Operations | Monitoring | ITSM | DevOps | Cloud

For a successful cloud migration, creating (and later refining), a cloud migration strategy tailored to your organization’s goals, available resources, workloads, and priorities is an absolute necessity. So here, we’ll take a look at a simple list of the areas you’ll need to quantify and understand to build that strategy and then improve it as you move forward through the cloud migration process.

Governance, risk, and compliance (GRC) are major inhibitors for organizations moving to the cloud—and for good reason. Cloud environments are complex, and even a single misconfigured security group can result in a serious data breach. In fact, misconfigurations were the leading cause of cloud security breaches in 2020. This puts a lot of pressure on developer and operations teams to properly secure their services and maintain regulatory compliance.

Tencent Cloud is among a number of Chinese tech giants making an impact in the enterprise cloud sector. In this blog, we look at how businesses can maximise the potential of their Tencent Cloud instance using direct connections through Console Connect.

Rolled out in 2011, AWS ElastiCache has grown to become one of the most prominent Amazon services among developers. So much so that in the 2020 Stack Overflow Developer Survey, one of its fully-managed engines was voted by developers as the most loved database. On the flip side, however, AWS ElastiCache happens to be infamous for its high costs. Although it offers a flexible pricing system that charges you only for what you use, the usage bill can get pretty high for some users.

A lot of people think that using the cloud makes you elastic, but cloud really only gives you the potential to be elastic. If your apps aren’t elastic, and your cloud usage doesn’t flex up and down based on activity levels, then it’s really just expensive. The same is true of containers—they don’t magically make all of your hosting problems go away, and while they have the potential to make you more agile and efficient, it isn’t that simple.

Serverless applications, more often than not, have logic distributed over multiple functions and services, which with growth and agents and wrappers attached, can get more complex and costly. This is where Serverless monitoring comes in to help. But what is Serverless monitoring? Serverless monitoring allows developers to gain important insight on what happens during each execution and event, errors become more easily visible, and measuring resource consumption for each invocation is possible.