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7 REASONS WHY YOU SHOULD CONSIDER A DATA LAKE 1. Building a staging area for your data warehouse. A data lake doesn’t need to be the end destination of your data. Data is constantly flowing, moving, changing its form and shape. A modern data platform should facilitate the ease of ingestion and discoverability, while at the same time allowing for a thorough and rigorous structure for reporting needs. WHY USE API GATEWAY? PROS & CONS An API Gateways Provides flexibility to use completely independent protocols allowing your microservices to communicate among themselves with ease. They allow developers to access the functionality of a subset of architecture in many different ways, without ever exposing the endpoints publicly. It doesn’t matter if you are usingmicroservices
USING API GATEWAY TO RUN DATABASE QUERIES The direct integration between API and database is perfect when Lambda serves only as an intermediator. It can improve performance and reduce costs by removing the – sometimes unnecessary – compute layer provided by Lambda. In the case of a DynamoDB table, AWS already exposes HTTP endpoints that clients could use to run queries. WHAT IS A SERVERLESS DATABASE? AN INTRODUCTION To put it simply, serverless computing is a cloud computing execution model meaning that the cloud provider is dynamically managing the distribution of computer’s resources. What’s taking up valuable computing resources is the function execution. Both AWS and Azure charge more if you have a combination of allocated memory and thefunction
DEPLOYING AWS LAMBDA WITH DOCKER CONTAINERS: I GAVE IT A The best part of developing your Lambda functions with a container image is the dev/prod environment parity. You can easily test your code locally with Docker before deploying your code to AWS. Your local containerized environment is identical to the one you will be using later in production. This is possible due to a web-server environment APPLICATION LOAD BALANCER VS API GATEWAY SERVERLESS DESIGN PATTERNS GUIDE The serverless function backend can scale very fast but the Database cannot. Using a queue allows keeping the database load within a certain level, regardless of how many requests the Serverless function receives. This solution is only viable when the scale mismatch is temporary, otherwise the queue can grow indefinitely and become abottleneck.
MONGODB VS DYNAMODB: 8 BASIC COMPARISONS Both DynamoDB and MongoDB are NoSQL databases, but the similarities probably end there. In this article, we cover their strengths and weaknesses in 8 basic categories, so that you can decide which one suits best your needs. HOW TO DEPLOY A NODE.JS APPLICATION TO AWS LAMBDA USING Jump over to your terminal and run the commands below. $ mkdir serverless-nodejs-app && cd serverless-nodejs-app. Awesome, now what’s left is to run the create command to generate some starter code for us. This is called a serverless service. $ sls create -t aws-nodejs -n serverless-nodejs-app. MONITOR SERVERLESS APPLICATIONS AT ANY SCALE Specialized debugging and analytics for AWS Lambda. Dashbird finds known and unknown Lambda errors and warning signs automatically, identifies the root-cause and alerts you in seconds. Its centralized monitoring dashboard provides the quickest and easiest way to: – analyze and search your AWS Lambda logs. – optimize performance andcost.
7 REASONS WHY YOU SHOULD CONSIDER A DATA LAKE 1. Building a staging area for your data warehouse. A data lake doesn’t need to be the end destination of your data. Data is constantly flowing, moving, changing its form and shape. A modern data platform should facilitate the ease of ingestion and discoverability, while at the same time allowing for a thorough and rigorous structure for reporting needs. WHY USE API GATEWAY? PROS & CONS An API Gateways Provides flexibility to use completely independent protocols allowing your microservices to communicate among themselves with ease. They allow developers to access the functionality of a subset of architecture in many different ways, without ever exposing the endpoints publicly. It doesn’t matter if you are usingmicroservices
USING API GATEWAY TO RUN DATABASE QUERIES The direct integration between API and database is perfect when Lambda serves only as an intermediator. It can improve performance and reduce costs by removing the – sometimes unnecessary – compute layer provided by Lambda. In the case of a DynamoDB table, AWS already exposes HTTP endpoints that clients could use to run queries. WHAT IS A SERVERLESS DATABASE? AN INTRODUCTION To put it simply, serverless computing is a cloud computing execution model meaning that the cloud provider is dynamically managing the distribution of computer’s resources. What’s taking up valuable computing resources is the function execution. Both AWS and Azure charge more if you have a combination of allocated memory and thefunction
DEPLOYING AWS LAMBDA WITH DOCKER CONTAINERS: I GAVE IT A The best part of developing your Lambda functions with a container image is the dev/prod environment parity. You can easily test your code locally with Docker before deploying your code to AWS. Your local containerized environment is identical to the one you will be using later in production. This is possible due to a web-server environment APPLICATION LOAD BALANCER VS API GATEWAY SERVERLESS DESIGN PATTERNS GUIDE The serverless function backend can scale very fast but the Database cannot. Using a queue allows keeping the database load within a certain level, regardless of how many requests the Serverless function receives. This solution is only viable when the scale mismatch is temporary, otherwise the queue can grow indefinitely and become abottleneck.
