There has been a constant comparison between Lambda and Fargate, two serverless computing engines from AWS, despite their fundamental differences. In this presentation, a comparison is explained between AWS Fargate and Lambda based on a number of variables with examples and use cases to assist you in selecting the best technology for your serverless application.
The three main qualities that any firm seeks in their applications are flexibility, scalability, and ease of customization. A SaaS architecture is the only option that can satisfy these needs. Learn about its architecture types, models, and advantages for a successful market expansion.
Virtualization is key to improved scalability for many organizations. Virtual machines and containers are the two most popular visualization approaches. However, deciding between VMs and containers has been a riddle to many. Here is a cyclopedic one-on-one of VMs vs containers for you.
Every development project has several challenges of deployment, scalability, and delivery. Containerization has many advantages like isolation of processes, portability, and more. Therefore, identifying the benefits of containerization and how it resolves development challenges becomes crucial. So, here are the top containerization benefits to help you overcome development challenges.
FaaS deployment is simplified by serverless frameworks, enabling rapid deployment of serverless architectures. But a variety of frameworks are now available, each with its own special advantages and disadvantages. Here is a list of various well-known serverless frameworks with information on their capabilities and use cases to assist you in making the appropriate choice.
Microservices architecture can make functionality more flexible, testable, and scalable. The execution of the architecture has several difficulties, though, which a microservice design pattern can aid in overcoming. This presentation covers several design patterns in depth to assist you in choosing the best one.
Implementing microservices requires careful planning that takes into account the organizational structure and current systems. Fortunately, there are plenty of microservice implementation examples that can assist you with your projects. Here are twelve microservices examples that will help you deploy microservices.
Many loosely linked, containerized factors create modern applications nowadays. Discover how automating and simplifying the provision of virtual environments allows container orchestration to arrange the activities of different components and application layers.
SaaS solutions have fueled the ever-expanding startup ecosystem. If you want to take advantage of that potential, you must create a one-of-a-kind SaaS app. This presentation provides an in-depth approach to SaaS development that will benefit aspiring founders and co-founders.
The three main qualities that any firm seeks in their applications are flexibility, scalability, and ease of customization. A SaaS architecture is the only option that can satisfy these needs. Learn about its architecture types, models, and advantages for a successful market expansion.
Virtualization is key to improved scalability for many organizations. Virtual machines and containers are the two most popular visualization approaches. However, deciding between VMs and containers has been a riddle to many. Here is a cyclopedic one-on-one of VMs vs containers for you.
Every development project has several challenges of deployment, scalability, and delivery. Containerization has many advantages like isolation of processes, portability, and more. Therefore, identifying the benefits of containerization and how it resolves development challenges becomes crucial. So, here are the top containerization benefits to help you overcome development challenges.
FaaS deployment is simplified by serverless frameworks, enabling rapid deployment of serverless architectures. But a variety of frameworks are now available, each with its own special advantages and disadvantages. Here is a list of various well-known serverless frameworks with information on their capabilities and use cases to assist you in making the appropriate choice.
Microservices architecture can make functionality more flexible, testable, and scalable. The execution of the architecture has several difficulties, though, which a microservice design pattern can aid in overcoming. This presentation covers several design patterns in depth to assist you in choosing the best one.
Implementing microservices requires careful planning that takes into account the organizational structure and current systems. Fortunately, there are plenty of microservice implementation examples that can assist you with your projects. Here are twelve microservices examples that will help you deploy microservices.
Many loosely linked, containerized factors create modern applications nowadays. Discover how automating and simplifying the provision of virtual environments allows container orchestration to arrange the activities of different components and application layers.
SaaS solutions have fueled the ever-expanding startup ecosystem. If you want to take advantage of that potential, you must create a one-of-a-kind SaaS app. This presentation provides an in-depth approach to SaaS development that will benefit aspiring founders and co-founders.
Businesses are vying for containerization technologies in order to increase productivity, agility, and scalability while maintaining operational consistency. Read about the top techniques for helping companies reach all of these advantages.
