Everything you need to Know about Serverless Microservices in AWS

Everything you need to Know about Serverless Microservices in AWS
It’s a well-known fact that handling multiple servers can be a painful experience, especially in the short run. Multiple servers mean multiple developers will need to work on the same code, making the code repository difficult to handle in the long run. One of the biggest disadvantages in the long run is the resiliency, which causes the whole back end to get bogged down, making the website crash and slow down eventually.

What are AWS Microservices?
The microservices architecture has been designed to solve all forms of front end and back end issues. The back end is wired to communicate with various small services through a network of HTTP or other messaging systems. Since the setup is rather elaborate, the whole procedure is time consuming and can take considerable time to setup. Post the setup formalities, a developer can benefit immensely by optimizing work through work parallelization and improved resiliency. Each developer can access and develop their own microservice, without worrying about code conflicts.

What does going Serverless mean?
The concept of going serverless is relatively new and has seen the day of light just recently. In an ideal situation, the traditional back end was deployed on a group of servers. Such an approach had its own set of advantages. It allowed the developers to control their own servers along with the infrastructure behind it. However, like everything else, it contributed a lot towards the cost, making it an inefficient solution for companies. Add a set of engineers to build, maintain and run the infrastructure, and your budget will increase manifold.

With the introduction of the serverless technology, all these problems can be solved considerably. You can make use of a service which will run your code, as well as take care of all your maintenance issues. What you do end up paying for is the time it usually takes to process each request thrown at the code. For this purpose, AWS offers the AWS Lambda service, which is somewhat similar to the functionality of Microsoft’s Azure Function and Google’s Cloud Functions.

What Services aid the Serverless Microservices?
Amazon API Gateway: API is a gateway service that offers the option to use a configurable REST API in the form of a service. You get to author your needs and create it in the form of a code. Say, for example, you decided what would happen if a particular HTTP Method is implemented and called on a certain HTTP Resource. In this case, say you want to execute and implement a Lambda function if the HTTP request comes through. API Gateway helps in mapping input and output data through a series of formats. Thankfully API Gateway is a fully fledged service, which is managed extensively, allowing you to pay for only what you use.

AWS Lambda Services: Being a pay as you go service, AWS Lambda is a well-managed service hub. It allows you to get rid of over provisioning costs, as well as avoid the need of any boot time, patching, as well as load balancing.

Amazon DynamoDB: Amazon DynamoDB is a document store wherein you can look up values through their key values multiple Availability Zones or data centers to bring about a subtle consistency. Like Lambda, it too is a 99% managed service, while the remaining 1% is free to perform reading and writing of code.

The Request Flow and how it Works with Microservices
In an ideal situation, it’s imperative to understand how the data flows through serverless microservices. The user’s HTTP hits the API Gateway; the API Gateway checks the HTTP request and figures if the request is valid or not. Through this approach, it makes multiple requests within the database and executes the business logic.

Another system which aids the processing of information within the serverless environment is the AWS CloudWatch. The AWS CloudWatch stores metrics in the form of numbers and text information in the form of logs. It also allows you to define your alarms over your metrics. At any given point of time, if your system begins to default, you can get an instant notification of the default using AWS SNS, making the process seamless and streamlined.

Summary
AWS Microservices are well balanced and fully managed, thereby allowing you to concentrate on performing multiple forms of other operational tasks. Through the concentration on other important tasks, the functionality of the code can be improved manifold, as it is performed through a series of automated tasks.

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Microservices Architecture Advantages and Challenges
microservices building an-effective business model with aws architecture

Microservices: Building an Effective Business Model with AWS Architecture

Microservices: Building an Effective Business Model with AWS Architecture

One buzz-word that has been spreading across the IT industry for the last few years is ‘Microservices’. However, these are not completely new approach to the IT infrastructure, but a combination of best proven methods of concepts such as nimble software development, service related architecture and API-first design (building the API first and developing the web application on top of that).

Microservices can be simply defined as ‘a self-contained process fulfilling a unique business capability’.

