AWS Lambda enables you to run serverless functions in the AWS cloud, by manually triggering functions or by creating trigger events. To ensure your Lambda functions are running smoothly, you can monitor metrics that measure performance, invocations, and concurrencies. However, even if you continuously monitor, once in a while you are going to run into what’s termed a Lamba cold start. There are various ways to prevent AWS Lambda cold starts.

Some, maybe. But not most. Look, I have this theory. I also have data. And as with most stories in my life, it all starts with a trip to Las Vegas. In 2017, I attended my first AWS re:Invent in Las Vegas. For a while I heard how re:Invent was either a “cloud” or a “developer” event. I now believe neither to be true. Most people I met at re:Invent were operations folks. They were there to learn about monitoring and managing applications running in AWS.

I’m a bit of a data nerd. And like many fortunate people, I’m still working from and generally staying home and have a lot spare time on my hands. So what does that combination result in? Graphs!

Two years ago we introduced Splunk Insights for AWS Cloud Monitoring and Splunk Insights for Infrastructure on the AWS Marketplace as a Pay-As-You-Go Amazon Machine Image, where you could initiate an instance and pay hourly to use these products after a 15-day trial. Assessing our portfolio, we are discontinuing these offerings to focus on differentiating capabilities, namely the ability to search and apply machine learning to your data in addition to visualizing insights.

Since almost the beginning of programming, the idea of write-once and deploy everywhere, on all platforms, has been an unreachable ideal to minimize development costs for cross-platform applications, drive UI consistency and reduce security service area. In programming, the cross-platform languages Java and Python have topped developer utilization charts for decades.

The Azure Functions team has yet again joined us for another monthly live webcast by staying remote and safe. In this live webcast, along with Jeff Hollan, Anthony and Matthew joined us to give a picture of the latest happenings in Azure Functions space. Without any further delay, let us jump in as there are tons of update are awaiting.

Cloud environments like AWS can be a challenge for security monitoring services to operate in since assets tend to dynamically appear and disappear. Making matters more challenging, some asset identifiers that are stable in traditional IT environments like IP addresses are less reliable due to their transient behavior in a cloud service like AWS. Amazon GuardDuty protects your AWS environment with intelligent threat detection and continuous monitoring.

Amazon Elastic Block Store (EBS) provides block storage for applications that are running in the cloud. However, not every company is getting the most out of the EBS volumes they are using. Some companies can pay too much for EBS volumes without utilizing the allocated storage and IOPS. Other organizations may pay high prices because they are using the wrong disk type for their needs. This article explains five techniques you can use to optimize the performance of your EBS workloads.

It’s no secret that AWS Lambda adoption has grown steadily since AWS first released it in 2015—and for good reason. The benefits of adopting Lambda are many: leveraging Lambda eliminates the need to provision and manage servers, enabling teams to just focus on their code without the mental and operational overhead of worrying about the underlying infrastructure.