How do you get prepared for Infrastructure Engineering jobs?

datacenter-rack

I just started contributing to a great site called Career Dean. It offers a forum where students and new college graduates can learn from those with established careers in industry.

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A recent question…

Application infrastructure is not something we learned in my college, and it’s definitely not something I will learn anytime soon in my current job (I work as a mobile developer for a mid-sized startup). I also think it’s not something you can just goof around with in your own computer. 

Do companies prepare their software engineers when hiring infrastructure engineers, or do they all expect you to know your skills and tools? 

Also: Is automation killing old-school operations

For example, My guess is that Facebook has a huge infrastructure team making the site usable and fast for as many people as possible. Where can you learn that skills, or get prepared for that time of job? Do you think it is possible to self-learn those skills?

Here’s my take on some of this. Since the invention of Linux, experimenting with infrastructure has been within reach. In the present day there are some even better reasons to experiment & teach yourself about this important aspect of devops & backend server management.

Early Linux circa 1992

Before Linux (in the 80′s we’re talking about) it was a lot harder. Into the 90′s Linux came on the scene and you could cobble together parts, video, motherboard, memory, ide or scsi bus & disks & build a 486 tower. You could then start building linux. I mean because of course everything had to be hand rolled (compiled by hand & debugged usually)!

Also: Is five nines availability a myth in todays datacenters?

Present day virtualization

Fast forward 20 years, and it’s an incredible time to be messing with infrastructure. Why? Because virtualization means you can do it all right on your laptop.

Also: Are SQL databases dead?

What to learn

Start learning Vagrant. It automates the provisioning of virtual machines on your own desktop. You can boot those linux boxes to your hearts content, network between them, hack them, run services on them, build your skills.

I’d also recommend digging into docker. It is the lightening fast younger brother to Virtualization.

Also: Is Oracle trying to kill MySQL?

Fundamentals

You really need those fundamentals. Build some 1.x Linux kernels and see if you can get ‘em running. That’ll teach you some hacking & troubleshooting skills. Find forums to get answers.

Also take a look at CoreOS. It has some really cool stuff around infrastructure management & automation.

Also: Is the art of resistance important to devops success?

After all of that, you might want to play around with puppet or chef. Learn how to setup continuous integration, jenkins etc.

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Best of hiring posts on scalable startups

strawberries

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Why I write about hiring

I’ve worked as a consultant for almost twenty years. Technology & professional services are pretty far removed from hiring, so why would I write about it?

As it turns out, finding projects, working with clients, and selling your skills & solutions has quite a lot in common to do with hiring.

As a services consultant, you’re more often a peer to technology directors & CTOs, while hiring for traditional roles is more of a boss employee relationship.

Recruiters

I’ve run into a lot of recruiters & hr folks over the years. Usually it means I’m talking to the wrong folks, as they’re gatekeepers & not decision makers. I wrote Why I don’t work with recruiters after some ups & downs.

Still they’re all a fact of life, and each of us has a role to play. So let’s play fair!

Games

I’ve always wondered, Is Hiring a numbers game? That is does it bend more to persistence & throwing spagetti at the wall, or deliberate, precision searches?

MySQL interview

If you’re looking for a database expert, I put together
Top MySQL DBA interview questions and then another one
Advanced MySQL DBA Interview questions.

These are helpful not just to candidates, but to hiring managers, hr, recruiters & everyone in between.

Mythical talent

Since as far back as I can remember, DBAs have been in short supply. In the 90′s I was doing primarily Oracle work. There were never enough technical dbas. Many came from business backgrounds, and didn’t have operating system & hardware fundamentals.

As startups shifted to open source databases in droves during the 00′s, the situation became even worse. I wrote about
The mythical mysql dba – where can we find one?

Will NoSQL databases continue the same trend?

Hire a developer

With a little light humor, we throw some opinions into the fray around hiring devs with How to hire a developer that doesn’t suck.

As devops gains momentum, some see peace between the old-school silos of developers & operations. Some see the need for ops being supplanted by developers. We have some opinions too.

AWS Interview

Are you looking for an Amazon Web Services expert, who knows how to scale in the cloud? Devops & automation also on your mind? Check out
8 Questions to ask an amazon ec2 expert.

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Best of Startup Content on Scalable Startups

strawberries

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Costs

Costs of techops can involve short-term architectural, decisions, but what about the longer term affects of choices? Do cto’s underestimate operational costs?