This presentation will help you understand the entire cost estimation process and discuss the best ways to hire a professional web app development business based on your needs without spending a fortune.
Whether a startup or a large corporation, employing containerization technology can provide significant advantages in terms of agility, portability, flexibility, and speed. Here are some examples from the real world of how containers are used in various business use cases.
Every company strives to improve its database management systems. To accomplish so, it is critical to incorporate database code updates into the DevOps cycle. This PPT explains the Database DevOps implementation process, commercial benefits, and how to solve problems.
DevOps use has grown dramatically across large, mid-sized, and small-scale enterprises. To make this a reality, you'll need the support of the correct DevOps tools. This presentation provides an in-depth look at the top 30+ DevOps tools used for each phase of the DevOps lifecycle.
Agile and DevOps are two software development industry heroes who have altered the way software applications are released. Explore its history, how they are related, and its distinguishing features.
Learn how to reap the benefits of automation in DevOps environments by adopting the best practices of multinational enterprises. Learn which processes are worthwhile to automate and how to do it successfully, as well as which technologies might help you improve your approach.
How to Build Real-time Application with Node.js.pdfSimform
Node.js is a perfect fit for real-time applications. Its asynchronous and event-driven architecture gives it the ability to handle thousands of requests per second without complications. Today, Node.js is widely used by top companies such as Uber and Netflix.
Microservice Best Practices The 8020 Way.pdfSimform
Microservices have fundamentally changed the way server-side engines are architected.
Rather than a single giant #monolithic codebase hosting all the business logic of your application, microservices reflect the distributed systems model, where a group of application components works together to deliver the business needs.
By following ten basic microservices best practices, you can achieve an efficient microservices ecosystem devoid of unnecessary architectural complexities.
Many of the advantages of using Docker containers include fast development, testing, and server deployments of your application. This PPT explains some of the Docker use cases that will help you to improve software development, application portability & deployment, and agility for your business
Microservices design principles establish some standard practices for planning, developing, and implementing a distributed architecture for your application. Read about some of the most common characteristics of design principles, its examples, and implementations carried out by various companies worldwide.
7 Biggest Web Development Challenges You Can’t Ignore in 2022_2.pdfSimform
Web development is expediting at an aggressive rate. Better and user-friendly interfaces are in demand. When it comes to developing a successful web application there are a number of factors defining that success. We have been listening to our clients and have understood some of the problems being faced in developing Web Applications in this PPT.
A Guide on What Are Microservices: Pros, Cons, Use Cases, and MoreSimform
IT organizations can be benefitted from a microservices approach to application development with more agile and accelerated time to market. However, there is a catch in order to break an app into fine-grained services.
Types of Software Testing: Definition, Objectives and AdvantagesSimform
Software testing is a crucial part of the development process. This presentation gives you a glimpse of different types of testing, their objectives, and their advantages.
Capital One DevOps Case Study: A Bank with the Heart of Tech CompanySimform
Many organizations want to adopt DevOps to work their way through digital transformation. This case study of Capital One's journey of adopting DevOps and what distinctive tools and methods they introduced to stay ahead of the competition.
Implementing enterprise DevOps for a large-scale organization is a challenge faced by many companies. Understand all the basics, challenges, strategies, tips, principles, best practices, and so much more you need to know for leveraging DevOps Successfully.
During our journey towards Serverless Architecture, we’ve found how security in serverless applications is different from the traditional cloud.
Serverless can be a dangerous place unless you prepare yourself with the best practices. There are bullies out there who desperately wants to break into your system.
DDoS attackers, ransomware distributors and all kinds of cyber creeps preying on our databases and poorly configured serverless functions.
Here is the Serverless Security Checklist to ensure serverless security.
