Aws

Discover how I went from a struggling college student to 11x AWS Certified, and learn how you too can achieve your dreams. Click here to read my journey

Browse re:Invent 2022 attendee guides, curated by AWS Heroes, AWS industry teams, and AWS Partners. Each guide contains recommended sessions, tips and tricks for building your agenda, and other useful resources. Stay tuned for more guides!

Vadodara's AWS Community has existed there for a while. Due to the pandemic, All activities had shifted to online mode,

Believe me when I say it, it is special to speak at an event in your hometown. Speaking at AWS Community Days, it cannot get bigger than this. It was a surreal feeling speaking at an event, in front of heroes and experts you admire. Thank you AWS User Group Vadodara for giving me this opportunity.

How I passed the AWS Certified Data Analytics —Specialty Exam (DAS-C01)

My Experience of Attending the KubeCon + CloudNativeCon EU 2022 (In-person) for the first time

Top 5 Sessions for AWS Developers at HashiConf Global

How I passed the AWS Certified SysOps Administrator Associate Exam (SOA-C01)

How I passed the AWS Certified Developer Associate Exam (DVA-C01)

How I passed the AWS Certified Cloud Practitioner Exam (CLF-C01)

How I passed the AWS Certified Solutions Architect Associate Exam (SAA-C02)

This article offers tips to help you right size your EC2 instances and RDS DB instances.

Amazon QuickSight is a scalable, serverless, embeddable, machine learning-powered business intelligence (BI) service built for the cloud. It makes it easy for all employees within an organization to build visualizations, perform ad hoc analysis, and quickly get business insights from their data, anytime, on any device.

For these use cases there are some common security best practices that can be addressed using AWS services. How enterprises choose to invest in each of these will be based on their risk model.

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to setup or manage, and you can start analyzing data immediately.

This article outlines two key scenarios that are common in hybrid networking and how they influence the design and architecture of your workloads on AWS. It also presents the assumptions that were made for each scenario, the common drivers for the design, and a reference architecture of how these scenarios are implemented.

Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto.

AWS includes the components needed to enable pipelines for predictive analytics workflows. There are many viable architectural patterns to effectively compute predictive analytics. In this section, we discuss some of the technology options for building predictive analytics architecture on AWS.

Amazon OpenSearch Service (OpenSearch Service) makes it easy to deploy, operate, and scale OpenSearch Service for log analytics, full text search, application monitoring, and more.

AWS streaming services enable you to focus on your application to make time-sensitive business decisions, rather than deploying and managing the infrastructure. ABC1Cabs is an online cab booking services company. All the cabs have IoT devices that gather telemetry data from the vehicles.

AWS streaming services enable you to focus on your application to make time-sensitive business decisions, rather than deploying and managing the infrastructure. Company ABC4Logistics transports highly flammable petroleum products such as gasoline, liquid propane (LPG), and naphtha from the port to various cities.

Amazon EC2, with instances acting as AWS virtual machines, provides an ideal platform for operating your own self-managed big data analytics applications on AWS infrastructure.

AWS streaming services enable you to focus on your application to make time-sensitive business decisions, rather than deploying and managing the infrastructure. Fast Sneakers is a fashion boutique with a focus on trendy sneakers. The price of any given pair of shoes can go up or down depending on inventory and trends, such as what celebrity or sports star was spotted wearing brand name sneakers on TV last night.

Amazon DynamoDB is a fast, fully-managed NoSQL database service that makes it simple and cost effective to store and retrieve any amount of data, and serve any level of request traffic.

AWS streaming services enable you to focus on your application to make time-sensitive business decisions, rather than deploying and managing the infrastructure. Company "ABC2Badge" provides sensors and badges for corporate or large-scale events such as AWS re:Invent.

AWS Lambda enables you to run code without provisioning or managing servers. You pay only for the compute time you consume – there is no charge when your code is not running.

Amazon Redshift is a fast, fully-managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data efficiently using your existing business intelligence tools.

In this blog post, we will discuss some of the most important AWS machine learning services that helps customers Modernize their ML development process which can accelerate their pace of innovation by providing scalable infrastructure, integrated tooling, healthy practices for responsible use of ML.

AWS streaming services enable you to focus on your application to make time-sensitive business decisions, rather than deploying and managing the infrastructure. Company "InternetProvider" provides internet services with a variety of bandwidth options to users across the world. When a user signs up for internet, company "InternetProvider" provides the user with different bandwidth options based on user’s geographic location.