Following are some characteristics of a microservice architecture:

– Redistributed data management: Microservices don’t rely on a single schema in their central database. They have different views for various data models and are unique in the ways they are developed, deployed and managed.

– Functional independence: Modules in the microservice architecture can act independently without affecting the functionality of other components. They can be changed or upgraded without affecting other microservice modules.

– Simplicity: Each component is built on a set of capabilities fulfilling a specific function. Depending on the level of complexity, it can be split up into two or more independent components.

– Flexible and heterogeneous approach: Microservice gives the teams a freedom to choose the best tools and methods for their specific problems, be it programming languages, operating systems or data stores.

– Black box design: Microservice components potentially hide the details of their complexity from other components. The internal communication between the components happen with very well defined APIs to prevent implicit data dependencies.

– DevOps: This means, when you build it, you operate it. This helps the developers to be in close contact with their consumers, precisely understanding their needs and expectations.

Benefits and challenges of Microservices:

When addressing the agility and scalability issues of traditional monolithic architecture deployments, microservices benefit consumers in various ways such as:

Microservices create a sophisticated working environment where small and independent teams take the ownership of a particular service. Hence, empowering them to work quickly and independently shortening the cycle times.

Having a Devops culture by merging the development and operational skills removes the hassles and contradictions, providing an agile deploying environment. Making it easy to test and implement new ideas faster, henceforth creating a low cost of failure.

Dividing a software into small and well defined modules can be maintained, reused and composed easily, giving out a great output in-terms of quality and reliability.

Each service can be developed and implemented with their best-suitable programming languages and frameworks, and can be finely tuned in-line with aptly performing service configurations.

Failure isolation is made easier with microservices as techniques such as health-checking, caching or circuit breakers allow you to reduce the blast radius of a failing component.

Despite all these advantages we have discussed above, there are some disadvantages of these microservice approaches as diverse systems invite more complexity.

Determining the right boundaries for a microservice architecture is crucial when you migrate from a traditional monolithic architecture.

Versioning for a microservice architecture can be challenging.

Developing an effective team structure, transforming the organization to follow a devops approach and streamlining an effective communication between them can be challenging.

The more the number of microservice modules, the more is its complexity in interactions.

In a microservice approach, we no longer run a single service, but a combination from dozens to even hundreds of services. This increases operational complexity to a greater level.

AWS, one of the most-preferred cloud service platforms has number of offerings those address the challenges of a microservice architecture.

Effective Scaling and Provisioning of resources:

AWS microservice architecture employ on-demand resources that are readily available and provisioned when needed. Multiple environments can co-exist correspondingly, so that you need not employ difficult forecasting methods to guess the storage capacity of the microservices.

You only pay for what you use:

You can potentially experiment the new features or services, and roll them out if they aren’t successful for your business goals in AWS microservice architecture. This helps you find the innovation best suiting your business goals and also fulfills a microservice’s goal of achieving high agility.

Versatile programmability:

AWS microservices come with a specific API, Command Line Interface (CLI) and SDKs for different programming languages. Even complete architectures can be cloned, scaled and monitored through custom codes and programming languages. And, in-case of any failure, they are capable in healing themselves automatically.

AWS microservices provide you with a flexible environment to programmatically build custom tools and deploy the suitable resources, thereby reducing the operational costs and efforts.

Infrastructure as a Code:

AWS microservice architecture lets you to describe the whole infrastructure as a code and allows you to manage it in a version-control environment. You can redeploy any specific version of an infrastructure at any time, and compare the quality and performance to any application version to ensure they are in sync.

Reduce operational complexity with Continuous deployment and delivery:

Managing multiple application cycles in parallel can lead to operational complexity. AWS microservices offer automation of the provisioning and deployment process, enabling the adoption of continuous integration. This ‘continuous integration’ of the development part of the life-cycle can be further extended to the operations part of the life-cycle.

Managed services with AWS microservice architecture:

One of the key benefits of cloud infrastructures is it relieves you of the hassles of provisioning virtual servers, installing and configuring the softwares, and dealing with scaling and reliable backups. Monitoring, scaling and security are already built into the AWS microservices, helping you to further reduce the operational complexity of running microservice based architectures.

