What is the Future of Monitoring?

I read Tom LaRock’s post on the future of monitoring, looking at the rise of machine learning and complex algorithms to evaluate systems. Tom notes that the data input into a system is crucial in determining whether the system can produce a prediction or output that has value. Since the humans that decide what data is included may not choose wisely, the system won’t necessarily reduce the time required to manage a system.

I tend to agree. From my conversations with those people having success with machine learning systems, the data preparation is the most critical (and difficult) step. Shortcut the cleansing and organizing, or make poor choices of what data to include and you won’t likely get actionable results.

However, I have a different view of monitoring. After my watching of the Darpa Grand Challenge (editorial on this recently), I think the future of monitoring is perhaps actually making changes to code in-line. Perhaps with approval from humans, but I suspect that we can train some process to understand how particular batches can cause issues. We can certainly set filters that might note index changes on large tables could be problematic and should be investigated before an issue arises. We can teach a system to recognize code deployments, perhaps even roll back certain changes if the application fails. We certainly could have a machine learning system watching index usage and query plans to recommend indexes in a real time manner, perhaps even turning on and off on-line rebuilds.

I think there is possibility, but where I’d really like to see advanced monitoring is not in production environments. I’d like to see better systems that can watch development, helping suggest or rewrite SQL before it’s deployed. Perhaps applications can warning developers of potential performance or security issues. Such systems could help us in building more consistency into our applications. We can have systems that help our developers code better.

As our databases and software become more critical to the functioning of most of our businesses, we certainly need more reliable and robust development practices.

Steve Jones

The Voice of the DBA Podcast

Listen to the MP3 Audio ( 3.6MB) podcast or subscribe to the feed at iTunes and Libsyn

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DevOps at Microsoft

I’ve been watching Microsoft for quite a few years, with my career being tightly intertwined with the company for 25 years.  I’m amazed by the way the company has changed in the last five years. It’s probably been longer than that, but from the outside, the last 5 years have been surprising. Certainly the way Microsoft produces software is a process worth studying by almost any organization with developers. There are some scale advantages Microsoft has, and their mission is to reach and touch people at a level far beyond what many of us deal with, but there are lessons to be learned.

There’s a great piece that shows some of the ways in which Microsoft is practicing DevOps in their own software development. I like that the focus isn’t just that developers do more, but that operations staff are involved in working closely with the development teams. In fact, there’s a quote I like that notes in addition to technology changes and habits, ” we found that the organizational changes and cultural shifts required to embrace these practices have been just as significant.”

As I talk about smoothing the database development pipeline and creating efficiency in the process, I want people to be aware that cultural change is required. My employer, Redgate Software, can sell you tools that solve the technology challenges, but if you don’t change the way you build software in your culture, with your staff, the tools don’t help. At best they make a few tasks easier for developers, but you will still have issues releasing your software consistently on your schedule, whatever that may be.

There is also the emphasis on developers deciding when to release. In Microsoft’s domain, this probably works, but not likely for many line of business applications in organizations. However, the focus should be getting changes to customers quickly after development. The sooner they see features, the sooner they can provide feedback on whether the software works as expected or changes are needed. This quick feedback also means that developers have the architecture and flow of the code in their recent memory. Always a recipe for smoother continued development and quicker bug fixes.

Testing isn’t emphasized much, though I think as developers become more accountable, and they can get changes to customers quicker, they’ll start to want automated testing that allows them to check for regressions, as well as ensure requirements are being met. Microsoft has the advantage that many of their internal teams can actually use the end product, something that isn’t always easy for those of us in other industries.

DevOps works. The principles are sound, and it doesn’t matter if you’ve followed the principles for decades (maybe under another name) or just started a new process by asking for more coordination and collaboration from your teams. Learn to build a coherent system with your developers and operations staff, throughout your software development process, and your whole organization will benefit.