A stack of…

These days the full stack of a internet or mobile startup involves a lot of varied components, from Chef, Puppet & Ansible, to Nginx, haproxy, redis, solr and some database like MySQL or Postgres on the relational end of the spectrum, or Mongodb, Hbase or Cassandra on the NoSQL side. What type of challenges does this pose to a team? I’m curious,
Do startups assemble at their own risk?

Most used tech

Leo Polovets ran some stats over the Angellist data of startups. He wanted to know Which tech do startups use most? and I summarized the results.

Death of ops?

These days with all the talk of automation, I’ve heard heard developers & even CTO’s argue of a diminishing need for backend administrators. Do startups still need techops?

Speed as a feature

Is Fred Wilson right to say speed is a feature? What does this mean for those migrating or already running in the cloud? How does scalability come into play?

Avoiding outages

Are many outages avoidable? Did Airbnb have to fail?

Performance Review

Reviewing architecture & site speed is a type of engagement that a lot of startups can benefit from. Here’s my Anatomy of a performance review.

Let things fail

Does it sometimes make sense to let things break a little? A tale of managed failure.

Young founders

I worked at one startup with a CTO just out of college. Although they were flush with cash & had real problems scaling, communication problems ultimately soured the engagement. Are you too young to be a boss?

80 million fix

Sometimes fixing serious performance bottlenecks can get a site back up on it’s feet. In this success story they went on to get acquired weeks after the fix. In tongue in cheek fashion I askWhere’s my 80 million dollars?

CTO’s should never do

There are times to get into the trenches. But what if it sacrifices leadership?What should a CTO never do?

Startups too cool for school

Joining YC but have no ideas? No problem. Is my startup too cool for your business school?

Instant business, just add water

Can a business be built in just a weekend? Is there a problem with startup bootcamps?

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Best of Scalable Startups Devops Content

strawberries

I wonder if I can blog about devops without first level setting on what the term means. Yes I’ll agree it’s used broadly, sometimes as a buzzword, sometimes as a catch-all phrase. Luckily I already wrote a post like that… What is devops and why is it important?.

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Fear of automation

There’s a lot of automation happening in the cloud. A lot more configuration management (chef, puppet, ansible) is in use. I’ve seen some platform as a service companies (Heroku & EngineYard are examples of these) argue that you can now spend more on devs. You won’t need an operations staff. This raises the question Is automation killing old-school ops?.

NoSQL taking over…

If you look left some startup is building on Mongodb, and look right and another is building on Cassandra. It makes you wonder, Are sql databases dead.

Death of MySQL?

While we’re on the topic of relational databases, it’s been six years since Oracle’s purchase of Sun Microsystems. Some are still worried, Will Oracle kill MySQL?

Big mistakes!

Mistakes happen in the datacenter. Sometimes *big* mistakes. You’ll cringe at When fat fingers take down your database but hopefully learn a few things about what not to do!

Hurricane lessons

Two years after a hurricane devastated lower manhattan we can still learn a lot. Real Disaster Recovery lessons from Sandy.

Db operations

Every startup has a database. You ignore that management at your own peril. I wrote 10 ways avoid trouble database operations

On resistance

Another week, another war story. Sometimes the job of an op, systems administrator or DBA is actually to say “no”. In this story the CTO was shouting, and tons of money was being lost every minute. Supposedly. So I wrote Does a devop need to practice the art of resistence?

Perspectives & mandates

Ops & devs look at the world in different ways. I argue that’s because the business asks them to do very different things. Devs are tasked with bringing change, through new code & product features. Ops are tasked with continuity, stability, uptime & performance. That often means resistance to change. So I wonder Does a four letter word divide dev & ops?

Database as a service?

You’re looking at Amazon Web Services, and wondering, should I use their RDS database service or build my own MySQL? Here are 10 use cases for RDS or MySQL.

On High availability

99.999% uptime you say? Is there a myth of five nines that we’re still struggling with?

Open Source

Many custom Oracle applications could just as easily run on MySQL. But if you’re going to migrate from Oracle to MySQL, prepare to bushwack. Open source is a jungle!

What you don’t know can hurt you…

If you’re a manager or CTO, beware Beware what ops doesn’t tell you mysql.

