Category Archives: CTO/CIO

Which tech do startups use most?

MySQL on Amazon Cloud AWS

Leo Polovets of Susa Ventures publishes an excellent blog called Coding VC. There you can find some excellent posts, such as pitches by analogy, and an algorithm for seed round valuations and analyzing product hunt data.

He recently wrote a blog post about a topic near and dear to my heart, Which Technologies do Startups Use. It’s worth a look.

One thing to keep in mind looking over the data, is that these are AngelList startups. So that’s not a cross section of all startups, nor does it cover more mature companies either.

In my experience startups can get it right by starting fresh, evaluating the spectrum of new technologies out there, balancing sheer solution power with a bit of prudence and long term thinking.

I like to ask these questions:

o Which technologies are fast & high performance?
o Which technologies have a big, vibrant & robust community?
o Which technologies can I find plenty of engineers to support?
o Which technologies have low operational overhead?
o Which technologies have low development overhead?

1. Database: MySQL

MySQL holds a slight lead according to the AngelList data. In my experience its not overly complex to setup and there are some experienced DBAs out there. That said database expertise can still be hard to find .

We hear a lot about MongoDB these days, and it is surely growing in popularity. Although it doesn’t support joins and arbitrary slicing and dicing of data, it is a very powerful database engine. If your application needs more straightforward data access, it can bring you amazing speed improvements.

Postgres is a close third. It’s a very sophisticated database engine. Although it may have a smaller community than MySQL, overall it’s a more full featured database. I’d have no reservations recommending it.

Also: Top MySQL DBA Interview questions

2. Hosting: Amazon

Amazon Web Services is obviously the giant in the room. They’re big, they’re cheap, they’re nimble. You have a lot of options for server types, they’ve fixed many of the problems around disk I/O and so forth. Although you may still experience latency around multi-tenant related problems, you’ll benefit from a truly global reach, and huge cost savings from the volume of customers they support.

Heroku is included although they’re a different type of service. In some sense their offering is one part operations team & one part automation. Yes ultimately you are getting hosting & virtualization, but some things are tied down. Amazon RDS provides some parallels here. I wrote Is Amazon RDS hard to manage?. Long term you’re likely going to switch to an AWS, Joyent or Rackspace for real scale.

I was surprised to see Azure on the list at all here, as I rarely see startups build on microsoft technologies. It may work for the desktop & office, but it’s not the right choice for the datacenter.

Read: Are generalists better at scaling the web?

3. Languages: Javascript

Javascript & Node.js are clearly very popular. They are also highly scalable.

In my experience I see a lot of PHP & of course Ruby too. Java although there is a lot out there, can tend to be a bear as a web dev language, and provide some additional complication, weight and overhead.

Related: Is Hunter Walk right about operations & startups?

4. Search: Elastic Search

I like that they broke apart search technology as a separate category. It is a key component of most web applications, and I do see a lot of Elastic Search & Solr.

That said I think this may be a bit skewed. I think by far the number one solution would be NO SPECIFIC SEARCH technology. That’s right, many times devs choose a database centric approach, like FULLTEXT or others that perform painfully bad.

If this is you, consider these search solutions. They will bring you huge performance gains.

Check this: Are SQL Databases Dead?

5. Automation: Chef

As with search above, I’d argue there is a far more prevalent trend, that is #1 to use none of these automation technologies.

Although I do think chef, docker & puppet can bring you real benefits, it’s a matter of having them in the right hands. Do you have an operations team that is comfortable with using them? When they leave in a years time, will your new devops also know the technology you’re using? Can you find a good balance between automation & manual configuration, and document accordingly?

Read: Why are database & operations experts so hard to find?

Get more. Grab our exclusive monthly Scalable Startups. We share tips and special content. Our latest Why I don’t work with recruiters

Is Hunter Walk right about operations & startups?

The.Rohit - Flickr

The.Rohit – Flickr

Join 26,000 others and follow Sean Hull on twitter @hullsean.