Steve Jones

The Voice of the DBA Podcast

Listen to the MP3 Audio ( 4.6MB) podcast or subscribe to the feed at iTunes and Libsyn .

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Quick Tips–Using ii in #SQLPrompt

SQL Prompt has lots of great features that can help you write SQL quicker. However, you’ve got to train yourself to use a few of these and not just start to type with your old habits. This quick tip looks at one of those areas when inserting data into tables.

There are times I’m building some test data to try a new piece of code. In the past, I’d start typing INSERT. In SQL Prompt, this gives me a selection after beginning the ins, which is how far I get as a quick typist.

2016-08-22 10_34_02-SQLQuery7.sql - (local)_SQL2014.Sandbox (PLATO_Steve (57))_ - Microsoft SQL Serv

Effort: 4 keystrokes.

I’ve tried to write cleaner T-SQL, so I’d add in the INTO, which for me is “i” plus 2 down arrows.

2016-08-22 10_34_11-SQLQuery7.sql - (local)_SQL2014.Sandbox (PLATO_Steve (57))_ - Microsoft SQL Serv

Now: 9 keystrokes

Next, I’d begin with the table, in this case, my Employee table. For me, this means hitting “e” and then the down arrow.

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Now: 11 keystrokes

Hitting Tab at this point would get me the insert statement, with the list of columns and default values. Having the quotes already there, and the data types, can be really handy.

Total: 12 keystrokes

That’s a pretty quick way to get the insert statement. However, there’s a better way. If I type “ii”, I get this:

2016-08-22 10_41_51-ObjectDefinitionBox

That’s one of the built in snippets for SQL Prompt that builds an insert statement. Now I can add my table.

2016-08-22 10_42_02-SQLQuery7.sql - (local)_SQL2014.Sandbox (PLATO_Steve (57))_ - Microsoft SQL Serv

That means in 6 keystrokes I’ve built the same insert statement, and it’s much quicker. As I’ve gotten used to using ii, I can get test data for an algorithm built very quickly.

Hopefully, you’ll see the value in SQL Prompt and start using snippets to improve your ability to code quickly and take the hassles and guesswork out of cleanly building SQL Code. You can also read a similar piece I wrote on the Redgate blog.

Try a SQL Prompt evaluation today and then ask your boss to get you this productivity enhancing tool, or if you’re using the tool, practice using ii the next time you need to insert some data.

I’ve also written a similar piece on the Redgate Blog,  You can see a complete list of tips at Redgate.

You can also watch this tip in action:

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The Black Boxes

Machine learning and artificial intelligence seem to be the hot topics these days. From bots that can interact with people to systems that learn and grow as they process more data, it seems that science fiction is becoming reality. At least, in limited ways. Autonomous cars, perhaps the highest profile example of these topics, are advancing and being tested in a few locations around the world, but I think we are a long way from having human controlled and autonomous cars interacting freely at any scale. There are still plenty of issues to work out, and the consequences from mistakes require serious consideration.

I was thinking of this as I read an interesting question: Whose black box do you trust? It’s a look at algorithms and machine learning, and the impact they have on the world around us, despite many of us not understanding how they work. The main examples in the piece are in the area of journalism as it relates to social media (primarily Google and Facebook), but also touches on autonomous vehicles, both autos and planes. The latter was a bit of a shock to me as I assumed humans always handled takeoff and landing, something the author says doesn’t happen at SFO. Some searches around pilot sites seem to note that automated landing is done regularly to test systems, but is used in a minority of cases.

The question is, do we trust the black boxes that run our systems, and really, does it matter? In the piece, Tim O’Reilly says he has four tests for trusting an algorithm:

  • the outcome is clear
  • success is measurable
  • the goals of the creators align with the goals of the consumer
  • does the algorithm lead creators and users to better long term decisions.