MONGODB VS DYNAMODB: 8 BASIC COMPARISONS Both DynamoDB and MongoDB are NoSQL databases, but the similarities probably end there. In this article, we cover their strengths and weaknesses in 8 basic categories, so that you can decide which one suits best your needs. HOW TO DEPLOY A NODE.JS APPLICATION TO AWS LAMBDA USING Jump over to your terminal and run the commands below. $ mkdir serverless-nodejs-app && cd serverless-nodejs-app. Awesome, now what’s left is to run the create command to generate some starter code for us. This is called a serverless service. $ sls create -t aws-nodejs -n serverless-nodejs-app. MONITOR SERVERLESS APPLICATIONS AT ANY SCALE Specialized debugging and analytics for AWS Lambda. Dashbird finds known and unknown Lambda errors and warning signs automatically, identifies the root-cause and alerts you in seconds. Its centralized monitoring dashboard provides the quickest and easiest way to: – analyze and search your AWS Lambda logs. – optimize performance andcost.
AWS STEP FUNCTIONS DEBUGGING WITH EASE Dashbird finds Step Functions errors automatically, alerts you in seconds and identifies the root-cause, so that you can jump straight in and fix it. Code exceptions and service-specific failures from logs; Critical metric checks for all AWS services covered; Warning level notifications for metrics; Custom alerts for metrics – stay on top of what matters to you! EASILY MONITOR AND ANALYZE AWS DYNAMODB ERRORS Dashbird finds DynamoDB errors automatically, alerts you in seconds, and identifies the root cause, so that you can jump straight in and fix it. Code exceptions and service-specific failures from logs; Critical metric checks for all AWS services covered; Warning level notifications for metrics; Custom alerts for metrics – stay on top of what matters to you! IS REAL-TIME PROCESSING WORTH IT FOR YOUR ANALYTICAL USE Minutely scheduled jobs. An alternative to a continuously running script is a service that is scheduled to run every minute.The benefit of this approach is that it allows you to treat this near real-time process as a batch job, which simplifies your architecture.You can think of it as a reversed Kappa architecture: while Kappa processes batch in the same way as real-time data (streaming-first AWS DYNAMODB DEBUGGING & TROUBLESHOOTING WITH EASE Dashbird finds DynamoDB errors automatically, alerts you in seconds and identifies the root-cause, so that you can jump straight in and fix it. Code exceptions and service-specific failures from logs; Critical metric checks for all AWS services covered; Warning level notifications for metrics; Custom alerts for metrics – stay on top of what matters to you! AWS SQS DEBUGGING & TROUBLESHOOTING WITH EASE Debugging and troubleshooting AWS SQS queues have never been so simple. Debug and analyze AWS data 80% faster and cheaper with our SOC 2 compliant dashboard. AWS KINESIS DEBUGGING & TROUBLESHOOTING WITH EASE Dashbird finds Lambda errors automatically, alerts you in seconds, and identifies the root cause, so that you can jump straight in and fix it. Code exceptions and service-specific failures from logs; Critical metric checks for all AWS services covered; Warning level notifications for metrics; Custom alerts for metrics – stay on top of what matters to you! EASILY MONITOR, DEBUG AND ANALYZE AWS KINESIS ERRORS Easily monitor and analyze AWS Kinesis errors. Dashbird is the #1 centralized observability platform for monitoring and alerting for AWSKinesis.
DASHBIRD USER MANAGEMENT: THE GUIDE Managing users. Users and permissions can only be managed by the organization owner.Users&Permissions can be found under “Settings”-> “Organization” –> “Users & permissions”.. In this section you can: Add new users THE BIGGEST COMPANIES USING SERVERLESS RIGHT NOW At AWS Re-invent, Coca-Cola’s Michael Connor talks about how a few case studies they made where the result was clear that by using serverless they would cut down costs by 65%. 5. Nordstrom. Nordstrom is an American-based chain of department stores, headquartered in Seattle. The company was founded over a hundred years ago and has beenon the
MONITOR SERVERLESS APPLICATIONS AT ANY SCALE Specialized debugging and analytics for AWS Lambda. Dashbird finds known and unknown Lambda errors and warning signs automatically, identifies the root-cause and alerts you in seconds. Its centralized monitoring dashboard provides the quickest and easiest way to: – analyze and search your AWS Lambda logs. – optimize performance andcost.
