Operations | Monitoring | ITSM | DevOps | Cloud

Laravel development services have been growing in popularity, with the Laravel framework often being compared to CakePHP. This article will show how to choose the best framework to meet specific business or solution requirements in the most effective way. Laravel and CakePHP are both very popular PHP frameworks. PHP is often used for creating dynamic websites or building high-end apps. PHP frameworks make it possible to create affordable websites with impressive UI/UX.

The linux-aws 4.15 based kernel, which is the default kernel in the Ubuntu 18.04 LTS AMIs, is moving to a rolling kernel model.

When it comes to building a website, there is so much to think about. And in this case, you can certainly learn from the mistakes of others. So, what are the common mistakes when planning a website, and how can you play it safe? Having analyzed dozens of websites, we've come up with ten most common mistakes to avoid before starting your website. Make sure to tune in, and let's get started.

Apache Arrow, a specification for an in memory columnar data format, and associated projects: Parquet for compressed on disk data, Flight for highly efficient RPC, and other projects for in-memory query processing will likely shape the future of OLAP and data warehousing systems. This will mostly be driven by the promise of interoperability between projects, paired with massive performance gains for pushing and pulling data in and out of big data systems.

Red Hat OpenShift is a Kubernetes-based platform that helps enterprise users deploy and maintain containerized applications. Users can deploy OpenShift as a self-managed cluster or use a managed service, which are available from major cloud providers including AWS, Azure, and IBM Cloud. OpenShift provides a range of benefits over a self-hosted Kubernetes installation or a managed Kubernetes service (e.g., Amazon EKS, Google Kubernetes Engine, or Azure Kubernetes Service).

In Part 1, we explored three primary types of metrics for monitoring your Red Hat OpenShift environment: We also looked at how logs and events from both the control plane and your pods provide valuable insights into how your cluster is performing. In this post, we’ll look at how you can use Datadog to get end-to-end visibility into your entire OpenShift environment.

In Part 1 of this series, we looked at the key observability data you should track in order to monitor the health and performance of your Red Hat OpenShift environment. Broadly speaking, these include cluster state data, resource usage metrics, and information about cluster activity such as control plane metrics and cluster events. In this post, we’ll cover how to access this information using tools and services that come with a standard OpenShift installation.

There are some really crucial metrics that are valuable in terms of the insights they offer. Such metrics include user logins, application throughput, network usage and more. Ironically however, some of these metrics are also the ones that are the most variable, having definite valleys and peaks depending on specific times of a week and because of this, it becomes invariably difficult to set up thresholds for analysis and investigation.

While some companies have never experienced a serious outage in services, it's still smart to invest in a monitoring tool for detecting server downtime. In doing so, it's possible to diagnose problems before they spiral out of control. Organizations may first consider free, open-source tools as a cost-effective alternative to paid enterprise versions. However, these free tools require deeper technical understanding to use them efficiently, with regular manual configurations and updates.

MS SQL, Microsoft’s relational database management system (RDBMS), is known for its broad spectrum of capabilities such as transaction processing, business intelligence, and analytics. This is why most businesses trust and invest in SQL for their data storage and access needs. What are the benefits of monitoring SQL servers? Applications Manager offers proactive SQL server monitoring.