The document is a comprehensive guide focused on optimizing the performance of Golang applications, highlighting the importance of speed and resource efficiency. It offers practical tips on improving latency, managing resources, and using efficient algorithms, with recommendations on asynchronous I/O operations and the judicious use of goroutines. The guide emphasizes employing best practices, such as utilizing protocol buffers for data transmission and preallocating slices to enhance application performance.

1. Ultimate
Golang
Performance
Optimization
Guide
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2. Quick Summary:
Golang is a widely used language in cloud-
based and server-side apps. Artificial
intelligence, Machine learning, and data
science are some of the top-most growing
industries, and you already know that
Golang is a highly preferred programming
language to build such applications. This
blog post contains sure shot tips for Golang
performance optimization.

3. Introduction

4. We are here with the most awaited patterns
for your application to improve Golang
Performance. Everyone wants a speedy app(
a user wants speedy delivery & A developer
wants fast performance), whereas an
entrepreneur wants both!
The reasons may be different, but the need
for Golang optimization is the same. You
have chosen Go for your business
application that proves that you are already
on the right path. However, you need to
improve the speed and performance of your
Go application to make it more accessible
from the user’s point of view. There will be
two primary reasons you want to optimize
your Golang application. Either for resource
efficiency or for improvising the operation
latency.

5. Your application should be such that it does
not require so many resources that it keeps
on waiting for the operation. On the other
hand, your Golang application is too
complicated that to execute one of its tasks,
it has to depend on another, and in this
manner, it becomes a dead-end loop of
dependencies.

6. Proven and
Tested Golang
Performance
Tips

7. Resource Efficiency
Optimization
Product owners can improve their app
performance by optimizing resource
utilization. Some parts of your program
demand more resources than others, and
you need to find out such red spots of your
application program. It can be CPU,
bandwidth, or memory.

8. Golang Latency
Optimization
Here, you have to identify the bottlenecks
of your program. The goal is to improve Go
performance optimization in a particular
function’s latency. The Golang latency is
automatically enhanced as you improve
your program’s resource efficiency. But, on
the contrary, improving latency may, in
turn, demand increased consumption of
resources. However, you have to be
conscious of both- program bottlenecks and
hot spots to work on them simultaneously.

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10. Algorithm Efficiency
A program has several ways of varying
magnitudes to execute the same operation.
You would gain maximum performance in
your application by implementing
algorithm optimization. Continue reading
our blog to meet with and overcome the
above three (latency, resource, and
algorithm) efficiencies in your Golang
application. It is a curated list made with
the help of our expert Go developers.
As you hire Golang developer from us, you
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A-to-Z of your Golang application.

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12. Golang
Application
Performance
Patterns

13. To improvise the speed of your Golang
application, you need to use third-party
tools and built-in packages for
optimization. Your program compiler can
rarely optimize your Go program code on
its own. Hence we have collected these
best-practice recommendations that set
benchmarks in the industry. Each tip would
be useful because it depends on your
application type and requirement.
Depending on your app logic and load, you
can choose from these Golang performance
patterns.

14. The feature that makes Golang a valuable
programming language is using Goroutines,
which also makes it Cost efficient.
However, goroutines do cost a significant
memory footprint, which affects your app
performance. Generally, Go programmers
create infinite goroutines without
calculating or knowing when they will exit.
Hence, we recommend you to start a
goroutine only if you know when it exists.
Limit the usage of
Goroutines

15. Synchronization takes a considerable
amount of time, and when you can
parallelize your work by utilizing available
cores, that will surely optimize the
performance of your Go application. This
step will speed up your app execution
linearly.
Parallelize CPU work

16. The most common bottleneck is network
transactions and files input/output
executions. So, to optimize your Golang
application performance, you can make
independent I/O operations asynchronous.
This way, such operations run in parallel
and improve your downstream latency. You
can use sync.WaitGroup to synchronize
multiple I/O operations.
Make I/O operations
asynchronous

17. I/O operations usually take loads of time,
which leads to latency. To overcome this,
you should avoid starting any I/O task
without knowing the time it shall consume.
It would help if you started using
SetDeadline, SetReadDeadline, and
SetWriteDeadline before setting a timeout
on each network request.
Keep a watch on your
timeouts

18. Whenever you create new objects, the
system consumes memory and CPU cycles,
increasing latency. It keeps the garbage
collector occupied, which is not a good sign,
especially in hot spots. Hence, whenever
possible, you should reuse objects and use
sync.Pool.
Do not allocate memory in
hot spots

19. It would be best to avoid synchronization
because it leads to racing situations and
contentions. To improve efficiency and
latency, you should prevent mutex. Many
lock-free solutions are available for some
common data structures.
Use lock-free algorithms
Favor read-only locks
As you imply full-locks to heavy objects
that are synchronized, your goroutines
have to wait a long time. To avoid such
trouble, you should make use of read-only
locks.

20. Go programs can call into C libraries using
cgo. However, the cgo function has a high
overhead. It consumes thread during
operation, just like blocking I/O. You should
not call a C code in between a tight loop. For
the best performance of your Golang
application, we suggest not using cgo.
Minimize or avoid using
‘cgo’
Use buffered I/O
Accessing singular objects costs disk
operations, which ruins the program
efficiency. Using buffered input/output will
considerably improve your app speed
because it will have to read and write bigger
chunks of data.

21. Connect with us today to
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22. Use Binary over
Text formats Both binary and text formats
are valid in PostgreSQL. However, binary is
much faster than the text format. While
using the binary form, the processing is
only required when converting from
network byte order. Thus, for the
PostgreSQL server, the binary format is
more efficient for transmission than the
text format.

23. Prefer StringBuffer or
StringBuilder
The system uses the ‘+’ and ‘+=’ operators to
allocate a new string on every assignment.
To overcome this inefficiency, you should
use StringBuffer and StringBuilder for the
speedy execution of your program.
Use regular expressions
Some programs might be using the same
regular expression several times, and if you
compile the regular expression before every
use, your app will be inefficient. Thus, for
repeated matching, you should use
compiled regular expressions.

24. Preallocate slices
The Go language automatically allocates
memory when your demand reaches the
current capacity. During re-allocation, the
system gives double memory when the
array moves to a new location. To avoid this
memory wastage and unnecessary garbage
collection, you should preallocate the slices
whenever possible.
Go for Protocol Buffers and
MessagePack
JSON and Gob are somewhat reluctant
because they use reflection. Instead, it
would be best to use Protocol Buffers and
MessagePack.

25. Use int, not string for maps
If your application uses Maps, you should
use int keys over a string. Tailor your
business needs with the top-notch Golang
development company.

26. Key Take
Away On
Golang
Performance
Tuning

27. I hope your purpose of landing on this in-
detail Go performance guide has served.
App performance and reliability are equally
important. Give your preference to what
your app users need. Follow the above
mentioned tips to uplift your golang app
performance by optimizing your app with
customized functionalities. Outsource your
Golang performance optimization to the
Golang application development company
like Bacancy be assured that our Golang
developer will fulfill all your custom
business requirements.

28. Thank you
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