Microservices is a software development methodology, or Service Oriented Architecture (SOA) style responsible for application structuring. From the performance of microservices leading up to 2018, experts have identified some trends that will characterize microservices in 2019.
#1: Test Automation
Conventionally, individuals structured test cases for determining whether or not software will work correctly across a wide range of circumstances. Quality assurance (QA) engineers were often responsible for creating and running test cases. The current trend is for software engineers to be in charge of testing, instead of the traditional QA team. This is the result of test-driven development that requires developers to carry out tests throughout the Continuous Integration (CI) pipeline.
Businesses and organizations look forward to a software testing solution that automates design and has the ability to run and report the results. So, there should be no friction with this solution. It should smoothly connect to CI systems, add comments as a human engineer would do, and analyze new code in real time.
#2: Incident Response
The rise of Site Reliability Engineers is a response to the intricately distributed systems. These systems suffer resiliency challenges often. So, the engineers automate manual processes that were previously performed by system admins. Now, they are in charge of efficiency, performance, latency, availability, capacity planning, and emergency response.
The financial implications of downtime can be quite significant, which necessitates a fast solution. According to Gartner, this financial implication is up to approximately 6k average revenue loss per minute. In fact, big retail sites, such as Amazon, may encounter up to $220k revenue loss per minute. Overall, it is not just money that is lost, the brand’s image is also at risk with such downtime issues.
Solutions are expected to be geared towards providing innovative incident response. Therefore, any centralized platform should also list out the impact and status of the incident, including the event timeline, status and effect on the long run, in addition to assigning roles and kicking off workflows.
#3: CD/Verification for Enhanced Productivity
CD simply stands for Continuous Deployment. There’s always pressure on businesses to speed up software release cycles. With CD, any code that passes testing is applied to production in an automated manner. Compared to CI, the task of ensuring code can be safely and rapidly deployed to production is accomplished by a set of design. Continuous Deployment goes further to manage the full deployment.
The manual activities of DevOps engineers are being replaced by CD. Because of this, CD will be aided to become a point of intelligent control for multi-cloud environments. It will make predictive abilities available. Such predictive capabilities include insights into the best region, cloud, as well as configuration for service deployment in line with its circumstances.
Finally, experts have predicted that more developers will be tooling around the deployments of microservices, which would cut down the cost associated with complexity. So, organizations can keep on the trend of migration to microservice architectures.