Across today’s enterprise development landscape, more challenges loom than ever before. There’s the rise of cloud technology, increased mobile behavior complexity, new security threats, performance optimization challenges, ballooning storage, database complexity and many more issues for select industries. So, let’s take a deeper look into how the container scalability may solve the challenges surrounding enterprise development.
Container Scalability to Solve Enterprise Development Challenges
IT and development leaders have tried to overcome these challenges using scrum, DevOps, Kanban, shift-left testing, VMs, and now containers. Our very own ROBIN Hyper-Converged Kubernetes Platform uses containers in a wholly unique fashion to improve stateful application agility and hardware performance utilization. So, of course, we love containers. But more than that, we love seeing stateful applications and containers play nice together. Which is why we published an infographic on this same topic, Tips from Top Thinkers: Building Stateful Applications with Containers
Persistent Storage is Top Challenge with Containers
The 2017 Portworx Annual Container Adoption survey made one thing clear; respondents are struggling to put containers to work with database or big data applications. When asked, the largest group of respondents cited “persistent storage” as a top challenge, when it comes to containers.
Containers are a double-edged sword. On the one hand you can easily and quickly containerize a system, application, or microservice. Spinning up containers is addictive and fast. But without logging some sort of strategy for your entire container footprint and application state, you risk losing track of integral database connections. Often times when the container infrastructure balloons without a logging strategy, breakdowns begin to occur as application updates roll out. Everything is fine at first, but then as programs, microservices, or volumes get changed and moved, the associated data layer gets lost in the shuffle. Poof, where’s your data? Without a logging strategy, you don’t know.
A Majority of Enterprises are Investing In Containers, Mostly for Microservices
This has been a breakout year for container technology. According to Portworx, the number of companies investing in containers spiked from 52% in 2016 to 69% in 2017. In talking with industry influencers and from our own experience, we know that containers are not yet being leveraged to their full capabilities. Most companies are frankly testing containers in stateless scenarios, and with microservices.
But the bigger container opportunity should not be overlooked. Stateful cloud applications, and challenging big data applications can also benefit from the right use of container technology. In fact, when leveraged in the data center for big data and database lifecycle management, ROBIN Hyper-Converged Kubernetes Platform achieves the following for clients:
- 50% better hardware utilization
- 40% lower IT OPEX costs
- 50% lower software license costs
To reiterate, we’re not a container orchestration software. We do much more than that. But, our entire process is powered by containers. Which is why enterprises should not overlook using containers in more fundamentally challenging development and lifecycle management scenarios.
Container Orchestrators are Now More Popular Than DevOps Tools
Move over DevOps, containers are all the rage. While collaboration, scale and reliability are the hallmarks of DevOps done right, containers can have a more direct and immediate impact on application performance. Which is likely why in RightScale’s sixth annual State of The Cloud survey, Docker beat out all other DevOps tools, in terms of the number of respondents using these platforms.
But this might have you thinking Docker has won the container war. Think again. The battle for top orchestration tool continues to rage. As more organizations begin to leverage containers in their everyday operations, container tools are advancing rapidly to meet new demands.
So is DevOps on the way out? Definitely not. DevOps, shift-left testing, and other agile methodologies hold great promise for teams wishing to scale and manage software efficiently. It’s important that practitioners not think of containers and DevOps as even in the same category. DevOps is a philosophy, containers are a technical tactic.
Are you looking to build, scale, or manage a stateful cloud application using containers? Download our full eBook to unlock insights from industry thought leaders on best practices, tips, and more.