Design, Example, Processing 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. There are two major processes which gets executed when a user posts a photo on Instagram. API Design. Problem Statement. Architecture.

Design

Design Media Storage Logistics

Best practices for Fluent Bit 3.0

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit was designed to help you adjust your data and add the proper context, which can be helpful in the observability backend. Ask yourself, how much data should Fluent Bit process?

Best Practices

Best Practices IoT Metrics Storage

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

Dynatrace

OCTOBER 17, 2023

As a result, IT organizations are overwhelmed as they strive to balance cost control processes with ensuring that their respective organizations have access to all the data required for their various use cases. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). Ingest and process.

Retail

Retail Storage Best Practices Architecture

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

The Netflix TechBlog

NOVEMBER 29, 2023

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. Shown below are rate versus quality examples for a couple of titles from our HDR catalog. We present two sets.

Open Source

Open Source Software Engineering Internet Internet

Key Advantages of DBMS for Efficient Data Management

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. Since its introduction in the 1960s, the concept of DBMS has undergone significant evolution.

Efficiency

Efficiency Storage Database Scalability

In-Stream Big Data Processing

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance. Interoperability with Hadoop.

Big Data

Big Data Processing Lambda Database

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

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

Dynatrace

OCTOBER 17, 2023

Grail stores and unifies all observability, security, and business data Now organizations can store all their observability, security, and business data in one repository: Grail , in Dynatrace without having to manage schemas, indexes, or storage tiers. This frees teams to focus on more strategic tasks.

Monitoring

Monitoring Artificial Intelligence Performance Analytics

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. CL provides an end-to-end solution for logging, processing, and analyzing user interactions on Netflix apps from all devices. What is your favorite project?

Data Engineering

Data Engineering Engineering Big Data Software Engineering

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. The process started with manual pull of member account information that was part of the session.

Infrastructure

Infrastructure Transportation Storage Open Source

Disaster Recovery for PostgreSQL on Kubernetes

Percona

MAY 29, 2023

pgBackrest on the Main site streams backups and Write Ahead Logs (WALs) to the object storage. Once installed, configure the Custom Resource manifest so that pgBackrest starts using the Object Storage of your choice. In this blog post, we saw how Kubernetes and Operators can simplify your DR design.

Storage

Storage Cloud Network Traffic

Enterprise Cloud Security Strategy For 2024

Scalegrid

JANUARY 9, 2024

The selection process for a suitable cloud provider is crucial as it involves aligning business objectives, regulatory requirements, and current technological infrastructure with strong cloud security measures. This process involves converting regular data into a coded form, which helps to protect its privacy and guard against cyber threats.

Strategy

Strategy Cloud Best Practices Government

File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., It’s also a fabulous example of recognising and challenging implicit assumptions. In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. SOSP’19.

Storage

Storage Systems Hardware Efficiency

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). These alerts serve as early business warnings, allowing you to take necessary measures to prevent disruptions and minimize delays in transaction processing.

Database

Database Artificial Intelligence Metrics Monitoring

Dynatrace key takeaways from o11yfest 2021

Dynatrace

MAY 26, 2021

A great example of this is Dynatrace, that’s been doing SLA monitoring for years, which Jonah also shared in his talk. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. OTel is designed to ensure flexibility and stability.

AWS

AWS Strategy Storage 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

Kubernetes: Challenges for observability platforms

Dynatrace

NOVEMBER 23, 2020

While speeding up development processes and reducing complexity does make the lives of Kubernetes operators easier, the inherent abstraction and automation can lead to new types of errors that are difficult to find, troubleshoot, and prevent. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization

Virtualization Infrastructure Monitoring Cloud

Sociotechnical Design Variables

Strategic Tech

MAY 24, 2019

Over the past few years I have focused much of my learning and work choices around learning about the design of sociotechnical systems?—?how how to design software architectures and organise teams around them. As part of good design, we should consider the effects of changing all of these variables. isolate high risk areas).

Design

Design Software Architecture Strategy Technology

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. These tools account for differences among fab locations and fabrication processes.

Energy

Energy Architecture Hardware Metrics

Key takeaways from o11yfest 2021 – SRE, Observability, and OpenTelemetry

Dynatrace

MAY 26, 2021

A great example of this is Dynatrace, that’s been doing SLA monitoring for years, which Jonah also shared in his talk. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. OTel is designed to ensure flexibility and stability.

AWS

AWS Strategy Storage Metrics

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. offers the Software Watchdog specifically designed for this purpose.

Metrics

Metrics Monitoring Latency Cache

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

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing.

Analytics

Analytics Processing Transportation Storage

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

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. On the other hand, these optimizations themselves need to be sufficiently inexpensive to justify their own processing cost over the gains they bring.