Hunter Walk blogged recently about the importance of building great operations teams. And while he was speaking primarily about business operations, the startup technical operations teams are equally difficult to get right.

1. performance & scalability

As your grows like Birchbox, your customer growth curve may begin to look like a hockey stick. That’s a good problem to have. Will your web application be able to keep up with the onslaught of traffic those customers bring?

Getting performance and scalability just right, will mean fewer site crashes during those key moments when all eyes are on your site.

Also: Is top operations talent hard to find?

2. Operations is key to architecture

Developers will always have strong opinions on architecture. However they may be heavily influenced by their own mandate, features, deliverability & deadlines. So it’s no surprise that they may sometimes choose to build on ORM’s, the middleware brought to you by Hibernate, Cake PHP, Active Record & the like.

And while these technologies seem a necessity in todays modern architectures, they play havoc with your long term scalability. Strong technical operations teams mean a better vision in this area. Heading off your reliance on these technologies will mean managing technical debt before it takes down your country.

Read: Are generalists better at scaling the web?

3. Operations informs strategy

Did you build in those operational switches to turn off the heaviest code, when your site gets overloaded? Operations strategy can help you see these problems on the horizon before they overwhelm you.

Have you considered building a browse only mode for your site? If you’ve ever visited Facebook or Yelp after hours you may have been greeted with the message “We can’t save your comments. Please try again later”. A small innocuous message to end users doesn’t disrupt their enjoyment of the site terribly. But from an technical operations perspective it’s huge. It means teams can perform backups, upgrades and maintenance without interrupting day-to-day activity on the site.

Related: Is scalability a big business?

4. Operations means resilience

We only learn real disaster recovery lessons from storms like Sandy. That’s because resilience highlighted best when it is a real & urgent need.

In technical operations, getting backups right & testing your recovery plan all form key steps in your path to excellence. Get them right before you need them, and ensure repeatability.

Read: Is high availability a real possibility?

5. Operations means technical strength

At the end of the day, getting technical operations right, means you can move from strength to strength. It means building on a solid foundation the likes of Google, Facebook, Foursquare & Etsy. It means you can evolve & grow with your customers, and meet their needs confidently.

Check out: Do startup CEO’s underestimate operational costs?

Get more. Grab our exclusive monthly Scalable Startups. We share tips and special content. Our latest Why I don’t work with recruiters

Are startup CEO’s hiding their scalability problems?

Russian_Dolls

Join 27,000 others and follow Sean Hull on twitter @hullsean.

Your site is running fine right? You have 1000 customers, and it usually runs smoothly. Just this one lingering question, why does it take five high performance EC2 instances to run the database, all on flash drives? Goood question!

The truth is one of the highest trafficed sites I managed, pulled in 100 million uniques a month, and only used three backend databases. That site was one of these wildly popular celebrity gossip sites, the ultimate guilty pleasure when you’re at the office and can’t watch reality tv!

Snickers aside, this is huge traffic. And all of the above was built on Drupal, with no ORM in the mix. It could even run, albeit noticeably slower, while memcache was disabled.

1. Servers with solid state drives

I’m very excited to see Amazon introduce servers with SSD drives. They can bring you 100x improvement of disk I/O, and that my friends is the end all and be all for databases. So why complain?

If you deploy on these boxes right out of the gates, it may be like using a crutch. You become dependent on it, and ignore real performance tuning. Solid state drives still won’t obviate that ORM middleware you’re using.

Also: Do managers & CEO’s underestimate operational costs?

2. Memcache saving your bad queries

Memcache is also a powerful tool. It sits between the database and your webservers, reducing load on the database by as much as 10x. That’s a great way to get better response time, and reduce drag on your db tier. But it’s still worthwhile performance tuning without it.

Why? If you can get your site to run without caching, it will run blazingly fast *with* it. Don’t use it as a crutch, use it as rocket fuel for your well tuned site.

Read this: Do startups need techops?

3. A legion of read slaves

I’ve seen smaller sites, using a ton of read slaves. All of it deployed to cover up slow & redundant queries pouring out of an ORM middleware layer, in this case Cake PHP.