7 REASONS WHY YOU SHOULD CONSIDER A DATA LAKE 1. Building a staging area for your data warehouse. A data lake doesn’t need to be the end destination of your data. Data is constantly flowing, moving, changing its form and shape. A modern data platform should facilitate the ease of ingestion and discoverability, while at the same time allowing for a thorough and rigorous structure for reporting needs. WHY USE API GATEWAY? PROS & CONS An API Gateways Provides flexibility to use completely independent protocols allowing your microservices to communicate among themselves with ease. They allow developers to access the functionality of a subset of architecture in many different ways, without ever exposing the endpoints publicly. It doesn’t matter if you are usingmicroservices
USING API GATEWAY TO RUN DATABASE QUERIES The direct integration between API and database is perfect when Lambda serves only as an intermediator. It can improve performance and reduce costs by removing the – sometimes unnecessary – compute layer provided by Lambda. In the case of a DynamoDB table, AWS already exposes HTTP endpoints that clients could use to run queries. WHAT IS A SERVERLESS DATABASE? AN INTRODUCTION To put it simply, serverless computing is a cloud computing execution model meaning that the cloud provider is dynamically managing the distribution of computer’s resources. What’s taking up valuable computing resources is the function execution. Both AWS and Azure charge more if you have a combination of allocated memory and thefunction
DEPLOYING AWS LAMBDA WITH DOCKER CONTAINERS: I GAVE IT A The best part of developing your Lambda functions with a container image is the dev/prod environment parity. You can easily test your code locally with Docker before deploying your code to AWS. Your local containerized environment is identical to the one you will be using later in production. This is possible due to a web-server environment APPLICATION LOAD BALANCER VS API GATEWAY SERVERLESS DESIGN PATTERNS GUIDE The serverless function backend can scale very fast but the Database cannot. Using a queue allows keeping the database load within a certain level, regardless of how many requests the Serverless function receives. This solution is only viable when the scale mismatch is temporary, otherwise the queue can grow indefinitely and become abottleneck.
MONGODB VS DYNAMODB: 8 BASIC COMPARISONS Both DynamoDB and MongoDB are NoSQL databases, but the similarities probably end there. In this article, we cover their strengths and weaknesses in 8 basic categories, so that you can decide which one suits best your needs. HOW TO DEPLOY A NODE.JS APPLICATION TO AWS LAMBDA USING Jump over to your terminal and run the commands below. $ mkdir serverless-nodejs-app && cd serverless-nodejs-app. Awesome, now what’s left is to run the create command to generate some starter code for us. This is called a serverless service. $ sls create -t aws-nodejs -n serverless-nodejs-app. MONITOR SERVERLESS APPLICATIONS AT ANY SCALE Specialized debugging and analytics for AWS Lambda. Dashbird finds known and unknown Lambda errors and warning signs automatically, identifies the root-cause and alerts you in seconds. Its centralized monitoring dashboard provides the quickest and easiest way to: – analyze and search your AWS Lambda logs. – optimize performance andcost.
7 REASONS WHY YOU SHOULD CONSIDER A DATA LAKE 1. Building a staging area for your data warehouse. A data lake doesn’t need to be the end destination of your data. Data is constantly flowing, moving, changing its form and shape. A modern data platform should facilitate the ease of ingestion and discoverability, while at the same time allowing for a thorough and rigorous structure for reporting needs. WHY USE API GATEWAY? PROS & CONS An API Gateways Provides flexibility to use completely independent protocols allowing your microservices to communicate among themselves with ease. They allow developers to access the functionality of a subset of architecture in many different ways, without ever exposing the endpoints publicly. It doesn’t matter if you are usingmicroservices
USING API GATEWAY TO RUN DATABASE QUERIES The direct integration between API and database is perfect when Lambda serves only as an intermediator. It can improve performance and reduce costs by removing the – sometimes unnecessary – compute layer provided by Lambda. In the case of a DynamoDB table, AWS already exposes HTTP endpoints that clients could use to run queries. WHAT IS A SERVERLESS DATABASE? AN INTRODUCTION To put it simply, serverless computing is a cloud computing execution model meaning that the cloud provider is dynamically managing the distribution of computer’s resources. What’s taking up valuable computing resources is the function execution. Both AWS and Azure charge more if you have a combination of allocated memory and thefunction
DEPLOYING AWS LAMBDA WITH DOCKER CONTAINERS: I GAVE IT A The best part of developing your Lambda functions with a container image is the dev/prod environment parity. You can easily test your code locally with Docker before deploying your code to AWS. Your local containerized environment is identical to the one you will be using later in production. This is possible due to a web-server environment APPLICATION LOAD BALANCER VS API GATEWAY SERVERLESS DESIGN PATTERNS GUIDE The serverless function backend can scale very fast but the Database cannot. Using a queue allows keeping the database load within a certain level, regardless of how many requests the Serverless function receives. This solution is only viable when the scale mismatch is temporary, otherwise the queue can grow indefinitely and become abottleneck.
