Operations | Monitoring | ITSM | DevOps | Cloud

Sponsored Post

Build vs Buy Monitoring: The Real Cost Breakdown for IT Teams

Every IT team eventually faces this question: should we build our own monitoring system or buy an existing solution? On the surface, building seems attractive. You get complete control, no vendor lock-in, and the illusion of "free" since you're using internal resources. But the math rarely works out that way. Let's break down what it actually costs to build, when building genuinely makes sense, and how to make the right decision for your team.

Avoid the Swivel-Chair Tool Stack: Conway Corporation on Why Kentik Wins

Everett Sinclair, Network Administrator at Conway Corporation, explains why Kentik became their “one pane of glass” for cloud-based network visibility, rapid troubleshooting, and smarter peering and caching decisions. With Kentik’s SaaS network intelligence platform, Conway gets updates automatically, avoids server rebuilds, and can deploy cloud agents remotely to run simple metric tests close to customer locations.

How Race Communications Automates DDoS Mitigation with Kentik

Sorin Esanu, Director of Network Engineering at Race Communications, explains why deep, always-on network intelligence is essential when you have massive volumes of traffic moving in and out from many sources. After outgrowing an on-prem tool that required ongoing maintenance and didn’t deliver the analytics they needed, Race chose Kentik for richer visibility, daily traffic optimization, and improved security.

Harness Artifact Registry: Your Unified OCI-Compliant Gateway for Secure Artifact Management | Harness Blog

If you've worked with builds and deployments, then you already know how central Docker images, dependencies, and containers are to modern software delivery. The introduction of Docker revolutionised how we package and run software, while the Open Container Initiative (OCI) brought much-needed standardisation to container formats and distribution. Docker made containers mainstream; OCI made them universal.

SquaredUp vs Grafana: The Enterprise IT dashboard showdown

Modern enterprises operate across an increasingly complex mix of hybrid cloud services, and productivity platforms. As environments scale, stakeholders need a single pane of glass (SPoG) to understand what’s happening across IT operations without jumping across dozens of disconnected tools.

Making Security Invisible for Game Developers

Security that developers never have to think about. That's the goal Audrey Long, Senior Gaming Cloud Security Architect at Microsoft Gaming Security, set out to achieve, and then actually built. In this GitKon session, Audrey walks through how Microsoft Gaming tackled a massive identity security challenge across double-digit Entra ID tenants spanning independent game studios. With no existing tooling that fit the pace of game development, her team built the Entra ID Tenant Security Scanner from scratch using the Maester Framework, custom PowerShell, and GitHub Actions.

Measuring Developer Productivity: Prove Impact | Harness Blog

The best engineering teams rely on data-driven frameworks like DORA metrics and SPACE to measure developer productivity and demonstrate business impact. This guide explores proven measurement approaches that move beyond vanity metrics to capture real engineering value and team performance. Your developer productivity initiative didn't collapse because the data was wrong. It stalled because it couldn't answer the business question. Leadership asked, "So what?".

How to Find, Develop, and Retain Your A-Players

Most teams aren't full of A-players because most leaders are playing the wrong game. They're chasing expensive talent with perfect resumes instead of identifying people who can be A-players in their specific context. The best leaders know how to spot undervalued talent, develop them systematically, and create environments where top performers choose to stay. This session shows you how to build your own talent factory instead of competing for the same overpriced candidates as everyone else.

Regression Testing: What it is, why it matters, and how to automate it with CI/CD

Regression testing is the practice of re-running existing tests after a code change to confirm that previously working functionality hasn’t broken. It answers a single question: did this change break something that used to work? In CI/CD pipelines, regression tests run automatically on every commit, giving teams immediate feedback before code reaches production.

Preventing SLA Breaches With Proactive Monitoring as MSPs Move Toward Autonomous IT

AI-first hybrid observability with proactive monitoring helps MSPs protect SLAs as they move toward autonomous IT by getting engineers the right alerts before issues impact service. Managed services lives and dies on timing. The difference between a minor issue and a customer-facing incident often comes down to how early an engineer gets the right signal and how quickly they can act on it. That timing shows up in SLAs, service credits, escalations, and the trust you earn when customers feel taken care of.