Operations | Monitoring | ITSM | DevOps | Cloud

Enterprise companies are increasingly turning to shared services teams to enhance operational efficiency and reduce costs. This shift is driven by workforce reductions, technological advancements, and the integration of artificial intelligence (AI), enabling organizations to achieve more with fewer resources.

Enterprises and organizations are continually seeking strategies to enhance efficiency, reduce costs, and maintain a competitive edge. One such strategy that has gained prominence is the implementation of a Global Business Services (GBS) model. This approach centralizes various support functions across a company, fostering streamlined operations and improved service delivery for internal employees and external customers.

DevOps’s concept and development have significantly changed how IT teams work in the last decade. Small and large teams alike can see the difference when they switch from traditional software development cycles to a DevOps cycle: However, effectively embracing DevOps takes work. Thankfully, there are many ways to navigate this challenging journey, and this article will explore the four most effective ones.

Amazon Web Services (AWS) introduced Savings Plans to offer customers a more flexible and discounted pricing model than Reserved Instances. Like Reserved Instances, AWS Savings Plans offer discounts for longer-term commitments. You can learn more about the differences between Reserved Instances (RIs) and Savings Plans here. In this post, we’ll quickly explain AWS Savings Plans, how they work, and what they can and cannot do for you.

A DevOps Self-Assessment provides 15 questions about your DevOps processes and practices and ranks the maturity of your DevOps initiative. Achieving better business outcomes hinges on the ability to release software faster and provide responsive support. DevOps maturity assessments play a critical role in this process by helping organizations pinpoint inefficiencies, identify gaps in collaboration, and refine their workflows.

We are thrilled to announce that Kosli has joined the Fintech Open Source Foundation (FINOS), a Linux Foundation organization dedicated to fostering collaboration and innovation in financial services technology. Our goal is to engage the community establishing common standards and automation practices for DevOps controls and change management automation.

One of the hardest parts of my job is to get people to appreciate just how much of a difference Honeycomb/observability 2.0 is compared to their current way of working. It’s not just a small step up or a linear improvement. Rather, it’s an entire step change in the way that you write, deploy, and operate software for your customers.

Disk IO (Input/Output) is a core aspect of system performance. Whether you’re managing a database, a web application, or a cloud server, how efficiently your system reads and writes data affects everything from response times to stability. Unlike high CPU usage or memory bottlenecks that often manifest immediately, disk IO issues tend to creep up silently—until they slow down critical processes.

Imagine you’ve got a leaky faucet in your kitchen. At first, it’s just a drip here and there—annoying, sure, but not enough to ruin your day. But leave it unchecked, and soon that drip turns into a steady trickle. Your water bill skyrockets, the sink overflows, and before you know it, you’re ankle-deep in chaos. Now, replace that faucet with a Linux system, and you’ve got a memory leak.

Every server administrator’s nightmare starts with a message: “CPU usage at 100%” It’s that critical moment when your Linux server transforms from a reliable workhorse into a sluggish mess, taking your applications and user experience down. We’ve all been there… staring at a terminal, watching load averages climb, while frantically trying to figure out which process decided to throw a CPU-hungry party on our server.