Operations | Monitoring | ITSM | DevOps | Cloud

The use of NFV migration is becoming commonplace, it is made apparent there is a need for a higher degree of software management, smoother upgrades, and deployment process. Due to the complexity of the migration, Telcos have been deterred from adoption. A solution should be out there to aid businesses in managing and deploying network automation, orchestration, and managed services. In general, a telco network is complex and needs to be managed using multiple perspectives.

New regulations like virtual banking licensing frameworks, advances in open banking and big techs rapidly gaining ground in financial services, are dramatically changing the banking landscape, forcing incumbents to reinvent themselves. To be successful, the bank of the future will need to embrace emerging technologies, focus on providing exceptional customer experiences and take a more holistic approach to ‘change’.

The end-to-end monitoring of complex software systems is difficult, toil-intensive and error-prone. Developers, SREs and Platform teams must continuously invest effort in setting up and maintaining the monitoring setups that underpin the observability of their systems, or accept the risk of being unaware of ongoing issues and their impact on end users. Enter model-driven observability powered by Juju!

The CVE-2021-33909, named Sequoia, is a new privilege escalation vulnerability that affects Linux’s file system. It was disclosed in July, 2021, and it was introduced in 2014 on many Linux distros; among which we have Ubuntu (20.04, 20.10 and 21.04), Debian 11, Fedora 34 Workstation and some Red Hat products, too. This vulnerability is caused by an out-of-bounds write found in the Linux kernel’s seq_file in the Filesystem layer.

Kubeflow is the open-source machine learning toolkit on top of Kubernetes. Kubeflow translates steps in your data science workflow into Kubernetes jobs, providing the cloud-native interface for your ML libraries, frameworks, pipelines and notebooks. Read more about Kubeflow

Today, the Kubernetes community made the 1.22 release candidate available, a few weeks ahead of general availability, planned for August the 4th. We invite developers, platform engineers and cloud tech enthusiasts to experiment with the new features, report back findings and bugs. MicroK8s is the easiest way to get up and running with the latest version of K8s for testing and experimentation.

Sometimes the best way to understand something is to take it apart and see how it works. This blog post will help you take the lid off your Calico eBPF data plane based Kubernetes cluster and see how the forwarding is actually happening. The bonus is, unlike home repairs, you don’t even have to try to figure out how to put it back together again! The target audience for this post is users who are already running a cluster with the eBPF data plane, either as a proof-of-concept or in production.

Current observability practice is largely based on manual instrumentation, which requires adding code in relevant points in the user’s business logic code to generate telemetry data. This can become quite burdensome and create a barrier to entry for many wishing to implement observability in their environment. This is especially true in Kubernetes environments and microservices architecture.