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Explore how to best run periodic GPU-intensive machine learning inference on cloud GPUs with AWS Batch.

Exploring Apache Iceberg in AWS data lakehouses by implementing time travel for Iceberg tables in Amazon Athena.

Large language models such as ChatGPT are disrupting most markets. What do they offer and how can you benefit from it?

Practical tips for semantic versioning, IaC and other DevOps best practices based on Apache Airflow (AWS MWAA) containers on ECS.

A guide on how to organize and secure SageMaker for use by many teams — from AWS Organizations to Amazon SageMaker Projects.

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.

A guide on how to reuse business intelligence dashboards for multiple customers using Amazon QuickSight templates.

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

Using Amazon Cognito identity pools and user pools to implement ABAC while tackling Cognito and IAM hard limits.

An overview of the best architectures and methods of deploying SaaS machine learning applications with SageMaker Inference.

Leverage your cybersecurity strategy by implementing the zero trust model.

Time to characterize the oldest tool in Amazon’s orchestration toolbelt — AWS CodePipeline.

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

Learn how AWS Step Functions can help you orchestrate machine learning operations and how it stacks up against SageMaker Pipelines.

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

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

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

Learn when to use Amazon SageMaker Pipelines, and when to avoid them. Part of a series exploring MLOps services on AWS.

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

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

AWS RDS integrity testing tool based on a serverless approach.

Security, as one of the top priorities, cannot rely on merely a single service.

A practical example of pinging Amazon VPCs connected via AWS Transit Gateway, built and deployed using the AWS Cloud Development Kit.

A practical example of pinging Amazon VPCs connected via AWS Site-to-Site VPN, built and deployed using the AWS Cloud Development Kit.

A practical example of pinging Amazon VPCs connected via VPC peering, built and deployed using the AWS Cloud Development Kit.

An introduction to a series of articles on Amazon VPCs connected via various AWS services, built and deployed using the AWS CDK.

Handling permissions in AWS Organizations managed with Terraform with proper multi-environment OUs and service control policies.

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

Treat others in the way you want to be treated — or, in other words, a bit more about our values.

Step into the world of testing Step Functions, Python wrappers and Lambda function aliases and versions.

Exploring how to get around hard resource limits in AWS CloudFormation templates managed by Serverless Framework.

Why is chaos engineering important? Here's why - along with the steps necessary to perform it in your company, and a useful tool set.

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

Why have we picked particular solutions? Which points were crucial for a newly launched startup?

Centralizing the management of IAM groups and users with AWS Organizations defined with Terraform to keep everything well-organized.

Finishing touches to our implementation, with all of its configuration steps, in the last chapter of the series.

More about client requirements, current situation and limitations

Exploring the usefulness and rough edges of Amazon DynamoDB Streams, using AWS Lambda to stream changes to SQS in real-time.

Exploring what's needed to build your personal Dropbox clone using Lambda and Amazon S3 for storage while keeping costs in check.

Let's explore how we can use AWS Step Functions with the saga pattern to simplify failure handling across distributed transactions.

Continuing an exploration of which issues are the most prevalent in DevOps transformations — this time focus on organizational aspects.

Why does our workflow work the same way or even slower, despite all the changes we made — and despite migrating to the cloud?

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

Let's have a practical introduction to the most fundamental service in AWS' serverless catalogue.

Using Amazon Cognito to authenticate and authorize users to secure applications, APIs and other resources — without any coding.

After 9-months of development, it's time to to re-evaluate some technical and organizational decisions about our serverless application.

How to get started with SlackOps to improve DevOps flows in a small team working within many AWS environments.

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

Are you afraid of Chaos in your environment? “Taming chaos” is much more than just a fancy expression.

A practical introduction to CI/CD tools in AWS' roster, focused on creating an automated pipeline for building Docker images.

A recap of thoughts after spending one week on one of the most influential conferences in the world.

A brief look into our approach to keeping VPC environments in sync and secure.

A practical guide to dealing with backups of EBS volumes, including an introduction to the Serverless Framework.

Sometimes you need to postpone your custom, long-term ideas for short-term, already running ones.

Examining a feasible approach to cloud waste by getting rid of stale & empty S3 buckets created en masse during tests.

Let's take a look at the architectural changes which have made EC2 the fundamental part of most environments launched in AWS.

Time is more valuable than money, but cake trumps both. With automated (pre)baking of your AMIs you can have your cake — and eat it too.