Top 9 Questions To Determine Whether You Should Outsource Your Distributed Messaging
The modern tech world is constantly evolving. Things like cloud technology and software development look different than they did just a couple of years ago. There’s the constant innovation that helps companies keep up with the required pace of developing applications. Over the years, the number of companies outsource distributed messaging in order to widely grow their organization.
The available workforce in these fields has also increased substantially in recent years. For many companies, it makes both financial and strategic sense to outsource specific processes of their work.
Lots of modern companies rely on outsourcing distributed messaging to deliver their applications to their clients, and some companies have started outsourcing their distributed messaging processes. However, before you do this, it’s essential to ask these top 9 questions to determine whether you should outsource your distributed messaging.
- Is it hard to find competent engineers?
Finding good distributed systems engineers isn’t an easy task. It is basically a niche position that not just any engineer or developer can handle. Not many people know about this line of work, but at the same time, the lack of interest is partly because of the knowledge required for the position.
Developers need to have extensive knowledge of:
- Network protocols
- Pre-requisite and hash rings
- Data types and data
- Consensus algorithms and gossip protocols
- SoA and microservices
The fact that very few people are doing these jobs means that it is difficult to find unemployed people and that hiring them is very expensive.
- Is distributed messaging a core competency of your enterprise?
As you might already know, distributed messaging isn’t something anyone can do. If your business excels at it and that’s what you work on developing daily with a competent team, outsourcing your processes is probably not the answer. In that case, it would be better to hire more people.
However, if this is something that you simply need and isn’t the core of your business, it would be better to outsource to another company.
- Would you like to accelerate your ML initiatives?
Lots of companies today have growing requirements for machine learning and use it to make better business decisions. However, machine learning requires a lot of data handling. Even if companies have their knowledge of ML, they can’t take care of that data.
That is where outsourcing distributed messaging services comes into play. Various distributed messaging platforms can handle scalability with ML solutions and their complexity.
- Are engineering projects delayed because of custom coding and connectivity work?
The answer to this one is quite simple. You’ve probably heard the saying: “If it ain’t broken, don’t fix it.” Well, you can use it the other way around: “If it’s broken, fix it.” If there’s a lot of coding that needs to be done on your distributed messaging processes and connectivity, but you aren’t able to keep up, make sure to outsource.
It’s as simple as that. None of your projects should be delayed because of this. At the same time, if you need to hire several new people to make up for what is lacking, it will probably be cheaper to outsource.
- Is the engineering group driving value or plugging holes in the tech stack?
Tech stacks are a set of sophisticated components that need to work well together. However, the issue for a lot of companies is that there’s a constant need for upgrades. They need to invest a lot of time and effort in staying up-to-date with the latest technologies.
It’s also crucial to remain within the limits of their budget. If your team cannot get the right solutions, switch outdated ones on time, and ensure that you have the right solutions for your business goals, it might be time to outsource.
- Is scaling difficult for you?
Modern cloud architectures have apps divided into smaller building blocks that are easier to maintain, develop, and deploy. However, different workloads and using multiple application instances can increase the number of queues.
Outsourced message queues can help you scale precisely according to your needs. The workload can be easily distributed between different consumers as the queue itself can be shrunk and grown as per current demands.
- Do you have to do everything manually?
Automating tasks is generally a great thing. However, achieving automation and setting up the necessary infrastructure isn’t that easy, especially when talking about complex technologies. Luckily, open-source managed solutions work constantly on building automated solutions that allow data to be moved with ease.
Outsourcing with the right managed solutions will allow you unmatched throughput without any latency for all uses of pub-subbing, queuing, and streaming of data.
- Do you have AI needs?
Distributed messaging services like Pandio let companies set up AI and ML solutions. Many companies struggle with deploying AI – it lasts too long, and they end up with solutions that don’t give them the necessary ROI.
Solutions like Pandio let you drive more value from AI, create better AI automation, and help orchestrate messages and models across whole organizations.
- Are your distributed messaging costs too high?
No matter what kind of outsourcing we’re talking about, budgeting is always an essential factor. Many companies only outsource because they reduce their ongoing costs – it’s as simple as that. It’s the same with distributed messaging.
If deployment, managing, and upgrading your distributed messaging processes are too expensive, consider outsourcing them overseas. There are a lot of capable developers around the world willing to work for lower pay.
Conclusion
The tech world has always been a dynamic and open market. Everyone can be involved and find a place on the market for themselves, but as tech solutions continue to improve, more and more specialization is required. It is important to determine the necessity of distributed messaging. Outsourcing distributed messaging will be impacting various industries for years to come.