Operations | Monitoring | ITSM | DevOps | Cloud

As developers, we spend a lot of time in our IDEs writing new code, refactoring code, adding tests, fixing bugs and more. And in recent years, IDEs have become powerful tools, helping us developers with anything from interacting with HTTP requests to generally boosting our productivity. So you have to ask — what if we could also prevent security issues in our code before we ship it?

Register for the webinar and download the full study to see and apply Forrester’s financial model to determine the observability ROI for your organization. Many teams want to adopt observability and Honeycomb—but run into budget roadblocks because budget holders may not clearly understand the quantifiable benefits to their end users, their teams, and the bottom line.

We’ve seen time and again how serverless architecture can benefit your application; graceful scaling, cost efficiency, and a fast production time are just some of the things you think of when talking about serverless. But what about serverless security? What do I need to do to ensure my application is not prone to attacks? One of the many companies that do serverless security, Protego, came up with an analogy I really like.

Migrating workloads to the cloud can be tricky. In fact, a study Virtana conducted earlier this year found that 72% of respondents had to move applications back on-premises after migrating them to the public cloud because they ran into a variety of problems. Clearly, organizations need to address these showstoppers.

As a Nexthink V6 Customer, you’re already realizing the power and value of a proactive, Digital Employee Experience (DEX) management solution: more productive employees, reduction in employee issues, and a smoother, more accelerated time-to-resolution for employee-reported IT issues.

A fundamental element of the Kubernetes microservices system is the services model, which gives teams greater understanding of how their applications are deployed. These objects running within pods and containers, by extension, are RESTful since they’re based on APIs. However, DevOps teams can’t hope to run a tight ship without managing their services. Communication and visibility are absolutely crucial in a Kubernetes system.

In the first post of this series, we covered the general idea and benefits of model-driven observability with Juju, but did not dive deep into the idea of contextualization and how it makes observability more actionable. In this post we start addressing what contextualization means in model-driven observability, starting from adding Juju topology metadata added to telemetry, and how that improves the processing and querying the telemetry for charmed applications.

Companies are always looking for transparency and visibility when it comes to monitoring, but as monitoring requirements and methods evolve, it’s not always easy to keep up. That’s why Opsdis, an observability consulting company based in Göteborg, Sweden, was founded. The firm focuses solely on helping clients implement systems for monitoring and metrics so they can keep up with the ever-expanding world of cloud computing and containerized environments.