To build an app like Airbnb, you need some or all of the below-given tech stack-
1) Programming Language: Javascript, Kotlin or Swift
2) Front End Frameworks: Angular, React.js, Express.js
3) Backend technologies or Frameworks: Ruby on Rails, Django, Node.js, Meteor.js
4) Server Side technologies: AWS, Azure, OpenStack, DigitalOcean, Google Cloud
5) Network-level caching services: Nginx, Redis
6) Databases: MySQL, MSSQL, MongoDB, Azure DocumentDB, Cassandra, PostgreSQL
Everything You Need to Know About Unit Testing in Test Driven Development (TDD) with Case Studies!
TDD can be defined as a programming practice that instructs developers to write new code only if an automated test has failed. This avoids duplication of code.
The primary goal of TDD is to make the code clearer, simple and bug-free.
This PDF contains the case studies of Test Driven Development. Special thanks to the Experts- Jeff Langr, Frederico Gonçalves and J. B. Rainsberger for their valuable comments!
These case studies are the part of our blog on "How to do Unit Testing in Test Driven Development(TDD)?" which covers the following topics-
1) What is Unit Testing?
2) What is Test-Driven Development (TDD)?
3) Example of TDD with Unit Tests
4) Best Practices for Writing Unit Tests
5) Benefits of Unit Testing
6) Limitations of Unit Testing in the Traditional Approach
7) Case Studies of TDD
Blog Link-
https://www.simform.com/unit-testing-tdd/#casestudies
First, the application became a sensation among everyone on the internet and with that came the #privacy concerns. App has been in news for a while now.
Here's the infographic on Everything You Need to Know About FaceApp!
What is that FaceApp?
* FaceApp is is a photo-morphing app that uses artificial intelligence and neural editing technology to manipulate your face through a number of clever filters.
* It has features like impression & color filters, lens blur and changing age, hairstyle, gender with the use of AI etc.
* It was first launched in January 2017, by a small team out of Saint-Petersburg, Russia named Wireless Lab.
How does it work?
* It can use photos from your library or alternative sources, users can also snap a photo within the app
* Photos are uploaded to cloud run by Amazon and Google for server-side processing
* App is powered by Machine learning and in terms of the specific technology it’s using to alter selfies in a photorealistic way, FaceApp makes use of “deep generative convolutional neural networks”
Why is it Viral?
Two main reasons we see are-
* Due to its a feature to see future and younger versions of a person's face which is highly realistic and gives accurate results
* Celebrities like Drake, Cardi B, Avengers cast, Stranger Things cast, and many more shared AI-aged selfies on social media
Privacy Panic!
* As quickly as the app has gone viral, so have the privacy worries. So much so that US Senator Chuck Schumer has called for the FBI to investigate the app
* Terms and conditions of FaceApp meant that app has access to all of the photos on your phone, so if developers chose to do so, they could conceivably tell the app to upload all or your photos to their servers or pass them on to other organisations
* Fact that it is Russian based, amplified the scepticism
* Close research suggests FaceApp isn’t doing anything particularly unusual in either its code or its network traffic
Businesses are vying for containerization technologies in order to increase productivity, agility, and scalability while maintaining operational consistency. Read about the top techniques for helping companies reach all of these advantages.
This presentation will help you understand the entire cost estimation process and discuss the best ways to hire a professional web app development business based on your needs without spending a fortune.
Whether a startup or a large corporation, employing containerization technology can provide significant advantages in terms of agility, portability, flexibility, and speed. Here are some examples from the real world of how containers are used in various business use cases.
Every company strives to improve its database management systems. To accomplish so, it is critical to incorporate database code updates into the DevOps cycle. This PPT explains the Database DevOps implementation process, commercial benefits, and how to solve problems.
DevOps use has grown dramatically across large, mid-sized, and small-scale enterprises. To make this a reality, you'll need the support of the correct DevOps tools. This presentation provides an in-depth look at the top 30+ DevOps tools used for each phase of the DevOps lifecycle.
Agile and DevOps are two software development industry heroes who have altered the way software applications are released. Explore its history, how they are related, and its distinguishing features.
Learn how to reap the benefits of automation in DevOps environments by adopting the best practices of multinational enterprises. Learn which processes are worthwhile to automate and how to do it successfully, as well as which technologies might help you improve your approach.
