As Microsoft Azure continues to be developed and more automation options become available; Azure Automation, Logic Apps, ARM (Azure Resource Manager) and Azure Function Apps to name a few, the question is quickly turning from ‘how do I automate with Azure?’ to ‘what automation type do I use in Azure?’. Across our next few blogs we will seek to delve into the options available and look to define how they stack up against Azure Automation.

Amazon Elastic Load Balancing ( ELB ) allows you to create load balancers for your application without having to actually manage the servers that do the load balancing. However, since it’s a managed service, you have less visibility with traditional monitoring tools. As such, it becomes even more important to take advantage of the available monitoring tools in AWS. In this post, we’ll explain how to use CloudWatch to monitor Elastic Load Balancing and what is important to watch.

This is the second of a three-part series on how OpsRamp helps enterprise IT operations teams manage the challenges of migrating to the cloud. Read part one here. IT teams can build the migration blueprint and test different migration activities in the staging environment using the data collected and processes established during the pre-migration phase. The migration blueprint and related testing help identify gaps, requirements, and barriers to designing a successful migration.

AWS Lambda has a soft limit of 75GB for deployment packages for all your functions (including the layers you use). This might seem a lot, but a team that has fully embraced serverless can reach this limit very quickly.

I am a proud lazy programmer. This means that if I can automate a task, I will absolutely do it. Especially if it means I can avoid doing the same thing more than once. Luckily, as an engineer, my laziness is an asset - because this week, it led me to write an HTML scraper for our Changelog, just so I wouldn’t have to manually update the Changelog feed on our new app homepage (btw, have you seen our new app homepage? It’s pretty sweet).

Analyst firm IDC forecasts that organizations will collectively spend $370 billion on public cloud services and infrastructure in 2022. Given the skyrocketing adoption of public cloud platforms, enterprises are using a number of approaches (lift and shift, replatforming, and refactoring) to smoothly transition on-prem workloads to the cloud.

I’m going to be biased in this post and it’s going to be ok because all the information you’re about to see are 100% correct and fair towards both services.

As your AWS usage grows, so will your stockpile of EBS snapshots and AMI images. Many of these are used for backups, while others are used to launch EC2 instances from Auto Scaling groups and EC2 launch templates. As your collection of AMI images grows, you will need to start rotating out the old AMI images.

Back in 2008 when we began our journey, cloud computing was still relatively new. Though the term had a lot of buzz around it, organizations only considered the cloud as a place to experiment, not as a viable alternative to run production workloads. Now, the cloud has become the go-to strategy for enterprises and startups alike to deliver their digital business.

Famed management thinker Peter Drucker is often quoted as saying, “You can’t manage what you can’t measure.” Tracking and analyzing data of a system provides metrics to measure, predict, and improve the underlining health of the system. Logging data is the simplest act of collecting data for measurement and plays an important role in modern enterprises, as it provides a way to measure the health of hardware devices and software applications alike.