We have explored how we can deploy Machine Learning models using AWS Lambda. Deploying ML models with AWS Lambda is suitable for early-stage projects as there are certain limitations in using Lambda function. However, this is not a reason to worry if you need to utilize AWS Lambda to its full potential for your Machine Learning project. When working with Lambda functions its a constant worry about the size of deployment packages for a developer.

Markley Group is a Boston-based data center leader that provides co-location and private cloud services through a three-million square foot data center portfolio. The company was founded in 1991, when there was no such thing as the cloud. Today, many of its customers are experimenting in public cloud but often have workload requirements which are better suited or more affordable running on private infrastructure, according to Patrick Houston, Director of Engineering at Markley Group.

The OpenTelemetry Collector is a new, vendor-agnostic agent that can receive and send metrics and traces of many formats. It is a powerful tool in a cloud-native observability stack, especially when you have apps using multiple distributed tracing formats, like Zipkin and Jaeger; or, you want to send data to multiple backends like an in-house solution and a vendor. This article will walk you through configuring and deploying the OpenTelemetry Collector for such scenarios.

Thales Cloud Protection & Licensing, part of the Thales Group, was looking to improve how it handles critical incidents. Whenever an incident hit just gathering up the incident team would be a cumbersome and time-consuming task that involved a lot of manual work . Multiple calendar invites would be sent to different people in and outside of the organization, multiple times, urging them to join calls and meetings.

Whether you are planning to use Graylog for security and threat hunting, IT Operations analysis and reporting, or any other use case, getting your logs into Graylog is essential. The process of log collection is sometimes a daunting task, especially if you are planning to collect massive amounts of data. But if you take a minute to answer some key questions before you begin, you can transform the log collection task from daunting to smooth sailing. Here we go with the questions...

Keeping track of what’s going on in Kubernetes isn’t easy. It’s an environment where things move quickly, individual containers come and go, and a large number of independent processes involving separate users may all be happening at the same time. Container-based systems are by their nature optimized for rapid, efficient response to a heavy load of requests from multiple users in a highly abstracted environment and not for high-visibility, real-time monitoring.

If you’re here, it means that your application is a hit, coming through a long way of development and deployments. Your application is finally in a stage where you or your team need to set up more servers than you can handle manually, and you have to provision them fast. There’s also the need to make sure that all of them have the same configuration, packages, and versions in order for your application to have the same behavior in all of them.

Mainframe modernization is typically viewed as a multiyear, transformational journey that requires long planning phases and a massive buildout before any returns can be realized.

Increasing online traffic is the goal for any website managers, developers, or e-commerce website builders. More traffic equals more customers and, therefore, sales. However, it can be too much of a good thing. If you don't take steps to address website or app performance during traffic peaks, it can cause those assets to slow down and ultimately crash. Making you a victim of your own success! Website crashes are a catastrophe for e-commerce stores.

InfluxDB clustering is available as part of InfluxData’s commercial product offered in both managed and self-managed capacities.