AWS Environment Archives

Why do we need AWS Proton?

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AWS Proton deployment type is a fully-managed application delivery service for container applications that enables platform operations teams to provide consistent architecture across an organization and enables developers to deliver their applications on approved infrastructure using a self-service interface. AWS Proton helps to provide well-architected templates and best practices when development teams deploy containers and […]

What is AWS Data Pipeline Service?

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Data is growing exponentially at a rapid pace. Companies of all sizes realize that managing this data is a more complicated and time-consuming process. Problem Statement Massive amounts of data are in different formats, so processing, storing, and migrating data becomes complex. Companies have to manage various types of data such as: Real-time data for […]

How Kibana Works in ELK Stack

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Here we are going to discuss how Kibana works in the ELK stack. But, first, we need to understand the ELK stack. ELK stack combines three open-source tools: ElasticSearch, Logstash, and Kibana for log analysis. Logs are one of the most important pieces of data. Kibana uses the excellent faceted queries as provided by ElasticSearch […]

Introduction to Orchestration with AWS ECS

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Orchestration In the past, data ingestion was done as part of a scheduled batch job overnight, but the cloud has changed because we can no longer assume that our systems will be living adjacent to each other in the data center. Orchestration is the automated configuration, management, and coordination of computer systems, applications, and services. […]

Introduction to Amazon Neptune – Graph Database

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Highly connected data is essential for many of today’s applications, including knowledge graphs, identity graphs, fraud graphs, social networking, and recommendation engines. Corresponding data needs to be managed and queried in a simple and fast way. But traditional databases are too rigid, and existing graph databases are difficult to scale as applications grow. Here we […]

Log Analytics with ELK Stack in Business

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What is Log Analytics? Log analytics is the science of analyzing raw data to make conclusions about that information. This information will be helpful to optimize processes to increase the overall efficiency of a business or system. When an analyst tries to find out an error or try to find out on which server it […]

Amazon Kinesis and Elasticsearch Service

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Amazon Kinesis makes it easy to collect, process, and analyze real-time streaming data. So the user can get timely insights and react quickly to new information. It is also known as a streaming pipeline that allows its users to get data into the Elasticsearch service. Three sub-services come with different capabilities under the Amazon Kinesis […]

What is Identity Access Management (IAM)?

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Amazon Identity Management or IAM allows its users to manage access to compute, storage, database, and application services in the AWS cloud. IAM uses access control concepts, basic concepts such as users, groups, and permissions, which get applied to individual API calls. So, it allows us to set permissions to control users can access to […]

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data. So the user can get timely insights and react quickly to new information. It is also known as a streaming pipeline that allows its users to get data into the Elasticsearch service. Three sub-services come with different capabilities under the Amazon Kinesis service group. Kinesis Streams: Amazon Kinesis Streams stores data as a continuous replay able stream for custom applications. The user can use different frameworks or technologies according to their choice to process the data in real-time, panicking the stream. A KCL at Kinesis’s Client Library application can use spark streaming. The user can use the Lambda function or Kinesis analytics. Kinesis Firehose: It’s an abstraction layer on top of the Kinesis stream. It automatically loads streaming data in real-time into different analytical and data storage destinations, including S3 redshift and Amazon Elasticsearch service. Kinesis Analytics: Kinesis Analytics allows its users to use standard language to run queries and analyses against the data stream directory. So, the user can use the SQL scale, which most of the customers already have today, to run a real-time analysis against the real-time data stream to get analysis results. What is Kinesis Firehose? It allows its users to deliver streaming (event) data into destinations such as BI database, data exploration tools, dashboards, etc. It’s fully managed with elastic scaling that responds to increased throughput and allows users to batch many events into a single output file. Key Concepts of Amazon Kinesis Firehose Delivery Stream: The underlying entity of Firehose. The user can use Firehose by creating a delivery stream to a specified destination and send data to it. Record: The data of interest that an organizations’ data producers send to a delivery stream. A record can be as more significant as 1000 KB. Data Producers: Producers send records to a delivery stream. For example, a web server that sends log data to a delivery stream is a data producer. Data Flow Overview of Amazon Kinesis 1. Capture data and submit streaming data to Firehose. 2. Firehose loads streaming data continuously into Amazon S3, Redshift, or Elasticsearch Service. 3. Analyze streaming data using any analytical tool. Zero Administration: Capture and streaming data into Amazon S3, Redshift, and Elasticsearch Service without writing an application or managing infrastructure. Direct-to-Store Integration: Batch, compress, and encrypt streaming data for delivery into data destinations in as little as 60 seconds using simple configurations. Seamless Elasticity: Seamlessly scale to match data throughput without intervention. Amazon Kinesis – Firehose Vs. Stream Amazon Kinesis Stream: It’s for the use case that requires custom processing, per incoming record, with sub second processing latency and choice of stream processing frameworks. Amazon Kinesis Firehose: Kinesis Firehose is for use cases that require zero administration, the ability to use existing analytics tools based on Amazon S3, Amazon Redshift, Amazon Elasticsearch, and a data latency of 60 second or higher. Why Kinesis Firehose for Elasticsearch • Easy to Use • Integrated with AWS Data Store • Serverless Data Transformation • Near Real-Time • No Ongoing Administration • Pay Onley for What You Use Amazon Elasticsearch service is a cost-effective managed service that makes it easy to deploy, manage, and scale open-source Elasticsearch for log analytics, full-text search, and more. An enterprise can run all its streaming applications without having to deploy and maintain costly infrastructures. Amazon Kinesis can handle any amount of streaming data and process it from hundreds of sources with low latency. Amazon Elasticsearch Service Benefits • Easy to use • Supports open-source APIs and Tools • Secure • Highly Available • Tightly integrated with other AWS Service • Easily Scalable

