OpenText LoadRunner Professional vs. Redis Software

Micro Focus LoadRunner and its suite of tools, specifically VuGen works wonderfully for us for all web, http/https and web service calls. We've been able to build tests for near any scenario we need with relative ease. As long as we have crafted up requirements for our scenarios / scripts to managed scope, we've had high success working with scripting and data driving. Our main tests are web service calls - typically chained together to form a full scenario with transactions measuring the journey or a similar (measure along the way) journey through a browser. For web services we will use VuGen and browser we've shifted to Tru Client I have had little-to-no experience scripting against a thick client where a ui-driven test would be required. I know its possible but quite costly due to the need to run the actual desktop client to drive tests. We've been fortunate enough to leverage http calls to represent client traffic.

Incentivized

Redis has been a great investment for our organization as we needed a solution for high speed data caching. The ramp up and integration was quite easy. Redis handles automatic failover internally, so no crashes provides high availability. On the fly scaling scale to more/less cores and memory as and when needed.

Incentivized

• It can simulate multiple users at the same time and help understand the performance.
• It can generate excellent reports and give insights into application performance.
• It is a fast tool and does not take time to perform its functions.

Incentivized

• Easy for developers to understand. Unlike Riak, which I've used in the past, it's fast without having to worry about eventual consistency.
• Reliable. With a proper multi-node configuration, it can handle failover instantly.
• Configurable. We primarily still use Memcache for caching but one of the teams uses Redis for both long-term storage and temporary expiry keys without taking on another external dependency.
• Fast. We process tens of thousands of RPS and it doesn't skip a beat.

Incentivized

• HP LoadRunner with new patches and releases sometimes makes no longer support older version of various protocols like Citrix, which makes the task time-consuming when using older versions of LoadRunner for some of the cases. So it should support older version as well while upgrading.
• Configuring HP LoadRunner over the firewall involves lots of configuration and may be troublesome. So, there should be a script (power shell script for Windows or shell script for Linux users) to make it easy to use and with less pain.
• I would like to see the RunTime Viewer of Vugen in HPLoadRunner based on the browser I selected in the run-time configuration to make it feel more realistic as a real user.
• Licensing cost is very high when we need to perform a test on application for a specific group of users.

Incentivized

• We had some difficulty scaling Redis without it becoming prohibitively expensive.
• Redis has very simple search capabilities, which means its not suitable for all use cases.
• Redis doesn't have good native support for storing data in object form and many libraries built over it return data as a string, meaning you need build your own serialization layer over it.

Incentivized

We will definitely continue using Redis because: 1. It is free and open source. 2. We already use it in so many applications, it will be hard for us to let go. 3. There isn't another competitive product that we know of that gives a better performance. 4. We never had any major issues with Redis, so no point turning our backs.

Incentivized

It is quite simple to set up for the purpose of managing user sessions in the backend. It can be easily integrated with other products or technologies, such as Spring in Java. If you need to actually display the data stored in Redis in your application this is a bit difficult to understand initially but is possible.

Incentivized

Customer service is not that great. It's difficult to get hold of someone if an issue is supposed to be addressed on an urgent basis. No online chat service readily available.

Incentivized

The support team has always been excellent in handling our mostly questions, rarely problems. They are responsive, find the solution and get us moving forward again. I have never had to escalate a case with them. They have always solved our problems in a very timely manner. I highly commend the support team.

Incentivized

Whitelisting of the AWS lambda functions.

Incentivized

HP performance center stacks up very well for front end applications. Need more improvements for API performance testing.

Incentivized

We are big users of MySQL and PostgreSQL. We were looking at replacing our aging web page caching technology and found that we could do it in SQL, but there was a NoSQL movement happening at the time. We dabbled a bit in the NoSQL scene just to get an idea of what it was about and whether it was for us. We tried a bunch, but I can only seem to remember Mongo and Couch. Mongo had big issues early on that drove us to Redis and we couldn't quite figure out how to deploy couch.

Incentivized

• The scripts created with traditional web/http protocol are not robust thus re-scripting is required after most every code drop. Troubleshooting and fixing the issue takes more time therefore in most cases we do re-scripting to keep it simple and save time.
• In ideal world you would rather spend more time doing testing than scripting in that case mostly you could use an Ajax TruClient protocol. This type of script will only fail when an object in the application is removed or changed completely. This way of scripting will save you more time and helps you maintain the scripts with less re-work effort on a release basis. On the long run you will have a better ROI when you use Ajax TruClient protocol for scripting.

Incentivized

• Redis has helped us increase our throughput and server data to a growing amount of traffic while keeping our app fast. We couldn't have grown without the ability to easily cache data that Redis provides.
• Redis has helped us decrease the load on our database. By being able to scale up and cache important data, we reduce the load on our database reducing costs and infra issues.
• Running a Redis node on something like AWS can be costly, but it is often a requirement for scaling a company. If you need data quickly and your business is already a positive ROI, Redis is worth the investment.

Incentivized