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Best of Scalable Startups Consulting Content

strawberries

I’ve been blogging very regularly for the past four years. In fact the blog itself has been around for over ten years! Time flies!

In that time I’ve posted a lot of evergreen content, some that google finds, and some that could be dusted off.

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So here’s a peak into the archives, of some of the very best of scalable startups. Enjoy!

1. I blog about consulting

When you spend years doing consulting, professional services & freelance work, you learn all sorts of things. You stumble, you find yourself in unfamiliar territory, you learn. All that makes great fodder for blogging about business, and war stories. So here’s some of my best writing on the topic.

I had one experience where a prospect was still on the fence. That may be positive spin, as the title was
When prospects mislead. It turned out to be more a case of free consulting advice than anything else.

At networking events, I meet other freelancers, and consultants. There’s always debate about this topic, so I wrote
Why i ask clients for a deposit. There are reasons for both client and consultant, and I touch on the lessons i’ve learned.

It might seem strange that I’d write a post titled
Why I can’t raise the bar at every firm but there are prospects that aren’t the right fit for me. Here are some of the pre-qualifying questions on both sides of the fence.

Sad to say, but every client & consultant relationship isn’t a love story. So I wrote
When a client takes a swing at you about one such relationship and how I handled it.

I ask the question,
Does weekly billing increase time pressure? I think it does change the dynamic in some positive ways and I discuss those.

You’re ready to hire a consultant. What’s next? As it turns out, professional services is more a peer relationship with CEO’s, CTO’s & managers. So the typical, “send me your resume” and so forth may not be best. Here’s
5 conversational ways to evaluate consultants that provide an alternate approach to finding the best services.

One of the hardest things for engineers can be sales. Along the way to consulting success, I wrote
Can an engineer learn to love sales? Eventually it’s a skill that you have to improve at, if you want to stay in business for yourself.

Ever consulting engagement is not about your own triumphs. The conclusion isn’t always the wonderful things you’ve done for the firm. I wrote
When you have to take the fall after an engagement where it wasn’t a celebration at the end.

Sometimes in consulting, there’s what you’re hired to do on paper, and then what the real challenges are.
When you’re hired to solve a people problem addresses one such engagement, and how I handled it.

Believe it or not folks, sometimes there is a disconnect between management, and accounts payable. So I wrote
When clients don’t pay as a lesson & how I handled it.

Consulting is decidedly not the career path for everyone.
Why do people leave consulting
is my attempt to explain why some I’ve seen have left the business.

Everybody doesn’t love consultants. So
Do you heed John Greathouse – beware the consultant? That’s a question I attempted to answer.

Are you talking to Oracle or other technology sales teams about what solutions are right for your business?
Beware a wolf in sheeps clothing as it can be surprisingly dangerous field.

Another war story I wrote,
When apples & oranges bring down your business. Here a misunderstanding of semantics, means manager & dba make a severe misjudgement, and both pay the price.

After twenty years in the business, here are the
Top 3 questions I get from clients.

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Today’s startups: assemble at your own risk

devops divide

I was talking with Todd Hoff recently over at High Scalability about a trend I’ve seen of late.

ME: I really liked this post by Zoli Kahan from Clay.io.  AWS, cloudflare, docker, haproxy, mysql, mongo, memcache, ansible.  They use just about every technology being talked about these days.  

Todd: Yah, that’s why I asked to republish it. I thought it was a good updated sampler stack.

ME: That said I defy you to find a team that actually *KNOWS* all those technologies.  

Todd: Agreed. Systems are a lot of assembly these days, which doesn’t mean we know how to build the parts being assembled.

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The article I was referring to was: How Clay.io Built their 10x Arch Using AWS, Docker, HAProx & Lots More

1. Dizzying array of technologies in use

I’ve been working with startups since the mid-nineties. In those days most application stacks consisted of a PHP application running on Apache, with Oracle on the backend. Both webserver & db ran on Sun Solaris. Hardware was reliable. Most attention was focused on fitting everything in memory, and monitoring the servers for swapping, and disk failure. Boy have those days changed.

