Monitoring platform for keeping systems up and running at all times.
Full stack visibility across the entire stack.
Detect and resolve any incident in record time.
Conform to industry best practices.
Dashbird continuously monitors and analyses your serverless applications to ensure reliability, cost and performance optimisation and alignment with the Well Architected Framework.
What defines a serverless system, main characteristics and how it operates
What are the types of serverless systems for computing, storage, queue processing, etc.
What are the challenges of serverless infrastructures and how to overcome them?
How systems can be reliable and the importance to cloud applications
What is a scalable system and how to handle increasing loads
Making systems easy to operate, manage and evolve
Learn the three basic concepts to build scalable and maintainable applications on serverless backends
The pros and cons of each architecture and insights to choose the best option for your projects
Battle-tested serverless patterns to make sure your cloud architecture is ready to production use
Strategies to compose functions into flexible, scalable and maintainable systems
Achieving loosely-coupled architectures with the asynchronous messaging pattern
Using message queues to manage task processing asynchronously
Asynchronous message and task processing with Pub/Sub
A software pattern to control workflows and state transitions on complex processes
The strategy and practical considerations about AWS physical infrastructure
How cloud resources are identified across the AWS stack
What makes up a Lambda function?
What is AWS Lambda and how it works
Suitable use cases and advantages of using AWS Lambda
How much AWS Lambda costs, pricing model structure and how to save money on Lambda workloads
Learn the main pros/cons of AWS Lambda, and how to solve the FaaS development challenges
Main aspects of the Lambda architecture that impact application development
Quick guide for Lambda applications in Nodejs, Python, Ruby, Java, Go, C# / .NET
Different ways of invoking a Lambda function and integrating to other services
Building fault-tolerant serverless functions with AWS Lambda
Understand how Lambda scales and deals with concurrency
How to use Provisioned Concurrency to reduce function latency and improve overall performance
What are Lambda Layers and how to use them
What are cold starts, why they happen and what to do about them
Understand the Lambda retry mechanism and how functions should be designed
Managing AWS Lambda versions and aliases
How to best allocate resources and improve Lambda performance
What is DynamoDB, how it works and the main concepts of its data model
How much DynamoDB costs and its different pricing models
Query and Scan operations and how to access data on DynamoDB
Alternative indexing methods for flexible data access patterns
How to organize information and leverage DynamoDB features for advanced ways of accessing data
Different models for throughput capacity allocation and optimization in DynamoDB
Comparing NoSQL databases: DynamoDB and Mongo
Comparing managed database services: DynamoDB vs. Mongo Atlas
How does an API gateway work and what are some of the most common usecases
Learn what are the benefits or drawbacks of using APIGateway
Picking the correct one API Gateway service provider can be difficult
Types of possible errors in an AWS Lambda function and how to handle them
Best practices for what to log in an AWS Lambda function
How to log objects and classes from the Lambda application code
Program a proactive alerting system to stay on top of the serverless stack
Event Bridge is a message bus that acts as a broker between event publishers and consumers. It is somewhat similar to a Message Queue and a Pub/Sub, but with some differences.
Provided by AWS and launched in 20191, it was remodeled and expanded from an older service called CloudWatch Events2.
The main components3 of an Event Bridge are:
The main service component, the bus is responsible for receiving events and routing them to the correct targets following all applicable rules.
These are messages published by a service through the EventBridge bus. It may indicate a change in an environment, an action taken, a scheduled event occurence, or virtually anything else. Events are JSON messages that should follow a template standard to the Event Bridge Service.
Services that send events to the Bus in order to be taken care of by target services. Example: when a new customer subscribes to an online service, the subscription component (source) may need to inform other services (targets) in the system about it – to send a confirmation e-mail, for example.
Services that subscribe to the Event Bus in order to receive events when published by source components and matched by the rules in place.
A set of instructions for the Event Bus to decide whether a particular message should be delivered to certain targets. Each rule can route a matched event to one or multiple targets. Another feature of rules is that they can customize event messages, by passing to targets only a subset of the information available, for example.
Event Bridge schema is a template containing the structure expected for a certain type of event message published through an event bus. While this is an optional component for the EventBridge service, it can improve transparency and maintainability of highly complex systems running asynchronously on EventBridge.
AWS launched in Dec 2019 the Schema Registry4 service. Although still in preview5, it makes it easier to identify, document and discover event schemas within Event Bridge. The Schema Registry service can also generate schemas based on inference from events already published through an event bus.
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