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Toggle navigation Skip to content * Blog * How We Help * About 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 * * 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 * * * Copyright Concurrency Labs Ltd. 2023 Privacy Policy × ×