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?

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.

Here is a blog about Azure Event Hubs monitoring and how Serverless360 helps you do it. Azure Event Hub is an event collection service and big data streaming platform. It is highly scalable and can handle millions of events per second. Azure Event Hubs are simple, secure real-time data and instantly connect millions of devices across platforms.

Google Cloud Platform (GCP) offers a wide range of features to support their core deliverable, highly available and scalable infrastructure-as-a-service. One of the features—GCP’s log management and available via GCP Log Explorer— is offered to support customers’ basic logging requirements.

In this tutorial, you’ll see how to deploy Solr on Kubernetes. You’ll also see how to use the Solr Operator to autoscale a SolrCloud cluster based on CPU with the help of the Horizontal Pod Autoscaler. Let’s get going! 🙂

Adaptive thresholding is a key capability in Splunk IT Service Intelligence (ITSI) that enables customers to dynamically monitor the status of their key performance indicators (KPIs) and derive meaningful service insights and alerts.

Logs serve as an invaluable resource for monitoring system health, debugging issues, and maintaining security. But as our applications grow more complex, the volume of logs they generate is increasing exponentially. While logs are crucial, not all log data is equally valuable. With the surge in volume, costs associated with storing and analyzing logs are skyrocketing, impacting both performance and cost. The need for effective log management is more urgent than ever.

Data warehouses and data lakes represent two of the leading solutions for enterprise data management in 2023. While data warehouses and data lakes may share some overlapping features and use cases, there are fundamental differences in the data management philosophies, design characteristics, and ideal use conditions for each of these technologies.

If you mention 'log data' at a crowded business event, you'll quickly be able to tell who's in IT and who isn't. For the average person, log data is about as thrilling as a dental appointment or reconciling a years-old bank account. At the mere mention of log data, their eyes glaze over as they search for an escape from the conversation. Conversely, IT professionals' eyes light up and they become animated when the topic of log data arises.

At the recent KubeCon EU, we learned the significant news of the FluentBit v2.0 major release with numerous new features. What’s new and what’s to come for this key log aggregation tool? On the latest OpenObservability Talks, I hosted Eduardo Silva, one of the maintainers of Fluentd, a creator of Fluent Bit and co-founder of Calyptia.