MongoDB: Excellent Free Open-source Cross-Platform Database

The explosive popularity of MongoDB is famous, as it has come in just a few years to represent the next generation of database technology. Large companies to the latest innovative startups are using it to build applications that weren’t possible before, and at a cost that’s much lower than with traditional databases. It now has more than a thousand service and technology partners, thousands of customers, and more than 10 million downloads.

The traditional database is relational, and it uses a table of rows and columns. But MongoDB is a document database with rich, recursive, N-dimensional objects for records. Essentially, you store your data in a document database in almost the same way it’s represented in your program.

KEY FEATURES

  • Form data: With MongoDB, it’s easy for you to evolve the structure of form data over a period of time.
  • Account and user profiles: You can easily store arrays of addresses.
  • CMS: With the flexible schema of MongoDB, you’ll have no trouble with heterogeneous collections of content types.
  • Messaging: You can vary message meta-data easily per message or message type. You won’t need to maintain separate collections or schemas.
  • Blogs / user-generated content: You can bunch data with complex relationships together in one object.
  • Structured log data: You can log data of any kind.
  • System configuration: You just have a nice object graph of configuration values. This is very natural in MongoDB.
  • Location-based data: MongoDB can handle geospatial coordinates and it natively supports geospatial indexing.
  • Graphs: You just have objects and pointers. It’s that simple.

Check out how Gitlab can help streamline your collaboration on your development team.

LA Startups Crew
Los Angeles Startups
Santa Monica, Culver City, Venice, Hollywood, and beyond
LAStartups.com is a digital lifestyle publication that covers the culture of startups and technology companies in Los Angeles. It is the go-to site for people who want to keep up with what matters in Los Angeles’ tech and startups from those who know the city best.
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LA Startups Crew
Santa Monica, Culver City, Venice, Hollywood, and beyond
LAStartups.com is a digital lifestyle publication that covers the culture of startups and technology companies in Los Angeles. It is the go-to site for people who want to keep up with what matters in Los Angeles’ tech and startups from those who know the city best.

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5 Best Instagram Tools to Help You Build Your Following in 2019

5 Best Instagram Tools to Help You Build Your Following in 2019

It’s true that it helps to be a celebrity if you want to amass lots of followers and likes on Instagram. The top Instagram accounts belong to celebs Taylor Swift, Selena Gomez, Kim Kardashian, Beyoncé, Ariana Grande, and Justin Bieber. But it’s all about making your Instagram feed a lot more engaging, and you can do that with the following tools to boost your following:

1. The Instagram Marketing Mastery Bundle

This is truly a complete package with a 5-way combined method of achieving Instagram fame. This teaches you how to build your presence on the Instagram platform that can reach a wider audience. The various components focus on advertising, affiliate marketing to monetize your success, and engagement techniques to garner greater interest. You have growth tips to boost your user base and content strategy lessons to help you decide on what to post. At $29, this is a steal.

2. Savvant Instagram Optimizer Famous Plan

Knowing what photos to post on Instagram is a crucial skill, and that’s just one of the things you learn with this plan. This is designed to boost your own creativity so that you’re able to pick on your own the most suitable photos and imagery. You’ll learn to come up with the most engaging copy, while you’re also able to pick the right keywords, filters, and hashtags that make your content easier to find. Detail about the plan here.

A lifetime subscription to the plan may seem like a long time, but then at a total cost of only $40 you surely get your money’s worth.

3. Planagram Agency Plan

This time you have to shell out $50, but this plan comes with handy tools that really save you a lot of time and effort. This comes with an automated scheduler so that your posts, galleries, and stories can be aired exactly when you want them to be. They can be posted at just the right time for your audience to see. Detail about the plan here.

It’s a great way you manage your posts, as it can schedule up to 10 images at once. In fact, it can help you to manage up to 25 different Instagram accounts!

4. piZap Pro

Sure, Instagram has built-in editing tools. But that doesn’t give you a leg up since everyone uses them too. With the piZap Pro, however, you get a lot more than the basic editing tools. You get hundreds of interesting fonts with ad-free access and royalty-free stock images. You can do collage layouts, stickers, and filters. There’s even a custom emoji maker so you can make your own unique emoticons. Detail about the plan here.

This is an editing suite with basically everything you need. In fact, you can use the included templates to create YouTube channel art and Facebook and Twitter cover photos.

5. Appz Instagram Assistant

This is a Google Chrome extension, and the lifetime subscription will cost about $40. It’s like hiring your very own personal assistant who’s an expert on building your brand. It can automatically like, comment or follow other posts or users with the same interests as you do. It also shows you a lot of stats to give you an idea of your progress. Detail about the plan here.