Again, read slaves are great, but tune & test with less hardware, and get the performance up the hard way. With elbow grease!

Related: Howto automate MySQL query analysis with Amazon RDS

4. Really really big memory

64G, 128G, 256G of main memory? If I wax on about the days when you’d get excited by 64k, I’ll sound like an old timer. But with those extreme limitations, you had to write tight code. Otherwise it just wouldn’t do anything.

Really really big memory of today’s servers allows us to get lazy. I hear developers say “Hey, the database is 10G of data, and we have 64G main memory, so the whole thing will fit in memory. Problem solved!”

Duhhh… No. Why not? Because you still have to slice and dice that data. You still have to scan through for bits & pieces that aren’t indexed, then sort, and organize that into temporary memory space. In DBA speak, you’re still doing a ton of logical IOs.

Picture it another way, imagine the days when you’re on horseback, riding across the west. You travel light cause frankly your horse can carry only so much. Then along come cars, and you start loading up the trunk. You add the kitchen sign, and the rear tires are hanging on the ground. All seems fine until you hit a steep mountain, and you’re car is almost stalling at 20mph. If you had only carried the same load as you did on horseback, you’d be speeding across the country at lightning pace.

Read: Is Amazon RDS hard to manage?

5. Deploying poor code

Deadlines are looming, and new features must be deployed. So performance testing can wait until later. The code works after all.

Been there, done that. Code gets deployed and all of a sudden there are spikes on server load in the evening. Ops & DBA teams are screaming, “Who wrote this code?”.

Load testing should be a part of everyday QA & test. It’s the only way to avoid growing scalability problems.

Check this: Are SQL databases dead?

Get more. Grab our exclusive monthly Scalable Startups. We share tips and special content. Our latest Why I don’t work with recruiters

Why I ask clients for a deposit

Editor & writer in friendly dialog

Join 25,000 others and follow Sean Hull on twitter @hullsean.

1. It indicates both parties are serious

A common refrain when discussing terms of a project, and reviewing statement of work – “when shall we get started?”. The answer should be, “I’m ready to get started anytime you like. Would you like to use paypal or ACH for deposit?”.

The deposit signals to the vendor that it’s time to get working. This client has the budget and is serious about moving forward today.

Read: Why Fred Wilson is wrong about Apple

2. It protects against scope changes

Startups & seasoned businesses alike have changing needs. That’s why they may choose a situational resource to begin with.

If the winds change, and we don’t need you tomorrow, a deposit defrays the final invoice, and or discounts you may have applied.

Related: Is Dave Eggers right about risks of social media?

3. Insurance if business fizzles

Fizzling business, is a nice way to say the market has changed. Perhaps the startup has decided to pursue other opportunities. In close to twenty years of business I’ve only had this happen twice.

Once I was working with a rewards card business. They were already having trouble meeting payroll. Turns out businesses have a legal obligation to meet payroll. That’s another way of saying they’re at the top of the who-gets-paid list. And vendors may be closer to the bottom. They owner went back to being a lawyer, his profession before the startup.

All in all, a deposit provides some insurance in these cases.

Read this: 5 cloud ideas that aren’t actually true

4. Signals your maturity to client

This is a hard one for some freelancers and consultants to stomach. “I really want to get going with consulting, and don’t want to turn away this client.” The thinking goes. But consulting is a peer relationship, where vendor and client need to be on an equal footing.

Your need for a deposit, and willingness to walk away without one, says to the client you are professional and have been in business for some time.

Also: If you’re using MySQL in the Amazon cloud, you need to ask yourself this question

5. Protection from early termination

That sounds ominous but it doesn’t have to be. In the world of freelance and consulting, a client can decide they no longer need your services tomorrow.

Why? Perhaps they hired a fulltime resource? Perhaps their needs changed? Perhaps the storm of site outages have passed and the urgency has changed.

Whatever the reason, projects change. If you’ve offered a discount for three months of work, but only end up with one month of work, your full fees may apply. In that case, the deposit should be the discount amount.

