example, the <body> element of your page exists on one branch of this tree structure, with any <img> assets branching off. Consider the example of “rage clicks,” which are rapid clicks (or taps) on the same spot when a feature is unresponsive. Improved analytic context. In others, patterns emerge.

Mobile

Mobile Website Analytics Cache

What is a Distributed Storage System

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage

Storage Systems Big Data Azure

Carving an AWS certification path

Dynatrace

SEPTEMBER 30, 2021

The list of AWS certifications below shows there are two main AWS certification types: Core and Specialty, six classified as Core AWS Certifications, and five designated as Specialty AWS Certifications. Data analytics. As of June 2021, Amazon currently offers 11 certifications. Core AWS certifications. Machine learning.

AWS

AWS Best Practices Analytics Cloud

How digital experience monitoring helps deliver business observability

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). Endpoint monitoring (EM). Endpoints can be physical (i.e., PC, smartphone, server) or virtual (virtual machines, cloud gateways).

Monitoring

Monitoring Social Media IoT Metrics

AWS observability: AWS monitoring best practices for resiliency

Dynatrace

NOVEMBER 22, 2021

EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale. With EC2, Amazon manages the basic compute, storage, networking infrastructure and virtualization layer, and leaves the rest for you to manage: OS, middleware, runtime environment, data, and applications. Amazon EC2.

Best Practices

Best Practices AWS Monitoring Serverless

Implementing AWS well-architected pillars with automated workflows

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS

AWS Efficiency Azure Cloud

Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Now let’s look at how we designed the tracing infrastructure that powers Edgar. A second job taps the data feed from the first job, does tail sampling of data and writes traces to the storage system.

Infrastructure

Infrastructure Transportation Storage Open Source

Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

JANUARY 31, 2024

By putting data in context, OpenPipeline enables the Dynatrace platform to deliver AI-driven insights, analytics, and automation for customers across observability, security, software lifecycle, and business domains. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics

Analytics Processing Transportation Storage

Extend business observability: Extract business events from online databases (Part 2)

Dynatrace

SEPTEMBER 8, 2023

To achieve this, we’ll create a Grail bucket specifically designed to retain data for a duration of 10 years (3,657 days). In the above recording, we demonstrate an alert specifically designed to notify when there is a significant increase in pending transactions.

Database

Database Artificial Intelligence Metrics Monitoring

Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

JANUARY 23, 2024

For example, high-quality data and predictive AI enable causal AI to provide precise, continuous, and actionable insights in real time. Edge computing brings compute and data storage closer to where data is generated to help reduce costs, boost performance, and improve customer experience. Join us for Dynatrace Perform 2024.

Performance

Performance DevOps Innovation Artificial Intelligence

Driving down the cost of Big-Data analytics - All Things Distributed

All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Hadoop is quickly becoming the preferred tool for this type of large scale data analytics.

Big Data

Big Data Analytics AWS Cloud

How unified data and analytics offers a new approach to software intelligence

Dynatrace

OCTOBER 4, 2022

For example, users generate user data, ecommerce sites generate business data, and service portals generate service desk tickets and call volume data. Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Analytics

Analytics Software Software Storage

Percona Monitoring and Management 2 Scaling and Capacity Planning

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. 25 Bytes, or you should plan storage roughly between 500 GB – one TB for a default 30 day retention period.

Monitoring

Monitoring Scalability Cache Database

Data privacy by design: How an observability platform protects data security

Dynatrace

APRIL 19, 2023

Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.

Design

Design Storage Programming Analytics

Are Imposter Domains Re-Publishing Your Website?

Smashing Magazine

SEPTEMBER 20, 2021

For example, someone might web scrape all the product pages of a competitor’s retail site to harvest information about products being offered and current pricing to try to gain a competitive edge. A better approach is to use the data you are already collecting with your web analytics or R eal U ser M easurement ( RUM ) services.

Website

Website Analytics Google Cache

MariaDB vs MySQL: Key Differences and Use Cases

Percona

JUNE 4, 2023

While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation. Some key features and functionalities of MySQL include: Support for multiple storage engines, allowing users to choose what is suitable for their needs.

