Operations | Monitoring | ITSM | DevOps | Cloud

Very few SaaS products exist completely independently. Between cloud service providers, payment processors, content delivery networks, and more, chances are you rely on external systems to keep your product working. When these systems fail, it can leave you feeling pretty helpless. In some cases you might have fallback options, but oftentimes all you can do is wait for recovery and clean up the fallout.

Django is one of the most popular web frameworks for building applications. Its elegance and flexibility make it a favorite among developers, enabling them to craft intricate applications with ease. However, as applications grow in complexity and user traffic grows, the need for active performance monitoring becomes imperative.

Merging two companies into one comes with several challenges. One of the most formidable endeavors is maintaining control over cloud costs while a cloud-to-cloud integration — essentially, taking the cloud environments of two companies and combining them into one — is taking place. One or both companies may not be tracking cost data, and even if they are, it’s highly unlikely that their cost-tracking strategies line up well enough to merge seamlessly.

In a world where companies pivot for breakfast, lunch and dinner – it’s rare to see a tech house commit to a large, time intensive project. Big projects take a long time to implement. Sometimes too long. But we asked ourselves, “Can we give users an early look at some of the stuff we’re working on?” We wanted something that was in-between a public beta and our own GitKraken preview states.

With the widespread adoption of Kubernetes, the Cloud Native Computing Foundation (CNCF) ecosystem has evolved to include projects that address the challenges of using a container orchestrator system. One such challenge is managing and deploying clusters, which can become complex as organizations scale their Kubernetes requirements. Fortunately, Cluster API (CAPI) provides a solution.

If you’ve ever found yourself pondering the hidden treasures tucked away within thousands of files in Amazon S3, this is the perfect guide for you. In this blog post, we’re going to look at how you can use the Cribl Search fields feature to catalog and explore the fields in petabytes of data stored in Object Stores. In the Fields Tab within Cribl Search, all returned fields are categorized according to five different dimensions.

API Gateways are vital components in today's digital landscape, facilitating seamless communication between systems and applications. To ensure optimal performance, monitoring API Gateways is crucial. MetricFire offers a comprehensive monitoring platform that tracks and analyzes key metrics, providing real-time insights into performance indicators such as latency, error rates, and throughput.

This post will discuss remote debugging in VS Code and how to improve the remote debugging experience to maximize debugging productivity for developers. Visual Studio Code, or VS Code, is one of the most popular IDEs. Within ten years of its initial release, VS Code has garnered the top spot among popularity indices, and its community is growing steadily. Developers love VS Code not only for its simplicity but also due to its rich ecosystem of extensions, including the support for debugging.

Using 'Sharding' to tame High Cardinality data for Levitate - Our Time Series Data Warehouse.

Are you curious about DevOps and how it’s transforming the world of technology? Look no further! In this blog, we will dive into the fascinating world of DevOps and explore its significance and need in today’s fast-paced digital landscape. From its definition and importance to real-world examples of epic fails and their solutions, we’ll cover it all. So, grab a cup of coffee, sit back, and let’s embark on this DevOps journey together!