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

Using DCIM to Consolidate Multiple Tools for a Single Source of Truth

Modern data centers depend on multiple teams, each using their own systems—CMDBs, ticketing platforms, cloud and virtualization tools, network and server management software, observability stacks, collaboration apps, and countless spreadsheets. Each tool provides important insights, but together they create a complex and sprawling technology landscape.

Logstash Alternative: Why Security Teams Are Choosing Modern Data Pipelines

Logstash has been a workhorse in data processing pipelines for years, but it was not designed with today’s security operations in mind. Security teams now deal with massive telemetry volumes, rising SIEM costs, and diverse log formats that require constant normalization. In this environment, Logstash shows its age: manual configuration, outdated parsing, and scalability bottlenecks introduce fragility instead of efficiency.

Kubernetes Service Discovery Explained with Practical Examples

In Kubernetes, applications are constantly changing — new pods start, old ones shut down, workloads shift across nodes. The challenge is making sure that different parts of your system, and even external clients, can still find each other when the actual locations keep moving. That’s what service discovery handles. It provides a stable way for applications to connect and communicate, no matter where they’re running or how often the underlying infrastructure changes.

Mastering the User Off-Boarding Process

When someone leaves your organisation — whether they resign, retire, or are let go — it’s easy to think the hard work is over. But the moment an employee’s last day arrives, a new risk window opens. If their access isn’t revoked properly or their data isn’t captured, organisations face security breaches, data loss, compliance issues, and rising costs. This is why a well-designed user off-boarding process is just as important as onboarding.

AI's False Efficiency Curve: How To Save And Protect Your Margins

The popular narrative around AI economics is changing. At one time, Moore’s Law conditioned us to expect that smarter, faster computing would steadily get cheaper. When it comes to AI, that expectation holds true at the unit level. Per-token costs are indeed declining. But the number of tokens consumed per task is growing exponentially, making total costs spike. The tension here is important: on paper, inference is getting cheaper.

Looking Back, Looking Ahead: Thoughts on My First Year at Speedscale

When I started at Speedscale, I looked like this: And after one year of learning, growing, and keeping pace with innovation well, let’s just say the journey has left its mark: Of course, I’m joking (sort of). The truth is, this past year has been intense, energizing, and filled with new challenges. If anything, it’s made me feel younger in spirit, even if the mirror might disagree some mornings.

You Built Your Own Certificate Management System - It's Already Broken

You were tired of renewing all those certificates, and Certbot looked so easy. Now you have scripts thousands of lines long filled with command line incantations you have to Google every time you open it. The script is running on all the critical servers. And some of the printers. If someone looks at it the wrong way, a certificate expires.