Operations | Monitoring | ITSM | DevOps | Cloud

As a SaaS leader, you probably understand how crucial it is to get your engineers to make strategic cloud cost decisions. After all, your engineers are responsible for most of the cloud operating costs within your company. Unfortunately, getting engineers to care about costs isn’t always intuitive or easy. In fact, it’s commonly thought to be one of the most difficult challenges faced by SaaS leaders and FinOps specialists.

Cloud spenders of all sizes, but particularly those who have exceeded the $50,000 a month benchmark, know how challenging it can be to extract meaningful insights from their spend environments. As a digital-native company grows, its spend environment naturally gets more complicated — and without a strong organizational framework, what could be a treasure trove of data turns into a rat’s nest of semi-organized, confounding figures.

If you want to connect any equipment - known as CPE (Customer Premises Equipment) - at one of your enterprise buildings to the Console Connect platform you'll need an Edge Port.

It’s time to stop firefighting. With Sumo Logic’s AWS Observability, companies like Snoop have been able to simplify data collection, achieve unified visibility across AWS accounts and regions and leverage machine learning to troubleshoot — fast. This re:Invent, we’re excited to showcase how our capabilities for AWS have evolved.

Enabling auto-instrumentation for your Lambda functions provides detailed insights into the performance and security of your serverless applications. Developers often also use custom instrumentation to fine-tune visibility and further tailor telemetry to their business needs. However, different teams within your organization might use a variety of instrumentation libraries, and achieving more granular visibility can come at the expense of data portability and interoperability.

Containers are powerful tools for scaling and deploying your applications, but with so many components pulled from different sources, there’s a greater potential for issues within them to go undetected. As a result, you need to monitor every layer of your containerized environments for vulnerabilities and performance problems—from your application to your container images.

CI/CD services such as AWS CodePipeline enable developers to automate and accelerate the process of building, testing, and deploying code. But with the speed, scale, and complexity of the modern software development life cycle, even small performance regressions or increases in failure rates in your CI system can quickly snowball, slowing or even halting releases and causing cost overruns.

Every day, we generate tons of data, so much so that we cannot analyze them manually anymore. Visualization is a process by which the generated data will be broken down into smaller packages. Visualization extensively relies on observability and the triumvirate of Logs, Metrics and Traces. When it comes to visualizations and dashboards, Kibana and Grafana are two prominent names in the market. What makes them stand apart from their peers is their ability to conceive top-notch analytics charts.

In typical re:Invent fashion, AWS has made a series of big announcements before the main event even kicks off! Here are some groundbreaking serverless updates that you should know about.

One of the major benefits of choosing the cloud over on-premise architecture is the ability to easily and quickly scale — but what does scalability mean in cloud computing? If your business is in the process of growing, it’s important to know your technology options so you can make informed decisions on how to scale. In this article, we cover scalability in cloud computing, its benefits, and more. Let’s get to it!