MONGODB VS DYNAMODB: 8 BASIC COMPARISONS Both DynamoDB and MongoDB are NoSQL databases, but the similarities probably end there. In this article, we cover their strengths and weaknesses in 8 basic categories, so that you can decide which one suits best your needs. HOW TO DEPLOY A NODE.JS APPLICATION TO AWS LAMBDA USING Jump over to your terminal and run the commands below. $ mkdir serverless-nodejs-app && cd serverless-nodejs-app. Awesome, now what’s left is to run the create command to generate some starter code for us. This is called a serverless service. $ sls create -t aws-nodejs -n serverless-nodejs-app. MONITOR SERVERLESS APPLICATIONS AT ANY SCALE Specialized debugging and analytics for AWS Lambda. Dashbird finds known and unknown Lambda errors and warning signs automatically, identifies the root-cause and alerts you in seconds. Its centralized monitoring dashboard provides the quickest and easiest way to: – analyze and search your AWS Lambda logs. – optimize performance andcost.
AWS STEP FUNCTIONS DEBUGGING WITH EASE Dashbird finds Step Functions errors automatically, alerts you in seconds and identifies the root-cause, so that you can jump straight in and fix it. Code exceptions and service-specific failures from logs; Critical metric checks for all AWS services covered; Warning level notifications for metrics; Custom alerts for metrics – stay on top of what matters to you! EASILY MONITOR AND ANALYZE AWS DYNAMODB ERRORS Dashbird finds DynamoDB errors automatically, alerts you in seconds, and identifies the root cause, so that you can jump straight in and fix it. Code exceptions and service-specific failures from logs; Critical metric checks for all AWS services covered; Warning level notifications for metrics; Custom alerts for metrics – stay on top of what matters to you! IS REAL-TIME PROCESSING WORTH IT FOR YOUR ANALYTICAL USE Minutely scheduled jobs. An alternative to a continuously running script is a service that is scheduled to run every minute.The benefit of this approach is that it allows you to treat this near real-time process as a batch job, which simplifies your architecture.You can think of it as a reversed Kappa architecture: while Kappa processes batch in the same way as real-time data (streaming-first AWS DYNAMODB DEBUGGING & TROUBLESHOOTING WITH EASE Dashbird finds DynamoDB errors automatically, alerts you in seconds and identifies the root-cause, so that you can jump straight in and fix it. Code exceptions and service-specific failures from logs; Critical metric checks for all AWS services covered; Warning level notifications for metrics; Custom alerts for metrics – stay on top of what matters to you! AWS SQS DEBUGGING & TROUBLESHOOTING WITH EASE Debugging and troubleshooting AWS SQS queues have never been so simple. Debug and analyze AWS data 80% faster and cheaper with our SOC 2 compliant dashboard. AWS KINESIS DEBUGGING & TROUBLESHOOTING WITH EASE Dashbird finds Lambda errors automatically, alerts you in seconds, and identifies the root cause, so that you can jump straight in and fix it. Code exceptions and service-specific failures from logs; Critical metric checks for all AWS services covered; Warning level notifications for metrics; Custom alerts for metrics – stay on top of what matters to you! EASILY MONITOR, DEBUG AND ANALYZE AWS KINESIS ERRORS Easily monitor and analyze AWS Kinesis errors. Dashbird is the #1 centralized observability platform for monitoring and alerting for AWSKinesis.