Open Source

Open Source Servers Storage Scalability

How Improving Website Performance Can Help Save The Planet

Smashing Magazine

JANUARY 15, 2019

In 2013, A List Apart published Sustainable Web Design by James Christie. An obvious metric here is CPU usage, but memory usage and other forms of data storage also play their part. Sustainable Web Design. In 2016, O’Reilly published “ Designing For Sustainability ” by Tim Frick.

Website Performance

Website Performance Website Energy Performance

Enhance data management with Grail: Ultimate guide to custom buckets and security policies

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Buckets are similar to folders, a physical storage location. There is a default bucket for each table.

Artificial Intelligence

Artificial Intelligence Analytics Metrics Storage

No Server Required - Jekyll & Amazon S3 - All Things Distributed

All Things Distributed

AUGUST 17, 2011

As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. It is simple and elegant, as you would expect from someone who has won several design awards. Driving Storage Costs Down for AWS Customers. or rss feed.

Servers

Servers Social Media AWS Website

The history of Grail: Why you need a data lakehouse

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

Artificial Intelligence

Artificial Intelligence Analytics Storage Architecture

Testing a mobile application – 16 steps you should not miss

Testsigma

FEBRUARY 13, 2021

Testing for upcoming OS Versions: New OS versions with major changes in the development kit, design or libraries are announced quite often. For example, a mobile application where users can play different types of media from the internet may want to switch to the strongest network connection available.

Mobile

Mobile Testing Network Analytics

The AWS GovCloud (US) Region - All Things Distributed

All Things Distributed

AUGUST 16, 2011

For example a number of our European customers are subject to data residency requirements when it comes to PII data and they use the EU Region to meet to those requirements. The Cloud First strategy is most visible with new Federal IT programs, which are all designed to be â??Cloud Driving Storage Costs Down for AWS Customers.

AWS

AWS Government Big Data Cloud

Why test data management is more important than you think

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. This reduces redundant data copies, and hence the cost of storage is reduced. Why test data management is so important.

Testing

Testing Storage Database Processing

What is Greenplum Database? Intro to the Big Data Database

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. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Greenplum Architectural Design. Greenplum Advantages.

Big Data

Big Data Database Artificial Intelligence Open Source

In-Stream Big Data Processing

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The design of the in-stream processing engine itself was driven by the following requirements: SQL-like functionality. Fault-tolerance. Interoperability with Hadoop.

Big Data

Big Data Processing Lambda Database

Creating A Magento PWA: Customizing Themes vs. Coding From Scratch

Smashing Magazine

NOVEMBER 2, 2021

Application leaders for digital commerce technologies must plan for PWAs when designing digital commerce experiences”. Meet Adam Silver’s Form Design Patterns , a practical guide to designing and building forms for the web. Below is an example of the Netatmo PWA. The Design Gives Ground For Utmost Usability.

Code

Code Cache Retail Mobile

Accelerate your cloud journey with Dynatrace observability for AWS S3 logs

Dynatrace

JUNE 27, 2023

Many AWS services and third party solutions use AWS S3 for log storage. We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail.

AWS

AWS Cloud Lambda Analytics

Using JSONB in PostgreSQL: How to Effectively Store & Index JSON Data in PostgreSQL

Scalegrid

JULY 17, 2020

If you store each of the keys as columns, it will result in frequent DML operations – this can be difficult when your data set is large - for example, event tracking, analytics, tags, etc. For example, Stripe transactions. JSONB storage results in a larger storage footprint. JSON preserves duplicate keys.

Storage

Storage Database Efficiency Processing

HammerDB v4.0 New Features Pt1: TPROC-C & TPROC-H

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint.

C++

C++ Benchmarking Virtualization Open Source

Driving Bandwidth Cost Down for AWS Customers. - All Things.

