Operations | Monitoring | ITSM | DevOps | Cloud

Best practices for network perimeter security in cloud-native environments

Cloud-native infrastructure has become the standard for deploying applications that are performant and readily available to a globally distributed user base. While this has enabled organizations to quickly adapt to the demands of modern app users, the rapid nature of this migration has also made cloud resources a primary target for security threats.

adidas tracks sports activities with help from RabbitMQ

You go for a run, and when you’re done, your buddy, adidas Running, will tell you how you did. Maybe you hit a new goal this run or need encouragement to work harder next time. No matter what, behind the scenes there is a dedicated team of engineers relying on the stable foundation of RabbitMQ. Ever since sports tracking apps saw the light of day, it’s almost like a workout without tracking, somehow is less valuable to us. Imagine a run streak on day 1,000 without functioning measurements!

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Network Performance Monitoring Is Only Step One

Incident response aims to identify, limit, and mitigate an incident. Whether such an occurrence is a security breach or a hardware failure, formulating and continuously strengthening an incident response strategy has become vital for all businesses in the digital age. Your incident response strategy consists of the processes your organization takes to handle incidents-such as network outages and service-impacting bugs-and the steps taken to mitigate incidents.

Key takeaways from MIM Expo 2022 for incident management professionals

The MIM Expo (Major Incident Management) always delivers, and this year’s recent gathering was no exception. At this annual event, we always get a unique opportunity to hear about what’s top of mind with major incidents and SRE professionals from all the world.

It's all about the preparation - Automated preparation!

Recently I joined a team to run a ‘Ragnar’. A ‘Ragnar’ is a running race where you and an additional seven teammates run a course that typically lasts around 24 hours non stop. Our team joined over 300 other teams running this Ragnar trail course in the middle of the woods in northern Wisconsin. This course consisted of three loops, a 3 mile loop, a six mile loop and a seven mile loop.

What is an MSP Service Level Agreement (SLA)?

Service Level Agreements (SLAs) are instrumental to the modern MSP business. Establishing expectations with clients is the first step to delivering valuable services and maintaining a positive client experience. In this article, we’ll discuss the key metrics to include in an SLA document as well as best practices for SLAs. With this knowledge, you’ll be able to create the most comprehensive SLAs in 2022 and beyond.

Unified Observability: Announcing Kubernetes 360

Ask any cloud software team using Kubernetes (and most do); this powerful container orchestration technology is transformative, yet often truly challenging. There’s no question that Kubernetes has become the de-facto infrastructure for nearly any organization these days seeking to achieve business agility, developer autonomy and an internal structure that supports both the scale and simplicity required to maintain a full CI/CD and DevOps approach.

Scanning Secrets in Environment Variables with Kubewarden

We are thrilled to announce you can now scan your environment variables for secrets with the new env-variable-secrets-scanner-policy in Kubewarden! This policy rejects a Pod or workload resources such as Deployments, ReplicaSets, DaemonSets , ReplicationControllers, Jobs, CronJobs etc. if a secret is found in the environment variable within a container, init container or ephemeral container. Secrets that are leaked in plain text or base64 encoded variables are detected.

Real-Time Embedded Linux Observability with Pantavisor and InfluxDB

This article was originally published on HackMD and is reposted here with permission. Presently organizations are unable to monitor millions of embedded Linux devices in real-time. With so many different architectures and device types, aggregating telemetry and metrics and viewing that data in a centralized analysis tool is problematic. Onboarding embedded Linux devices into a telemetry service so that metrics can be easily observed is a significant challenge.