Check this: Do managers underestimate operational costs?

Get more. Grab our exclusive monthly Scalable Startups. We share tips and special content. Our latest Why I don’t work with recruiters

Why Fred Wilson is wrong about Apple

apple_android

If you’ve followed the tech news recently, you may have heard Fred Wilson’s comments about Apple. In essence he believes Apple is too reliant and rooted in hardware, and that hardware isn’t viable in the long term. Mobile hardware, is becoming a commodity.

Join 25,000 others and follow Sean Hull on twitter @hullsean.

To be sure Androids have come a long way, and they may yet improve a lot by 2020 as Fred says. But the aftermarket value of iPhones really does speak volumes. See below.

1. iPhone has never had the best hardware

If you’ve ever watched a Samsung ad, or talked to someone with the phone you probably know this already. Bigger screens, faster processors, first phones with fingerprint readers, or untethered syncing. The list goes on and on.
Also: 5 Cloud ideas that aren’t actually true

Yes Apple is rooted in the hardware business, but not in a way that a commodity can disrupt it. They’re rooted in the hardware business only in as much as it helps them deliver polish. If it helps them deliver a seemless experience, and a device that Jean Luc Picard would appreciate, then they are in that business. . Just “make it so!”.

2. Users are seduced by simplicity

So how is it possible that an inferior piece of hardware could sell more?

Easy. Those users don’t think that way. They aren’t buying hardware. What do I mean?

I would argue many iPhone users buy for the experience, the simplicity, the ease of use. Designers call this User Experience or User Interface, but end users don’t know these terms. What they know is they don’t have a headache. They’re not frustrated trying to move an image from one app to another, or copy/pasting etc.

User interface is that invisible force that just makes everything on the device better. Call it polish, but it’s much more than a pretty face.

Related: Are SQL Databases Dead?

3. Most users don’t care about “open”

Another benefit touted on the Android side is it being “open”. The OS is open-source, and then extended by manufacturers. While this surely brings down costs to them, it may be all be irrelevant to end users and consumers.

Yes open standards are great for competition, great for markets, and ultimately great for users. But Microsoft is a great case study in why consumers often still choose a closed solution.

Read: Do managers underestimate operational costs?

4. Apple is Sexy

That may sound fanboyish, but seriously. Look at the accessories market for blinging your phones.

If that’s not enough, look at the aftermarket value. iPhones retain their value, Samsung’s don’t.

Read: Five things I learned from David Maisterabout trust and advising clients

5. Android is still broken

From where I’m standing, and a lot of experts agree, the Android ecosystem is broken.

For one the AppStore, being historically unregulated, is chock full of malware and dangerous downloads. Most users aren’t computer experts, not good at evaluating security risks, and pay the price.

What’s more many Android phones come stocked with bloatware, slowing down the device, and reducing reliability from day one.

Read: Why the Android ecosystem is broken

Get more. Grab our exclusive monthly Scalable Startups. We share tips and special content. Our latest Why I don’t work with recruiters

5 cloud ideas that aren’t actually true

storm coming

Join 20,000 others and follow Sean Hull’s scalability, startup & innovation content on twitter @hullsean.

Cloud computing is heralding us into a wonderful era where computing can be bought in small increments, like a utility. This changes the whole way we plan, manage budgets, and accelerates startups making them more agile.

But it’s not all wine & roses up there. I’ve heard a few refrains from clients over the years, and thought I’d share some of the most common.

1. Scaling is automatic

Rather recently I was working with a client on building some sophisticated reports. They needed to slice & dice customer data, over various time series, and summarize with invoices & tracking data. Unfortunately their dataset was large, in the half terabyte range.


Client: Can we just load all this data into the cloud?
Me: Yes we can do that. Build a system in Amazon public cloud, can support large datasets.
Client: I want it to scale easily. So we won’t have these slow reports. And as we add data, it’ll just manage it easily for us.
Me: Well it’s a little bit more complicated than that, unfortunately.

