Operations | Monitoring | ITSM | DevOps | Cloud

Extending autonomous L1 ops with new suppression and runbook capabilities

Earlier this year, I had the chance to meet with one of our airline customers. During the meeting, we discussed how to use agentic technology to automate L1 workflows. As one of the largest global airlines, they have many applications and service teams focused on flight-critical, tier 1 environments. Any downtime can cause costly delays and unhappy customers.

Back-to-school demand, handled: AI-powered capacity planning in one cloud DCIM

When back-to-school demand shifts overnight, your team can’t afford to chase answers across scattered spreadsheets and tools. You need a clear picture of available capacity, constraints, and priorities—all in one place. Hyperview’s cloud-based DCIM offers AI-powered capacity planning software that puts real-time capacity insights on a single dashboard, so you can act quickly and confidently as seasonal demand ramps up.

Akamai Cloud Partners with Control Plane to Leverage Universal Cloud Identity

Control Plane is now a technology partner of Akamai Cloud. You can add regions from Akamai Cloud to your Global Virtual Cloud in Control Plane. And by leveraging Control Plane’s Universal Cloud Identity, workloads running on Akamai Cloud regions can still consume any service of AWS, GCP, or Azure with no credentials embedded in the workload.

The 12 Tools I Actually Use to Automate Kubernetes Deployments (2026)

A practitioner's category-by-category breakdown of the best tools for automating Kubernetes deployments in 2026 - Argo CD, Flux CD, Helm, Kustomize, KEDA, Kyverno, OPA Gatekeeper, Karpenter, Cluster Autoscaler, Rancher, Portainer, Terraform and Crossplane - plus which 3 to 5 you actually need, and how a platform like Qovery automates the whole chain from cluster creation to upgrades in under 15 minutes. Romaric founded Qovery to make Kubernetes accessible to every engineering team.

Exploring Cron Function Containers

Function containers on Cycle have always been the efficient way to run batch jobs and workloads, with far more customization than traditional FaaS or serverless. What they couldn't do was run themselves. Over the past year, team after team told us the same thing: they wanted these functions on a schedule without standing up and babysitting a cron service. As of this release, Cycle fully supports CRON scheduled function containers.

PayEscape Review: The Ultimate Payroll Service For UK Businesses

We're always on the lookout for new services and software solutions that help UK businesses, particularly when it comes to payroll. While there are many payroll services out there, few stand out as brightly as PayEscape. It's a service that immediately attracted our attention due to some standout features - but what is it actually like, how does it compare with its closes competitors, and what types of businesses may benefit from it? Find out in our detailed review below.

Crypto Payment Gateways for Hard-to-Place Merchants

Merchants in difficult categories usually solve acceptance twice. The first solution is a specialist card processor with higher rates, a rolling reserve and deeper underwriting. The second is a crypto rail, which removes the reserve and the chargeback entirely and replaces them with a different set of problems. This piece is about the second solution and where it does and does not fit.

The Recruiting Tech Stack: AI Matching Tools and Dynamic QR Codes Explained

Recruiting technology conversations tend to circle back to the same handful of systems: the ATS, the HRIS, maybe a video interview platform if the organization has scaled past a certain size. Those systems matter, but they're not where a lot of the actual friction in hiring lives anymore. The friction has moved to the edges of the process, the moment a candidate first encounters a job posting, and the gap between submitting an application and actually landing in front of the right hiring manager.

AI Demand Is Surging, Now Comes the Cost of Meeting It

Another wave of corporate reports shows that the boom in artificial intelligence continues to generate returns for investors. At the same time, however, its other side is becoming increasingly apparent. The main problem for the industry remains not a lack of demand, but the cost of meeting it. Companies are ready to sign multibillion-dollar contracts for computing power, but to fulfill them they have to rapidly ramp up capital expenditures, purchase accelerators, and build new data centers.