Availability, Design, Example and Storage - Technology Performance Pulse

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

Dynatrace

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. This means compromising between keeping data available as long as possible for analysis while juggling the costs and overhead of storage, archiving, and retrieval.

Analytics

Analytics Storage Infrastructure Metrics

All of Netflix’s HDR video streaming is now dynamically optimized

The Netflix TechBlog

NOVEMBER 29, 2023

HDR was launched at Netflix in 2016 and the number of titles available in HDR has been growing ever since. Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10.

Open Source

Open Source Software Engineering Internet Internet

Disaster Recovery for PostgreSQL on Kubernetes

Percona

MAY 29, 2023

With the Percona Operators, businesses can manage multi-cloud or hybrid-cloud PostgreSQL deployments with ease, ensuring that critical data is always available and secure, no matter what happens. pgBackrest on the Main site streams backups and Write Ahead Logs (WALs) to the object storage.

Storage

Storage Cloud Network Traffic

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. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS

AWS Efficiency Azure Cloud

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

Key Advantages of DBMS for Efficient Data Management

Scalegrid

JANUARY 5, 2024

It was initially designed to mitigate the limitations of file management systems, including slow operations, inadequate security, and substantial data redundancy. It comprises a collection of interrelated data and a set of software tools that aid in the access, processing, and management of data.

Efficiency

Efficiency Storage Database Scalability

Kubernetes: Challenges for observability platforms

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host. The Kubernetes experience.

Virtualization

Virtualization Infrastructure Monitoring Cloud

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. Thanks to the migration to V2, we were able to improve data availability and usability for our consumers significantly.

Data Engineering

Data Engineering Engineering Big Data Software Engineering

Expanding the Cloud ? Managing Cold Storage with Amazon Glacier

All Things Distributed

AUGUST 20, 2012

Managing Cold Storage with Amazon Glacier. With the introduction of Amazon Glacier , IT organizations now have a solution that removes the headaches of digital archiving and provides extremely low cost storage. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud â??

Storage

Storage Cloud AWS Media

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

OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

JUNE 7, 2023

Kubernetes also gives developers freedom of choice when selecting operating systems, container runtimes, storage engines, and other key elements for their Kubernetes environments. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance.

Open Source

Open Source Social Media Infrastructure Operating System

Reducing Embodied Carbon is Important

ACM Sigarch

AUGUST 3, 2023

(Editor’s Note: This post was submitted as a rebuttal to Andrew Chien’s July 24 SIGARCH Blog Post ) The recent post “ Why Embodied Carbon is a poor Architecture Design metric, and Operational Carbon remains an important Problem ” by Prof. Andrew Chien rightfully raises awareness of the challenges of reducing operational carbon.

Energy

Energy Architecture Hardware Metrics

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. For example, are all user bounces caused by the same issue?

Mobile

Mobile Website Analytics Cache

How digital experience monitoring helps deliver business observability

Dynatrace

APRIL 26, 2022

DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT. Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring

Monitoring Social Media IoT Metrics

Auto-Increment Counter Persistence in MySQL 8: Comparing the Evolution From MySQL 5.7

Percona

SEPTEMBER 12, 2023

The auto-increment feature, which generates unique values for primary key columns, is an integral part of the database’s design. with MySQL 8, and provide practical examples to demonstrate the differences. With the release of MySQL 8, a notable enhancement was introduced to the auto-increment counter. Compared to MySQL 5.7,

Servers

Servers Storage Database Open Source

Crucial Redis Monitoring Metrics You Must Watch

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. It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality.

Metrics

Metrics Monitoring Latency Cache

20X Faster Backup Preparation With Percona XtraBackup 8.0.33-28!

Percona

JULY 25, 2023

They are then applied (for example, writing old values back again) to the pages again and written to disk. After the “data dictionary” (DD) engine and DD cache are initialized on a server, the Storage Engines can ask for a table definition. Let’s take a look at the example table. CREATE TABLE test.t1(a

Cache

Cache Benchmarking Servers Design

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

Understand and replay iOS app crashes with Session Replay

Dynatrace

FEBRUARY 9, 2021

For example, if there’s an increase in the number of crashes in your app, Dynatrace will automatically create a problem that indicates the degree of severity and the affected users. Let’s take a detailed look at a few use cases and examples to better understand the value of this enhancement. Data protection by default.

Mobile

Mobile Tuning Monitoring Storage

Solving Common Cross-Platform Issues When Working With Flutter

Smashing Magazine

JUNE 18, 2020

More specifically, we’re going to talk about storage and UI differences, which are the ones that most often cause confusion to developers when writing Flutter code that they want to be cross-platform. Example 1: Storage. Secure Storage On Mobile. The situation when it comes to mobile apps is completely different.

Storage

Storage Mobile Website Java

Carving an AWS certification path

Dynatrace

SEPTEMBER 30, 2021

What kinds of AWS certifications are available today? 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. As of June 2021, Amazon currently offers 11 certifications.

AWS

AWS Best Practices Analytics Cloud

Optimizing data warehouse storage

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage

Storage Latency Efficiency Data Engineering

Netflix at AWS re:Invent 2019

The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS

AWS Entertainment Open Source Benchmarking

Netflix at AWS re:Invent 2019

The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS

AWS Entertainment Open Source Benchmarking

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

Why MySQL Could Be Slow With Large Tables

Percona

JANUARY 19, 2023

Example (using the employee sample DB ): Suppose we have the following schema: db1 employees> show create table employeesG 1. Make sure you design the data types correctly while planning for the future growth of the table. It can help us to save costs on storage and backup times. 1 mysql mysql 592K Dec 30 02:48 tb1.ibd

Open Source

Open Source Storage Database Big Data

How It Works: SQL Server Lock Partitioning

SQL Server According to Bob

SEPTEMBER 9, 2019

Previous posts have discussed partitioning, for example, a partitioned memory object [link] and how a latch maintains the desired access (exclusive, shared, …) [link]. The lock manager (LockMgr) is designed to track partitioned and non-partitioned locks. Quick Refresher Over Partitioned Protection/Locking.