Unfortunately this is a rather familiar conversation that I have quite often. A lot of the press around cloud scalability, centers around auto-scaling, Amazon’s renowned & superb virtualization feature. Yes it’s true you can roll out webservers to scale out this way, but that’s not the end of the story. Typically web applications have a lot of components, from caching servers, to search servers, and of course their backend datastore.

But can we scrap our relational database, such as MySQL and go with one that scales out of the box like Riak, Cassandra or Dynamodb?

Those NoSQL solutions are built to be distributed from the start, it’s true. And they lend themselves to that type of architecture. However, if you’ve built up a dataset in MySQL or Oracle, and more so an application around that, you’ll have to migrate data into the NoSQL solution. That process will take some time.

Like teaching a fish to fly, it make take some time. They do well in water, but evolution takes a bit longer.

Related: RDS or MySQL 10 use cases

2. Disaster recovery is free

In the traditional datacenter, when you want DR, you setup a parallel environment. Hopefully not in the same room, same city or same coast even. Preferrably you do so in a different region. What you can’t get around is dishing out cash for that second datacenter. You need the servers, just in case.

In the cloud, things are different. That’s why we’re here, right? In amazon you have regions already setup & available for plugin-n-play use. Setup your various components, servers, software & configure. Once you’ve verified you can failover to the parallel environment you can just turn off all those instances. Great, no big charges for all that iron that you’d pay for to keep the rooms warm in an old-school datacenter. Or do you?

As it turns out, since you don’t have this environment running all the time, you’ll want to test it more often, run fire drills to bring the servers back online. That’ll incur some costs in terms of manpower. You’ll also want to include in there some scripts to start those servers up, and/or some detailed documentation on how to do that. And don’t lose that documentation, either will you?

You may also want to build some infrastructure as code unit tests. Things change, code checkouts evolve, especially in the agile & continuous integration world. Devops beware!

Read this: Why a killer title can make or break your content efforts

3. Machines are fast

Fast, fast, fast. That’s what we expect, things keep getting faster, right? Hard to believe then that the world of computing took a big step backward when it jumped into the cloud. Something similar happened when we jumped to commodity Linux a decade ago.

In amazon, it’s a multi-tenant world. And just like apartment buildings, popular restaurants, or busy highways you must share. When things are quiet you may have the road to yourself, but it’ll never be as quiet as a dirt road in the country!

Amazon is making big strides though. They now offer memory optimized & storage optimized instances. And an even bigger development is the addition of the most important feature for performance & scalability. That said the network & EBS can still be a real bottleneck.

Also: What is a relational database & why is it important?

4. Backups aren’t necessary

I’ve experienced a few horror stories over the years. I wrote about one noteworthy one When fat fingers take down your business.

True EBS snapshots make backing up your whole server, well a snap! That said a few extra steps have to happen (flush the filesystem & lock tables) to make this work for a relational database like MySQL or Oracle. And suddenly you have a verification step that you also need to perform. You see no backups are valid until they’ve been restored, remember?

But even with these wonderful disk snapshots, you’ll still want to do database dumps, and perhaps table dumps. Operator error, deleting the wrong data, or dropping the wrong tables, will always be a risk. Ignore backups at your own peril!

Check this: Why CTOs underestimate operational costs

5. Outages won’t happen

In an ideal world, everything is redundant, and outages will be a thing of the past. We’ll finally reach five nines uptime and devops everywhere will be out of work. :)

It’s true that Amazon provides all the components to build redundancy into your architecture, and very cutting edge firms that have taken netflix’s approach with chaos monkey are seeing big improvements here. But AirBNB did fail and at root it was an Amazon outage that shouldn’t ever happen.

Read: Why Oracle won’t kill MySQL

Get more. Monthly insights about scalability, startups & innovation.. Our latest Are SQL Databases Dead?

Why managers & CTO’s underestimate operational costs

too much inventory

Join 19k others and follow Sean Hull on twitter @hullsean.