All Things Distributed

JUNE 29, 2011

For example, when our retail customers contributed to create larger economies of scale for Amazon.com, we used the savings to lower pricing such that our customers could also benefit. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics.

AWS

AWS Retail Innovation Strategy

Friends don't let friends build data pipelines

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. These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center.

Latency

Latency Analytics Scalability Engineering

Introducing Dynatrace built-in data observability on Davis AI and Grail

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality.

DevOps

DevOps Analytics Airlines Metrics

Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT

IoT Azure Analytics Serverless

DROAM - Dreaming about Cheap Data Roaming - All Things.

All Things Distributed

JANUARY 11, 2011

One wireless company for example has an international plan that will charge you $25 per month for 50MB after which they will charge you $20 per MB. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

Wireless

Wireless AWS Internet Internet

New Route 53 and ELB features: IPv6, Zone Apex, WRR and more.

All Things Distributed

MAY 24, 2011

allthingsdistributed.com) point to same location where for example www.allthingsdistributed.com is pointing to jump through complex redirect hoops. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

Internet

Internet Internet AWS Scalability

What Is a Workload in Cloud Computing

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Storage is a critical aspect to consider when working with cloud workloads.

Cloud

Cloud Virtualization Storage Efficiency

The Benefits of Software Architecture: Hierarchical Digital Twins

ScaleOut Software

JUNE 29, 2018

For example, if an application is analyzing telemetry from the components of a windmill, it can zoom in on the telemetry for each component and combine this with relevant contextual data, such as the component’s make, model, and service history, to enhance its ability to predict impending failures. See the diagram below.)

Software Architecture

Software Architecture Architecture Software Software

Designing Instagram

Stay in control of your data retention with Dynatrace Grail—from 10 days to 10 years

Trending Sources

IT Operations: A Use Case in the 2023 Gartner Critical Capabilities for Application Performance Monitoring and Observability

Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Data Engineers of Netflix?—?Interview with Pallavi Phadnis

The Power of Integrated Analytics Within an IMDG

The Power of Integrated Analytics Within an IMDG

What is session replay? Discover user pain points with session recordings

What is a Distributed Storage System

Carving an AWS certification path

How digital experience monitoring helps deliver business observability

AWS observability: AWS monitoring best practices for resiliency

Implementing AWS well-architected pillars with automated workflows

Building Netflix’s Distributed Tracing Infrastructure

Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Extend business observability: Extract business events from online databases (Part 2)

Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Driving down the cost of Big-Data analytics - All Things Distributed

How unified data and analytics offers a new approach to software intelligence

Percona Monitoring and Management 2 Scaling and Capacity Planning

Data privacy by design: How an observability platform protects data security

Are Imposter Domains Re-Publishing Your Website?

MariaDB vs MySQL: Key Differences and Use Cases

How Improving Website Performance Can Help Save The Planet

Enhance data management with Grail: Ultimate guide to custom buckets and security policies

No Server Required - Jekyll & Amazon S3 - All Things Distributed

The history of Grail: Why you need a data lakehouse

Testing a mobile application – 16 steps you should not miss

The AWS GovCloud (US) Region - All Things Distributed

Why test data management is more important than you think

What is Greenplum Database? Intro to the Big Data Database

In-Stream Big Data Processing

Creating A Magento PWA: Customizing Themes vs. Coding From Scratch

Accelerate your cloud journey with Dynatrace observability for AWS S3 logs

Using JSONB in PostgreSQL: How to Effectively Store & Index JSON Data in PostgreSQL

HammerDB v4.0 New Features Pt1: TPROC-C & TPROC-H

Driving Bandwidth Cost Down for AWS Customers. - All Things.

Friends don't let friends build data pipelines

Introducing Dynatrace built-in data observability on Davis AI and Grail

Adding New Capabilities for Real-Time Analytics to Azure IoT

DROAM - Dreaming about Cheap Data Roaming - All Things.

New Route 53 and ELB features: IPv6, Zone Apex, WRR and more.

What Is a Workload in Cloud Computing

The Benefits of Software Architecture: Hierarchical Digital Twins

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