AWS Lake Formation is an integrated data lake service that makes it easy for you to ingest, clean, catalog, transform, and secure your data and make it available for analysis and machine learning.

In this blog post, we will discuss some of the most important AWS machine learning services that helps customers solve real-world business problems in any industry.

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development.

A lake house is a modern data architecture that integrates a data lake, a data warehouse, and other purpose-built data stores while enabling unified governance and seamless data movement.

Amazon MSK is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications.

In this blog post, we will discuss some of the most important AWS machine learning services that help you make accurate predictions, get deeper insights from your data, reduce operational overhead, and improve customer experience. AWS helps you at every stage of your ML adoption journey with the most comprehensive set of artificial intelligence (AI) and ML services, infrastructure, and implementation resources.

Giving the decision-makers the opportunity to explore and interpret information in an interactive visual environment helps democratize data and accelerates data-driven insights that are easy to understand and navigate. Building a BI and data visualization service in the cloud allows you to take advantage of capabilities such as scalability, availability, redundancy, and enterprise grade security.

Amazon Kinesis is a platform for streaming data on AWS that makes it easy to load and analyze streaming data. Amazon Kinesis also enables you to build custom streaming data applications for specialized needs.

Operational analytics refers to inter-disciplinary techniques and methodologies that aim to improve day-to-day business performance in terms of increasing efficiency of internal business processes and improving customer experience and value.

Processing real-time streaming data requires throughput scalability, reliability, high availability, and low latency to support a variety of applications and workloads.

On AWS, analytic services, such as Amazon EMR , Amazon Redshift , Lake Formation Blueprints , and AWS Glue family services namely Glue ETL , Glue Workflows , AWS Glue DataBrew , AWS Glue Elastic Views allow you to run batch data processing jobs at scale for all batch data processing use cases and for various personas, such as data engineer, data analyst, and data scientists.

In this blog post, we will discuss some of the most important AWS Migration Services. Moving from an on-premises environment, hosting facility, or other public cloud to AWS, customers can benefit from IT cost savings, productivity improvements, business agility, and operational resilience.

people have been talking about the data-driven organization model for years, which consists of data producers and consumers. This model is similar to those used by some of early adopting consumers and has been described by "Zhamak Dehghani of Thoughtworks", who coined the term data mesh.

In this Blog Post, we will talk about AWS Management and Governance services. AWS Management and Governance services are built to manage highly dynamic cloud resources at massive scale.

At re:Invent 2021, AWS announced the v0.5.0 release of Karpenter, marking its open-source, Kubernetes node provisioning project as production ready. With Karpenter, Kubernetes users can now dynamically provision underlying compute nodes based on pod specifications more efficiently than the existing Kubernetes cluster-autoscaler project.

At a keynote during its Amazon Web Services (AWS) re:Invent 2021 conference today, Amazon launched AWS IoT RoboRunner, a new robotics service designed to make it easier for enterprises to build and deploy apps that enable fleets of robots to work together.

In this blog post, we will discuss some of the most important AWS Storage services and How to provide reliable, scalable, and secure storage for your data.

In this blog post, we will discuss some of the most important AWS Mobile and Web App services that will help you in the development and operation of web and mobile solutions, as well as speed up the whole process and make it more stable.

In this blog post, We will talk about AWS Database services and Blockchain services. AWS Database services that help us build use case-driven, highly scalable, distributed applications suited to our specific needs. Developing blockchain and ledger applications is simpler, faster, and more efficient with AWS.

In this blog post, we will discuss some of the most important AWS analytics services that are built to handle large amounts of data at scale and automate many manual and time-consuming tasks. This services are purpose-built to give you the best performance, scale, and cost for your needs.

In this blog post, we will discuss some of the most important AWS networking services that help you quickly set up, secure, and monitor your network. This services improve security, availability, performance, and help with streamlined monitoring both on-premises as well as on AWS cloud.

In this article, we’ll cover the benefits and potential drawbacks of CloudFormation and how to setup and modify your architecture with templates. We’ll also share CloudFormation template examples that can make things even easier. By adopting AWS CloudFormation, you and your team will spend far less time building and managing your infrastructure, so you can stay focused on development.

In this blog post, we will discuss some of the most important AWS security services that protect your data, accounts, and workloads from unauthorized access.

