Operations | Monitoring | ITSM | DevOps | Cloud

Amazon Web Services, Inc. (AWS), an Amazon.com company, today announced the 2023 AWS Partner Award winners, recognizing leaders around the globe playing a key role helping customers drive innovation and build solutions on AWS. Announced during re:Invent 2023, AWS Partner Awards recognize our Top Partners of the Year and Rising Star Partners of the Year, whose business models have embraced specialization, innovation, and collaboration over the past year.

Cribl’s internal metrics are very handy for seeing what Cribl is doing. And while there are many data points related to input vs output volumes, sometimes you need more control over what you’re tracking. This pack allows you to route arbitrarily defined traffic through a stats tracker to capture changes in event count and volume. Perhaps you are onboarding a new host, or trialing a new Pipeline.

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.

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.

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.

To monitor and troubleshoot the performance of microservice-based applications, Jaeger and Zipkin are examples of the most commonly used open-source distributed tracing systems. They both supply users with insight into the flow of requests through various components of a system, which can be utilized to find latency bottlenecks, errors, and performance problems in the system.

One of the most important events you should be monitoring on your network is failed and successful logon events. What comes to most people’s minds when they think of authentication auditing is OS level login events, but you should be logging all authentication events regardless of application or platform. Not only should we monitor these events across our network, but we should also normalize this data so that we can correlate events between these platforms.

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.