DASHBIRD USER MANAGEMENT: THE GUIDE Managing users. Users and permissions can only be managed by the organization owner.Users&Permissions can be found under “Settings”-> “Organization” –> “Users & permissions”.. In this section you can: Add new users THE BIGGEST COMPANIES USING SERVERLESS RIGHT NOW At AWS Re-invent, Coca-Cola’s Michael Connor talks about how a few case studies they made where the result was clear that by using serverless they would cut down costs by 65%. 5. Nordstrom. Nordstrom is an American-based chain of department stores, headquartered in Seattle. The company was founded over a hundred years ago and has beenon the
MONITOR SERVERLESS APPLICATIONS AT ANY SCALE Specialized debugging and analytics for AWS Lambda. Dashbird finds known and unknown Lambda errors and warning signs automatically, identifies the root-cause and alerts you in seconds. Its centralized monitoring dashboard provides the quickest and easiest way to: – analyze and search your AWS Lambda logs. – optimize performance andcost.
7 REASONS WHY YOU SHOULD CONSIDER A DATA LAKE 1. Building a staging area for your data warehouse. A data lake doesn’t need to be the end destination of your data. Data is constantly flowing, moving, changing its form and shape. A modern data platform should facilitate the ease of ingestion and discoverability, while at the same time allowing for a thorough and rigorous structure for reporting needs. WHY USE API GATEWAY? PROS & CONS An API Gateways Provides flexibility to use completely independent protocols allowing your microservices to communicate among themselves with ease. They allow developers to access the functionality of a subset of architecture in many different ways, without ever exposing the endpoints publicly. It doesn’t matter if you are usingmicroservices
USING API GATEWAY TO RUN DATABASE QUERIES The direct integration between API and database is perfect when Lambda serves only as an intermediator. It can improve performance and reduce costs by removing the – sometimes unnecessary – compute layer provided by Lambda. In the case of a DynamoDB table, AWS already exposes HTTP endpoints that clients could use to run queries. WHAT IS A SERVERLESS DATABASE? AN INTRODUCTION To put it simply, serverless computing is a cloud computing execution model meaning that the cloud provider is dynamically managing the distribution of computer’s resources. What’s taking up valuable computing resources is the function execution. Both AWS and Azure charge more if you have a combination of allocated memory and thefunction
DEPLOYING AWS LAMBDA WITH DOCKER CONTAINERS: I GAVE IT A The best part of developing your Lambda functions with a container image is the dev/prod environment parity. You can easily test your code locally with Docker before deploying your code to AWS. Your local containerized environment is identical to the one you will be using later in production. This is possible due to a web-server environment APPLICATION LOAD BALANCER VS API GATEWAY SERVERLESS DESIGN PATTERNS GUIDE The serverless function backend can scale very fast but the Database cannot. Using a queue allows keeping the database load within a certain level, regardless of how many requests the Serverless function receives. This solution is only viable when the scale mismatch is temporary, otherwise the queue can grow indefinitely and become abottleneck.
MONGODB VS DYNAMODB: 8 BASIC COMPARISONS Both DynamoDB and MongoDB are NoSQL databases, but the similarities probably end there. In this article, we cover their strengths and weaknesses in 8 basic categories, so that you can decide which one suits best your needs. HOW TO DEPLOY A NODE.JS APPLICATION TO AWS LAMBDA USING Jump over to your terminal and run the commands below. $ mkdir serverless-nodejs-app && cd serverless-nodejs-app. Awesome, now what’s left is to run the create command to generate some starter code for us. This is called a serverless service. $ sls create -t aws-nodejs -n serverless-nodejs-app. MONITOR SERVERLESS APPLICATIONS AT ANY SCALE Specialized debugging and analytics for AWS Lambda. Dashbird finds known and unknown Lambda errors and warning signs automatically, identifies the root-cause and alerts you in seconds. Its centralized monitoring dashboard provides the quickest and easiest way to: – analyze and search your AWS Lambda logs. – optimize performance andcost.
7 REASONS WHY YOU SHOULD CONSIDER A DATA LAKE 1. Building a staging area for your data warehouse. A data lake doesn’t need to be the end destination of your data. Data is constantly flowing, moving, changing its form and shape. A modern data platform should facilitate the ease of ingestion and discoverability, while at the same time allowing for a thorough and rigorous structure for reporting needs. WHY USE API GATEWAY? PROS & CONS An API Gateways Provides flexibility to use completely independent protocols allowing your microservices to communicate among themselves with ease. They allow developers to access the functionality of a subset of architecture in many different ways, without ever exposing the endpoints publicly. It doesn’t matter if you are usingmicroservices
USING API GATEWAY TO RUN DATABASE QUERIES The direct integration between API and database is perfect when Lambda serves only as an intermediator. It can improve performance and reduce costs by removing the – sometimes unnecessary – compute layer provided by Lambda. In the case of a DynamoDB table, AWS already exposes HTTP endpoints that clients could use to run queries. WHAT IS A SERVERLESS DATABASE? AN INTRODUCTION To put it simply, serverless computing is a cloud computing execution model meaning that the cloud provider is dynamically managing the distribution of computer’s resources. What’s taking up valuable computing resources is the function execution. Both AWS and Azure charge more if you have a combination of allocated memory and thefunction
DEPLOYING AWS LAMBDA WITH DOCKER CONTAINERS: I GAVE IT A The best part of developing your Lambda functions with a container image is the dev/prod environment parity. You can easily test your code locally with Docker before deploying your code to AWS. Your local containerized environment is identical to the one you will be using later in production. This is possible due to a web-server environment APPLICATION LOAD BALANCER VS API GATEWAY SERVERLESS DESIGN PATTERNS GUIDE The serverless function backend can scale very fast but the Database cannot. Using a queue allows keeping the database load within a certain level, regardless of how many requests the Serverless function receives. This solution is only viable when the scale mismatch is temporary, otherwise the queue can grow indefinitely and become abottleneck.
