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The latest News and Information on Cloud monitoring, security and related technologies.

Announcement: Pleco - the open-source Kubernetes and Cloud Services garbage collector

TLDR; Pleco is a service that automatically removes Cloud managed services and Kubernetes resources based on tags with TTL. When using cloud provider services, whether using UI or Terraform, you usually have to create many resources (users, VPCs, virtual machines, clusters, etc...) to host and expose an application to the outside world. When using Terraform, sometimes, the deployment will not go as planned.

Monitoring Office365 and Azure Health Status with Coralogix

Life is all about perspective, and the way we look at things often defines us as individuals, professionals, business entities, and products. How you understand the world is influenced by many details, or in the case of your application – many data sources. At Coralogix, we not only preach comprehensive data analysis but strive to enable it by continuously adding new ways to collect data.

2021 Kubernetes on Big Data Report: Data Management | Pepperdata

Get the Pepperdata 2021 Kubernetes on Big Data report and start your journey of better understanding how your competitors are managing their data with Kubernetes. Cloud vendors have proliferated and promised users optimal performance and tight spend. Still, many of these vendors don't provide visibility into Kubernetes big data, resulting in performance issues, poor resource allocation, overspending, and ineffective tuning. To fully optimize your Kubernetes big data, maximize performance, and reduce spend, you need to step beyond the basic K8s measurements and look at app performance.

Incident Review - The Third AWS Outage in December: When it Rains, it Pours

The following is an analysis of the Amazon Web Services (AWS) incident on 12/22/2021. When it comes to major AWS outages, three times is certainly not the charm. For the third time in three weeks, the public cloud giant reported an outage, this time due to a power outage “within a single data center within a single Availability Zone (USE1-AZ4) in the U.S.-EAST-1 Region," according to the AWS status page. Here at Catchpoint, we first observed issues at 07:11 a.m.

Measuring the success of a deployment with GitHub actions

Last week, we took a look at how shareable activities - specifically the link made available to a particular activity’s logs in the management console - could be surfaced as a part of a GitHub integration using GitHub actions. It was a nice bit of fun playing around with GitHub actions for the first time, and it let me make something new and useful for my team’s work. But I caught a little bit of the curiosity bug.

Get the best out of Azure Data Factory - Part 2

This blog is the continuation of the blog “Get the best out of Azure Data Factory – Part 1“. It explains how Serverless360 addresses the pain points and enhances the usage of Azure Data Factory. Serverless360 is a single platform solution that enables Operations and Support Teams to manage and monitor Azure Serverless services more efficiently. Let us have a quick recap of part 1 before looking into new features that Serverless360 provides for Azure Data Factory.

AIOps for Network Monitoring

Multi-cloud hybrid cloud environments, microservices architectures, the rapid growth in the number of mission-critical applications, and the sudden surge in remote work have made enterprise networks exponentially complex. These networks are often not designed to handle the variety of physical and wireless media that’s become common today, for instance, the number of video calls, data transfer through screen sharing, etc.

Share your failures with robots: surfacing activities with GitHub actions

In our previous announcement, we announced that activities on Upsun were now shareable. If you need to send a member of our support team something fishy going on in your build hook, or get help from another member of your team about a database migration taking longer than expected, you can send them to the exact logline you need help with.

Cloud misconfiguration: vulnerability hiding in plain sight

This post originally appeared on The New Stack and is re-published here with permission. In our technology-driven business climate, most companies have at least some, if not all, workloads on the cloud. And unlike on-premises networks, these cloud environments lack secure outer perimeters and specific off times. Cloud networks are always on and always available. While convenient, this also means hackers can access them at any time.