Operations | Monitoring | ITSM | DevOps | Cloud

Splunk Cloud Platform has always been a powerful platform for aggregating, analyzing, and extracting actionable insights from your machine-generated data. As data volumes continue to grow exponentially, efficiently managing the ingestion of data into Splunk becomes crucial. To address this need, we are thrilled to announce the debut of Terraform support for the Splunk Cloud Platform.

We’re excited to share an update on our Microsoft Azure integration that automates discovery and mapping of key cloud assets into Tidal Accelerator. Tidal has enabled a new integration that pulls information on Azure Virtual Machines (VMs), Azure App Service, and Azure Database instances, Elastic Pools and Servers, directly into Tidal Accelerator for further analysis.

In today’s world, resilience is no longer a conditioned desire or methodology to try but has become a necessity for sustained success in software development and IT operations. As DevOps and Agile teams keep moving forward to cross boundaries, come up with new methodologies, and drive innovation, it is now important to have the ability to quickly recover from failures, adapt to changing conditions, and maintain high performance under pressure.

Graphite and Prometheus are both great tools for monitoring networks, servers, other infrastructure, and applications. Both Graphite and Prometheus are what we call time-series monitoring systems, meaning they both focus on monitoring metrics that record data points over time. At MetricFire we offer a hosted version of Graphite, so our users can try it out on our free trial and see which works better in their case.

Behind the trends of cloud-native architectures and microservices lies a technical complexity, a paradigm shift, and a rugged learning curve. This complexity manifests itself in the design, deployment, and security, as well as everything that concerns the monitoring and observability of applications running in distributed systems like Kubernetes. Fortunately, there are tools to help developers overcome these obstacles.

The report is so absurd and naive that it makes no sense to critique it in detail. - Kent Beck responding to the McKinsey Report. Luckily this was a hollow threat, because a few days later he and fellow blogger Gergely Orosz released a two part blog series critiquing not exactly Mckinsey's report but... any report that tried to put “effort based” metrics at the top of the list for things to track.

Your infrastructure doesn’t stand still. Continuous, data-driven management needs to be a part of everything you do. Join us for the live demo to see how the all-new Galileo SMARTboards enable fast decision-making and rapid remedial action.

Amazon’s Relational Database Service (Amazon RDS) offers a variety of database instances, which can be confusing at first. In this guide, we'll clarify what each RDS instance class, family, type, and size means in under 15 minutes. Let's start at the beginning.

As the name mentions, this will be something, like a cloud service, that can be triggered based on HTTP(S) requests.

Ten months have elapsed since we launched Harvester v1.1 back in October of last year. Harvester has since become an integral part of the Rancher platform, experiencing substantial growth within the community while gathering valuable user feedback along the way. Our dedicated team has been hard at work incorporating this feedback into our development process, and today, I am thrilled to introduce Harvester v1.2.0!