Operations | Monitoring | ITSM | DevOps | Cloud

It was a rainy day in Seattle at KubeCon + CloudNativeCon North America in December 2018 when I first encountered the term ‘OpenTelemetry.’ At that time, I was an active member of a working group focused on developing W3C Trace Context, a standard now extensively employed for context propagation in distributed systems.

The OpenTelemetry Collector is a useful application to have in your stack. However, deploying it has always felt a little time consuming: working out how to host the config, building the deployments, etc. The good news is the OpenTelemetry team also produces Helm charts for the Collector, and I’ve started leveraging them. There are a few things to think about when using them though, so I thought I’d go through them here.

In the fast-paced universe of software development, especially in the cloud-native realm, DevOps and SRE teams are increasingly emerging as essential partners in application stability and growth. DevOps engineers continuously optimize software delivery, while SRE teams act as the stewards of application reliability, scalability, and top-tier performance. The challenge?

Before adopting any new SaaS (Software-as-a-Service) business tools, the IT department of an organization should evaluate whether it is wise to trust the SaaS product and indeed vendor.

The increased use of multiple cloud environments for business software and applications combined with the volume of consumers and different devices demanding reliable, fast connectivity has put an enormous strain on IT infrastructure. Overly complex networks that need to link highly disparate devices and servers can’t also provide speed and consistency while using outdated architecture.

Logz.io continues to be recognized as a standout observability platform, this time being named by the Constellation Shortlist for Observability. Logz.io—provider of the Open 360™ platform for essential observability—was among 14 vendors selected after a review of more than 50 solutions based on client inquiries, partner conversations, customer references, vendor selection projects, market share and other internal research.

To help simplify instrumenting Spring Boot applications with Grafana Cloud, we are excited to introduce the Grafana OpenTelemetry Starter, a project that connects the latest Micrometer enhancements from Spring Boot 3 with Grafana Cloud using OpenTelemetry. By using these tools, you will have logs, metrics, and traces in a single service — in the same easy way that you can use Prometheus with Spring Boot.

We're in a peak tech winter. What should engineering teams focus on when product velocity dwindles?

As a wise man once said, never ask a goat to install software, they’ll just end up eating the instructions. It may appear that the pesky goats have eaten some of those instructions or eaten too many sticker bushes to keep up with recent Microsoft Sentinel changes if you’ve tried configuring the CEF and Azure Connected Machine Agents. This guide is for you whether you have spent considerable time trying to get these agents to work or just dabbling in the Sentinel waters!

Predictive analytics harnesses the power of big data, statistical algorithms and machine learning techniques to anticipate future outcomes based on historical data. Various industries use predictive analytics, from finance and healthcare to retail and marketing. Among its many uses, predictive maintenance and anomaly detection are two significant applications.