Top 4 DevOps trends to watch out for in 2017


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One of the most powerful, overarching trends we saw in the recent year is the growing adoption and maturity of DevOps practices. As software development organizations continue to implement or modernize their DevOps practices, it’s important not to get left behind. IT operations management and development groups need to understand where technologies are headed so that they are ready to adapt when the time comes.

To help you understand the challenges and opportunities in DevOps, Expedux spoke to DevOps experts from various types of organizations such as product organizations, digital marketing agencies and e-commerce firms. Here’s what they had to say.

 

A clear definition of DevOps will emerge

IT companies have been struggling with DevOps transformations for years. But 2017 will be the year that DevOps is finally at the stable mode.  Many organizations will challenge agile and recognize DevOps as the new ALM methodology that is a generation beyond agile, rather than a superset.

 

Microservices and containers will be driving application delivery

With many organizations making a change towards DevOps, microservices have become a uniquely aligned architecture to help achieve success. This is because microservices enable organizations to architect their solutions around a set of decoupled services — that can each be developed and released independently. Each service focuses on doing just one thing well and enabling more rapid time to market, with less interdependencies to reduce risk. Going together with microservices, containers serve as an ideal deployment vehicle. That’s because containers are designed to run one isolated process, with minimal deployment and runtime overhead.

 

Big data and DevOps are coming together

One massive thing DevOps tools have accomplished is automation. In these pipelines, organizations are suddenly creating a ton of data. When they start applying machine learning to this, organizations can really start to hone in on some interesting data where they can predict failures and identify areas for optimization.

 

Consolidation becomes critical

As DevOps matures, large, complex organizations will focus on finding ways to consolidate and standardize their DevOps processes, tooling and implementation. Rather than investing in each team’s software delivery as a “snowflake” set-up, they invest in converging all teams and applications around shared configurations, environments, tooling, processes, security test, etc. This consolidation allows for reusability, improved visibility, security, auditability, and resource utilization – while still being flexible enough to support specific teams’ needs.

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