Amazon AWS
DigitalOcean
Microsoft Azure
Linode
GoDaddy
Google Cloud Platform
Vultr
Heroku
Dashbird
Lumigo
Epsagon
Datadog
NewRelic
AWS Lambda
Amazon CloudWatch
AWS X-Ray
Dashbird is an observability, debugging, and intelligence platform designed specifically to help serverless developers build, operate, improve, and scale their modern cloud applications on AWS environment fast, securely, and with ease. It’s free to use for up to 1M invocations and doesn’t require any code changes.
Dashbird fills the gaps left by CloudWatch and other traditional monitoring tools by offering enhanced out-of-the-box monitoring, operations, and actionable insights tools for architectural improvements, all in one place.
Full observability covered for AWS services: Lambda, API Gateway, DynamoDB, SQS, ECS, Step Functions, Kinesis, HTTP API Gateway, RDS, SNS, OpenSearch, ELB.
Dashbird’s approach is fairly simple, all the mission-critical data of your entire serverless system is placed in a single dashboard giving you a birds-eye-view of the entire system activity. Moreover, you get immediate alerts on any errors or warnings that may arise and get pointed to the exact point of failure in the system so it can be resolved fast.
The 3 core pillars of Dashbird are:
Real-time end-to-end serverless observability Automatic Failure Detection Continuous Well-Architected reports on your entire infrastructure
Amazon AWS DashbirdNo features have been listed yet.
You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS should be more popular than Dashbird. It has been mentiond 375 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
AWS Account: If you don’t have one, create it here. - Source: dev.to / about 8 hours ago
Step 1: Visit AWS Website Navigate to the AWS website and click on the create an AWS account button on the top right corner. - Source: dev.to / 7 days ago
When I first started using AWS, I'd often end up spending a lot more as compared to what my expectation, but since the projects were small and the small differences in run-time did not affect the business function that much I used to overlook it. It was only when we started the first major project that we learnt about polling in AWS Lambda and it has been a lifesaver. On a recently completed project, we are... - Source: dev.to / 6 days ago
Solution Using AI APIs:To address this issue, the platform integrated Amazon Personalize, an AI API from Amazon Web Services (AWS), to implement personalized recommendation features. Amazon Personalize uses machine learning algorithms to analyze user behavior and preferences, generating individualized product recommendations. The integration process involved:. - Source: dev.to / 8 days ago
Salesforce is a powerful customer relationship management (CRM) platform that helps organizations manage their sales, marketing, and customer service processes. However, to unlock its full potential, integrating Salesforce with other powerful platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure can provide additional functionalities, streamline processes, and enhance data... - Source: dev.to / 9 days ago
There's more to come at Dashbird, as we're already building more features to help you run the best possible AppSync endpoints. This includes a set of well-architected insights to guide you with best practices. - Source: dev.to / almost 2 years ago
Observability in serverless Tools like Datadog, Splunk, Thundra.io, New Relic, and Dashbird make monitoring and debugging serverless applications easy. They collect metrics, logs, and traces from AWS Cloudwatch and X-ray. - Source: dev.to / almost 2 years ago
With its latest release, Dashbird added support for APIG's HTTP APIs. All your HTTP APIs are automatically monitored after installing Dashbird into your AWS account. You need to deploy a CloudFormation template to set up Dashbird integration; it doesn't require any code changes! - Source: dev.to / almost 2 years ago
I decided to try out Dashbird because it’s free and seems promising. They’re not asking for a credit card either, making it a “why not try it out” situation. - Source: dev.to / about 2 years ago
With the emergence of managed and distributed services, the monitoring landscape will have to go through a significant change to keep up with modern cloud applications. Currently, devops overhead is one of the biggest obstacles for companies looking to use serverless in production and rely on it for mission-critical applications. Our team at Dashbird is hoping to solve that one problem at a time. - Source: dev.to / about 2 years ago
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Lumigo - With one-click distributed tracing, Lumigo lets developers effortlessly find and fix issues in serverless and microservices environments.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Epsagon - Track costs and fix your serverless application.
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.Sign up to Linode through SaaSHub and get a $100 in credit!
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.