MONGODB VS DYNAMODB: 8 BASIC COMPARISONS Both DynamoDB and MongoDB are NoSQL databases, but the similarities probably end there. In this article, we cover their strengths and weaknesses in 8 basic categories, so that you can decide which one suits best your needs. HOW TO DEPLOY A NODE.JS APPLICATION TO AWS LAMBDA USING Jump over to your terminal and run the commands below. $ mkdir serverless-nodejs-app && cd serverless-nodejs-app. Awesome, now what’s left is to run the create command to generate some starter code for us. This is called a serverless service. $ sls create -t aws-nodejs -n serverless-nodejs-app. MONITOR SERVERLESS APPLICATIONS AT ANY SCALE Specialized debugging and analytics for AWS Lambda. Dashbird finds known and unknown Lambda errors and warning signs automatically, identifies the root-cause and alerts you in seconds. Its centralized monitoring dashboard provides the quickest and easiest way to: – analyze and search your AWS Lambda logs. – optimize performance andcost.
AWS STEP FUNCTIONS DEBUGGING WITH EASE Dashbird finds Step Functions errors automatically, alerts you in seconds and identifies the root-cause, so that you can jump straight in and fix it. Code exceptions and service-specific failures from logs; Critical metric checks for all AWS services covered; Warning level notifications for metrics; Custom alerts for metrics – stay on top of what matters to you! EASILY MONITOR AND ANALYZE AWS DYNAMODB ERRORS Dashbird finds DynamoDB errors automatically, alerts you in seconds, and identifies the root cause, so that you can jump straight in and fix it. Code exceptions and service-specific failures from logs; Critical metric checks for all AWS services covered; Warning level notifications for metrics; Custom alerts for metrics – stay on top of what matters to you! IS REAL-TIME PROCESSING WORTH IT FOR YOUR ANALYTICAL USE Minutely scheduled jobs. An alternative to a continuously running script is a service that is scheduled to run every minute.The benefit of this approach is that it allows you to treat this near real-time process as a batch job, which simplifies your architecture.You can think of it as a reversed Kappa architecture: while Kappa processes batch in the same way as real-time data (streaming-first AWS DYNAMODB DEBUGGING & TROUBLESHOOTING WITH EASE Dashbird finds DynamoDB errors automatically, alerts you in seconds and identifies the root-cause, so that you can jump straight in and fix it. Code exceptions and service-specific failures from logs; Critical metric checks for all AWS services covered; Warning level notifications for metrics; Custom alerts for metrics – stay on top of what matters to you! AWS SQS DEBUGGING & TROUBLESHOOTING WITH EASE Debugging and troubleshooting AWS SQS queues have never been so simple. Debug and analyze AWS data 80% faster and cheaper with our SOC 2 compliant dashboard. AWS KINESIS DEBUGGING & TROUBLESHOOTING WITH EASE Dashbird finds Lambda errors automatically, alerts you in seconds, and identifies the root cause, so that you can jump straight in and fix it. Code exceptions and service-specific failures from logs; Critical metric checks for all AWS services covered; Warning level notifications for metrics; Custom alerts for metrics – stay on top of what matters to you! EASILY MONITOR, DEBUG AND ANALYZE AWS KINESIS ERRORS Easily monitor and analyze AWS Kinesis errors. Dashbird is the #1 centralized observability platform for monitoring and alerting for AWSKinesis.
