Developed a transactional analysis technique to produce Performance-at-a-Glance diagrams that gave a complete breakdown of response times, by each component in the end-to-end system.
Started work on our SAS Toolkit, a tool that filters, analyse and summarise vast amounts of packet data, saving us days in producing network health check results.
Based on software engineering principles, documented a technique we called Advanced Network Troubleshooting (ANT); a forerunner of the RPR problem diagnosis methodology.
Added a module called TRANSUM to our SAS toolkit that automated that analysis of transaction response times to cut the time needed to produce Performance-at-a-Glance diagrams.
Developed Dbox – a network emulator that allows accurate end-user experience baselining and determining maximum tolerable latency for all transactions.
Released RPR, split into a process to enhance management of problem investigations, and supporting techniques to guide technical teams in the use of data capture and analysis principles.
Trace Matcher added to the SAS Toolkit to automate the matching of packets as they traversed a network, cutting the time needed to identify areas of packet loss and congestion.
The SAS Toolkit is ported to Java to become the Advance7 Java Toolkit (JTK). The toolkit is used successfully for the first time at a UK bank to analyse the performance of a Sun GL accounting system.
Advance7 develops a TRANSUM-based plugin for Wireshark that adds full response time details to the Packet Detail window, allowing network engineers to instantly find slow response times and network delay issues.
Launched a diagnostic data capture and analysis automation platform that allows the orchestration of any group of tools to quickly and accurately process traces and logs.
Extended our automation platform by deploying components in customer data centres. This allows us to stream analytics to the data source keeping all data inside our customer’s security perimeter.