article thumbnail

Happy 15th Birthday Amazon S3 -- the service that started it all

All Things Distributed

Back then, Amazon was ~2% of its size today, and was growing faster than traditional IT systems could support. We had to rethink everything previously known about building scalable systems. Storage was one of our biggest pain points, and the traditional systems we used just weren’t fitting the needs of the Amazon.com retail business.

Ecommerce 208
article thumbnail

Observability platform vs. observability tools

Dynatrace

Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Fallacy #8: The network is homogeneous

Particular Software

Around 2005 or 2006, it wasn’t so bad. From Udi Dahan's free Distributed Systems Design Fundamentals video course Semantic interoperability The true challenge of non-homogenous networks lies in semantic interoperability. Consider for a moment a software system for a hospital emergency room. How do we integrate these two systems?

Network 98
article thumbnail

An Unbelievable Demo

Brendan Gregg

It was 2005, and I felt like I was in the eye of a hurricane. However, I was doing training and consulting for Sun, helping their customers with system administration and performance. Another difference was that there were few roles in Australia for engineers in 2005, unlike the US. You can't make this stuff up. tools (2006).

article thumbnail

For years, tech firms were fighting a war for talent. Now they are waging war on talent.

The Agile Manager

By 2005, the tech economy had bounced back on its own. The decision is simply whether to cut (based on sales forecasts) and when to cut (systemically or opportunistically to boost FCF for the coming quarter). In the years immediately following the dot-com meltdown, there was more tech labor than there were tech jobs.

article thumbnail

Requirements for stream processing architecture

Abhishek Tiwari

In 2005 Stonebraker et al. Although, this article dates before systems such as Apache Kafka, Amazon Kinesis, Apache Spark, Apache Storm, etc. published a paper that outlined 8 key requirements for stream processing architecture. These key requirements can be easily translated into building blocks of stream processing architecture.

article thumbnail

String Aggregation Over the Years in SQL Server

SQL Performance

Since SQL Server 2005, the trick of using FOR XML PATH to denormalize strings and combine them into a single (usually comma-separated) list has been very popular. In the SQL Server 2005 days, I would have offered this solution: SELECT DISTINCT UserID , Bands =. ( On my system, this adds a little over 11,000 rows: INSERT dbo.

Servers 82