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Serverless has been around for a minute now but it’s safe to say that it’s still in its infancy in 2020 and definitely has a long way to go. But serverless architecture is a major step away from to dependence on humans and towards reliance on machines. Are the machines already talking over? Not literally the “Terminator” movie scenario quite yet but is this the beginning of the end of an era in the world as we know it? Let’s roll back a little and start at the beginning.
Serverless architecture or better yet, serverless computing as it’s also known, refers to applications that are dependent on third-party services and custom code that’s running in ephemeral containers.
Considering its name, serverless architecture doesn’t mean that it runs its code without servers. The name it has, “serverless computing”, is used only because the person or a company owning the system does not have to purchase or rent servers/virtual machines for the back-end code to be able to run. Simply put, serverless architecture is a way of building and running applications and services with no need, whatsoever, for infrastructure management.
Your application will still be running on servers, but bear in mind that AWS Lambda or other hosts do all of the server management. We conclude that the user no longer needs to scale, provision, and maintain servers to run his application, database or storage system.
Using serverless architecture will significantly help developers focus more on their core product. If not for serverless, developers would still be worrying about managing and operating servers or runtimes, whether managing them on the cloud or on-site. This way, the developer’s focus will solely be on individual functions in their application code. Services like AWS Lambda, Google Cloud Functions, Firebase and Microsoft Azure Functions will take care of the physical hardware, virtual machine operating system as well as the web server, while you would only need to worry about one thing – your code.
In case you have a small number of functions that you need to be hosted, you should consider switching to a serverless provider. Considering that your application is more complex, serverless architecture can still be a good choice since it comes with lots of benefits, but you’d need to architect your application quite differently. Some clear benefits are easier concurrency management at scale and optimizing resource usage. If you already have an existing application, this might not be the best solution. Consider migrating smaller pieces of the application into serverless functions over time.
Since everything else in life has downsides and drawbacks, it would be unwise to believe that serverless architecture is flawless. Let’s talk about what we can expect regarding the disadvantages.
Problems that occur are vendor control and vendor lock-in, but also security concerns as well as multitenancy problems. Considering that you give up system control while implementing APIs, it can cause system downtime, forced API upgrades, functionality loss, as well as unexpected limits and cost changes.
Serious drawbacks though are the essential tools to work with we seem to be missing. Developers depend on vendors for debugging and monitoring tools. Luckily, Dashbird is offering an observability solution to ease the pain.
While fighting a fight without operational tools, there is another problem causing the flawed usage of serverless architecture, and it’s the architectural complexity. To decide how small a function should be, it takes quite some time to assess, implement and perform a test. The easiest way to perform such a test is with this Step Functions state machine by AWS Sr. Technical Evangelist Alex Casalboni.
Keeping it simple, serverless architecture is an outsourcing solution allowing you to pay someone else to manage your servers, databases, and even application logic that you might manage yourself otherwise. You would pay less for your managed database because a vendor that hosts you is running thousands of very similar databases.
Reduced packaging and deployment complexity is yet another example of how packaging and deploying FaaS functions is simple if you compare it with the deployment of an entire server.
“Green” computing is considered as a great hit among developers and rest of the population. Since over the last couple of decades the number of servers increased drastically, so did the need to serve those servers with sufficient power supply. Therefore, large sized data centres in the world came to the existence. Extremely large companies such as Google, Apple, Facebook etc. are fighting their way through saving the environment from the pollution they cause by implementing and moving their servers on the clouds and moving their data centres near renewable energy sources, so that way they fight against the fossil-fuel burning impact on sites like those. Those “clouds” never produce rain, so your Facebook account is quite safe, do not worry. Making these differences should further lead to the far more efficient use of resources across the data centres. By making those differences, people are reducing the environmental impact which can be compared to a traditional capacity management approach.
Serverless architecture is something you implement if you are in need of it. If not, learn more about it, and you might discover that you need it, but you weren’t aware of that fact, yet. If you’d like to learn more about a real life example of Shamrock Trading Corp successfully migrating from a traditional cluster to serverless architecture, and find out more about their winning strategy in doing so, dowload this free case study.
In this article, we’re covering 4 tips for AWS Lambda optimization for production. Covering error handling, memory provisioning, monitoring, performance, and more.
In this article we’ll go through the ins and outs of AWS Lambda pricing model, how it works, what additional charges you might be looking at and what’s in the fine print.
Dashbird was born out of our own need for an enhanced serverless debugging and monitoring tool, and we take pride in being developers.
Dashbird gives us a simple and easy to use tool to have peace of mind and know that all of our Serverless functions are running correctly. We are instantly aware now if there’s a problem. We love the fact that we have enough information in the Slack notification itself to take appropriate action immediately and know exactly where the issue occurred.
Thanks to Dashbird the time to discover the occurrence of an issue reduced from 2-4 hours to a matter of seconds or minutes. It also means that hundreds of dollars are saved every month.
Great onboarding: it takes just a couple of minutes to connect an AWS account to an organization in Dashbird. The UI is clean and gives a good overview of what is happening with the Lambdas and API Gateways in the account.
I mean, it is just extremely time-saving. It’s so efficient! I don’t think it’s an exaggeration or dramatic to say that Dashbird has been a lifesaver for us.
Dashbird provides an easier interface to monitor and debug problems with our Lambdas. Relevant logs are simple to find and view. Dashbird’s support has been good, and they take product suggestions with grace.
Great UI. Easy to navigate through CloudWatch logs. Simple setup.
Dashbird helped us refine the size of our Lambdas, resulting in significantly reduced costs. We have Dashbird alert us in seconds via email when any of our functions behaves abnormally. Their app immediately makes the cause and severity of errors obvious.
End-to-end observability and real-time error tracking for AWS applications.