I see dozens of startups each year, so I see a lot of very cutting edge environments. Here’s a peak at what I’m seeing these days:

Database: MySQL, Postgres & Oracle, to Mongodb, Cassandra & Couchbase

Caching: Memcache or Redis

Search: Solr

Webservers: Apache, Nginx, Lighttpd

Load balancers: haproxy, Zen

Languages: PHP, Python & Ruby

Publishing: Drupal, WordPress, Joomla

Continuous Integration: Jenkins

Metrics: Cacti, collectd, NewRelic

Monitoring: Nagios, Ganglia, Munin, OpenNMS

Automation: Ancible, Chef, Puppet, Docker & Vagrant

Logs: Logstash

DDOS & CDN: Cloudflare, Ultradns

Whew… That’s a long list!! And we’re not even considering the API’s that many applications are now building on.

Also: Are generalists better at scaling the web?

2. Shortcuts abound

Startups early on, don’t have enough working capital to hire a huge engineering team. So that means everyone is stretched. With a list of technologies that is ever growing, something’s gotta give.

These may cut corners by handing the web & technical operations work to a developer who has some skills. But I continue to ask… Does a four-letter word divide dev & ops?

Read: Which tech do startups use most?

3. More things to break & master

Ownership of a software stack, such as a database means mastery of…

o features in current versions
o bugs of current versions
o vulnerabilities of various versions
o troubleshooting
o best practices
o backup & reliability

For example a lot of shops where I dig into the database, I find low hanging fruit, such as misconfigured startup settings, table layout or index usage.

I see similar things when a networking expert pours over the haproxy configuration, or runs ping tests across the network. Most of these components are setup with fairly vanilla configurations, leaving loose ends and frayed threads.

Check out: Why I can’t raise the bar at every firm

4. Many startups carrying technical debt

I’ve seen a growing reliance on ORM’s which is worrying. Build your foundation on a crutch, and it gets very hard to eliminate down the line. Here are Ward Cunningham’s warnings on technical debt.

Related: Are SQL Databases Dead?

5. Long term support & viability

At one five year old firm, I was brought in to address scalability problems. I met with the team and was asked to provide a comprehensive review. The first thing I found was all the original engineers had long since left, so the code was new for everyone. As I dug my heels in, I found multiple versions of Apache along with Nginx on some other servers. Their stack was built on a patchwork of Python, Ruby & PHP. Then digging in further, we found a complicated web of dependencies for digital assets, mounted across servers & unmonitored.

Lack of standards is common in environments like these. Without an operational or architectural lead, developers are left to make decisions with what is directly in front of them. Though a decision of what language to use may appear simple at the outset, it carries long term consequences.

Will that language or technology be supported in five years? Will the community survive? Will your firm be able to hire people with that skill set? Will engineers still be excited about it?

See also: Is high availability overrated? Is five nines a myth?

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5 things I learned from Gif Constable about Talking to Humans

talking to humans

I was just scanning through AVC.com, Fred Wilson’s popular blog, and hit on a post about great reading material. In it was mentioned a free e-book by Gif Constable called Talking to Humans.

Gif developed the Lean Launchpad curriculum, taught at Stanford, UC Berkeley, Columbia, UCSF, NYU & now hundreds of other universities worldwide.

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One of the main takeaways from that work is the idea of “getting out of the building”. It means essentially that before you get to far along with your idea, building your product, and too heavily vested and invested in one direction, go do real research with real potential customers.

Right from the beginning test your ideas, and talk to customers. It’s not easy, but if done right will be very revealing.

The book can be had for free at Talking To Humans as an e-book, or send it straight to your kindle for $0.99 cents! With a forward by Steve Blank & Tom Fishburne’s funny cartoons and at only 98 pages, it’s well worth an hour or two of your time.

More details on Gif’s blog.

1. How to be a detective

Getting out of the building and talking to people is hard. It’s messy. It’s going into the real world where customers may not understand or care about your product.

But that’s also exactly why you want to talk to people. You’ll get real raw perspectives.

Also be wary of talking to friends & family. They may have biases, and want to tell you what you want to hear.

While interviewing, beware of speculation in your own ideas and what your interview subjects are telling you. Ask for stories instead and tease out real behavior.

Read this: When clients don’t pay

2. Fight cognitive biases with metrics

We all have biases. We think are customers are soccer moms, or 20-somethings who like lattes. By calculating metrics, we find out which market segments actually want our product and why. Keep calculating metrics, and make conclusions from real data.

At the same time beware the dynamic of mistaking statistics for facts. Remain skeptical!

