We recently had the opportunity to work with a global communications company that shapes how consumers, businesses, governments and militaries around the world communicate. As part of our work with them, we were establishing a new AWS Disaster Recovery (DR) process, part of which had a Jenkins backup in another AWS Availability Zone (AZ). In helping the firm with its cross-AZ DR process, we were challenged with the Jenkins job status which impacted the AZ status. AWS Disaster Recovery blog is the story of how we approached the situation, creating a unique solution that solved the customer’s needs all in one place.
It’s not an understatement to say that uptime for this provider’s emergency communications services, can spell the difference between life and death. Communicating with people during critical events to keep them safe, informed and connected, this company had a need to maintain its 100 percent up time, security and availability as it grew. The DevOps team here at Flux7 were glad to take the call to give them a hand.
As more organizations move to cloud computing, the ability to deploy with a blue-green deployment scenario is gaining popularity as a proven strategy to reduce downtime and risk. As this agile approach is one we are being asked about more often, today we will discuss the benefits of blue-green deployments, specifically within AWS hosted infrastructure, and how it can be even more easily facilitated now that Amazon CloudWatch events support AWS CodePipeline as a target.
We work with a variety of healthcare companies and recently had the opportunity to work with one who brings the fun of fitness to customers. This firm pairs motivational workouts with gamification elements to ensure that its customers attain health and fitness.
Amazon Web Service (AWS) Elastic Load Balancing (ELB) is widely used to build highly available and highly scalable architectures. Nowadays, ELB is as common as EC2 is for many customers using AWS. And, Elastic Load Balancing supports the following protocols: HTTP, HTTPs, TCP and TCPs.
Read our latest blog comparing RabbitMQ for AWS with AWS SQS FIFO queues
Every day in the world of modern technology, high availability has become the key requirement of any layer in a technology. Message broker software has become a significant component of most stacks. In this article, we will present a RabbitMQ tutorial: how to create highly available message queues using RabbitMQ.
Those migrating to the cloud are often confused by performance on AWS. With so many metrics, they’re not sure which ones pertain to their application needs. The biggest questions seem to center on network performance characterized as “low,” “medium,” and “high,” which is why we’ve focused on network performance for this series on AWS performance benchmarking. To measure network performance we chose the industry-standard benchmark Iperf and used i2.8xlarge instances.
As mentioned in part 1 of this series (Creating a LAMP Stack AMI), a common concern among most customers is to choose the right instance type.
AWS Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances. It helps to achieve better fault tolerance in applications by seamlessly providing the amount of load balancing capacity needed in response to incoming application traffic.