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Software Architecture in Golang: Cache-Aside Cloud Design Pattern for Scalability
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Welcome to another Software Architecture in Go video, in today's episode we are discussing caching, specifically Cache-Aside, please look at the links for more details!
Why is "caching" necessary?
The idea behind caching is no new concept, in Microservices specifically is a concept we have to clearly understand to properly use it; to avoid its overuse and to know when and how to react accordingly to possible deficiencies caused by excessive caching.
When used properly caching allows returning results back to our users faster. Examples of those results could be database records, rendering pages or any other _expensive computation_.
On the other hand, if caching is not used correctly it could lead to extra latency (in case of distributed datastores like memcached), running out of memory (in case of local in-process caching), stale results or even internal errors that make our services fail.
"Cache-Aside" consists of lazy-loading resources depending on whether the resource already exists in the memory store or not.
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RELEVANT LINKS
00:00 Start
00:11 What is the caching?
01:00 What is Cache-Aside?
02:50 Caching and Cache-Aside example in Golang
06:18 Cache-Aside Golang Conclusion
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Who am I:
Hello👋🏼! I'm Mario, a Hands-on Software Architect and Lead Backend Engineer with more than 16 years of professional experience building all kinds of software including on-premise Industrial Automation Systems, Linux Accessibility Desktop and Browser Components as well as Distributed Advertising Microservices.
Every week I will share with you different topics I've learned while working for small startups and large companies including the processes I've followed over the years for successfully delivering complex enterprise systems from start to end.
Subscribe if you like Software Development, Software Architecture and Systems Design!
Keep it up. Don't give up!
#golang #microservices #softwarearchitecture
--- Our affiliate links below
--- Our Vlog Channel
Why is "caching" necessary?
The idea behind caching is no new concept, in Microservices specifically is a concept we have to clearly understand to properly use it; to avoid its overuse and to know when and how to react accordingly to possible deficiencies caused by excessive caching.
When used properly caching allows returning results back to our users faster. Examples of those results could be database records, rendering pages or any other _expensive computation_.
On the other hand, if caching is not used correctly it could lead to extra latency (in case of distributed datastores like memcached), running out of memory (in case of local in-process caching), stale results or even internal errors that make our services fail.
"Cache-Aside" consists of lazy-loading resources depending on whether the resource already exists in the memory store or not.
---
RELEVANT LINKS
00:00 Start
00:11 What is the caching?
01:00 What is Cache-Aside?
02:50 Caching and Cache-Aside example in Golang
06:18 Cache-Aside Golang Conclusion
---
Who am I:
Hello👋🏼! I'm Mario, a Hands-on Software Architect and Lead Backend Engineer with more than 16 years of professional experience building all kinds of software including on-premise Industrial Automation Systems, Linux Accessibility Desktop and Browser Components as well as Distributed Advertising Microservices.
Every week I will share with you different topics I've learned while working for small startups and large companies including the processes I've followed over the years for successfully delivering complex enterprise systems from start to end.
Subscribe if you like Software Development, Software Architecture and Systems Design!
Keep it up. Don't give up!
#golang #microservices #softwarearchitecture
--- Our affiliate links below
--- Our Vlog Channel
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