Operations | Monitoring | ITSM | DevOps | Cloud

With many SASE vendors prioritizing security over performance, businesses are left with a gap in their network management strategies. Before implementations, SASE vendors make promises about the performance of their SASE services, but, how can customers ensure they’re getting what they paid for? And how can they avoid slow or sluggish networks leading to frustrated users, decreased productivity, and even financial losses?

In the first article of our series, we explored the importance of trace headers and the complexities involved in their propagation. Now, we shift from theory to practice. This second installment will take you through a hands-on baseline scenario and our initial strategy of propagating the OpenTelemetry trace context in AWS Kinesis by using the PartitionKey parameter.

AIOps is a game changer for MSPs. But how do you implement AIOps to ensure you get those game-changing benefits? Chances are, you’re not interested in spending the resources and time required to build it yourself with all of the development, testing, maintenance, etc. that entails. Instead, AIOps as a service provides you with the capabilities to better manage the IT infrastructure and operations of multiple clients.

If you've ever delved into the intricacies of PC building or taken your first steps in an introductory Computer Science class, chances are you've encountered the ubiquitous term – GPU. For many gaming enthusiasts, myself included, GPUs are the magic component that gives you more frames in your favorite FPS game, while CPUs are the component where our code finds its execution space.

Aiven for Dragonfly delivers a 700% performance boost to scale with your enterprise needs Scalability and performance are major challenges for modern enterprise applications. Aiven for Dragonfly, now generally available, delivers nearly 700 percent higher throughput (requests per second) and uses approximately 25 percent less memory compared to open source Redis® on similar hardware, according to our benchmark study.

The more data you have, the harder it becomes to read through it, let alone identify trends or crucial patterns. Couple that with a shortage of time, and the ability not only to visualize but also to communicate with your data becomes paramount.

We are consistently releasing helpful updates and fun features in Grafana Cloud, our fully managed observability platform powered by the open source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics). In case you missed it, here’s a roundup of the latest and greatest upgrades for Grafana Cloud this month. If you’re not a Grafana Cloud user, what are we waiting for?

The evolution of public cloud over the past few years has been remarkable. Digital transformation, remote work, and AI have created breakneck growth. Back in 2018, before anyone uttered the words COVID or ChatGPT, there were already big drivers for public cloud. The global digital transformation market size was valued at $320 billion, and set for 18% annual growth, to reach a projected $695 billion by 2025.

Software deployment, a critical process in software development, refers to all the activities that make a software system available for use. It’s the stage where all the hard work of creating software culminates into something tangible that users can interact with. But before we delve into its complexities, let’s first understand the basics of software deployment.

Slow code is everywhere—or maybe "anywhere. "Slowness" is a spectrum. Sometimes, you triumphantly move performance bottlenecks so that the bar for "slow" always gets lower. In our experience, though, things often trend in the other direction.