Check out: 5 ways startups misstep on scalability

GIFF CONSTABLE 03-SD from The GovLab on Vimeo.

3. Map out your business

There are a few models mentioned in the book for mapping your business. Choose your favorite:

Alexander Osterwalder’s business model canvas

Ash Maurya’s lean canvas

Also: Are SQL Databases Dead?

4. How a startup can fail

Startups can fail in a myriad of different ways. This business is not for the weary or faint of heart! Here are some of the land mines in the road ahead.

o wrong customer or market
o wrong revenue model
o wrong cost structure
o wrong customer acquisition
o wrong product
o wrong team
o wrong timing

Related: Will Oracle kill MySQL?

5. How to screw up customer discovery

Interviewing real customers in the field requires a lot of balance. Here are a few things you should avoid:

o let speculation equal confirmation
o lead the witness to your conclusion
o talk over them
o selective hearing
o weigh one conversation heavily
o let fear of rejection win
o talking to anyone
o be unprepared for the interview
o try to learn everything at once
o only do customer dev first week
o ask customer to design the product

See also: How can Vagrant be used to deploy on Amazon EC2

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5 Things I just learned from James Turnbull about Docker

docker containers

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I just got my hands on a copy of James Turnbull’s new book The Docker Book. It’s an excellent introduction to Linux containers & the powerful things you can do with them. It’s 335 pages covering all the introductory topics to get you up and running and then more advanced topics like working with the docker API, building services & extending docker.

Here’s what I learned…

1. Containers aren’t new

The technology today we call containers in Unix is based on chroot mechanism which was introduced way back in the 80′s.

With traditional virtualization, we use a hypervisor layer, so we emulate hardware. The virtual machine running on top, can run anything, from Windows, to different flavors & versions of unix. It appears to be a completely separate piece of hardware.

With containers we move up to the operating system level, and we create isolation between users. These users all share the same parent operating system. This means it requires dramatically less overhead. That means speed!

Docker is an automation layer built on Lightweight Linux Containers or LXC. To applications it looks like they have their own machine, their own userspace, their own filesystem, their own network.

Also: Is Apple betting against big data?

2. No more VirtualBoxes

Are you tired of waiting for your VMs to spinup? Building dev & test environments becomes lightening fast with Docker. This accelerates software development, and makes a lot of things easier.

Also: When prospects mislead

3. Images, registries & containers

Images share some of the properties of images in hypervisor virtualization. However they are implemented with union file systems. While VirtualBox images take some time to boot, as the entire filesystem must be read & code executed anew, docker images are more like source code to the LXC subsystem.

Registries store your public and private images. The Docker Hub is one popular one. You can also host & deploy your own docker registry as your needs dictate.

Like VMs, containers can be started & stopped at will, albeit at lightening fast speed. They can also be deleted much as a VM can be.

Also: What can new york fashion week teach Chad Dickerson about Net Neutrality?

4. Lightning fast sandboxes

As we mentioned containers are fast. Did we mention really fast?

This can facilitate unit testing & continuous integration. A lot of shops are starting to use Jenkins for continuous integration, and fast testing is key to this process.

Also: Is automation killing old-school technical operations?

5. They work with Vagrant

Are you already using Vagrant to automate deployment of virtual environments. If so the transition is easy. Here Docker becomes your provisioner.

Mark Stratmann put together a great how to, Implementing a Vagrant / Docker Dev environment which we’d recommend you take a look at. You can also head over to the Vagrant docs themselves.

Also: Which tech do startups use most?

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Is Apple betting against big data?

apple_android

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1. Pushing privacy

Apple has been pushing it’s privacy policy of late, in much of it’s marketing around the new iOS 8 and iPhone 6.

In particular Tim Cook takes direct aim at Google’s collection of user data:

“A few years ago, users of Internet services began to realize that when an online service is free, you’re not the customer. You’re the product. But at Apple, we believe a great customer experience shouldn’t come at the expense of your privacy.”

Read: Is Fred Wilson wrong about Apple?

2. Weak in cloud

It’s been quoted in various news that Apple is rather “weak” in the cloud. But digging a little deeper, this appears to be a deliberate strategy, a bet against using customer data in ways those end users may grow to resent.

Also: Is the Android ecosystem still broken?

