I try to read as many blogs from vendors in the synthetic monitoring space as possible, both to learn and to stay in touch with what our competition is doing. One thing that I’ve noticed is that there’s a vast amount of helpful content on how to optimize your website. There are articles that go into how to optimize images, compress files, implement lazy load, and optimize third party tags. What’s interesting about all of these tips and best practices is that they’re incredibly manual processes that require data from a large slew of tools to identify. That’s where the vendors come in. They focus on building products that help you measure the performance of your site. Then they write blogs on how to leverage their data into technical, tedious, and incredible manual processes to optimize your site. In the end, their technology rests an integral step of performance management on the shoulders of the user: Optimization.
At Rigor, we’re building new, smarter platform that allows organizations to manage web performance optimization at scale. Instead of multiple teams and business units using multiple tools as well as the manual process of identifying and fixing issues, we’re automating much of this process. Rigor enables engineering and tech ops teams to:
– Measure and trend performance from the end user perspective 24/7 (Data)
– Alert when their site’s performance degrades (Acknowledgement)
– Optimize the specific defects that are causing the degraded performance automatically (Intelligence)
Enterprise organizations deserve an enterprise level solution that can create context and define next steps by leveraging the large amounts of performance data that they are collecting. Instead of usingmanual processes and numerous tools for data collection, Rigor is simple:
- Set up Monitors with Ease: Spend minutes rather than weeks or months creating and importing monitoring tests with an easy-to-use interface or with Selenium IDE.
- Alert On What’s Important: Create thresholds or performance budgets based on your own KPIs and alert individual users, groups, or setup webhooks for Slack, Hipchat, PagerDuty or custom systems.
- Automate the Optimization Process: Rigor’s analysis engine will automatically identify the highest severity performance defects on your site and will either optimize the defect for you or will provide a detailed remediation plan that can be shared with any internal or external resource.
- Measure and Trend: Once you’ve made changes or bug fixes to the site it’s important to measure the success or failure of those changes. Trend upon different metrics and domains to achieve a better understanding of the end user experience you’re team is working towards.
There are many benefits to automating the web performance monitoring process, but to efficiently isolate and solve performance problems at scale organizations need more than just mounds of data.
At Rigor we believe our technology should provide organizations the necessary data and context to solve performance problems and make their teams more efficient. Here are some of the ways our product helps our customers do just that:
– Rigor turns traditional performance monitoring data such as page and resource timings into actionable optimizations. This means you’re saving your engineers time so that they can focus on building great products and features.
– Rigor shortens your time to resolution of site issues, enabling your team to be more efficient and create a frictionless end user experience.
– Rigor aligns with your entire performance optimization cycle and is simple enough to be used and viewed by all business units. Rigor enables increased conversions and transactions, monthly uniques, time on site, viewability of ads, revenue, and decreased cart abandonment.
We’re excited to be leading this movement in the Performance space, and we have some amazing new functionality planned for 2016 with this new mindset: Web Performance Optimization at Scale. Reach out to us if you’d like to see this new type of technology. We would love feedback from the web performance community!
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