Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

5 Hardware Myths preventing a Sustainable and Cost-Effective Digital Workplace

If you are still operating on a yearly hardware refresh schedule, with devices replaced after three or four years of service, you’re living in the past. These schedules are not based on any real viability assessment, but rather on an indiscriminate time factor or warranty lapse. Innovative and sustainable digital workplace teams are embracing performance-based refresh strategies instead, but obstacles to this new strategy proliferate.

How to reduce failures with failover clusters

Outages can't always be prevented, but they can always be mitigated. This is exactly why your sysadmins and SREs have their eyes glued to dashboards and NOC views. A recent example of an outage gone wrong is when Microsoft's own defense systems amplified a DDoS attack due to an inaccurate configuration. In the unfortunate event of an outage, how can your organization ensure minimal disruption? When it comes to a Windows server environment, the answer is Microsoft failover clusters.

Product Update: Helm Charts for InfluxDB Clustered

InfluxDB Clustered is an on-prem offering of InfluxDB 3.0, allowing you to deploy the newest version of InfluxDB on your own hardware and manage it with your team. With InfluxDB Clustered, you get high availability and performance out of the box and the ability to fine-tune InfluxDB to fit the performance requirements of your specific use case. InfluxDB Clustered is deployed and managed using Kubernetes.

Beyond RAG basics: Advanced strategies for AI applications

Our recent virtual event with Cohere dove deep into the world of retrieval augmented generation (RAG), focusing on the critical considerations for building RAG applications beyond the proof-of-concept stage. Our speakers, Lily Adler, principal solutions architect at Elastic, and Maxime Voisin, senior product manager at Cohere, shared valuable insights on the challenges, solutions, and best practices in this evolving field of natural language processing (NLP).

OpenTelemetry vs Datadog - Choosing the Right Monitoring Tool

OpenTelemetry and DataDog are both used for monitoring applications. While OpenTelemetry is an open source observability framework, DataDog is a cloud-monitoring SaaS service. OpenTelemetry is a collection of tools, APIs, and SDKs that help generate and collect telemetry data (logs, metrics, and traces). OpenTelemetry does not provide a storage and visualization layer, while DataDog does.

OpenTelemetry vs. OpenTracing - Decoding the Future of Telemetry Data

OpenTelemetry and OpenTracing are open-source projects used to instrument application code for generating telemetry data. While OpenTelemetry can help you generate logs, metrics, and traces, OpenTracing focuses on generating traces for distributed applications. If you’re thinking of choosing between OpenTelemetry and OpenTracing, go for OpenTelemetry. OpenTracing is now deprecated, and users of OpenTracing are advised to migrate to OpenTelemetry.

Monitoring Specific Components and Regions in Your Third-Party Services

Chances are, most of your third-party cloud and SaaS dependencies are globally distributed and have many regions of operation. Chances are, your applications use a subset of a cloud or SaaS service. If you are monitoring such a service, why should you receive alerts for all regions or every single component in the service? E.g. if you use Digital Ocean, you might be using Kubernetes in their US locations (NYC and SFO). You would want to know only when there is an outage in one of these locations.

Introduction to K8s Horizontal Pod Autoscaling | Monitor Autoscaling in Splunk Observability Cloud

In this video, I’m going to introduce you to Horizontal Pod Autoscaling in Kubernetes and monitoring autoscaling events in Splunk Observability Cloud. I’ll first walk through our simple application deployment definition. We will analyze the metrics of that application in Splunk Observability cloud, identifying that the application is under resource pressure. I’ll then discuss the scaling options at our disposal, and we will walk through an implementation of a Horizontal Pod Autoscaler that will automatically scale our pods according to the load they are receiving.