Founder, Editor-in-Chief
LAStartups.com, Schmoozd.com
A native Angeleno. John studied engineering at UCLA; founded Schmoozd, an offline social tech networking event in LA with 30,000 subs; ran a startup accelerator (StartEngine). Worked for several major brands like Toyota, DIRECTV, Hitachi, and Raytheon. A mentor at LMU Entrepreneur School. And advises a dozen local LA startups building amazing tech in various industries; also invested in some.
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LAStartups.com, Schmoozd.com
A native Angeleno. John studied engineering at UCLA; founded Schmoozd, an offline social tech networking event in LA with 30,000 subs; ran a startup accelerator (StartEngine). Worked for several major brands like Toyota, DIRECTV, Hitachi, and Raytheon. A mentor at LMU Entrepreneur School. And advises a dozen local LA startups building amazing tech in various industries; also invested in some.

Appz, a Smart Personal Assistant for Your Instagram

What is Appz and why should you use it?

If you have an Instagram account you know that managing and handling it can be quite the nuisance. You need to spend a lot of time writing comments, replying and talking with customers. That’s why you need every helping hand you can get. And it’s a good idea to try Appz if possible.

This is a really nice Instagram assistance that allows you to do the right amount of maintenance while also automating the processes that eat up so much of your time. What you will like the most about Appz is that it’s a personalized, brand-building assistant.

Once you install Appz, you can automate just about any Instagram process you can think of. It works great for auto-commenting, auto-following, and auto-liking as well. It works great if you want to acquire new followers too because it will like content created by people that have similar interests to you.

How can you use Appz?

The way Appz works is simple, you just need to add the desired hashtag and then it will do the rest for you. Appz will find people that share and access similar content and then you can engage with those persons in no time.

Not only that, but you can also monitor what Appz does via a dashboard. You can see things like engagement stats, activity statistics and so on. Every detail matters and with Appz you really get to have all the info you need in a comprehensive package. The interface is very easy to use and you can easily get a good idea of what people you need to reach, how to approach them and so on.

Appz does a very good job at optimizing your content since it works non-stop to find similar hashtags to the ones you are using and it also creates the best way for you to reach more people on Instagram. It’s nothing forced, everything is natural and it works exactly the way you want.

Why should you use Appz?

You should get the Appz Instagram Assistant: Lifetime Subscription because it makes it easier for you to find followers and generate more leads for your business. You also get to figure out what triggers the engagement, where you can find new followers and how you can promote your business even more. Plus, you can even drive up your likes, increase your reach and affiliate with influencers.

If you want to improve your Instagram presence and acquire more leads or customers, Appz is here to assist. It delivers great value and efficiency, and you will be amazed at how many followers you can get this way. Plus, Appz can be fully automated and it works non-stop for you in the background. Avail this great opportunity and check it out today!

Also, check out these 15 Hacks to Get More Instagram Followers

Founder, Editor-in-Chief
LAStartups.com, Schmoozd.com
A native Angeleno. John studied engineering at UCLA; founded Schmoozd, an offline social tech networking event in LA with 30,000 subs; ran a startup accelerator (StartEngine). Worked for several major brands like Toyota, DIRECTV, Hitachi, and Raytheon. A mentor at LMU Entrepreneur School. And advises a dozen local LA startups building amazing tech in various industries; also invested in some.
×
LAStartups.com, Schmoozd.com
A native Angeleno. John studied engineering at UCLA; founded Schmoozd, an offline social tech networking event in LA with 30,000 subs; ran a startup accelerator (StartEngine). Worked for several major brands like Toyota, DIRECTV, Hitachi, and Raytheon. A mentor at LMU Entrepreneur School. And advises a dozen local LA startups building amazing tech in various industries; also invested in some.

Can You Measure Software Developer Productivity?

Can You Measure Software Developer Productivity?

The cost of software development kills innovation by limiting resources available to solve problems

THE PRODUCTIVITY DILEMMA

Let’s face it – software development is expensive.  Really expensive.  It’s not hard to understand why – software development is a complicated and still-maturing industry, and as the sector grows, it actually gets more complicated, not less, because of the acceleration of changes in technologies, programming languages, and toolsets.

As a technology consultant, one who is paid to help build expensive, complex systems, I should be happier than a fanboy on a Fortnite bender about this trend, right?  Wrong – it frustrates me a great deal.  My job is to solve problems and build things that people need, and that gets harder when funding becomes a challenge for our clients.

So here’s the question I’ve been grappling with – how can we make software development more productive to reduce costs?

There are lots of things our industry has done over the preceding decades to tackle this problem:

  • Developed working methodologies to build repeatable practices – Waterfall, Unified Process, Agile, XP, etc.
  • Created design patterns to solve common problems – MVC, SOLID, GoF, and many others
  • Leveraged lower cost resources through offshoring

None of these have been a panacea.  Look at any enterprise and you’ll find competing for SDLC methodologies, loose adherence to design practices, and the common efficiency roadblocks due to offshoring.  While these efforts have been helpful in managing cost, it is very difficult to measure the effect they have really had.

MEASURING PRODUCTIVITY

What to do, then?  More than anything, the focus of productivity has to start with the most human element of all – the individual developer herself.  The focus has to be on how to increase the speed that a developer can turn a designed solution into working code with as few errors as possible.

