Book Image

Solutions Architect's Handbook

By : Saurabh Shrivastava, Neelanjali Srivastav
Book Image

Solutions Architect's Handbook

By: Saurabh Shrivastava, Neelanjali Srivastav

Overview of this book

Becoming a solutions architect gives you the flexibility to work with cutting-edge technologies and define product strategies. This handbook takes you through the essential concepts, design principles and patterns, architectural considerations, and all the latest technology that you need to know to become a successful solutions architect. This book starts with a quick introduction to the fundamentals of solution architecture design principles and attributes that will assist you in understanding how solution architecture benefits software projects across enterprises. You'll learn what a cloud migration and application modernization framework looks like, and will use microservices, event-driven, cache-based, and serverless patterns to design robust architectures. You'll then explore the main pillars of architecture design, including performance, scalability, cost optimization, security, operational excellence, and DevOps. Additionally, you'll also learn advanced concepts relating to big data, machine learning, and the Internet of Things (IoT). Finally, you'll get to grips with the documentation of architecture design and the soft skills that are necessary to become a better solutions architect. By the end of this book, you'll have learned techniques to create an efficient architecture design that meets your business requirements.
Table of Contents (18 chapters)

Platform monitoring

Your application may be utilizing several third-party platforms and tools that need to be monitored. These may include the following:

  • Memory caching: Redis and Memcached
  • Relational database: Oracle Database, Microsoft SQL Server, Amazon Relational Database Service (RDS), PostgreSQL
  • NoSQL database: Amazon DynamoDB, Apache Cassandra, MongoDB
  • Big data platform: Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, Amazon Elastic MapReduce (EMR)
  • Containers: Docker, Kubernetes, OpenShift
  • Business intelligence tool: Tableau, MicroStrategy, Kibana, Amazon QuickSight
  • Messaging system: MQSeries, Java Message Service (JMS), RabbitMQ, Simple Queue Service (SQS)
  • Search: Elasticsearch, Solr search-based application

Each of the aforementioned tools has its own set of metrics that you need to monitor to make sure your application is healthy as a whole. The following screenshot shows the monitoring dashboard of a relational database platform:

Platform monitoring dashboard for...