Introduction to AWS QuickSight

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Managers have to make critical decisions from time to time with vast impacts on the organization. Providing access to the right information in the right moments empowers organizations to make the choices that drive their company forward. Amazon web services introducing Amazon QuickSight, a Cloud Power Business Intelligence service to facilitate this even more adequately. […]

Real-time Data Streaming with AWS Kinesis

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AWS Kinesis AWS Kinesis is one of the best-managed services, which significantly scales elastically, especially for real-time processing of the data at a massive point. These services can collect a large stream of data records, which are incredibly consumed by the application process that runs on Amazon EC2 instances. The amazon kinesis is used to […]

Introduction to CloudBees Jenkins Enterprise

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Every organization wants to choose the best platform to run their business to create their customers’ best experience. In the past, DevOps tools kept teams siloes in different groups making it hard to align their priorities and deliver successfully but this has changed with CloudBees Jenkins enterprise. CloudBees Jenkins CloudBees Jenkins platform provides a range […]

Amazon Redshift Enterprise Data Warehouse & Migration

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Customers want to leverage more modern data architectures to deliver analytics on a broader range of data and toolsets. Customers also want to reduce the cost and complexity of operating a traditional data warehouse to provide all the facilities. Amazon brings Redshift for the enterprise data warehouse. Amazon Redshift enterprise solution is a fully managed […]

Introduction to Amazon Redshift

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Amazon Redshift is a fast, fully managed petabyte-scale data warehouse. Amazon Redshift makes it easy and cost-effective to analyze all the data using existing business intelligence tools. The data warehouse brings together datasets from all across an organization into one place with Redshift to easily run queries process; Redshift natively supports distributed workloads. It incorporates […]

What is Amazon Connect Center

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Every business needs to delight its customers with a personalized experience. Creating a delightful experience with traditional on-premises contact centers is difficult because they are expensive to maintain, and it can take months to make even the simplest of changes. Amazon builds its contact center allowing its users to serve their customers. It scaled it […]

AWS Auto-Scaling and Benefits

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For enterprises, a business organization has to spend a lot of money purchasing the infrastructure to set up some solution that requires a one-time cost. However, it is a burden for a business organization to procure server hardware software and then have a team of experts to manage all those infrastructures. Every business needs a […]

Amazon Lex Complete Solution for Business

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Amazon Lex – Features Amazon Lex’s latest core feature is sentiment analysis, which analyzes a text to understand that text’s emotion sends an appropriate response to the user. It is a machine learning-based feature that analyzes the user’s emotions like anger, happiness, sadness. This feature is amazon’s comprehension, a natural language processing service based on […]

AWS Lex Chatbot Ecosystem for Business

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Due to the advent and rise of the Corona Virus disease of 2019, most countries have gone under lockdown, and all the corporate officers have adopted work from home fashion. In such a scenario, cloud computing cut down costume servers and their maintenance cost and made it easier to scale the process. One of the […]

AWS Docker Containers

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What are AWS Containers? AWS Containers are just isolation of processes and evolution of virtualization technology. Containers are virtual hardware and machines. With a virtual machine, an organization virtualizes operating systems, runs an application within the system, and the associated binaries and libraries required for the application within the environment. AWS Docker Containers, on the […]

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