Operations | Monitoring | ITSM | DevOps | Cloud

These release notes describe new features, improvements and fixed issues in Pandora FMS NG 748. They also provide information about upgrades and describe some workarounds for known issues.

OpenID Connect (OIDC) is an authentication layer based on OAuth 2.0 protocol that provides a way to identify and authenticate users via an authorization server. OAuth 2.0 authorization servers are managed by identity providers. In the domain associated with OIDC, they are also called OpenID Connect Providers (OPs). OIDC allows users to connect to web applications in a simplistic single sign-on (SSO) manner thanks to the identity provider.

As work from home has ballooned in 2020, virtual methods for communicating with colleagues have become more critical than ever. Same goes for all the useful productivity and collaboration tools at our disposal. The emerging downside is the difficulty of finding needed information among so many tools. Compounding the problem is the tendency for info to get siloed off by department.

In this blog post series, I’ve explored the relationship between observability and a set of software delivery lifecycle practices that help organizations adopt DevOps practices and change their ways of working from being project centric to product-centric. I started with Site Reliability Engineering, then considered Value Stream Management (VSM) and finish with this post on Continuous Integration and Delivery (CI/CD). Defining Continuous Integration

We have explored how we can deploy Machine Learning models using AWS Lambda. Deploying ML models with AWS Lambda is suitable for early-stage projects as there are certain limitations in using Lambda function. However, this is not a reason to worry if you need to utilize AWS Lambda to its full potential for your Machine Learning project. When working with Lambda functions its a constant worry about the size of deployment packages for a developer.

Markley Group is a Boston-based data center leader that provides co-location and private cloud services through a three-million square foot data center portfolio. The company was founded in 1991, when there was no such thing as the cloud. Today, many of its customers are experimenting in public cloud but often have workload requirements which are better suited or more affordable running on private infrastructure, according to Patrick Houston, Director of Engineering at Markley Group.

The OpenTelemetry Collector is a new, vendor-agnostic agent that can receive and send metrics and traces of many formats. It is a powerful tool in a cloud-native observability stack, especially when you have apps using multiple distributed tracing formats, like Zipkin and Jaeger; or, you want to send data to multiple backends like an in-house solution and a vendor. This article will walk you through configuring and deploying the OpenTelemetry Collector for such scenarios.

Thales Cloud Protection & Licensing, part of the Thales Group, was looking to improve how it handles critical incidents. Whenever an incident hit just gathering up the incident team would be a cumbersome and time-consuming task that involved a lot of manual work . Multiple calendar invites would be sent to different people in and outside of the organization, multiple times, urging them to join calls and meetings.

Whether you are planning to use Graylog for security and threat hunting, IT Operations analysis and reporting, or any other use case, getting your logs into Graylog is essential. The process of log collection is sometimes a daunting task, especially if you are planning to collect massive amounts of data. But if you take a minute to answer some key questions before you begin, you can transform the log collection task from daunting to smooth sailing. Here we go with the questions...

Keeping track of what’s going on in Kubernetes isn’t easy. It’s an environment where things move quickly, individual containers come and go, and a large number of independent processes involving separate users may all be happening at the same time. Container-based systems are by their nature optimized for rapid, efficient response to a heavy load of requests from multiple users in a highly abstracted environment and not for high-visibility, real-time monitoring.