Tag: software development
-
The Devil’s in the Details
This week I was scanning through a number of SQL Server posts (in between working on April Fool’s Jokes) and a couple of them caught my eye. They dealt with simple subjects, but subjects whose details are important. I’ve often found people have had performance issues in SQL Server because of simple misunderstandings of how the system works, or because not enough weight is given to the impact of small details.Kimberly Tripp (of SQLskills) wrote a basic post on parameters, variables, and literals, which would think most programmers would understand. However I realize more and more that lots of people that write code in the world taught themselves. That’s amazing, but it does mean that people have many different holes in their knowledge. What I might consider basic or common knowledge might be something that another person never had been exposed to. In any case, Kimberly does a fantastic job of laying out the differences in these three concepts, how they work side by side, and how the choice can dramatically impact performance of your code. Read this one.The other post this week was a fairly simple post on data conversions by Rob Sheldon. Again, precedence and conversions are something I dealt with when writing C code, and you do not want to get things wrong there. However many people might not have the same background and wouldn’t understand by varchar and nvarchar wouldn’t be a basic, simple conversion with little cost. Or why the type of conversion might result in far different results than you expect. Since we often test with one set of data and our application work with a (much) wider set of data, this one is a must read as well.There are so many things you should consider when writing code it’s really a constant and regular effort to improve your skills in this business. You won’t learn everything, or learn something every day, but pick things up and practice with them. Learn to build better code, one technique at a time, and cement that knowledge with actual implementation in your work.You’ve got at least two new things to look at this week, so pick one and try to ensure your code next week considers these details.Steve Jones -
Microservices for Databases
I ran into a talented developer last year that was talking about microservices. It’s an interesting concept, one the Netflix has adopted with success. I was excited about the possibilities of using microservices until this guy said that everything could be a microservice and the day of the RDBMS was over.
That was silly, and I’ll admit I struggled to remain polite in the discussion. Eventually I had to walk away because the idea of no RDBMS for any application is a ludicrous as the concept of using an RDBMS for every single system dealing with data. It’s frustrating to talk with someone that views our industry as too black and white. There are many ways to solve any problem and many problems can be handled by a variety of techniques.
However I am intrigued by microservices. It’s an area that I want to continue to research, as I suspect that the idea of small, loosely coupled applications, working in a service-oriented architecture, is a great way to scale systems.
From scratch.
I’m not sure that many of the monolithic, large applications we have in banking, in retail, in supply chain, in a variety of industries are worth rewriting to use SOA concepts. The return just isn’t there, as many of these systems can be served with bigger, faster hardware as they upgrade.
Microservices are interesting, and I suspect we’ll see more of them in the future. I also think that SOA, using messaging services like Service Broker, are a very robust way to build applications. I hope that more developers out there learn about SOA and find ways to start building system that can work well together, but aren’t so highly dependent that changes are difficult or stressful on everyone.
Steve Jones
The Voice of the DBA Podcast
Listen to the MP3 Audio ( 2.3MB) podcast or subscribe to the feed at iTunes and LibSyn.
-
Microservices and Databases
I ran across a post on microservices recently and was intrigued. I always like the idea of loosely coupled, independent items in software. However the idea of microservices causes issues with databases. Here’s the section in the piece by Netflix: Create a separate data store for each microservice.
I tend to think of microservices is very small, tightly bound components of software. If that’s the case, how can I separate each item in a database? Do I want dozens of databases?
I got in an argument with a developer a few months ago about this. The developer was sure that having separate databases (or stores) for each component wasn’t an issue. For things like banking and similar transfers, I’m not sure a microservice can be separated safely and still ensure integrity.
This is a tough concept for architecture, and I need to read more and understand how this could work in practice. I suspect that in places where things could be separate, you could easily use schemas in a database to separate out microservices from each other. If each service includes its own connection information, then using schemas would work and still allow for scale out to other databases if needed.
This is an area that certainly fits larger scale applications like Netflix and Spotify, but for many of us, our applications seem to be more tightly tied together.
Or are they?
Microservices are much like Service-Oriented Architecture (SOA), which I think fits many applications. I’m not sure how similar the concepts are, but this is certainly an area I’d like to learn more about.
-
Source Code Security
I’m not surprised, and I had expected to read about something like this much sooner. Apparently someone at the ride sharing company, Uber, posted a security key online in a GitHub distribution. I assume this was some sort of code repository for Uber that may or may not have been supposed to be shared publicly, but having used GitHub, I could see someone making a mistake and accidentally putting private code in the public space.
Uber is worried as the key is a security authorization key used to access their databases. Someone apparently downloaded Uber database files and now Uber is attempting to track them down. The whole situation is a mess, but there are a number of problems here that we could learn from.
I give a talk on encryption options in SQL Server and one of the main problems I see with symmetric keys in SQL Server is that they can be reproduced with the same parameters passed to CREATE SYMMETRIC KEY. This means that your source code is now a security hole, at least if the production values are stored in a VCS.
However that’s a no-no. Developers shouldn’t have access to account information or keys that are used in production. There should be separate credentials used in development, precisely for this reason. If someone gets your code, or hacks a dev machine, they shouldn’t be able to jump to production.
There’s also the issue of using a service like GitHub, or any online VCS. The distinction between private code and public code shouldn’t count on a human checking or un-checking the right box. I’d like to see some better separation, perhaps requiring separate accounts and connections for public and private distributions.
As we see here, convenience can easily result in poor security. That’s not a trade-off we should be making with our security and applications. Especially not for software developers.
Steve Jones
The Voice of the DBA Podcast
Listen to the MP3 Audio ( 2.5MB) podcast or subscribe to the feed at iTunes and LibSyn.