Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Enable Kong Gateway Tracing in 5 Minutes

Kong Gateway is a popular API gateway that sits at the edge of your infrastructure, routing and shaping traffic across microservices. It’s fast, pluggable, and battle-tested, but for many teams, it remains a black box. You might have OpenTelemetry set up across your application stack. Traces flow from your app servers, databases, and third-party APIs. But the moment a request enters through Kong, observability drops off.

Build Log Automation with Last9's Query API

Manual log investigation is one of those engineering tasks that quietly drains hours without offering much real value. You're debugging an incident. Monitoring shows elevated error rates. Now begins the familiar drill: It’s a tedious cycle, and it doesn’t scale. The whole process breaks down when you’re trying to automate incident response, run continuous security monitoring, or generate compliance reports.

Control IP Requests with Ease: LightMesh Requestor Workflows

In growing organizations, network requests pile up and so does the risk of delays, miscommunication, or misconfigurations. Whether a developer needs a static IP for a staging server or a project team is scaling infrastructure, manual processes don’t scale with you. LightMesh Requestor Workflow gives your users a secure, controlled way to request static IP addresses — without granting access to your entire IP address management (IPAM) platform. Admins stay in control. IT team stays productive.

Prevent Non-Person Accounts (NPA) Expiration Outages with Resolve

Expired non-person accounts can silently break system integrations and cause major outages—often overnight. In this video, see how Resolve automates the detection and extension of non-person account expirations across systems. Learn how to eliminate manual tracking, reduce risk, and keep your critical services running smoothly.

What's Next for Cloud in India? Help Shape the Future with Our Cost Survey

As the cloud computing industry continues to evolve in India, it's becoming increasingly important for organizations to understand the complexities and challenges associated with it. Last year, we released a whitepaper on the cost of cloud that gathered insights from over 500 industry professionals. While this helped us understand more about the rising cloud costs, complex billing models, and vendor lock-in within the UK, it was unclear how this differed for the Indian market.

5 Ways to Accelerate Product Delivery Without Managing Infrastructure

Is slow product delivery holding you back? This article explores how traditional infrastructure management creates significant bottlenecks, from time-consuming provisioning to inconsistent environments. Discover 5 strategies to streamline your delivery without managing infrastructure, including fully managed services, on-demand ephemeral environments, GitOps, self-service deployment platforms, and intelligent container orchestration.

Introducing Live Call Routing for Incident Response

Today, we are introducing Live Call Routing, a direct phone line that connects incoming calls to on-call engineers. It captures human-reported incidents that monitoring tools might miss—closing the loop between automated alerts and real-world observations so nothing falls through the cracks. It helps you respond to critical incidents faster by eliminating manual call routing, reducing response times from minutes to seconds.

The Rise of Tech Events in India: A New Era for Cloud-Native Computing

As India emerges as a significant player in the global public cloud landscape, with its public cloud services market projected to reach $25.5 billion by 2028 at a CAGR of 24.3% for 2023-28, the country is witnessing a surge in tech events. This growth is mirrored in the live events market, which is experiencing a 15% YoY growth, fostering a stronger community and facilitating the exchange of ideas and innovation in the public cloud sector.

FinOps For AI: How Crawl, Walk, Run Works For Managing AI Costs

“It started as an experiment.” That’s how it begins at most companies. A small team spins up a few GPU instances to train a proof-of-concept model. Maybe it’s a fraud detection algorithm. Maybe it’s GenAI for support tickets. Either way, it’s just a test. Then the results come in, and they’re promising. Suddenly, that model is powering new features. Teams are fine-tuning LLMs in parallel.