The Agile Manager

SEPTEMBER 30, 2012

Development teams have a lot of specialists, both role (business analyst, developer, user experience designer, quality assurance analyst) and technical (mobile client developer, server-side Java developer, web client developer, etc.) It takes courage to exercise the quality call option. There's no way around this.

Mobile 49

Mobile Code Java Software 49

Percona

AUGUST 30, 2023

This can be changed later using the pg_checksums utility, but that will be a painful exercise on a big database. Database level setting All options discussed so far have a global scope. But there could be reasons why a PostgreSQL user wants to change that at a specific database level.

Database 101

Database Servers Open Source Tuning 101

Percona

DECEMBER 5, 2023

Inspired by David’s insights, I embarked on a journey to explore logical replication from a different perspective – within the realm of on-premises server databases. Also, it is a helpful method for version upgrades since the target database can run on a different (minor or major) PostgreSQL version. to PostgreSQL v15.4.

Database 76

Database Traffic C++ Servers 76

CSS Wizardry

NOVEMBER 3, 2020

I can see from the screenshot above that TTFB is my most stable metrics—no one page appears to have particularly expensive database queries or API calls on the back-end. The whole point of the exercise that follows is to allow me to move quickly, spotting patterns from afar, and not having to do any slow or meticulous work yet.

Speed 292

Speed Ecommerce Metrics Analytics 292

Dynatrace

DECEMBER 10, 2020

We have heard, “let’s do some chaos engineering…” before exercising basic practices like load testing and proper system monitoring, both of which are required components of chaos engineering. Then, using a design thinking process , ideate on the future and establish the business vision.

Strategy 178

Strategy Performance Logistics Monitoring 178

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Particular Software

SEPTEMBER 11, 2023

Without using some kind of bridge, both components would need to be migrated or at the very least “duplicated” (after modifying the on-prem component to talk to a cloud-accessible database). The NServiceBus Messaging Bridge The NServiceBus Messaging Bridge was designed specifically for these scenarios.

Cloud 126

Cloud Systems Azure Airlines 126

Dynatrace

APRIL 21, 2022

The Azure Well-Architected Framework is a set of guiding tenets organizations can use to evaluate architecture and implement designs that will scale over time. Design efficient use of your computing resources as demand changes and technologies evolves. Too much data requested from a database. Operational excellence. Reliability.

Azure 188

Azure Monitoring Virtualization Metrics 188

All Things Distributed

OCTOBER 2, 2017

Today marks the 10 year anniversary of Amazon's Dynamo whitepaper , a milestone that made me reflect on how much innovation has occurred in the area of databases over the last decade and a good reminder on why taking a customer obsessed approach to solving hard problems can have lasting impact beyond your original expectations.

Internet 128

Internet Internet AWS Performance 128

O'Reilly

OCTOBER 19, 2021

In effect, the engineer designs and builds the world wherein the software operates. but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise. This poses a challenge to many infrastructure tools of today, which have been designed for more rigid traditional software in mind.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138

Percona

JULY 6, 2023

Performance is one of the essential aspects of a database management system. One way to verify a column’s number of distinct values is by querying the pg_stats view in our database. If your workload and service design affords it, consider filtering your data thinking in retrieving just a few rows.

Best Practices 89

Best Practices Tuning Database Testing 89

HammerDB

JULY 16, 2021

One of the most important concepts in analysing database performance is that of understanding scalability. Plotting these data points enables us to understand the scalability of the database software being tested on that system. In particular, this means as we add CPU cores and increase the system load, we see higher performance.

Virtualization 57

Virtualization Performance C++ Database 57

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Telemetry data from a serverless environment is quite different from a database or a virtual machine (VM), for example, but a business still needs to normalize and centrally manage all the information as it comes in.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. Another problem is that a design control, intended to mitigate a failure mode, may not work as intended. STPA is based on a functional control diagram of the system, and the safety constraints and requirements for each component in the design.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

There are many possible failure modes, and each exercises a different aspect of resilience. Another problem is that a design control, intended to mitigate a failure mode, may not work as intended. STPA is based on a functional control diagram of the system, and the safety constraints and requirements for each component in the design.

Latency 53

Latency Engineering Systems Hardware 53

The Morning Paper

AUGUST 27, 2019

I am so pleased to see a database systems paper addressing the concerns of the application developer! A example class of application invariants is database integrity constraints. See Coordination avoidance in database systems for more details. Interactive checks for coordination avoidance Whittaker & Hellerstein et al.,

Programming 59

Programming Processing Database Systems 59

All Things Distributed

NOVEMBER 21, 2017

Amazon ElastiCache embodies much of what makes fast data a reality for customers looking to process high volume data at incredible rates, faster than traditional databases can manage. Developers love the performance, simplicity, and in-memory capabilities of Redis, making it among the most popular NoSQL key-value stores.

Games 112

Games Retail Latency Education 112

All Things Distributed

NOVEMBER 15, 2010

These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. Configuring kernel execution is not a trivial exercise and requires GPU device specific knowledge. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 136

AWS Latency Programming Architecture 136

O'Reilly Software

MARCH 7, 2018

In addition to that, software is increasingly dependent on other software to provide its functionality, be it WebServices, HTTP APIs, databases, or even external devices such as sensors. HTTP, TCP, FTP, MQTT, JMS), databases (i.e., The past and present of enterprise integration. The need for flow control.

Transportation 72

Transportation Java Programming Architecture 72

Strategic Tech

DECEMBER 12, 2019

Defining Aggregate Boundaries Deciding that specific business operations should succeed or fail together sounds like a simple requirements gathering exercise. They choose this because it is smaller and should be faster to load and save in the database. database transactions. Let’s refer to this as an Invariant Business Rule.

Healthcare 10

Healthcare Software Architecture Database Software 10

The Netflix TechBlog

MARCH 6, 2019

Video encoding is what MezzFS was originally designed for and remains one of its canonical use cases, so we’ll focus on video encoding to describe the problem that MezzFS solves. in Atlas , Netflix’s in-memory dimensional time series database. What problem are we solving? Its logs are collected in an ELK stack.

Media 214

Media Storage Processing Cache 214