Companies that don't have experienced developers already on staff may struggle with the AWS tool set, but it's hard to argue against the raw computing power of Amazon's cloud. If an IT team is ready to explore the world of AWS cloud developer tools, it will want to get to know the following developer tool services mentioned in this article.

You’re imagining future games that delight players, and these games need the infrastructure and solutions to support your development. Bringing your ideas to life requires servers that can scale with tens of millions of players around the world. It requires databases that can process terabytes to petabytes of ever-changing data.

The way organizations are using Kubernetes has quickly evolved in the past years. All the giant cloud providers offer managed Kubernetes services for their customers so that they can easily automate the deployment, scale, and manage their containerized applications. It is best to get a deep understanding and look beyond the price and consider factors like scalability, security, features before making a final decision. We’ve also decided to group the different features available for each managed Kubernetes services in this blog.

This article will provide you with database backup scripts that not only allow you to create database backups, but also upload the backup dumps to Amazon S3 and automate the process daily.

The AWS Elastic Beanstalk is a cloud deployment service by which you can easily set up your application on the Amazon Web Services infrastructure simply by just uploading it.

In this blogpost, I would like to give you an overview of some fully-managed serverless services provided by Amazon Web Services (AWS), which can be used to create fully cloud-native serverless applications.

When people look for tools to implement infrastructure as code on AWS, they often narrow the choice between AWS CloudFormation or the open-source tool Terraform. Let’s review the differences between the two so you can determine which is right for your needs.

Amazon Simple Storage Service, also known as Amazon S3 is an online storage facility. It is cheap, fast and easy to setup. And since it’s a service provided by e-commerce giant Amazon, you can be rest-assured whatever you stored at S3 is secured.

When it comes to Machine Learning (ML) and giving it as a service, it requires Data Engineering, ML, and DevOps expertise. While deploying a production model, several issues arise like versioning issues, problems in the model pipeline, etc. Solving out these issues is time-consuming

Users of Amazon Web Services are likely familiar with some AWS cost optimization best practices, but probably not all of them. Consequently, I have compiled a list of the ten best practices to optimize AWS costs, and also suggest a solution that ensures the costs of using Amazon Web Services remain optimized.

The storage strategy you choose plays a major role in the performance you receive, as well as the costs you’ll expend. To achieve peak efficiency, you must match your computing, application, and processing needs to the appropriate storage technology. But which option is right for you?

The container approach allows developers to focus on applications and not be concerned with deployment and infrastructure management. From a development perspective, there are numerous benefits to the container approach.

The main difference between the two is; AWS CodeBuild can be classified as a tool in the Continuous Integration category, while AWS CodePipeline is grouped under Continuous Deployment.

The AWS Educate Cloud Ambassador Program is for top-tier cloud educators who serve as ambassadors and evangelists for AWS Educate. These leaders share their knowledge and experience in teaching cloud computing with other educators at their institution, in their community, and around the world.

The AWS Community Builders program offers technical resources, mentorship, and networking opportunities to AWS enthusiasts and emerging thought leaders who are passionate about sharing knowledge and connecting with the technical community.

There isn’t any question that AWS offers quite a number of services. In fact, it can get downright confusing. The services are classified into domain categories including network, content delivery, identity compliance, migration, storage, database, compute, management tools, and security. here are the top 10 AWS services used by everyone in the industry.

Cloud computing in 2020 is more mature, going multi-cloud, and likely to become more focused on vertical and a sales ground war as the leading vendors battle for market share.

A review of the things I have learned from building in the open over the past year. Thoughts and reflections on what it takes to grow a project and the difficulty translating open-source success to commerical success.

AWS Educate is Amazon’s new Learning Platform to Learn Amazon Web Services and it is basically free for all students and Educators who want to learn AWS Services and Explore all the new Stuff which AWS has to Offer that to Absolutely Free without any charges.

I started my journey into the cloud around june 2018. I was always interested in cloud technologies and found it fascinating. I was surfing a lot of random articles and blogs carrying information about cloud.

This year the annual re:invent conference organized by AWS was virtual, free and three weeks long. During multiple keynotes and sessions, AWS announced new features, improvements and cloud services. The AWS team and their sponsored partners did an amazing job of making the virtual experience welcoming, collaborative, and interactive — something that is quite hard to coordinate in a remote setting.

AWS re:Invent is a learning conference hosted by Amazon Web Services (AWS) for the global cloud computing community. The event features keynote announcements, launches, sessions, and more. This is the second part of my highlights from AWS Re:Invent 2020 Conference.