DASHBIRD USER MANAGEMENT: THE GUIDE Managing users. Users and permissions can only be managed by the organization owner.Users&Permissions can be found under “Settings”-> “Organization” –> “Users & permissions”.. In this section you can: Add new users THE BIGGEST COMPANIES USING SERVERLESS RIGHT NOW At AWS Re-invent, Coca-Cola’s Michael Connor talks about how a few case studies they made where the result was clear that by using serverless they would cut down costs by 65%. 5. Nordstrom. Nordstrom is an American-based chain of department stores, headquartered in Seattle. The company was founded over a hundred years ago and has beenon the
MONITOR SERVERLESS APPLICATIONS AT ANY SCALE Best-in-class serverless observability. Automatic debugging, troubleshooting, and monitoring for cloud-native applications. SERVERLESS DESIGN PATTERNS GUIDE Basic Concepts. What is Serverless. What defines a serverless system, main characteristics and how it operates. Types of Serverless Systems. What are the types of serverless systems for computing, storage, queueprocessing, etc.
WHY USE API GATEWAY? PROS & CONS Basic Concepts. What is Serverless. What defines a serverless system, main characteristics and how it operates. Types of Serverless Systems. What are the types of serverless systems for computing, storage, queueprocessing, etc.
7 REASONS WHY YOU SHOULD CONSIDER A DATA LAKE 1. Building a staging area for your data warehouse. A data lake doesn’t need to be the end destination of your data. Data is constantly flowing, moving, changing its form and shape. A modern data platform should facilitate the ease of ingestion and discoverability, while at the same time allowing for a thorough and rigorous structure for reporting needs. WHAT IS A SERVERLESS DATABASE? AN INTRODUCTION Decoupling offers a myriad of advantages, but choosing the right tool for the job may be challenging. In this article we’ll take you though some comparisons between AWS services that allow you to decouple sending and receiving data (covering SNS, SQS and Kinesis).DASHBIRD.IO
Dashbird.io
DYNAMODB DATA ACCESS PATTERNS APPLICATION LOAD BALANCER VS API GATEWAY USING API GATEWAY TO RUN DATABASE QUERIES Decoupling offers a myriad of advantages, but choosing the right tool for the job may be challenging. In this article we’ll take you though some comparisons between AWS services that allow you to decouple sending and receiving data (covering SNS, SQS and Kinesis). THE BIGGEST COMPANIES USING SERVERLESS RIGHT NOW These are just a few of the companies that have already switched server technologies, from traditional servers to serverless infrastructure. Of course, this is by no means a reason to think traditional servers will disappear but having big companies make the jump does point to a not-so-distant future where serverless will be the go-to technology for deploying enterprise applications. MONITOR SERVERLESS APPLICATIONS AT ANY SCALE Best-in-class serverless observability. Automatic debugging, troubleshooting, and monitoring for cloud-native applications. SERVERLESS DESIGN PATTERNS GUIDE Basic Concepts. What is Serverless. What defines a serverless system, main characteristics and how it operates. Types of Serverless Systems. What are the types of serverless systems for computing, storage, queueprocessing, etc.
WHY USE API GATEWAY? PROS & CONS Basic Concepts. What is Serverless. What defines a serverless system, main characteristics and how it operates. Types of Serverless Systems. What are the types of serverless systems for computing, storage, queueprocessing, etc.
7 REASONS WHY YOU SHOULD CONSIDER A DATA LAKE 1. Building a staging area for your data warehouse. A data lake doesn’t need to be the end destination of your data. Data is constantly flowing, moving, changing its form and shape. A modern data platform should facilitate the ease of ingestion and discoverability, while at the same time allowing for a thorough and rigorous structure for reporting needs. WHAT IS A SERVERLESS DATABASE? AN INTRODUCTION Decoupling offers a myriad of advantages, but choosing the right tool for the job may be challenging. In this article we’ll take you though some comparisons between AWS services that allow you to decouple sending and receiving data (covering SNS, SQS and Kinesis).DASHBIRD.IO
Dashbird.io
DYNAMODB DATA ACCESS PATTERNS APPLICATION LOAD BALANCER VS API GATEWAY USING API GATEWAY TO RUN DATABASE QUERIES Decoupling offers a myriad of advantages, but choosing the right tool for the job may be challenging. In this article we’ll take you though some comparisons between AWS services that allow you to decouple sending and receiving data (covering SNS, SQS and Kinesis). THE BIGGEST COMPANIES USING SERVERLESS RIGHT NOW These are just a few of the companies that have already switched server technologies, from traditional servers to serverless infrastructure. Of course, this is by no means a reason to think traditional servers will disappear but having big companies make the jump does point to a not-so-distant future where serverless will be the go-to technology for deploying enterprise applications. MONITOR SERVERLESS APPLICATIONS AT ANY SCALE Best-in-class