1. Technology choices & talent shortage

I worked at one firm evaluating their technology stack. When we got to the programming language, I paused in my tracks. “Haskell” I asked? “Oh you haven’t heard of it? It’s a really cool functional programming language, and we found it had some cool features that we really wanted to use”.

I had to fight the urge to roll my eyes. Yes I’d heard of the language, sitting in the club with scheme, lisp & prolog, you study them at university. They’re certainly an interesting bunch and to be sure, can do some things that imperative programming languages can’t. But did it belong in the stack of this run-of-the-mill internet startup?

In this case the developers had full reign to choose any technologies they liked, adding more & more to the mix almost daily. But what are some of the ramifications here?

Two years, three years, or five years down the line, this team will be long gone, and another team will be picking up the pieces. Will you as a manager be able to find a lot of Haskell experts? What’s more operationally will you be able to support those choices? Will updates be made often enough to have a secure stack for years to come?

Also: 5 things toxic to scalability

2. Scalability & server costs

Server costs are easier than ever to estimate. Build your application to serve your first 10,000 customers on Amazon with a couple webservers and a database server. Growing 100x to a million customers, just vertically scale your db, scale out your webservers and you’re good. Or are you?

What happens when you hit a wall? Did you build your application on ORM technology or take on technical debt? I’ve seen firm after firm struggle with technologies like hibernate, eating up precious resources, and being helpless to eliminate the problem. Tread carefully on these types of questions.

Related: Why you’re not hitting five nines uptime

3. Patching, fixing bugs & managing security

Another long term cost of an application will be minor repairs and bug fixes. Those might appear in a slow steady trickle over the years, but security may loom larger. Cross-site scripting, SQL injection and many other threats can be a real headache.

What’s more fixes may involve the libraries your application sits on top of. And when they are upgraded, your application will require tweaks too. It’s all basic stuff when you’re knee deep in development, but when your application has been deployed, the original team is long gone, and you’re supporting it years later, it can surely get messy.

Read: The four-letter-word dividing dev & ops

4. missing operational switches

When building a web application, all eyes are on features. Which ones to include, and which are a priority. Pressure is heavy to build functions that can be sold to customers. Pleasing customers is of obvious importance.

So it’s no surprise that backend switches are often missing. But they can be a real boon for operations team. Suppose you roll out a new feature to support star-ratings on certain pieces of content. An operational switch can be built to allow that feature to be disabled as necessary. If the site is loaded, or trouble is brewing, you may desperately want some switches to disable parts of the site, without the whole thing going down. I talk about this in AirBNB didn’t have to fail.

Another useful thing is a browse only mode. This allows your site to operate, even when writing to the database is not possible. If you’ve ever tried to update on a social network like twitter, facebook or instagram, perhaps late and nite and gotten a “please try again later” message, you’ll understand the value. Here users can’t make changes, but otherwise the site appears to be working, and browsing works normally.

Check this: Are SQL Databases Dead?

5. Consider bitcoin

Mt. Gox, the Japanese exchange handling bitcoin failed in a spectacular fashion. 500 million of the digital currency was stolen. And what’s more since it’s all frictionless currency, untraceable, there’s no marked bills to try and track down. Ooops!

How does this relate to operational costs? The failure was squarely with the operations department. Functionally the site worked fine. But security wasn’t handled well enough, intrusion detection wasn’t employed, and “unspecified weaknesses” were to blame.

Security is one of those things that can be ignored without pain. Until something goes wrong. What’s more if it is being handled well, it’s invisible, and unappreciated besides.

Read this: Why Oracle won’t kill MySQL

Get more. Grab our exclusive monthly Scalable Startups. We insights on scalability, startups & innovation. Our latest Why I don’t work with recruiters

Why I can’t raise the bar at every firm

Screen-shot-2012-08-02-at-1.28.35-PM

Join 17,000 others and follow Sean Hull on twitter @hullsean. Also check out: Who is Sean Hull?

It may seem counterintuitive. If I am not the best solution provider, why on earth would I highlight it?