How to Build Real-time Application with Node.js.pdfSimform
Node.js is a perfect fit for real-time applications. Its asynchronous and event-driven architecture gives it the ability to handle thousands of requests per second without complications. Today, Node.js is widely used by top companies such as Uber and Netflix.
Microservice Best Practices The 8020 Way.pdfSimform
Microservices have fundamentally changed the way server-side engines are architected.
Rather than a single giant #monolithic codebase hosting all the business logic of your application, microservices reflect the distributed systems model, where a group of application components works together to deliver the business needs.
By following ten basic microservices best practices, you can achieve an efficient microservices ecosystem devoid of unnecessary architectural complexities.
Many of the advantages of using Docker containers include fast development, testing, and server deployments of your application. This PPT explains some of the Docker use cases that will help you to improve software development, application portability & deployment, and agility for your business
Microservices design principles establish some standard practices for planning, developing, and implementing a distributed architecture for your application. Read about some of the most common characteristics of design principles, its examples, and implementations carried out by various companies worldwide.
7 Biggest Web Development Challenges You Can’t Ignore in 2022_2.pdfSimform
Web development is expediting at an aggressive rate. Better and user-friendly interfaces are in demand. When it comes to developing a successful web application there are a number of factors defining that success. We have been listening to our clients and have understood some of the problems being faced in developing Web Applications in this PPT.
A Guide on What Are Microservices: Pros, Cons, Use Cases, and MoreSimform
IT organizations can be benefitted from a microservices approach to application development with more agile and accelerated time to market. However, there is a catch in order to break an app into fine-grained services.
Types of Software Testing: Definition, Objectives and AdvantagesSimform
Software testing is a crucial part of the development process. This presentation gives you a glimpse of different types of testing, their objectives, and their advantages.
Capital One DevOps Case Study: A Bank with the Heart of Tech CompanySimform
Many organizations want to adopt DevOps to work their way through digital transformation. This case study of Capital One's journey of adopting DevOps and what distinctive tools and methods they introduced to stay ahead of the competition.
Implementing enterprise DevOps for a large-scale organization is a challenge faced by many companies. Understand all the basics, challenges, strategies, tips, principles, best practices, and so much more you need to know for leveraging DevOps Successfully.
During our journey towards Serverless Architecture, we’ve found how security in serverless applications is different from the traditional cloud.
Serverless can be a dangerous place unless you prepare yourself with the best practices. There are bullies out there who desperately wants to break into your system.
DDoS attackers, ransomware distributors and all kinds of cyber creeps preying on our databases and poorly configured serverless functions.
Here is the Serverless Security Checklist to ensure serverless security.
To build an app like Airbnb, you need some or all of the below-given tech stack-
1) Programming Language: Javascript, Kotlin or Swift
2) Front End Frameworks: Angular, React.js, Express.js
3) Backend technologies or Frameworks: Ruby on Rails, Django, Node.js, Meteor.js
4) Server Side technologies: AWS, Azure, OpenStack, DigitalOcean, Google Cloud
5) Network-level caching services: Nginx, Redis
6) Databases: MySQL, MSSQL, MongoDB, Azure DocumentDB, Cassandra, PostgreSQL
Everything You Need to Know About Unit Testing in Test Driven Development (TDD) with Case Studies!
TDD can be defined as a programming practice that instructs developers to write new code only if an automated test has failed. This avoids duplication of code.
The primary goal of TDD is to make the code clearer, simple and bug-free.
This PDF contains the case studies of Test Driven Development. Special thanks to the Experts- Jeff Langr, Frederico Gonçalves and J. B. Rainsberger for their valuable comments!
These case studies are the part of our blog on "How to do Unit Testing in Test Driven Development(TDD)?" which covers the following topics-
1) What is Unit Testing?
2) What is Test-Driven Development (TDD)?