Anyone who has been in the software industry knows there are broad ranges in developers’ productivity.   It depends on the individual’s ability to understand programming theory, their educational background, years of experience, a personal situation at the time, how much Fortnite they play, etc.

Why is this important?  Quite simply, time is money.  The longer it takes a developer to code a solution, the more it costs.  In today’s environment of nearly full employment, demand for software developers has never been higher, which brings a lot of varied talent into the picture to meet the demand.  Anyone who has hired a developer knows the productivity gap I’m talking about – hiring is an expensive proposition and no matter how much interviewing you do, and you’re never sure what sort of productivity you’ll get until that person gets to work.

Why is measuring productivity so hard?  Because a good measurement involves an apples-to-apples comparison between developers, yet they will almost never complete the same task to produce the same set of code.  Since every development task is different, we cannot establish a baseline for how long it SHOULD take to perform a task versus how long it WILL take a specific developer.  Throw in each person’s differing levels of experience, education, and general abilities with the discipline, and…you get the picture.

Does that mean we’re stuck with technical interviews, coding tests, and answered prayers to create a team of highly productive software engineers?  Not quite.  Agile practices give us an opportunity to solve the biggest challenge in measuring developer productivity – creating a baseline to measure the variance between the estimated and actual time to perform a coding task.

HOW IT WORKS

Every ALM tool – Jira, or otherwise – allows a Scrum team to create story sub-tasks during their planning sessions.  Usually, a developer assigned to a sub-task has an opportunity to estimate the time it should take to complete that task, measured in hours.  During the sprint, developers can then track the actual hours spent so the team can evaluate the variance between estimated and actual hours.

This variance isn’t particularly helpful as a productivity metric because the individual developer may be much faster or slower than the average, and their estimations likely reflect this bias.

The solution to this problem is to have all the developers on the Scrum team estimate each subtask duration, creating a proxy baseline and a more reasonable expectation of the task’s duration.  Then, once a task is assigned to the individual developer, the variance calculations can start to have some meaning.

What meaning are we to glean from this variance? When looking at large sets of variances (hundreds or thousands of tasks over multiple projects), we can observe patterns in individual developers’ productivity.  If they consistently take longer to complete a task than the established baseline, we can look more deeply at the data to find root causes and potential remediations.  Is there a skills mismatch, allocation mismatch, or something else?  Does the developer need more pair programming or training in specific areas?

If a developer consistently performs tasks in less time than the estimations, we have hard metrics to reward that individual and encourage continued productivity.  We can also look at the data to see how we might have other developers emulate good behaviors from these high performers.

IMPLICATIONS

I know I know – I can hear the complaints now.  A small group of 2-4 developers on a Scrum team estimating a task cannot be used as a valid baseline, you say.  It’s a fair point, but any leftover estimation bias from a small sample size of developers would be offset by the volume of variance data we would collect.  As a manager, I care more about the variance trends and less about the exactness of anyone variance calculation.

But wait, you say.  All of this supposes a developer will be truthful in reporting their actual duration on a task.  People lie to themselves and others all the time (just read “Everybody Lies” by Seth Stephens-Davidowitz) – if a developer knows they’ll be measured on variance, they’ll manipulate their actuals to improve their perceived productivity.

Again, fair point, but there is a self-policing solution to this problem.  An employee is generally expected to work 8 hours a day.  If a developer consistently under-reports their actual durations on a task, it would appear they were consistently working less than they should be.

Say a developer is assigned two 4-hour tasks, and he takes 1 day to complete both but only reports 2 hours of actual duration for each task.  We would see a report that shows him only working 4 hours that day.  With enough data points, we could easily spot a trend of under-reporting and take corrective action.

CONCLUSION

Why is all of this important?  As individuals, not just employees, we should all strive to improve ourselves every day.  That’s how society is supposed to work – we do things, we make mistakes, we learn from them and we grow in the process.  But we can’t improve what we can’t measure.  The method I describe is very easy to implement, as long as your team is following the Scrum ceremonies.  With simple metrics and trend analysis, maybe we can finally solve a difficult problem and leave ourselves more time to knock a few more things of that ever-growing to-do list.

Chad Hahn
Contributor
Optimity Advisors, Inc.
Chad Hahn is a partner overseeing the digital & technology practice at Optimity Advisors. He is an entrepreneur with 20 years of experience in strategy, business development, operations, and technology, and has started and sold two successful service businesses. He has a strong background in software engineering and enterprise architecture, with deep expertise in both traditional and emerging technologies.
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Chad Hahn
Optimity Advisors, Inc.
Chad Hahn is a partner overseeing the digital & technology practice at Optimity Advisors. He is an entrepreneur with 20 years of experience in strategy, business development, operations, and technology, and has started and sold two successful service businesses. He has a strong background in software engineering and enterprise architecture, with deep expertise in both traditional and emerging technologies.