3. The bet against open worked

Recall that Apple has had a fairly closed ecosystem since the beginning. This has kept their AppStore much cleaner, and free of malware. Reference the terrible problems that still plague the Android Play Store, from lack of policing.

Open also works as an iron fist on UI & UX, enforcing a consistency across apps and developers. This is a clear win for consumers and end users, even if they don’t understand the hows, whys and wherefores.

Related: No iPhones were harmed in the creation of this outage

4. Don’t monetize what you store in iCloud

Apple doesn’t directly monetize what is stored in iCloud. That means there’s no business imperative to make *use* of your data. They’re just storing it. This means they can also push encryption, a win for consumers, as it doesn’t bump heads with their business in any way.

Check this: What is mobile scalability & why is it important?

5. iAd has real privacy limits

Apple does have a platform called iAd. But even that has in-built limitations.

“iAd sticks to the same privacy policy that applies to every other Apple product. It doesn’t get data from Health and HomeKit, Maps, Siri, iMessage, your call history, or any iCloud service like Contacts or Mail, and you can always just opt out altogether.”

It’s unclear if all of these moves will help Apple in the marketplace. It remains to be seen if consumers will choose technology based on privacy concerns and fears.

Read this: How to increase newsletter signups with nifty iphone trick

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When prospects mislead

MUHAMMAD ALI ROCKS GEORGE FOREMAN ON THE JAW

While a story is fresh in ones mind, it’s a great time to tell it. And so I set out to putting pen to paper about a recent consulting war story.

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A financial services firm reached out to me, asking about services. We discussed the project plan, and the day after the call I sent along a quote. I suggested three options, a weekly fee, a monthly one, or monthly with advance payment.

They decided to go with option C, and we arranged a kickoff meeting.

1. Level setting on trust

I’ve done this kind of work for so long, and worked with so many clients over the years, that it sometimes becomes second nature. I arrived, and we chatted amicably. I asked him about his wikipedia page, which he seemed excited to talk about.

I was surprised that there wasn’t a check ready, as we had decided on advanced payment in full, but didn’t make a mention right away. He then tried to dial in his partner, but that just went to voicemail. So we continued the meeting without him.

I don’t know how important the meeting was to both team members, but they were both on the invite & emails. His partner never called back through the meeting either.

Read this: When migrating from Oracle to MySQL Prepare to Bushwack

2. Negotiations is part art & dance

Interestingly I had met up with some colleagues the night before over italian food. I mentioned I was meeting a new prospect the next day, but had reservations about whether they had really decided to hire me, or were just still prospecting.

So during the meeting I was somewhat conscious of that question. Are we already in exploratory, discovery mode? Has the project even begun? That’s a question, and from what I sensed it was still an open one.

As the meeting wore on, questions about oracle licenses, versions, and EC2 configurations came up. Furious note taking continues.

Related: Which tech do startups use most?

3. Time & mismanagement

One thing that comes up for me in these situations is questions of time management. In order to work with a new client, I must clear my schedule, and make time available. That has a value to start with. When it turns out a project isn’t actually ready yet, it becomes an awkward stumble out of the gates.

Also: Is automation killing the sysadmin job role?

4. Can you research this one thing

As I raised various concerns about Oracle, the data loader portion, and unknowns around how that software worked, the prospect asked if I could do a little research for them.

This is where things started to crack. Rather than answer the question, I made a more aggressive nod to the question on my mind: Have we really started on this project yet? I explained that I was confused, and gathered from our email this this was a kickoff meeting. The tension in the air rose noticeably.

He then explained “Well we’re still waiting to hear back from a vendor about XYZ”. From there I began to gather up my things.

Check this: What can fashion week teach Chad Dickerson about Net Neutrality?

5. Watch out for those Rothkos

As I stand up I comment on the digs. “Is this shared office space, those look like Rothkos?” I ask. “Nope this is all ours, my wife is a collector & art dealer. We have some real Warhol’s too”. “Wow…”, I respond, “tough business to be in!”. With that he says “Well it is very volatile, we can be out of business in a month.”

My take away here isn’t to be wary of all new prospects. Each person or business has their own *style* of doing business. Rather, until you’ve established trust with a new client, consider that you may not yet be working on the project at all.

And with that the dance continues. While you may wish to demonstrate and illustrate your knowledge, and the solutions you’d recommend, beware of solving the problem before you’re even hired!

Read: Are SQL Databases Dead?

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