Those are interesting ways to evaluate a system, though I think the problem is that the last two are a bit nebulous. One of the things that I see more and more as I get older is that the same data or the same facts can lead two different people (or groups) to two different results. Our goals, our interpretation of events, even the weights we place on the various factors in a complex system vary dramatically from person to person. In such a world, can we truly evaluate what the goals of a creator are? Forget about consumers, assume one person building a software system. They will have multiple goals, and do we really think their goals can be easily listed? Or weighted/ranked appropriately? What about when the goals change?

I really think that the black boxes need more disclosure, though I freely admit there isn’t a good way I know of to do this. However, I do know one thing that can be better disclosed: data. We can have more openness and analysis of data from software systems along with some accountability by creators for the impacts of their software. Again, I don’t know how to enforce accountability, especially at scales that encompass millions of consumers and easily cross country borders. That is a problem I think we need to find ways to tackle, at least at some manageable level. Maybe using the 80/20 rule where 80% of consumers and creators find the outcome to be a good one.

The world of technology and software are advancing and growing extremely quickly. Certainly hardware advances, but it seems the last 5-10 years have been more about new and different software applications that fundamentally alter the way humans can interact in social, business, and government situations. Underpinning all the changes is data. New data, more data, and novel ways of working with this data in ways that were unheard of 20 years ago. It’s an amazing time to be a data professional.

Steve Jones

The Voice of the DBA Podcast

Listen to the MP3 Audio ( 5.2MB) podcast or subscribe to the feed at iTunes and Libsyn .

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What Helps You Learn?

There was a post recently asking how to train a junior DBA. What tasks do you give them, how to get them productive, etc. The responses were interesting, but I was struck by one note from a person that is a junior DBA. This person mentioned a few things that have helped them get better at their job, some of which I hadn’t thought about before.

Since I try to teach people about SQL Server in writing, in presentations, and longer formats, I decided this might make a good poll question. If you spend a few minutes thinking about how you’ve improved your skills at your job, let us know what works best for you.

What things can others do to help you learn more about your job?

Are there specific things that have actually worked better for you? Perhaps you prefer to learn alone, but even then, what works well for you that builds skills. Is there a format or style of presentation that reaches you?

I’m a big believer in multiple voices and multiple ways to teach people. This is one reason we sometimes have 2-3 articles on the same topic from different authors. Each will reach different people, and speak to them in different ways. I think the format (text, video, live, etc. ) also has some impact on what helps different people learn. Let us know today what works best for you.

Steve Jones

The Voice of the DBA Podcast

Listen to the MP3 Audio ( 2.1MB) podcast or subscribe to the feed at iTunes and Mevio.

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More Azure Database Creation in Powershell

I wrote about Azure SQL Database for T-SQL Tuesday #82, but I had a few mistakes in my process, at least from a cost standpoint. Since I’ll probably use this a bit more as I flesh out some CI/CD, I decided to document a bit more about the database creation process.

The Old Code

One of the problems I noticed right away was that I created an S2 level database in my post, which was too large. That wasn’t needed, and it might eat up my database credits. My original code was:

New-AzureRMSqlDatabase –ResourceGroupName “Default-SQL-WestEurope” –ServerName “dkranchapps” –DatabaseName “TSQLTuesday” –Edition Standard –RequestedServiceObjectiveName “S1”

In here, there are a few things that are obvious to me, and some that might not be. I won’t delve into detail on how to choose some of these, but I’ll define what they mean. There is a doc page for the cmdlet, which I used to check what I knew.


This is the way you organize Azure resources. In my case, I have one resource group, which I named “Default-SQL-WestEurope”. This was the first group I made, intending this to be for SQL servers, and it’s in the West Europe region. Hence the name. 


This is self explanatory, but you create servers to host resources in Azure. The one I created a long time ago for experiments was “dkranchapps”. I re-used it here, though I could have created another one.


I’m not defining this. If you don’t know, stop reading.


