Stay on top of the Chaos

How New Relic supports cloud migration, operations, and maintenance

Read about our client's real-world migration case supported by this full-stack observability platform. Find out all the key benefits we have identified.

Cloud is more efficient than your own DC

Some key factors from the "Cloud is more efficient than your own DC" debate.

Challenges with S3 migrator

Have you ever thought about moving buckets between accounts/regions?

Understanding the zero-trust concept in the cloud

Leverage your cybersecurity strategy by implementing the Zero Trust model.

Cognito Authentication on AWS

Cognito to secure applications, API's and other resources without any coding.

How to leverage Prisma Cloud to protect your serverless apps

Prisma Cloud is one of the cutting-edge tools that can help protect all aspects of a cloud operation.

Security of serverless apps - what does it mean on AWS?

How do we ensure the security of serverless applications in AWS?

Web Application Firewall (WAF)

Security as one of the top priorities cannot be based on one service only.

Disaster recovery — still not a universal vaccine in XXI century

Disasters usually happen at an inconvenient time, with no warning. Invest your time!

Back to the Future: Time Travel with Apache Iceberg Data Lakehouse on AWS

In this article, we answer why they are useful, what problems they solve and demonstrate basic usage based on the Apache Iceberg table format.

How to simplify IaC and semantic versioning in AWS MWAA (Apache Airflow) projects

IaC is necessary for most cloud projects, data engineering included — but it can get tricky in some setups. Here's how to solve one of those.

Reuse dashboards in SaaS BI applications with Amazon QuickSight Templates

A tutorial on how to reuse dashboards for multiple customers using Amazon QuickSight Templates.

How Generative AI and Large Language Models can enhance your business

Large Language Models such as ChatGPT recently made headlines in nearly every corner of the world. Why is the matter important and how can you benefit from it?

Scaling Amazon SageMaker for multiple teams - go from one data scientist to hundreds

A general guide to how Amazon SageMaker can be used in larger organizations by multiple teams in a secure, repeatable manner without constant reinvention of the wheel.

ML orchestration 4/4

Machine learning pipelines at AWS — which service should I use?

A comparison between three AWS technologies used to automate workflows in machine learning projects.

Deploying machine learning models in SaaS applications on AWS

A showcase of various methods and features of SageMaker Inference in the context of deploying machine learning models for Software as a Service applications.

ML orchestration 3/4

AWS CodePipeline — the “original” machine learning orchestrator

In this part, we will characterize the oldest Amazon’s offering - AWS CodePipeline.

ML orchestration 2/4

AWS Step Functions — the Swiss Army knife of ML and beyond

Get to know more about the AWS Step Functions service in the context of machine learning.

ML orchestration 1/4

Amazon SageMaker Pipelines — the new cool kid on the AWS block

Amazon SageMaker Pipelines, AWS Step Functions and AWS CodePipeline

CI/CD on AWS 3/3

CI/CD on AWS: Solution Architecture and implementation of serverless pipelines in AWS

More about implemented solution, with all the steps of configuration, and a DEMO

CI/CD on AWS 2/3

CI/CD on AWS: Client requirements and how we resolved all challenges

More about client requirements, current situation and limitations

Enabling Amazon Cognito Identity Pools and AWS IAM to perform attribute-based access control

A short tale of trying to outsmart AWS and tackle its hard limits in Cognito and IAM.

CI/CD on AWS 1/3

CI/CD on AWS: What AWS has to offer and how can I extend it

Native AWS services in context of CI/CD and other tools for managing resource configuration

Saga Patterns inside Step Functions world

Failures — same story over and over again.

Chaos Engineering, the way to decrease revenue loss in your firm

Chaos Engineering - why is this important? Steps to perform it in your company and useful tool set.

Chapter 2/2

Before starting the trip better check whether you’re properly equipped

Tools, AWS services and third-party frameworks that speed up different parts of the process.

Your serverless project is growing - CloudFormation, API Gateway endpoints and custom domains

Limitations of resources in your AWS CloudFormation template? I'll show method that worked!

Chapter 2/2

Don't panic, organize

This is a continuation of ‘Don't panic, organize (part 1 of 2)'.

Chapter 1/2

Don't panic, organize

Closer look at one of such services like AWS Organizations. How it can be used?

Chapter 1/2

Decisions in the world where computing is commoditized

Why we've picked particular solutions? Which points were crucial for newly launched startup?

How we built a multi-regional first-line of support for one of our customers

How we put together a serverless application running AWS Lambda under the baton of AWS Step Function.

Don’t believe in what you see, unless you’ve tested it already

AWS RDS integrity testing tool based on a serverless approach.

Chapter 1/2

How to test your Lambda in production with different memory values and python wrapper

World of Step Functions, Python wrappers and Lambda Function Aliases and Versions.

Chapter 2/2

Last stop on our serverless project journey

We’re going to walk through the automated flow using DynamoDB Streams, AWS CI/CD services and Lambda.

Fargate and your first copy tool

Let's look deeper into AWS serverless services and try to make our S3 copy tool.

How to build your own Dropbox in AWS without any servers

A way to get full transparency on your cloud storage bills.