Storage

Storage Latency Efficiency Data Engineering

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

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. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks.

Performance

Performance DevOps Innovation Artificial Intelligence

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. If your company is pursuing AWS certification for a team, AWS Certification Exam Vouchers make the process easier.

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

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.

Mobile

Mobile Tuning Monitoring Storage

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 to Assess MySQL Performance

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 example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9

Performance

Performance Benchmarking Cache Storage

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

Thinking About Power Usage and Websites

CSS - Tricks

SEPTEMBER 21, 2020

I would think if you really looked, and knew exactly how to measure it, you could find examples like that. In that example, usually, we’re thinking about performance moreso than energy consumption, but that’s interesting right away: does good performance map to lower energy usage? The large one. The large one.

Website

Website Energy Storage Efficiency

Netflix at AWS re:Invent 2019

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Thursday?—?December

AWS

AWS Entertainment Open Source Benchmarking

Netflix at AWS re:Invent 2019

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. Thursday?—?December

AWS

AWS Entertainment Open Source Benchmarking

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

More powerful Cosmos DB persistence

Particular Software

JUNE 20, 2022

of our CosmosDB persistence package , we’ve made defining the partition key for each message processed by NServiceBus much more straightforward, without needing a custom pipeline behavior. We’ve also added pessimistic concurrency support for more reliable processing of sagas with high contention patterns. In version 1.1

Azure

Azure Storage Strategy Tuning

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

Optimizations to scatter-gather sagas

Particular Software

OCTOBER 6, 2020

Invariably, the sagas that were at fault were examples of the scatter-gather pattern, and the ultimate culprit was contention at the storage level due to the optimistic concurrency strategy that was being used. For a simplified example, let’s say you’re running an email campaign. In the example of two messages, this is trivial.

Strategy

Strategy Database Infrastructure Design

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

Percona

SEPTEMBER 1, 2023

A finely tuned database processes queries more efficiently, leading to swifter results. These issues often arise from suboptimal query design, missing or ineffective indexes, or dealing with large datasets. By analyzing disk I/O metrics, you can optimize queries to reduce disk reads or upgrade to faster storage solutions.

Tuning

Tuning Database Performance Hardware

Pre-Deployment Policy Compliance

Abhishek Tiwari

JULY 22, 2023

In this article, we will explore into the significance of pre-deployment policy compliance, explore the role of policy as code frameworks, and showcase real-life examples of successful implementations. By integrating policy as code frameworks into CI/CD pipelines, compliance checks are seamlessly integrated into the development process.

AWS

AWS Best Practices Infrastructure Traffic

MariaDB vs MySQL: Key Differences and Use Cases

Percona

JUNE 4, 2023

Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. Efficient data processing and indexing, making it optimal for executing queries and handling large datasets.

Open Source

Open Source Servers Storage Scalability

Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

SEPTEMBER 28, 2022

Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. On design systems, UX, web performance and CSS/JS. Jamstack files usually use Markdown before being compiled to HTML, for example: author: Agustinus Theodorus title: ‘Title’ description: Description. Hello World.

Performance

Performance Cache Servers Social Media

Designing Instagram

Best practices for Fluent Bit 3.0

Trending Sources

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

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

Key Advantages of DBMS for Efficient Data Management

In-Stream Big Data Processing

Implementing AWS well-architected pillars with automated workflows

What is a Distributed Storage System

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

Data Engineers of Netflix?—?Interview with Pallavi Phadnis

Building Netflix’s Distributed Tracing Infrastructure

Disaster Recovery for PostgreSQL on Kubernetes

Enterprise Cloud Security Strategy For 2024

File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

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

Dynatrace key takeaways from o11yfest 2021

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

Kubernetes: Challenges for observability platforms

Sociotechnical Design Variables

Reducing Embodied Carbon is Important

Key takeaways from o11yfest 2021 – SRE, Observability, and OpenTelemetry

Crucial Redis Monitoring Metrics You Must Watch

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

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

Optimizing data warehouse storage

AWS observability: AWS monitoring best practices for resiliency

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

Carving an AWS certification path

How digital experience monitoring helps deliver business observability

Understand and replay iOS app crashes with Session Replay

Why MySQL Could Be Slow With Large Tables

How to Assess MySQL Performance

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

Thinking About Power Usage and Websites

Netflix at AWS re:Invent 2019

Netflix at AWS re:Invent 2019

How It Works: SQL Server Lock Partitioning

More powerful Cosmos DB persistence

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

Optimizations to scatter-gather sagas

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

Pre-Deployment Policy Compliance

MariaDB vs MySQL: Key Differences and Use Cases

Five Data-Loading Patterns To Improve Frontend Performance

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