I believe by pointing those cases out, I also underline the clients and problems that I’m particularly well suited too, and for which I can really provide value. Read on!

1. People Problems

Sometimes, you’re hired to solve a particular problem which is framed as a technical one. Some process needs to be reworked, recoded or retooled. It’s framed as a technical problem, yet as things unfold the client already has the expertise in-house to solve & write the code. What then?

It may be that the right people aren’t communicating, project managers aren’t seeing the issues, or part of the human systems are gummed up. We can’t raise the technical bar, but we can help getting those folks talking.

I wrote about this before in When You’re Hired to Solve a People Problem.

Also: Why are oil spills & financial instability related to datacenter outages?

2. ORM Usage & Technical Debt

If you’ve read my blog you know I am not very fond of Object Relational Modelers.

I would also argue as Ward Cunningham does so elloquently that technical debt can be a real and pressing problem.

Here we would help identify and frame the problem, though the work of raising the bar technically involves the longer process of retooling & refactoring your code base.

Related: Why database choices are tricky

3. Where Commodity & Offshore Works

Some firms are already making use of odesk or offshoring resources, where you might pay as little as $150/day. If you have a very technical manager or CTO, such a solution may work well for you.

At the other end of the spectrum are the high priced senior consultants from firms like Oracle, Percona or Pythian. Yes they may set you back as much as $3500/day.

In those cases a scalability & performance review may make sense. Here’s how.. Although specialists are necessary, remember to ask yourself Why generalists are better at scaling the web.

We sit in the sweet spot between the two options. With low overhead, our prices are more affordable. At the same time you’re getting a whole lot more than a commodity solution. We’ll communicate in plain language with folks at every technical level. And for many firms that in itself is a value add.

Check this: Does Oracle Aim to Kill MySQL?

4. Existing team did their homework

Believe it or not, I’ve gone into consulting engagements where the existing team has really really done their homework.

In those cases it becomes much harder to raise the bar technically. In those cases I can help when existing team missed something. But more importantly, I can validate a correct setup, or identify technical debt.

Having an outside perspective then, can provide reassurance. As I see ten to fifteen new environments per year, I’ve seen hundreds in the past decade & a half. That’s helpful perspective in itself.

Read: Does Oracle Aim to Kill MySQL?

5. Availability & Uptime Are Already High

I wrote in depth about high availability in the Myth of Five Nines

At the end of the day, availability can only approach perfection, not actually reach it. That’s a property of complex systems. If your uptime is already extremely high, again we can validate your environment, review and provide & summarize findings. But we may not be able to raise the bar.

If that’s you, it’s a good problem to have!

Also: Why AirBNB Didn’t Have to Fail

Get more. Grab our exclusive monthly Scalable Startups. We share tips and special content. Our latest Why I don’t work with recruiters

Why Scalability Is Big Business

Russian_Dolls

Join 16,500 others and follow Sean Hull on twitter @hullsean.

1. Complexity Is Growing

Despite automation & the mass migration to the cloud, or perhaps because of it, complexity continues to grow. Back in the dot com era a typical infrastructure included a load balancer, a couple web servers, one oracle database, and that was pretty much it.

Now that has multiplied. Pile on top of that three to five more webservers, a search server, a page cache, an object cache, one or more slave databases and more. You may have a utility server with jenkins for continuous automation, monitoring applications like nagios and cacti, your source code repository and perhaps configuration management like Puppet or Chef.

That’s not only more moving parts, it’s a wider swath of skills and technologies to understand. That’s one reason Generalists Are Better At Scaling The Web.

Also: Are SQL Databases Dead?

2. Developer Mandate: Features

The pressure to build features that can directly be monetized is obvious. Startups especially have the pressure to grow fast and grow now. So security, technical debt, and scalability often take a back seat. What’s more in small scrappy and lean startups, ops sometimes falls on the shoulders of one competent but overworked developer.

Related: Why Oracle Won’t Kill MySQL

3. Startups Growing Pains

With hyper growth, startups can go from 100 customers to millions overnight. That kind of popularity is a good problem to have. But if your app hits a wall and suddenly falls over, everyone is scrambling. The pressure builds, as fear of losing that traction mounts, and heads are put on the chopping block.