3) Example of TDD with Unit Tests
4) Best Practices for Writing Unit Tests
5) Benefits of Unit Testing
6) Limitations of Unit Testing in the Traditional Approach
7) Case Studies of TDD
Blog Link-
https://www.simform.com/unit-testing-tdd/#casestudies
First, the application became a sensation among everyone on the internet and with that came the #privacy concerns. App has been in news for a while now.
Here's the infographic on Everything You Need to Know About FaceApp!
What is that FaceApp?
* FaceApp is is a photo-morphing app that uses artificial intelligence and neural editing technology to manipulate your face through a number of clever filters.
* It has features like impression & color filters, lens blur and changing age, hairstyle, gender with the use of AI etc.
* It was first launched in January 2017, by a small team out of Saint-Petersburg, Russia named Wireless Lab.
How does it work?
* It can use photos from your library or alternative sources, users can also snap a photo within the app
* Photos are uploaded to cloud run by Amazon and Google for server-side processing
* App is powered by Machine learning and in terms of the specific technology it’s using to alter selfies in a photorealistic way, FaceApp makes use of “deep generative convolutional neural networks”
Why is it Viral?
Two main reasons we see are-
* Due to its a feature to see future and younger versions of a person's face which is highly realistic and gives accurate results
* Celebrities like Drake, Cardi B, Avengers cast, Stranger Things cast, and many more shared AI-aged selfies on social media
Privacy Panic!
* As quickly as the app has gone viral, so have the privacy worries. So much so that US Senator Chuck Schumer has called for the FBI to investigate the app
* Terms and conditions of FaceApp meant that app has access to all of the photos on your phone, so if developers chose to do so, they could conceivably tell the app to upload all or your photos to their servers or pass them on to other organisations
* Fact that it is Russian based, amplified the scepticism
* Close research suggests FaceApp isn’t doing anything particularly unusual in either its code or its network traffic
2. Agenda AWS Fargate: An overview
AWS Lambda: An overview
Fargate vs. Lambda: Development
Fargate vs. Lambda: Performance
Fargate vs. Lambda: Pricing
Fargate vs. Lambda: Operational compatibility
Fargate vs. Lambda: Scalability and maintenance
Fargate vs. Lambda: Security
Key characteristics and use cases of AWS Fargate
Key characteristics and use cases of AWS Lambda
3. AWS Fargate: An overview
Fargate is a serverless compute engine that allows you
to run containers without managing the infrastructure.
It complements ECS/EKS and makes launching
container-based applications much more effortless.
Therefore, you can focus on building your applications
while AWS does the heavy lifting of provisioning,
configuring, and scaling servers or clusters.
All you need to do is define the infrastructure
parameters, and Fargate will launch the containers for
you.
4. AWS Lambda: An overview
Lambda, an event-driven compute engine, is another
serverless technology from AWS.
It reduces the operational overhead of managing the
infrastructure with a pay-per-use model and no upfront
cost.
In addition, it enables you to run code in response to
events and automatically provisions for and manages the
compute resources required.
5. AWS Fargate vs. Lambda: Development
Developers can build locally using Docker and run the
container images directly in the cloud with Fargate.
It takes care of everything in-between.
Developing with Docker is quite popular as its features
can be used for easily managing multiple containers,
network configurations, resource requirements, etc., and
it has larger community support.
Recently, AWS and its community have developed
numerous tools to develop, create, and manage Lambda
functions seamlessly.
Earlier, developing with Lambda was a complex process
as it lacked a straightforward procedure to run Lambda
functions in the cloud, along with runtime restrictions.
Fargate: Lambda:
6. AWS Fargate vs. Lambda: Performance
Typically, the startup time for Fargate containers is 60-90
seconds which is more than Lambda.
However, Fargate has dedicated resources and no
runtime limitations, so the environment remains in a warm
state.
But it may take more startup time if there is a sudden
spike of requests, and it takes longer to scale up.
The initial Lambda startup takes 5 seconds, following
which the same functions have a negligible startup time.
But a Lambda function stops running after 15 minutes
until triggered by an event, causing cold starts.