Service-oriented and Polyglot approach:

Each AWS microservice focuses on solving a specific and well-defined problem by communicating with other services using clearly defined APIs. This approach breaks down the complex infrastructure into simpler bricks or modules, preventing the need of duplication of the processes.

With microservices definitely helping to break down the complex business process into simpler modules, AWS cloud microservices further reduces the operational and interactional complexity of the microservices, helping you to define and use the most ‘appropriate’ solution for your specific business problem.

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AWS re:INVENT 2017


Date : November 27–December 1, 2017
Location : ARIA, Encore, MGM, Mirage, The LINQ, The Venetian
Las Vegas, NV

Event Details

AWS re:Invent is a learning conference hosted by Amazon Web Services for the global cloud computing community. The event features keynote announcements, training and certification opportunities. At the conference, you’ll have access to more than 1,000 technical sessions, a partner expo, after-hours events, and so much more.

Why Attend

The event is ideal for developers and engineers, system administrators, systems architects, and technical decision makers.

[Know more about the Conference]

About Idexcel: Idexcel is a global business that supports Commercial & Public Sector organizations as they Modernize their Information Technology using DevOps methodology and Cloud infrastructure. Idexcel provides Professional Services for the AWS Cloud that includes Program Management, Cloud Strategy, Training, Applications Development, Managed Service, Integration, Migration, DevOps, AWS Optimization and Analytics. As we help our customers modernize their IT, our clients should expect a positive return on their investment in Idexcel, increased IT agility, reduced risk on development projects and improved organizational efficiency.

Allolankandy Anand Sr. Director Technical Sales & Delivery will be attending this event. For further queries, please write to anand@idexcel.com

Why serverless? Meet AWS Lambda

Why would a developer use AWS Lambda? In a word, simplicity. AWS Lambda—and other event-driven, “function-as-a-service” platforms such as Microsoft Azure Functions, Google Cloud Functions, and IBM OpenWhisk—simplify development by abstracting away everything in the stack below the code. Developers write functions that respond to certain events (a form submission, a webhook, a row added to a database, etc.), upload their code, and pay only when that code executes.

In “How serverless changes application development” I covered the nuts and bolts of how a function-as-a-service (FaaS) runtime works and how that enables a serverless software architecture. Here we’ll take a more hands-on approach by walking through the creation of a simple function in AWS Lambda and then discuss some common design patterns that make this technology so powerful. Read more..

AWS Public Sector Summit 2017 | Washington, DC

Date : June 12-14, 2017
Location : Washington, DC
Venue : Walter E. Washington Convention Center

AWS Public Sector Summit for government, education and nonprofits

Why should you attend?

AWS is bringing government, education, and nonprofit technology leaders from around the world to Washington, D.C this June 12-14, 2017 for their eighth annual AWS Public Sector Summit.

What to expect in 2017
• 2 full days
• 1 Pre-Day (June 12) with bootcamps and deep-dive workshops
• 100+ breakout sessions on topics such as DevOps, big data, Internet of Things, security and
compliance, adoption models, scientific computing, open data, and more
• 2 keynotes with a lineup of global speakers
• 2 parties and many more networking opportunities with partners and peers
• Cloud Lounge
• Direct access to AWS technologists

[Know more about the Conference]

About Idexcel: Idexcel is a global business that supports Commercial & Public Sector organizations as they Modernize their Information Technology using DevOps methodology and Cloud infrastructure. Idexcel provides Professional Services for the AWS Cloud that includes Program Management, Cloud Strategy, Training, Applications Development, Managed Service, Integration, Migration, DevOps, AWS Optimization and Analytics. As we help our customers modernize their IT, our clients should expect a positive return on their investment in Idexcel, increased IT agility, reduced risk on development projects and improved organizational efficiency.