This is the basic edition for your database. There are multiple options, but I used “Standard”, which was in the sample documentation code. However, a Standard incurs a charge from $0.0202/hr to $0.2016/hr. That doesn’t sound like much, but there are 720 hours in a 30 day month. That’s $14.44 to $145.15 a month. Again, not much, but this is per database. This could cause me issues with my $150/month credit.


This is the scale within the Edition. I’m not sure why this the Edition is needed if we specify this here, but we can use a name or a value (GUID). In my case, I neglected to check the S2 syntax when I made the database. What I’d want for most things is a Basic or maybe an S level if this is short lived.

Other Options

There are other options. I can specify the subscription in a parameter, do a “WhatIf” to see what this would do, Force the command without user conformation, set a maximum size, and more. 

While you might not need these options, I’d encourage you to look through the list and make sure that it’s not your intention to omit something that might be important in your situation.

Creating a Basic Database

One of the things I want to try is scripting the creation of a database in my CI process. That’s not quite simple, and it’s a task for another day, but here’s a basic call that I can work on adding to my builds.

New-AzureRMSqlDatabase –ResourceGroupName “Default-SQL-WestEurope” –ServerName “dkranchapps” –DatabaseName “” –Edition Basic –RequestedServiceObjectiveName “Basic”

Once I run this, I can check the portal, and sure enough, I see my database at the correct size.

2016-09-21 10_52_49-SQL databases - Microsoft Azure

That’s the first step to automating some builds. Now I need to worry about security and API keys, but for now, I can build a database.

And, of course, remove it with Remove-AzureRMSqlDatabase.

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Capture the Flag

I’ve read a lot of science fiction in my life. Quite a few books talk about cyberspace and the interactions of humans and software. In Snowcrash there are AI systems defending systems. The Unincorporated Man series has AI systems that not only have sentience, they hide their capabilities from humans. Numerous other examples exist, including movies such as The Matrix, which popularized system programs independently able to evaluate and react to security issues.

Science fiction is here, showcased recently at the DARPA Cyber Grand Challenge. You can watch a bit about the challenge or read a short article about what happened. Overall, it’s amazing. Seven systems ran various pieces of software that were targeted at finding vulnerabilities, patching their own and exploiting those of other systems. All without human intervention.

In a visualization, I picture a team of Agent Smiths (from the Matrix) seeking out rogue programs that seek to wreck havoc inside of the operating environment. Or maybe a series of automated developers tracking down bugs, such as buffer overflows and correcting the code to remove the issue.

Is this where static code analysis is heading? Automated repair, or maybe even real time repair? Could we actually have a software bot that might run through your Entity Framework (EF) application, tracking down SQL Injection vulnerabilities and correcting them? Even at a rudimentary level, I can imagine a bot that examines incorrectly parameterized queries and rewrites the code to properly manage the .NET code. Perhaps at some point we’ll even have bots that can understand queries from some application and build stored procedures on the fly that accept parameters, are called the next time a particular method is called, and can even grow to evolve with schema changes.

I know the simplistic ways in which we might build this code would have their own sorts of issues, but I’m hopeful that at some point we’ll have semi-intelligent bots that can fix code to ensure it’s secure and reliable, while keeping the creativity originally built by the human developer.

Steve Jones

The Voice of the DBA Podcast

Listen to the MP3 Audio ( 3.2MB) podcast or subscribe to the feed at iTunes and Mevio .

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Analyzing Data in Real Time

A few years ago I was listening to a presentation from Microsoft where they touted a customer that had real time analytics with Analysis Services. Since my exposure had been that cubes needed to be processed, a resource intensive process, I was wondering what this meant. Imagine my surprise to hear that the cube was being updated within 5 seconds of the changes in the OLTP system. Talk about real time.

