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WE HELP YOU LAUNCH AND GROW YOUR APPLICATIONS ON AWS

How we do it



WHAT PROBLEM DO WE SOLVE?

You're running a company with big plans for growth. You've chosen Amazon Web
Services to power your applications and now you're either building, migrating or
already operating your applications on AWS.

Growing applications is hard. You'll have more customers and it'll be more
difficult to give them a fast experience. Your AWS bill will go up. You'll have
a bigger team and more feature requests coming in. There will be more points of
failure and greater consequences when your applications fail. Inefficiencies
will be amplified.

On the other hand, AWS is the most powerful cloud platform in the world - but
it's complicated. There are more than 200 AWS products today and there are new
features announced every week. There close to 2,300 AWS product announcements in
2020 alone!

Without a good process and the right AWS expertise, it's very easy to run
applications that cost you more than they should, can't handle your business
volume or are vulnerable to eventual outages or security breaches.

Concurrency Labs helps your company grow on AWS by bringing strong AWS expertise
and a methodology that simplifies finding the right AWS components for your
applications.

How we do it


OUR PRINCIPLES FOR GROWING YOUR APPLICATIONS ON AWS

When your company grows, having AWS knowledge alone won’t be enough. You will
need documented, repeatable processes. The sooner you adopt them, the easier
things will be for you.


BUSINESS FIRST, AWS LATER

When we optimize AWS, we’re really optimizing your business. As much as we like
tweaking AWS components, it is essential that first we take a close look at your
business. That’s why before doing any technical work, we first identify,
quantify and prioritize tasks based on your business flows and growth goals.


METHODOLOGY

AWS is complicated. There are too many knobs to turn. Even with the right
technical knowledge, the probability of missing something critical is high.
That’s why we follow a methodology, which consists of a series of documented,
repeatable steps.


QUANTIFIABLE GOALS

Early in our planning process, we define quantifiable system goals. Goals must
reflect the right balance of Performance, Price and Availability for your
business. As we progress through the steps in our methodology, we measure
results against those goals. We don’t stop until all goals are met.


SHORT ITERATIONS

It is very important for everyone that you see results as quickly as possible.
That’s why our goals are contained within short iterations (12 weeks or less).
If a goal cannot be achieved in this period of time, we break it down or make
adjustments. We do this at the beginning of the planning process.

More about our methodology


LATEST ARTICLES


HOW TO OPERATE RELIABLE AWS LAMBDA APPLICATIONS IN PRODUCTION


HOW TO CUT YOUR AWS BILL WITH SAVINGS PLANS (AND AVOID SOME COMMON MISTAKES)


QUERYING 15 BILLION RECORDS - A TPC-H/TPC-DS PERFORMANCE COMPARISON BETWEEN
STARBURST ENTERPRISE AND A DATA LAKEHOUSE PLATFORM


QUERYING 6.35 BILLION RECORDS - A TPC-DS PERFORMANCE AND COST COMPARISON BETWEEN
BIG DATA PLATFORMS STARBURST ENTERPRISE AND EMR SQL ENGINES


HOW TO FIX YOUR AWS COST PROBLEMS IN 5 SIMPLE STEPS


PART IV: REDSHIFT - THE ULTIMATE GUIDE TO SAVING MONEY WITH AWS RESERVED
"ANYTHING"


PART III: EMR - THE ULTIMATE GUIDE TO SAVING MONEY WITH AWS RESERVED "ANYTHING"


HOW THE AWS BACKUP SERVICE CAN SIMPLIFY YOUR DATA BACKUP CONFIGURATION AND
MANAGEMENT.


PART II: RDS - THE ULTIMATE GUIDE TO SAVING MONEY WITH AWS RESERVED "ANYTHING"


MORE OPTIONS FOR SERVERLESS WORKFLOWS IN AWS - STEP FUNCTIONS INTEGRATIONS


PART I: EC2 - THE ULTIMATE GUIDE TO SAVING MONEY WITH AWS RESERVED "ANYTHING"


QUERYING 8.66 BILLION RECORDS, PART II - A PERFORMANCE AND COST COMPARISON
BETWEEN STARBURST PRESTO AND EMR SQL ENGINES


QUERYING 8.66 BILLION RECORDS - A PERFORMANCE AND COST COMPARISON BETWEEN
STARBURST PRESTO AND REDSHIFT


HOW TO CUT YOUR S3 COST IN HALF BY USING THE S3 INFREQUENT ACCESS STORAGE CLASS


HOW TO USE AWS ELASTIC FILE SYSTEM TO FINALLY MIGRATE YOUR WEB APPLICATIONS TO
THE CLOUD


TRY OUT MISERBOT - A FUN AND EFFECTIVE WAY TO SAVE MONEY ON YOUR AWS BILL


NOW YOU CAN CALCULATE AWS COST IN NEAR REAL-TIME FOR YOUR SERVERLESS
APPLICATIONS


USE THESE TOOLS TO KEEP YOUR AWS LAMBDA COST UNDER CONTROL.


USING ATHENA TO SAVE MONEY ON YOUR AWS BILL


TAKEAWAYS FROM THE S3 OUTAGE ON FEBRUARY 28TH, 2017.


HOW TO USE AWS QUICKSIGHT TO DO AWS COST OPTIMIZATION (AND SAVE A LOT OF MONEY)


14 COMMON MISTAKES THAT WILL DERAIL YOUR APPLICATION'S GROWTH ON AWS.


HOW TO USE THE NEW RE:INVENT 2016 FEATURES TO OPTIMIZE YOUR AWS APPLICATIONS


TURBOCHARGE YOUR LOCUST LOAD TESTS BY EXPORTING RESULTS TO CLOUDWATCH


HOW TO KNOW IF AN AWS SERVICE IS RIGHT FOR YOU


KNOW HOW MUCH YOUR EC2 APPLICATION WILL COST YOU, IN NEAR REAL-TIME, USING THIS
LAMBDA FUNCTION.


ARE YOU HIRING AWS CLOUD ENGINEERS? HERE ARE SOME TIPS ON WHAT TO LOOK FOR...


SAVE YOURSELF A LOT OF PAIN (AND MONEY) BY CHOOSING YOUR AWS REGION WISELY


DO YOU GRANT THIRD PARTIES ACCESS TO YOUR AWS ACCOUNT... DO YOU ALSO WANT TO
KNOW WHAT'S GOING ON? USE CLOUDTRAIL AND THE AWS ELASTICSEARCH SERVICE


HOW TO FIND AN OPTIMAL EC2 CONFIGURATION IN 5 STEPS (WITH ACTUAL PERFORMANCE
TESTS AND RESULTS)


HOW I MADE A TINY T2.NANO EC2 INSTANCE HANDLE THOUSANDS OF MONTHLY VISITORS
USING CLOUDFRONT


HATCH A SWARM OF AWS IOT THINGS USING LOCUST, EC2 AND GET YOUR IOT APPLICATION
READY FOR PRIME TIME


HOW MUCH TIME DO I HAVE LEFT BEFORE MY INSTANCE RUNS OUT OF CPU CREDITS?


CONFIGURE YOUR LAMBDA FUNCTIONS LIKE A CHAMP AND LET YOUR CODE SAIL SMOOTHLY TO
PRODUCTION


PUBLISH JMETER RESULTS TO AWS CLOUDWATCH AND GET READY FOR PERFORMANCE TEST
AUTOMATION.


ABOUT


ERNESTO MARQUEZ

Owner and Project Director
 * 
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I am an AWS Certified Solutions Architect and bring 20+ years of experience in
the tech industry, including working for AWS as a Software Development Manager.
More about me


CONTACT...

Send Message

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