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Mobile app developers are obsessed with speed for one simple reason - their customers are too!
We expect a lot from the apps we use. They've got to load super fast, always stay up to date, and offer a steady stream of valuable features. For developers, this means relentless pressure to reduce build times and drive efficiency to stay competitive.
There are many ways developers can work to improve build speed, such as using a solid CI/CD platform (like Bitrise), automating test processes, and applying the latest optimization strategies like build caching and parallelization.
However, even if you take all the best measures, you can only build as fast as your processing power allows. If the machines you run your builds on are not up to the task, there will always be a limit to how fast you can go.
Fortunately, Bitrise's latest Linux machines offer a solution to this challenge.
Giving you the power to build faster
If you’re looking to increase the speed of your builds, the latest updates to Bitrise’s Linux offering definitely be of interest. This is our fastest-ever Linux machine portfolio, powered by the AMD EPYC Zen4 hardware, ready to meet your needs.
Why more performant machines improve Android app development:
- Faster build and compilation times – Android projects often require significant compilation, especially for large apps. More powerful CPUs and more RAM speed up Gradle builds, reducing wait times.
- Smoother Emulator performance – The Android Emulator is resource-intensive. A machine with more memory, a high-core CPU, and SSD storage ensures that the emulator runs smoothly without lag.
- Better debugging and profiling – Running debuggers, profilers, and performance analysis tools requires processing power. A more powerful system ensures real-time debugging without lag.
Faster UI rendering and testing – Running UI tests, animations, and transitions in the Emulator or on-device is quicker on a high-performance machine.Zero hassle, high ROI
When we tested our new range of machines with our customers, the results were impressive—those who switched saw build speeds increase above 20% instantly when compiling an Android codebase.
"I see the pipeline time was reduced almost by 7 minutes! This is amazing! 👏" -- Senior Android Engineer @ N26
See the benchmarks for our usual 4, 8 and 16 vCPU Linux machine type lineup powered by the new AMD EPYC Zen4 hardware:
(For benchmarking, we used the open-source Pocket Casts Android codebase with Ubuntu 22.04 for Android & Docker Bitrise stack.)
Biggest portfolio of x86 Linux machines for your CI/CD needs
Best of all, the range of available Linux capacities has been expanded to help you find the best possible fit for your speed requirements and to make it easier to scale up or down as you need to.
By adding two more options (6 and 14 vCPU), we aim to provide Bitrise users with greater flexibility and a wider range of compute capacities, helping them find their ideal balance between cost and performance. For example, the Pocket Casts Android app’s sweet spot is the 14 vCPU machine type, where there is still performance gain compared to the 8 vCPU machine.
The additional 48, 32 and 24 vCPU machine types are now the strongest Bitrise Linux machines, up to 3x stronger than our previous strongest option, to support the most complex workflows to ensure future scaling for everyone.
Need even bigger Linux machines or a custom configuration? Reach out to us.
We have also introduced a simpler naming convention to help you choose from the largest portfolio of x86 Linux machines for all your mobile CI/CD needs.
The best performance for the best price
Keeping costs in check is just as important as speed, which is why we have made sure that you can get the performance you need at the best price possible. With our new tiered machine offerings, you can easily move up or down performance levels as your needs change, so you don’t have to worry about wasting money on machines you are not fully utilizing.
Get more out of your CI/CD cycle with new Linux machines from Bitrise
Check out our pricing page to compare compute options our reach out to us to get a personalized demo.