Servers

Servers Database Scalability Tuning

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.

Performance

Performance DevOps Innovation Artificial Intelligence

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

Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration

The Morning Paper

JANUARY 30, 2020

The kind of edge server envisaged here might, for example, be integrated with your WiFi access point. One example from the paper is an application using the ammo.js As an example, the figure below illustrates the runtime state of the cubes simulation app. physics engine that simulates 3D cubes falling from the air.

Mobile

Mobile Cloud Latency Games

MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. These issues often arise from suboptimal query design, missing or ineffective indexes, or dealing with large datasets. Regularly optimizing query structures is vital.

Tuning

Tuning Database Performance Hardware

The Power of Integrated Analytics Within an IMDG

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. From its inception, the design philosophy behind ScaleOut StateServer has been to simultaneously maximize both performance and ease of use. In-Memory Data Grids for Fast-Changing Data.

Analytics

Analytics Airlines Cache Scalability

The Power of Integrated Analytics Within an IMDG

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. From its inception, the design philosophy behind ScaleOut StateServer has been to simultaneously maximize both performance and ease of use. In-Memory Data Grids for Fast-Changing Data.

Analytics

Analytics Airlines Cache Scalability

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

Designed to reach beyond petabyte (PB) scale, OpenPipeline will—at its launch— quintuple the ingest throughput from 100 TB a day per tenant to 500 TB a day per tenant. OpenPipeline high-performance filtering and preprocessing provides full ingest and storage control for the Dynatrace platform. Commitment to privacy.

Analytics

Analytics Processing Transportation Storage

Dynatrace Managed turnkey Premium High Availability for globally distributed data centers (Early Adopter)

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. For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. Turnkey high availability across globally distributed data centers.

Availability

Availability Hardware Latency Traffic

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

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

Automatically Transforming And Optimizing Images And Videos On Your WordPress Website

Smashing Magazine

NOVEMBER 9, 2021

To do that, you develop a personalized design style, including a certain combination of colors, typography, spacing, animations, and others, and apply the style consistently throughout your site. An example in case is this same website, Smashing Magazine. What about images? Applying style to the images can be achieved with CSS.

Website

Website Social Media Media Design

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. Syncing with external data sources.

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

Setting Up and Deploying PostgreSQL for High Availability

Percona

JULY 7, 2023

With the average cost of unplanned downtime running from $300,000 to $500,000 per hour , businesses are increasingly using high availability (HA) technologies to maximize application uptime. Where a high availability design once worked well, it can no longer keep up with more complex requirements.

Availability

Availability Open Source Architecture Database

Testing a mobile application – 16 steps you should not miss

Testsigma

FEBRUARY 13, 2021

Test on different screen sizes: Mobile devices are available in different screen sizes. Test on different device configurations: There are so many options available in the mobile market, from low-cost to high-cost, that it becomes a real challenge to support your mobile application on every device.

Mobile

Mobile Testing Network Analytics

Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

NOVEMBER 26, 2023

In this session, learn how AWS has been supporting customers like the Territorial Intelligence Centre (CIT) in designing cutting-edge tools to address traceability in supply chains with deforestation risks by integrating governmental databases, innovative map services, and land-use data from high spatial resolution satellite imagery.

AWS

AWS Energy IoT Best Practices

Why test data management is more important than you think

Testsigma

MAY 7, 2020

All data management tasks included moving data from back-end systems to identifying test data, data masking of sensitive data, skipped production defects due to unavailability of correct test data, manipulation of data for different scenarios, storage of test data.”. So the complete process was reviewed and evaluated.

Testing

Testing Storage Database Processing

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

All of Netflix’s HDR video streaming is now dynamically optimized

Trending Sources

Disaster Recovery for PostgreSQL on Kubernetes

Implementing AWS well-architected pillars with automated workflows

What is a Distributed Storage System

Key Advantages of DBMS for Efficient Data Management

Kubernetes: Challenges for observability platforms

Data Engineers of Netflix?—?Interview with Pallavi Phadnis

Expanding the Cloud ? Managing Cold Storage with Amazon Glacier

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

OpenShift vs. Kubernetes: Understanding the differences

Reducing Embodied Carbon is Important

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

How digital experience monitoring helps deliver business observability

Auto-Increment Counter Persistence in MySQL 8: Comparing the Evolution From MySQL 5.7

Crucial Redis Monitoring Metrics You Must Watch

20X Faster Backup Preparation With Percona XtraBackup 8.0.33-28!

Percona Monitoring and Management 2 Scaling and Capacity Planning

Understand and replay iOS app crashes with Session Replay

Solving Common Cross-Platform Issues When Working With Flutter

Carving an AWS certification path

Optimizing data warehouse storage

Netflix at AWS re:Invent 2019

Netflix at AWS re:Invent 2019

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

Why MySQL Could Be Slow With Large Tables

How It Works: SQL Server Lock Partitioning

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

MariaDB vs MySQL: Key Differences and Use Cases

Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration

MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

The Power of Integrated Analytics Within an IMDG

The Power of Integrated Analytics Within an IMDG

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

Dynatrace Managed turnkey Premium High Availability for globally distributed data centers (Early Adopter)

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

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

Automatically Transforming And Optimizing Images And Videos On Your WordPress Website

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

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

Setting Up and Deploying PostgreSQL for High Availability

Testing a mobile application – 16 steps you should not miss

Sustainability Talks and Updates from AWS re:Invent 2023

Why test data management is more important than you think

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