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Three Ways to Assure Network Quality

What is the quality of your network? More to the point, what is the quality of the network experience? Do your employees think that your network is slow? Merely adequate? Speedy? At the highest level, this is what network operations teams need to understand how to answer. And this needs to be answered no matter how complicated the network path is between endpoints. We’ll take a look at three things that can help you get a handle on these questions.

How to use Tailscale for gRPC authentication in Golang

Friends of this blog know that I am a big fan of building internal tools, or as we call them, "tools that help scale people". As the name suggests, internal tools are used, well, internally and as such usually will require their access to be restricted to the company's staff and network. In the past, I've written about how to use Tailscale for authentication of internal tools using HTTP. In this post, I will show you how to use Tailscale for gRPC authentication in Golang.

Heroku: the PaaS of the Past Struggles To Keep Up

If there's one thing almost every developer has done in their life, it's deploy an application to Heroku. From their launch in 2007, Heroku dominated PaaS and caught the attention of Salesforce who acquired them in 2010. They had the first managed Postgres service in 2011, an easy to use CLI, and, last but not least, it was free to get started which led to a big uptick in initial popularity. Every side project from here to the moon went to Heroku.

Six Compelling Reasons to Choose SolarWinds Every Day, Every Time

Technology investments in today’s digital economy are crucial in achieving your business goals and gaining a competitive edge. As business strategies evolve and technology advances, IT environments are becoming increasingly complex and hybrid while budgets remain stagnant. Choosing the right solution to manage your technology stack is vital to deliver superior application experiences and meet your performance, availability, and operational requirements.

Frontend Debugging Is Bad and it Should Feel Bad

There’s a sentence that strikes fear into the heart of every frontend developer I've ever met: Users are reporting issues, and we don't know how to replicate them. What do you do when that happens? Do you cry? Do you mark the issue as wontfix and move on? Personally, I took the road less traveled: gave up frontend engineering and moved into product management (this is not actually accurate but it's a good joke and it feels truthy).

How an All-in-One AI Advisor Enables IT Teams to Stay Ahead of the Curve

Ever since generative AI burst into public consciousness, business executives and IT leaders have been intrigued by the potential of generative AI to transform IT. As it turns out, generative AI has already begun revolutionizing ITOps and we are excited to be at the forefront of this game-changing technology through the ScienceLogic SL1 Hollywood release.

What Dynatrace doesn't want you to know about Cisco Full-stack Observability and AppDynamics

Cisco Full-Stack Observability is a strategic investment that outshines Dynatrace by incorporating AI-driven insights, full-stack visibility, and a future-proof design that adapts to your evolving business needs. Application experience is the heart of your digital business, so choosing the right observability platform is not just a technical decision — it’s strategic.

The five most common HTTP errors according to Google

Have you ever wondered what goes behind those annoying 'Oops, something went wrong' messages on the web? You're not alone. A simple Google search for the most common HTTP errors throws up names we've all seen at least once: Not Found, Unauthorized, Forbidden, Internal Server Error, and Bad Request. It's like a secret code that both frustrates and fascinates.

Generative AI and developer experience

From its initial appearance in the dev-tools space, GenAI has had an outsized impact on how developers approach day-to-day tasks (just ask any developer about when they first started using GitHub’s copilot). While any risks are still being evaluated—like potential for introducing anti-patterns or inadvertently running afoul of compliance requirements, many engineering teams have successfully implemented GenAI with measurable gains in collaboration and productivity.