serverless observability. Automatic debugging, troubleshooting, and monitoring for cloud-native applications. DYNAMODB DATA ACCESS PATTERNS Overview. In comparison to relational databases (RDBMS), DynamoDB requires a different approach to data storage and access patterns modeling. RDBMS support ad hoc queries that are computed on demand, allowing for flexible access patterns. WHAT IS SERVERLESS ARCHITECTURE? BASICS EXPLAINED Start free trial. Central data platform for your serverless environment. Get full access to all premium features for 14 days. No code changes and no credit card required. APPLICATION LOAD BALANCER VS API GATEWAY Decoupling offers a myriad of advantages, but choosing the right tool for the job may be challenging. In this article we’ll take you though some comparisons between AWS services that allow you to decouple sending and receiving data (covering SNS, SQS and Kinesis). AMAZON API GATEWAY: WHAT IS IT? What is an API Gateway. An API Gateway is an interface that sits in between the application and the microservices. Developers use them to create, publish, maintain, monitor and secure API’s.DASHBIRD.IO
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AWS LAMBDA TRIGGERS: WHAT ARE THEY? This is a basic introduction to Lambda triggers that uses DynamoDB as an event source example.. We talk a lot about the more advanced level of Lambda triggers in our popular two-part series: Complete Guide to Lambda Triggers.If you want to learn more, read part one and part two.. We’re going back to the basics this time because skipping some steps when learning something new might get you THE BIGGEST COMPANIES USING SERVERLESS RIGHT NOW These are just a few of the companies that have already switched server technologies, from traditional servers to serverless infrastructure. Of course, this is by no means a reason to think traditional servers will disappear but having big companies make the jump does point to a not-so-distant future where serverless will be the go-to technology for deploying enterprise applications. HOW TO DEPLOY A NODE.JS APPLICATION TO AWS LAMBDA USING The Serverless Framework will now wrap everything up into a nice bundle, create a CloudFormation file from the serverless.yml and shoot it off to AWS S3.Once the resources are created and the code is deployed, you’ll see an endpoint get sent back to you in theterminal.
AWS API GATEWAY AS AN APPLICATION LOAD BALANCER? TL;DR: yes, API Gateway can replace what a Load Balancer would usually provide, with a simpler interface and many more features on top of it. The downside is that it doesn’t come cheap. Learn how PROs debug Lambda apps. Join our Tech Talk now. Spots arelimited!
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3,379 accounts connected MONITOR SERVERLESS APPS ON AWS. Detect and fix problems IN SECONDS. Operate with CONFIDENCE.Get Started Free
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We support all AWS Lambda runtimes LEADING SERVERLESS OBSERVABILITY PLATFORM. Built from the ground up to manage serverless applications in development and at scale. SEE INTO YOUR SERVERLESS APPLICATIONS.Insight
DEEP OBSERVABILITY INTO SERVERLESS. * Quickly navigate logs, metrics and traces. * Visualize resource usage and find bottlenecks.Read the docs →
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ERROR ALERTING AND DEBUGGING. * Find errors and anomalies quickly. * Understand the root cause.Learn more →
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SPEED AND COST OPTIMISATION. * Identify parts of the system that are costing the most. * Pinpoint the cause of slow functions.Learn more →
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Dashbird requires no code changes to your Lambdas. Instead, you’ll have to deploy a preconfigured CloudFormation template. BUILT FOR SERVERLESS Dashbird started from a team building large serverless applications at scale. It solves real-world and current development problems.OUR USERS LOVE US
We’re on a mission to help as many companies succeed with serverless as possible. Over 1000 companies already use Dashbird.Get started
WHY DO OVER 500 TEAMS USE DASHBIRD DAILY?SHAWN - DEVELOPER
Dashbird helped us go from identifying issues in minutes to being able to identify them in seconds. No more sifting through CloudWatch logs trying to piece together what actually happened. The user interaction is intuitive and easy to use, allowing us to understand what is going on in our serverless environment at all times, in close to real time.ANTONIO - ENGINEER
Because of Dashbird, we noticed that all our lambdas were running with a third of the allocated memory size, and that we could confidently reduce that threshold in order to reduce costs. The change was very simple to implement. With one line of code we reduced our billing by 50%, and we are constantly monitoring our application to see if we can reduce it even further.MARIO - ARCHITECT
The main benefit of Dashbird is simplicity. It’s easy to set up, it’s easy to use and most importantly it’s easy to understand. I hate the visual noise within CloudWatch logs.Get started
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