Operations | Monitoring | ITSM | DevOps | Cloud

The Department of Defense (DoD) is on a mission to modernize its IT environments, radically changing the nature of its network operations (NetOps) in the department. Network availability and performance keep getting more integral to the DoD’s charter, which means downtime isn’t just troublesome, it’s a life-or-death matter. In this post, we’ll outline how key DoD modernization imperatives are affecting NetOps.

There is rapid adoption of artificial intelligence (AI) and machine learning (ML) in the finance sector. AI in banking is reshaping client experiences, including communication with financial service providers (for example, chat bots). Banks are exploring ways to use AI/ML to handle the high volume of loan applications and to improve their underwriting process.

With governments doubling down on logging compliance, many public sector organizations have been focusing on optimizing their log management, especially to ensure they retain logs for required periods of time. Logs — though seemingly straightforward — are the backbone of many mission-based use cases and therefore have the potential to accelerate mission success when centrally organized and leveraged strategically. In public sector, logs are instrumental in.

Virtualization has become an essential component of modern IT infrastructure, enabling organizations to optimize their resources, improve efficiency, and reduce costs. Microsoft Hyper-V, a popular virtualization technology, allows for the creation and management of virtual machines (VMs) on a physical server. It enables multiple operating systems to run simultaneously on the same hardware, providing both flexibility and scalability.

In SaaS companies, engineers are the biggest influencers to cloud costs. They choose the infrastructure, build the products, and produce the code. Unfortunately, having this power means engineering managers are often asked to predict cloud spend months or even years into the future. An executive or a head of finance might approach the engineering head and ask how much the company will spend on cloud costs next year, thinking he or she should naturally have the answer.

Lightrun enhances its enterprise-grade platform with the addition of RBAC support to ensure that only authorized users have access to sensitive information and resources as they troubleshoot their live applications. By using Lightrun’s RBAC solution, organizations can create a centralized system for managing user permissions and access rights, making it easier to enforce security policies and prevent security breaches.

Heatmaps are a beautiful thing. So are charts. Even better is that sometimes, they end up producing unintentional—or intentional, in the case of our happy o11ydays experiment—art. Here’s a collection of our favorite #chArt from our Pollinators Slack community. Today would be a great time to join if you’re into good conversation about OpenTelemetry, Honeycomb-y stuff, SLOs, and obviously, art.

We know that for many retailers and CPG companies, AI/ML solutions represent a game-changing technology. Yet, this journey seldom comes without a few expectable “growing pains”—from adoption and scale through a fully-fledged data-driven transformation. For multiple internal stakeholders across an organization, the end-to-end process can seem quite daunting—especially without a well-defined plan.

Understanding the difference between data governance and data management is paramount in any setting where you’re managing (and monetizing) data. The short answer is this: Let’s dive into these concepts in greater detail.

We have to come clean. During KubeCon, we experienced an incident that we weren’t ready to discuss until now. This incident caused quite a disruption and, had it been left unresolved, would have had a massive snowball effect. At the time, we didn’t want to raise any alarms, so we kept it quiet while our team rallied to resolve it. And to be honest, most folks probably didn’t even realize that it happened since we moved so quickly.