Operations | Monitoring | ITSM | DevOps | Cloud

Welcome to the second edition of Serverless from the Trenches, our series of bite-sized blog posts aimed at developers and DevOps working in serverless. Each article will focus on a different technique or tool to solve a real-world problem and – hopefully – help make your work in serverless more productive. This week we look at how to add Cognito to your integration tests flow, making for true black box testing.

Just starting out with Dashbird? Great, you are in the right place. I’ve been speaking with hundreds of our new users in the past couple for months about their experience with Dashbird. I must say the feedback has been incredible so far. However, there are a few things I’ve noticed that our users haven’t yet taken advantage of within the platform. For a better success, let me point them out to you.

With the adoption of agile microservices, enterprise IT teams have rapidly transitioned from managing pets (physical and virtual servers) to cattle (public cloud services) to now chickens (containerized infrastructure). Container platforms like Docker and container orchestration engines like Kubernetes are helping IT operators drive greater agility, portability, and flexibility for scaling, managing, and optimizing microservices architectures.

Today, I’m excited to announce a partnership between Logz.io and Microsoft Azure. With this partnership, Logz.io is now offering Azure customers a fully managed, scalable machine data analytics platform built on ELK and Grafana. What does that mean? Azure customers can now easily deploy, run, and scale ELK without the hassle and pain of maintaining and managing the stack themselves.

Some time ago, the Register published an article titled “Lambda and serverless is one of the worst forms of proprietary lock-in we’ve ever seen in the history of humanity”. It received a lot of attention, and vendor lock-in has become a perennially popular question at conferences. But I’m here to tell you that you are probably thinking about vendor lock-in all wrong when it comes to serverless.

Each year we eagerly await the publication of the RightScale (now Flexera) State of the Cloud report to see which technologies and players are trending in the cloud ecosystem. In this year’s report (2019) one of the interesting takeaways is that in 2018 public cloud spending grew three times faster than private cloud and companies intend to spend almost 25% more on public cloud in 2019 than they did in 2018.

I’m on the og-aws Slack group, one of the more active groups of AWS developers and cloud practitioners. A member of the channel, Samuell, asked a question about S3, Cloudfront, and new files, and I saw the perfect opportunity to help out, so I offered.

Last year we covered the top enterprise serverless use cases for AWS Lambda. To refresh our memory, according to the CNCF (Cloud Native Computing Foundation), most commonly AWS Lambda is used for REST APIs, multimedia/image processing, CRON jobs, and stream processing. Today I’d like to cover some more complex ways some of our enterprise customers use Lambdas.