Of course, the definition of real time isn’t really well known. We linked a piece in this week’s newsletter that looks at a survey of companies and their investment in real time, streaming, data movement pipelines. The definitions from companies about real time range from sub-second to 24 hours. I’m sure I think that 24 hours is real time, but if you’re used to processing cubes weekly, maybe that feels real time. I tend to see real time on the order of minutes, maybe a few tens of minutes. Once we get to hours, that feels more like batch processing, albeit fairly rapid batch work.

I am sure there are systems that need real time analysis, especially in some areas where decisions must be made quickly. As we move to more and more machine learning algorithms and automated intelligence, there will certainly be more call for real-time data movement. Yet another opportunity for data professionals, especially those that work with ETL pipelines. There will be tough problems, not only with moving data, but tracking lineage, recovering from issues, even weeding out bad data quickly.

However, that’s an opportunity for you, not me. I bet there are a few data professionals out there that feel the way I do. There are great challenges in solving real time problems, and building systems that can handle high volumes of data. The thing is, I value my sleep. I value not working all-nighters, I value a balance in my life. While I find the problems fascinating and the money involved tempting, I prefer to work on more pedestrian systems.

I’m glad there are people that want to work on very difficult problems, and I wish you all the best in taking advantage of these opportunities. I hope you’re well paid, and you have a great time building these impressive systems. I also hope to read about some of the amazing things you do, so please, share the knowledge where you can. This is a great, exciting time to work with data, and it’s one that I continue to enjoy every day.

Steve Jones


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Restaurants At Summit

At the PASS Summit this year, there won’t be a Thursday night party. I think that’s fine, as it never seemed like a highly attended event, and the costs are high.

That means that Thursday night is open, and I know lots of you will be looking for something to do. Or you’ll know someone that’s looking for something to do. In either of those cases, Andy Warren and I are looking to try and organize a few things. One of these will be around dinner plans for attendees.

That’s where I’m looking for help from you. I need a list of restaurants in the downtown Seattle area.

We’re looking for recommendations from those of you that have eaten dinner in Seattle. Give us a name/address, cost ($ or $$ or $$$) and how busy it was. We’re looking for those places that are walking distance or short Uber/Lyft/cab from the Convention Center area.

Leave a comment with your recommendation and watch out for our announcement soon on the meetup plans.

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Are You a Tech Company?

Are you a tech company. That’s an interesting question. I’m sure some of you might not think so, working for a commercial organization that has some physical product you sell or some service you provide. You might not consider yourself a tech company. However, your organization might be, at least according to this essay at Medium.

I certainly think software has changed, and will continue to change the world. I think data becomes is an important part of our system, but in conjunction with software and the ease with which we can gather, process, extract, and analyze the information inside of our data. In order to do that, I do believe that we need ways to better build and deploy software, whether that’s database software or application software.

To do that, can we be afraid of mistakes? I think not. The opening premise of the piece is looking at rapid delivery from two points of view. Can a system be secure if you change it multiple times a day? Or perhaps it can’t be secure if you don’t have the ability to change things. Either view could be true, and most of us lean one way or the other. My view is towards the latter, not because I want to release multiple times a day, but because if there are issues, bugs, or security holes, I need to be able to change my software that day. I can’t wait for weeks or months.

That’s one of the problems I’ve seen with quite a few systems in the past. The time to release a new version, to patch an issue, is far, far too long when potentially hundreds, or thousands, of malicious attackers could take advantage of a flaw this week. Or our company could lose customers because a feature is broken for long periods of time. While I don’t think the cost of fixing mistakes is zero, I do think that the cost of not fixing issues is also more than zero. Certainly at times the cost of not fixing something might be much, much higher than our organization would tolerate.

Mistakes will happen. However, the point the essay makes is valid. We should learn from mistakes, and not try to avoid them, but continually push forward to improve our software. Above all, we need to find ways to engage our employees and get them to believe they can produce better software and are empowered to do so.

Steve Jones

The Voice of the DBA Podcast

Listen to the MP3 Audio ( 3.4MB) podcast or subscribe to the feed at iTunes and Mevio .

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