Operations | Monitoring | ITSM | DevOps | Cloud

Dashbird

5 Common Amazon Kinesis Issues

Amazon Kinesis is the real-time stream processing service of AWS. Whether you got video, audio, or IoT streaming data to handle, Kinesis is the way to go. Kinesis is a serverless managed service that integrates nicely with other services like Lambda or S3. Often, you will use it when SQS or SNS is too low-level. But as with all the other services on AWS, Kinesis is a professional tool that comes with its share of complications.

5 Common Amazon SQS Issues

The simple query service (SQS) was one of the first services AWS offered. It’s a managed queuing service that lets you take pressure from your downstream services. You put your items on the queue, and other services can pull them whenever they have the capacity to work on them. It’s a managed service, so you don’t have to install or maintain the software yourself; you just configure a queue and start pushing to and pulling from it. So SQS is very simple to get started with.

5 Common Step Function Issues

Step Functions, the serverless finite state machine service from AWS. With DynamoDB, Lambda, and API Gateway, it forms the core of serverless AWS services. If you have tasks with multiple steps and you want to ensure they will get executed in the proper order, Step Functions is your service of choice. It offers direct integrations with many AWS services, so you don’t need to use Lambda Functions as glue. This can improve the performance of your state machine and lower its costs.

6 Common DynamoDB Issues

DynamoDB, the primary NoSQL database service offered by AWS, is a versatile tool. It’s fast, scales without much effort, and best of all, it’s billed on-demand! These things make DynamoDB the first choice when a datastore is needed for a new project. But as with all technology, it’s not all roses. You can feel a little lost if you’re coming from years of working with relational databases. You’re SQL and normalization know-how doesn’t bring you much gain.

[Infographic] AWS SNS from a serverless perspective

The Simple Notification Service, or SNS for short, is one of the central services to build serverless architectures in the AWS cloud. SNS itself is a serverless messaging service that can distribute massive numbers of messages to different recipients. These include mobile end-user devices, like smartphones and tablets, but also other services inside the AWS ecosystem. SNS’ ability to target AWS services makes it the perfect companion for AWS Lambda.

[Infographic] AWS RDS from a Serverless perspective

In this article, we’ll deep dive into all the basics to help you decide if AWS RDS is the right decision for your architecture and help you hit the ground running if you do end up AWS RDS. For many decades now, relational databases (RDS) have been the place to store your data. They are pretty flexible often use some kind of SQL dialect, which is one of the main languages taught in computer science classes, and widely understood by the average developer.

[Infographic] AWS Elastic Load Balancing from a Serverless perspective

Load balancing is a significant part of every internet-facing software, and with Elastic Load Balancing (ELB), AWS offers a set of load balancers for every use case. Since our latest update, Dashbird also gives you insights into these ELB services; let’s look at them and see how they can be used in a serverless environment.

Dashbird now integrates with 5 new AWS services

TL;DR: Dashbird launches observability for five new AWS services (ELB, SNS, RDS, OpenSearch, and HTTP API Gateway) to allow for a faster, more secure, and smoother serverless observability experience. Dashbird, the leading monitoring platform for serverless AWS applications, announces five new AWS integrations.

What is an AWS Lambda Function?

In this article, we will cover the basics of a Lambda function and its functionality in our every day digital lives. AWS Lambda, as we already know, is a compute service that allows you to run code without managing servers. AWS Lambda runs the code when it is needed, and it is automatically scaled. The code you execute on AWS Lambda is called Lambda function, and it can be considered, for better understanding, as a formula in a spreadsheet.