Operations | Monitoring | ITSM | DevOps | Cloud

Empowering IT Ops with Low-Code Automation: Simplify, Scale, Succeed

A common misconception surrounding IT automation is that it always requires in-depth technical expertise. That certainly helps, but it’s by no means a requirement anymore. There are a few developments powering this shift, but the advent of low-code automation tools is one of the most important.

Want to grow your revenues? Think Microsoft managed services.

As an MSP, you basically have three options if you want to grow your revenues: go out and win more customers, sell more to the customers you have, or try to do both. Whichever path you choose, you need a killer offer, and these days it’s tough to beat a Microsoft Teams service. Millions of businesses rely on Teams for productivity, which means the potential market is huge. And has become strategically critical: companies need it to perform with high reliability and zero friction.

Introducing Agentic CTO: executive oversight in every incident

At incident.io, we've always focused on empowering your team to manage incidents calmly, confidently, and effectively. Today, we’re introducing a powerful new addition to our suite of AI incident responders — one designed to bring a new layer of strategic oversight to your engineering organization: Agentic CTO.

CircleCI deploys: Enterprise-scale deployment automation with zero downtime

Discover how CircleCI enables enterprises to safely manage thousands of daily deployments at scale. In this short demo, we showcase: Learn how CircleCI Deploys eliminates manual intervention while ensuring production stability. Perfect for DevOps teams looking to automate deployment workflows and implement progressive delivery strategies in enterprise environments.

This Month in Datadog: Reference Tables is generally available, Attacker Clustering, and more

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog.

Kubernetes Monitoring: One view for observing all your storage volumes

If you want to observe your entire Kubernetes environment, you need visibility into all of your resources, including storage volumes. But monitoring Kubernetes storage hasn’t always been easy, especially if you wanted to see how it related to other parts of your infrastructure.

Using eBPF for modern IT observability: challenges and opportunities

Modern IT demands modern observability that flows with its dynamism and all-encompassing approach. Modern observability must overcome the constraints suffered by traditional monitoring due to its custom-built agent-based architectures. Monitoring tools converge poll-based methods with log analysis and application performance monitoring (APM), a process that can be slow and lacking in granularity that today's complex environments demand.

Simplify multi-cloud cost management with FOCUS and Datadog

When your cloud environment spans multiple cloud service providers (CSPs) and SaaS providers, it can be challenging to collect cost and usage data in a way that gives you complete visibility. Each provider formats its data according to a unique billing model, and these inconsistencies can leave you with fragmented information about your total cloud spend.

Postmortem Template to Optimize Your Incident Response

A postmortem template is a structured tool for documenting incidents, understanding their causes, and learning how to prevent them in the future. This article explains the essential elements of an effective postmortem and how ilert can streamline this process, making your incident response more efficient. It also offers a downloadable version of a postmortem template that you can use if you haven't yet utilized an incident management platform in your organization.

Webinar: Petabyte Scale, Gigabyte Costs: Mezmo's ElasticSearch to Quickwit Evolution

Many engineering teams rely on ElasticSearch for search and analytics, but as data volumes grow, so do the challenges of scale, cost, and performance. At Mezmo, we faced this reality head-on, recognizing the need for a more efficient and scalable solution to support our multi-cluster, multi-petabyte telemetry data backend. After extensive evaluation, we made the leap to Quickwit, an open-source, cloud-native search engine for logs. But making such a fundamental architectural shift—without disrupting customers—was no small feat.