Read: AirBNB Didn’t Have To Fail

4. Missing Browse-only Mode & Feature Flags

Ever been browsing for airline tickets, then go to order and get an error? Try again later? If so you’re familiar with a browse-only mode. This is a very powerful addition to any web application but is very often left out. Some mistakenly believe it won’t work for their application, as users will always be changing data.

Ever visited a website that has star ratings, only to find them missing? Or temporarily unable to edit your rating for a piece of content? This amounts to what’s called a feature flag. These powerful switches give operations teams the ability to disable heavy features, while the side is under tremendous load. They can take a huge burden off the shoulders of your servers when you hit that scalability cliff.

Check this: Why I Don’t Work With Recruiters

5. Operations as an afterthought

I outlined some of the top reasons Why Startups Desperately Need Techops. It is a repeating refrain. Priorities of a growing startup often involve taking on technical debt. But if that isn’t managed carefully you’ll run into some of the problems that Ward Cunningham Warns Us About.

Also: 5 Things Are Toxic To Scalability

Get more. Grab our exclusive monthly Scalable Startups. We share tips and special content. Our latest Why I don’t work with recruiters

25 Rumsfelds Rules for Startups

RumsfeldsRules

Join 12,100 others and follow Sean Hull on twitter @hullsean.

While we are still deep in the woods of a government shutdown, I thought it would be interesting to sum up some of our former Defense Secretary’s words of wisdom.

Rumsfeld may not have done everything right, but some of his quotes are priceless. What’s more they appeal to Startups quite nicely…

1 If you are working from your inbox, you are working on other people’s priorities.

Click To Tweet

2 Men count up the faults of those who keep them waiting.

Click To Tweet

3 In unanimity, there may well be either cowardice or uncritical thinking.

Click To Tweet

4 Test ideas in the marketplace. You learn from hearing a range of perspectives.

Click To Tweet

5. You can’t recover a fumble unless you’re on the field. Get out there.

Click To Tweet

Read this: Why the Twitter IPO mentioned scalability

6. First law of holes. If you get in one, stop digging.

Click To Tweet

7. Talent hits a target no one else can hit. Genius hits a target no one else can see.

Click To Tweet

8. You pay the same price for doing something halfway as for doing it completely so you might as well do it completely.

Click To Tweet

9. It is difficulties that show what men are.

Click To Tweet

10. What you measure, improves.

Click To Tweet

Also: Why I don’t work with recruiters

11. If you are lost, “climb, conserve and confess”

Click To Tweet

12. It is not the strongest species that survives, nor the most intelligent, but the one most responsive to change.

Click To Tweet

13. Luck is what happens when preparation meets opportunity.

Click To Tweet

14. People don’t spend money earned by others with the same care that they spend their own.

Click To Tweet

15. Disagreement is not disloyalty.

Click To Tweet

Related: Why a CTO must never do this

16. A lie travels halfway around the world before the truth gets its shoes on.

Click To Tweet

17. It is easier to convince someone they’re right, than to convince them they’re wrong.

Click To Tweet

18. Your best question is often why.

Click To Tweet

19. Simply because a problem is shown to exist, it doesn’t necessarily follow that there is a solution.

Click To Tweet

20. The world is run by those who show up.

Click To Tweet

Read: Who is Sean Hull?

21. Don’t panic. Things may be going better than they seem from the inside.

Click To Tweet

22. Know that the amount of criticism you receive may correlate closely to the amount of publicity you get.

Click To Tweet

23. Sunshine is a weather report, a flood is news.

Click To Tweet

24. If you expect people to be in on the landing, include them in the takeoff.

Click To Tweet

25. If a problem cannot be solved, enlarge it.

Click To Tweet

Read this: Why a killer title can make or break your content efforts

Get more in your inbox: Exclusive monthly Scalable Startups. We share tips and special content. Here’s a sample