Operations | Monitoring | ITSM | DevOps | Cloud

BGP monitoring: Fixing the blind spot in your digital experience monitoring stack

Without Border Gateway Protocol (BGP) monitoring, your digital experience monitoring (DEM) stack can't detect the route hijacks, leaks, or instability that prevent users from reaching your applications. Most DEM stacks miss this entirely, and that gap is where some of the most damaging, hardest-to-diagnose outages happen.

How to Measure Digital Employee Experience and Prove IT's Real Impact

Talking about Digital Employee Experience (DEX) has moved beyond being a trend and become a strategic necessity. In a scenario where almost all work depends on technology, employees’ digital experience directly influences productivity, engagement, the ability to innovate, and even the company’s financial results. The challenge is that many organizations still try to assess DEX using only traditional indicators, such as ticket volume or system availability.

Monitor your Amazon Bedrock workloads with Applications Manager

Organizations are increasingly integrating GenAI capabilities into their applications to deliver richer, more contextual user experiences—from AI-powered customer support and enterprise search to content generation, virtual assistants, and automated workflows. To build and scale these GenAI-powered experiences, they are turning to platforms such as Amazon Bedrock, which provides access to foundation models that developers can integrate into their applications.
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The key to secure transmission: TLS in the Raygun ecosystem

As our lives increasingly move online and data becomes the lifeblood of business, secure data transmission is imperative. From personal conversations to financial transactions, from healthcare records to sensitive business data, nearly everything we do online requires trust that our data is protected. And if you've ever made an HTTPS request, TLS is behind it, providing that trust.

Just ask AI to add OpenTelemetry to your code

OpenTelemetry instrumentation used to mean hours of manual work, wiring up metrics service by service. Now you can just ask for it. Tell an AI agent what you're trying to observe, something like "add OpenTelemetry so I can track this application's performance," and it turns that into an intent specification, then enriches your existing code with instrumentation to match. OpenTelemetry is open source and on GitHub. Pairing it with an AI agent that actually understands your codebase is what turns "add some metrics" into instrumentation that's useful.

Creating Your 2027 IT Roadmap

We’re back with another roadmap stream! You might think to yourself, “Talking about 2027 already? Isn’t that a bit early? I’m still sweating and lying out by the pool!” But planning this far ahead will give you plenty of time to sort out priorities, talk to relevant parties, set your budget(s), and more. Having these discussions in August may feel extreme but the leaves will fall and the snow will pile up before you know it, so you might as well get started now!

Publicly available doesn't mean safe to pull right now

Open source is the backbone of most software. But should developers trust OSS? npm, PyPI, and Maven don't vet packages before publication, so "publicly available" doesn't automatically mean "safe to pull right now." A secure OSS posture is to trust the ecosystem but verify at ingestion: route packages and dependencies through a controlled layer that runs scanning, age checks, and malware detection before anything reaches a build.

AI's BIGGEST Problem, They're Losing Money!

For every $1 you pay OpenAI or Anthropic, it's costing them about $1.60. AI is running at a loss — so is the whole business model broken? The full bill for AI hasn't landed yet. In this ShipTalk short, Field CTOs Adam and Martin break down the economics of generative AI: why the frontier labs lose money on every prompt, why they'd need to raise prices ~60% just to break even, and the bet the entire industry is making — that inference costs drop fast enough to catch up. Plus the Gartner forecast every CFO should see: by 2028, the AI bill could be bigger than the employment bill.