Jed Tonelson Director Cloud & DevOps Sales will be attending this event. For further queries, please write to jed.tonelson@idexcel.com

AWS Still Owns the Cloud

When Amazon announced its earnings for its Amazon Web Services cloud division on Thursday, the results were hardly surprising. While AWS might not have the eye-popping growth percentages of its rivals, it still grew at a decent 47 percent, with earnings of $3.53 billion on an astonishing $14.2 billion run rate.

You may point to the rivals and say, well, they had better quarters from a growth standpoint, but it’s important to remember it’s easier to grow from a small number to a bigger small number than it is to grow from a big number. In that sense, AWS could be seen simply as a victim of its own success. Read more…

Top 6 Disruptive Trends: Shaping the Future of Public Cloud

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Talking of public cloud, provisioning storage, launching VMs and configuring networks are no more cutting edges. New IaaS capabilities enable enterprises to operate their workloads in the cloud. Innovative Cloud services are helping organisations drive transformation through agility, cost effectiveness and reduced IT complexities. With IaaS evolving at a rapid rate, the public cloud is seemingly gearing up to the next level.

Cloud providers have already started investing in emerging cloud technologies that will deliver managed services to the customers. Here are six disruptive trends that are shaping the future of the public cloud.

Serverless Computing:

Serverless Computing or more precisely, FaaS(Functions as a Service) focus on code instead of infrastructure – delivering what PaaS promises. It enables developers to write modular functions that perform one task at a time. By writing and executing multiple such functions, a meaning and complex application is built. The best part is, it allows developers select framework, language and runtime of their choice instead of using a particular platform. This implies, each developer has liberty to choose his preferred language and deliver a module.

Serverless Computing or FaaS is rapidly becoming the most preferred way of running code in the cloud.

Blockchain as a Service:

Bitcoin is considered dead long ago, but the technology behind it is alive and kicking to make public cloud all the more powerful. Blockchain is a cryptographic data structure used to create a digital ledger of the transaction happening across distributed networks of computers. It eliminates the need for central authority as cryptography is the only medium to manipulate ledger. However, in this environment, transactions are immutable meaning operations once made cannot be modified. Transactions are verified by the parties involved in the transaction.

Blockchains have many use cases in the domains spanning across manufacturing, finance, healthcare, supply chain and real estate.

Cognitive Computing:

Cognitive Computing adds human senses to the computers. It simulates human thoughts by applying latest technologies like natural language processing, machine learning, neural networks, deep learning and of course, artificial intelligence.

Multiple factors fuelling the trend of Cognitive Computing are affordable hardware, abundant storage, seamless connectivity and compute capacity.

Heavy lifting needed to process the inputs for cognitive computing is handled by deep-pocketed cloud providers. Only the simplest of APIs are exposed for the developers to comprehend and build compelling interfaces for applications.

Data Science as a Service:

Managed NoSQL and relational database started data revolution in the cloud but Hadoop and Big Data empowered the public cloud.

Public Cloud Data Platform takes care of everything spanning from data ingestion to processing, analysis and visualisation. Machine Learning for data enables organisations to tap the power of data analysis and execute predictive analytics.

As organisations are shifting data to the public cloud, they will be catered with an end-to-end approach by the cloud providers for more actionable insights to customers.

Verticalized IoT PaaS:

Internet of Things – the next big thing that is taking distributed computing network by storm already is deployed by organisations for device management capabilities, predictive analytics, data processing pipelines and business intelligence.

Mainstream cloud providers are reaping the benefits of IoT to drive device management, data processing capabilities and cloud-based M2M connectivity.

It is expected that going forward; the cloud providers will use IoT platforms to target automobiles, retail, manufacturing, healthcare and consumer markets. It is soon going to become the prime enabler for Data Science as a Service.

Containers as a Service:

Containers have already buzzing in the cloud market. Though it is as young as two years old, enterprises are readily using containers alongside VMs.

New categories like orchestration, logging, security, monitoring and container management are evolving rapidly. However, when microservices and container workloads become mainstream, they will increasingly dominate the public cloud deployment space. It is poised to be the fastest growing delivery model in the arena of the public cloud.