However, there are multiple ways and techniques to
reduce and prevent Lambda cold starts that you can read
in our blog post on how to avoid Lambda cold starts.
Fargate: Lambda:
7. AWS Fargate vs. Lambda: Pricing
AWS Fargate pricing is calculated per second based on
the allocated memory, vCPUs, OSs, CPU infrastructure,
and storage resources used.
AWS Lambda pricing is calculated per millisecond based
on the number of requests, the memory and runtime used
by functions, and the network traffic.
Fargate: Lambda:
8. AWS Fargate vs. Lambda: Operational compatibility
It comes with additional complexity as you still have to
register your containers with ECS.
But it offers significantly more flexibility in that you have
full access to the configuration of each container.
It entirely abstracts the whole infrastructure layer, allowing
you to focus on your critical application functionalities.
But its operational flexibility is restricted as it limits
temporary disk space to 512MB and includes a 50MB
deployment package.
Fargate: Lambda:
9. AWS Fargate vs. Lambda: Scalability and maintenance
In the case of Fargate, you need to set up autoscaling.
Also, you need to shut down Fargate tasks on a manual
or scheduled basis as it cannot scale to 0, adding to
maintenance.
Moreover, in Fargate, the developers must keep the base
container images updated.
So it again adds to the maintenance but allows for more
control.
Lambda functions are scalable by design, so they
automatically launch instances to meet the increases in
demand.
Apart from rapid auto-scaling, it can also scale to 0. So,
you don’t have to pay for idle applications, which is useful
for low traffic workloads.
This ability of Lambda to scale from 0-1000 rapidly is
essential for spiky and unpredictable traffic.
Fargate: Lambda:
10. AWS Fargate vs. Lambda: Security
With Fargate, permissions are associated with containers
or pods the tasks are run in.
All Fargate tasks run in their individual, isolated compute
environments without sharing any underlying resources
(kernel, CPU/memory, Elastic Network Interface) with
other tasks.
With Lambda, you can set up IAM roles that each function
or service will assume.
AWS Identity and Access Management (IAM) modules
ensure that only the right users can access the function or
the application.
Moreover, functions have dedicated execution
environments that are never shared with other functions.
Fargate: Lambda:
11. Key characteristics
and use cases of
AWS Fargate
Deploys and scales applications easily, from single-use utility
applications to entirely containerized microservices
architectures.
Eliminates the operational overhead of choosing server types,
patching, sizing, cluster scheduling, optimizing cluster packing,
and more.
Allows you to pay only for what you use as Fargate’s fully
managed container environment automatically allocates the
required compute power-on-demand.
Integrates with a range of sibling AWS services for networking,
CI/CD, security, monitoring, etc.
Allows developers to have workload isolation.
Improves security with isolated compute environments.
12. When to use AWS
Fargate
Long-running compute jobs that are longer than 15 minutes
Applications that require more compute than Lambda offers, i.e.,
more than 3GB of memory
Applications with predictable scaling and where longer start
times are acceptable
Latency-sensitive and storage-intensive applications
Applications that need inter-container communication
Containerized machine learning applications
13. Key characteristics
and use cases of
AWS Lambda
Reduces costs because you only pay for the resources you use.
Scales automatically to handle a few requests per day or even
thousands of requests per second.
Reduces operational overhead such as administration,
maintenance, security patching, resizing, and adding servers for
any type of application or backend services.
Allows developers to spend more time on innovation with quicker
iterations.
Supports multiple programming languages.
Allows packaging and deploying of functions as container
images, expanding its use cases.
Easily integrates with other innovative AWS services.
14. When to use AWS
Lambda
Web applications and websites that require dynamic scaling to
handle excessive traffic loads at peak hours and save money
when there is no traffic.
For applications that can be easily expressed as single functions
with predictable usage of resources on each invocation.
Event-driven workloads and apps.
Custom mobile and IoT backends.
Asynchronous, small jobs to be managed in tandem.
File processing and automated file synchronization.
Real-time log analysis and data processing.
IT automation.