If you’ve been working with Kafka long enough, you know its power when it comes to real-time data streaming. But, like any complex system, it comes with its own set of headaches—especially when it comes to partition rebalancing. One day your cluster is humming along, and the next, a rebalance kicks in, and suddenly you’re staring at a bunch of overloaded brokers and bottlenecked data flows.

Kubernetes is known for its modularity, and its integration with cloud environments. Throughout its history, Kubernetes provided in-tree cloud provider integrations with most providers, allowing us to create cloud-related resources via API calls without requiring us to jump through hoops to deploy a cluster that utilizes the power of underlying networking infrastructure. However, this behavior will change with the release of Kubernetes v1.31, and right now is the best time to plan for it.

*Cue infomercial voice* Has this ever happened to you? You’ve worked hard on a feature, run all your tests, and felt pretty good about it – until the review comes back. Next thing you know, you’re scouring through vague feedback and unclear comments like “this is confusing,” leaving you feeling frustrated that the review ever happened in the first place. Bad code reviews can suck the motivation out of any developer.

Synthetic monitoring empowers developers to stay ahead of potential problems by simulating real user actions. This guide breaks down how it works, its benefits, and how you can use it to keep your web applications and APIs performing at their best.

The massive growth of observability data isn’t limited to just log data. Metrics are growing just as fast, or faster. Making matters worse, DevOps and Engineering teams aren’t just dealing with the increasing volume of metrics data causing a spike in egress, storage, and compute costs. Many tools also charge by the number of custom metrics they track.

david.arrowsmith • Oct 03, 2024 In today’s competitive and fast-paced retail environment, service availability is paramount to delivering exceptional customer experiences. As an ITOps Manager or Site Reliability Engineer in a large retail enterprise, you're tasked with managing complex, interdependent systems that support vital business functions such as supply chain operations, point-of-sale (POS) systems, and inventory management.

As more and more companies are moving their operations to the cloud, cost management becomes one of the significant concerns, and Azure cost allocation provides the solution for it. Due to the fact that more and more companies use Azure services, it has become crucial to define the correct Azure cost allocation and resource management.

We’re thrilled to introduce our latest integration with LaunchDarkly! This powerful combination allows you to keep an immutable record of all changes made to your feature flags using Kosli Trails, ensuring you have the information you need for audits, compliance checks, security investigations, and incident responses.