In conclusion, it is inferred that future of cloud is dictated by the data driven applications powered by Blockchains and IoT. Containers, Serverless Services and the Microservices will be used to deal with the abundance of data hitting the cloud!

Amazon Web Services

Amazon Web Services or AWS is a cloud computing platform offering by Amazon providing a wide array of cloud services to the customers. Amazon AWS offers several cloud options including Amazon Simple Storage Services (Amazon S3), Amazon Elastic Compute Cloud (Amazon EC2), Amazon SimpleDB, Amazon Virtual Private Cloud (Amazon VPC) and Amazon WorkSpaces. This group of remote computing services that make up the cloud-computing platform over the internet are known as Amazon Web Services. Most of these services are not directly exposed to the end users. Amazon S3 and Amazon EC2 are two of the most central and well-known offerings.

To enable the use of online services via REST, HTTP or SOAP protocols, Amazon first introduced Amazon Web Services in 2006. AWS launched two Amazon CloudFront edge location in India on 28th July 2013 joining 42 edge locations worldwide. This makes the services global, fast, flexible and cost-effective. Amazon Web Services is now a $6 Billion-a-year cloud-computing monster, and is considered Amazon’s most valuable asset. AWS generated the sales of $1.57bn in the first quarter of 2015, and firm’s total revenue for the quarter rose by 15% to $22.7 bn, which was much stronger increase than expected. AWS provides cloud computing services to several household names including Spotify, Dropbox, Uber, Netflix, CIA and Samsung.

AWS services include:

Cloud– Virtual Servers, Containers, Event-driven Computer Functions, Auto scaling and Load Balancing

Storage and Content Delivery– Object Storage, Block Storage, Archive Storage, File System Storage, and CDN

Databases- Relational, Caching and NoSQL

Networking– Virtual Private Cloud, DNS and Direct Connections

Administration and Security– Identity Management, Access Control, Key Storage and Management, Usage and Resource Auditing, Monitoring and Logs, and Service Catalogue.

Enterprise IT Applications from AWS include Desktop Virtualization, Email and Calendering, and Document Sharing and Feedback. Engineered for the most demanding requirements, AWS offers following advantages:

Secure– AWS cloud security infrastructure is one of the most secure and flexible cloud computing environments providing highly reliable and extremely scalable platform so that the data and applications can be deployed securely and quickly. Data and applications are not only protected by highly secure infrastructure and facilities, they are also protected by extensive security and networking monitoring systems that provide critical security measures such as password brute-force detection and distributed denial of service (DDoS) protection on AWS accounts. Additional security measures include built-in firewalls, secure access, private subnets, multi-factor authentication, unique users, dedicated connection options, encrypted data storage, centralized key management, security logs, perfect forward secrecy and so on.

Compliant– AWS’s Cloud Compliance ensures robust control to maintain data protection and security in the cloud. Compliance responsibilities get shared as the systems are built on top of AWS cloud infrastructure.

Private, isolated Resources– Enterprises adopting cloud computing require secure data and applications, increased agility, and reduced costs. However, some organisations also need to take into consideration the unique requirements for regulatory compliance and resource isolation. AWS offers private network, private compute, private storage, enterprise governance, and private encryption resources for completely private cloud experience.

Hybrid– AWS offers solutions and tools to integrate existing resources of the organisation with the AWS cloud to extend and enhance the capabilities and accelerate the adoption of cloud computing. Offering a wide range of options to develop architecture, hybrid architecture involves integration of storage, networking, management and access control. The capabilities include integrated networking, integrated Cloud back-ups, integrated access control, and Integrated resource management and workload migration.

Amazon Web Services have changed the game in several ways. You pay only for what you use, scale up or down easily within few minutes based on the demand. Servers can be added to different parts of the world to provider faster services to the customers. Additionally, Amazon periodically keeps adding features and services to their existing offerings, making it a preferred choice for organisations in different domains. Recent AWS add-on includes Amazon Machine Learning. However, with IBM, Google and Microsoft emerging to grab some of the market share, it needs to be seen how Amazon is able to hold its margins high over the long term.