Operations | Monitoring | ITSM | DevOps | Cloud

It is vital to understand the price of Azure Logic Apps for multiple reasons, regardless of whether you are a developer overseeing their implementation or a business wishing to use the platform for your operations. Understanding the pricing model facilitates efficient budget planning and allocation for your tasks. You can avoid unforeseen expenses and make more accurate cost estimates.

Let’s be honest, working with Kubernetes (K8s) has never been the easiest tech to work with. As a seasoned Kubernetes professional, I find myself constantly looking for ways to set up collecting data from my clusters, only to find out that there is a new, more complicated way to get the data I’m looking for.

Our previous post was all about dipping your toes into the wonderful world of API interaction. By leveraging Cribl’s API you can automate many parts of your event pipeline management and tasks. So we got that goin’ for us. Which is nice. One of the common use cases for the API I hear about is kicking off data collection automatically. Use cases include: Cribl gives you the tools to collect data when you want, from where you want, and to where you want.

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.

The open-source Kubernetes platform has become the de facto standard for deploying, managing, and scaling containerized services and workloads. In fact, 83% of DevOps teams are using Kubernetes to deploy containerized applications in production, taking advantage of its workload orchestration and automation capabilities to optimize the software development process and reduce web server provisioning costs.