AWSCloudDevOps

Ensuring Security and Compliance With AWS Graviton Environments: A Comprehensive Approach

Introduction As organizations embrace the power and efficiency of AWS Graviton processors for their workloads, it is crucial to prioritize security in these environments. In this blog post, we will explore the security aspects of AWS Graviton environments and delve into the compliance standards that can be met using the advanced security features provided by […]

Satyam Negi
Satyam Negi
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AWSBig DataCloud

Mastering Schema Management: Transitioning from Confluent to AWS Glue Schema Registry

Introduction In the dynamic realm of data integration, schema registries are crucial, ensuring data coherence, harmony, and structure. Amidst notable contenders, Confluent Schema Registry and AWS Glue Schema Registry shine as prime choices for efficient schema management. With businesses aiming to enhance operations within the extensive AWS ecosystem, the migration from Confluent to AWS Glue […]

AWSCloudData & Analytics

Future Trends and Developments in AWS Graviton: What to Expect

Introduction AWS Graviton has revolutionized cloud computing with its cost-effective and high-performance ARM-based architecture. Designed to provide an alternative to traditional x86 instances, Graviton instances offer significant benefits in terms of cost savings and improved efficiency. Before diving into future trends and developments, let us have a look at AWS Graviton and its features first. […]

DevOps

Exploring the AWS Graviton Processor: Unveiling the ARM-Based Architecture

Introduction to ARM Architecture The AWS Graviton processor family represents a groundbreaking advancement in cloud computing driven by the power and efficiency of the ARM architecture. As a Reduced Instruction Set Computing (RISC) architecture, ARM delivers exceptional performance and energy efficiency, making it a dominant force in diverse computing domains. AWS’s custom-designed Graviton processors leverage […]

DevOps

Leveraging AWS Graviton for Containerized Workloads: Docker and Kubernetes

Introduction In the fast-paced world of cloud computing, businesses are constantly searching for ways to optimize their workloads and enhance performance. One such solution is leveraging AWS Graviton for containerized workloads with Docker and Kubernetes. This powerful combination opens up new possibilities and can significantly enhance the efficiency of your cloud environment. In this article, […]

AWSCloudDevOps

Strategies for Assessing and Planning a Migration to AWS Graviton

Introduction With the rise of cloud computing, businesses continually seek ways to optimize their infrastructure for improved performance and cost efficiency. AWS Graviton, Amazon Web Services’ custom-designed ARM-based processor, has emerged as a compelling option for organizations migrating their workloads to the cloud. When compared to the fifth-generation x86-based Amazon EC2 instances, Graviton2 instances offer […]

Application SecurityAWSCloud

Creating Production Grade Microservices Architecture on AWS EKS

Introduction The main goal of this blog is to provide production-grade best practices for Microservices Infra in a way to implement the entire system easily on your own. You’ll see what an end-to-end solution looks like, including how to combine Kubernetes, AWS VPCs, data stores, CI/CD, secrets management, and a whole lot more to deploy […]

AWSCloudCloud Managed Services

Boosting ECS Task Monitoring with CloudWatch Input Transformer

Introduction In the fast-paced world of application delivery, ensuring the health and reliability of our ECS tasks is crucial. Without a reliable alerting mechanism, there’s a risk of overlooking critical task failures that can have a bad impact on our production environment. Just imagine a situation where application tasks fail silently, resource constraints go unnoticed, […]

Big Data

No Code Data Ingestion Framework Using Apache-Flink 

The conveyance of data from many sources to a storage medium where it may be accessed, utilized, and analyzed by an organization is known as data ingestion. Typically, the destination is a data warehouse, data mart, database, or document storage. Sources can include RDBMS such as MySQL, Oracle, and Postgres. The data ingestion layer serves […]