In my first post in the Kubernetes Logging Simplified blog series, I touched on some of the ‘need to know’ concepts and architectures to effectively manage your application logs in Kubernetes – providing steps on how to implement a Cluster-level logging solution to debug and analyze your application workloads. In my second post, I’m going to touch on another signal to keep an eye on: Kubernetes events.
2020 was a difficult year for all of us, and it was no different for engineering teams. Many software releases were postponed, and the industry slowed its development speed quite a bit. But at least at AWS, some teams released updates out of the door at the end of the year. AWS Lambda received two significant improvements: With these two new features and Lambda Layers, we now have three ways to add code to Lambda that isn’t directly part of our Lambda function.
System and application logs provide crucial data for operators and developers to troubleshoot and keep applications healthy. Google Cloud automatically captures log data for its services and makes it available in Cloud Logging and Cloud Monitoring. As you add more services to your fleet, tasks such as determining a budget for storing logs data and performing granular cross-project analysis can become challenging.
In my last post (read here), we saw how CloudHedge enables enterprises to execute the transformation of WebSphere ND on Linux Apps to WebSphere Liberty Container in a non-intrusive way. As an addition to the previous post, this one talks about transforming WebSphere ND on AIX to WebSphere Liberty containers using CloudHedge’s App Modernization platform.
While containers are known for their multiple benefits for the enterprise, one should be aware of the complexity they carry, especially in large scale production environments. Having to deploy, reboot, upgrade or apply patches to patches to hundreds and hundreds of containers is no easy feat, even for experienced IT teams. Different types of Kubernetes solutions have emerged to address this issue.
In April 2020, MalwareHunterTeam found a number of suspicious files in an open directory and posted about them in a series of tweets. Trend Micro later confirmed that these files were part of the first cryptojacking malware by TeamTNT, a cybercrime group that specializes in attacking the cloud—typically using a malicious Docker image—and has proven itself to be both resourceful and creative.
This release brings 50 enhancements, up from 43 in Kubernetes 1.20 and 34 in Kubernetes 1.19. Of those 50 enhancements, 15 are graduating to Stable, 14 are existing features that keep improving, and a whopping 19 are completely new. It’s great to see old features, that have been around as long as 1.4, finally become GA. For example CronJob, PodDisruptionBudget, and sysctl support.
Kubernetes orchestrates clusters of machines to run container-based workloads. Building on the success of the container-based development model, it provides the tools to operate containers reliably at scale. The container-based development methodology is popular outside just the realm of open source and Linux though.
In today’s digital landscape, users expect applications to be available at all times and developers are expected to deploy new versions of these applications several times a day. Both of these expectations can be met by upgrading your Kubernetes cluster. Kubernetes is constantly getting new features and security updates, so your Kubernetes cluster needs to be kept up-to-date as well.
