Just in the past few months, we've seen high-profile outages happen for all sorts of reasons—server glitches, network issues, and even that now-infamous configuration update that nearly broke the Internet. These incidents remind us how fragile our digital world can be. But it's not just software-related issues causing these disruptions. In the last week alone, two unfortunate incidents involving fires have taken down major websites in the Asia-Pacific region.

In today’s evolving digital landscape the speed of a website is more than just a technical factor. It significantly influences the success of your online presence. The loading time of your site can affect user satisfaction, search engine standings and conversion rates. A sluggish site can frustrate users leading to bounce rates and decreased engagement. Conversely a fast loading website can keep visitors satisfied, enhance SEO performance and ultimately drive up conversion rates.

Splunk and Dynatrace are two powerful platforms in the realm of observability and performance monitoring. Each offers unique strengths that cater to different monitoring needs. In this article, we'll explore the features, pros, and cons of both tools, and introduce an exciting alternative that combines the best of both worlds.

Kafka can ingest real-time traffic data, vehicle positions, and road conditions, process this data using Kafka Streams, and then publish optimized routes back to the vehicles. If traffic conditions change, Kafka can instantly process the new data and update the routes accordingly. Apache Kafka can be an essential component in optimizing fleet tracking by providing a scalable, reliable, and real-time data processing platform.

In the rapidly evolving world of IT automation, the need for speed, flexibility, and ease of use has never been more critical. As organizations grow increasingly reliant on digital infrastructure to support everything from daily operations to innovative service delivery, the pressure is on IT teams to adapt quickly, automate repetitive tasks, and maintain control over complex systems.

It is day 3 of SigNoz Launch Week 2.0, and we’re super excited to unveil features related to one of the core tenets of SigNoz. With SigNoz, you can monitor logs, metrics, and traces under a single pane of glass. With three signals under a single pane of glass, the scope for getting more context while debugging your application is immense. Using SigNoz, you can already correlate your traces with logs and check traces associated with APM metrics.

We’re thrilled to announce that SigNoz has achieved both SOC2 Type II and HIPAA compliance! This accomplishment marks a significant milestone in our commitment to building a secure and trustworthy observability platform for our users. Visit our trust center for more details.

An investment of 1 million dollars, no less. This is the amount that BDC Capital has decided to invest in Hector. With this support, we will be able to propel our growth to unprecedented heights, particularly in the United States and around the world. BDC Capital is the investment division of BDC. It offers a full range of capital, both for companies in the startup phase and those seeking growth investment. It also supports Canadian companies aiming to expand globally.

Odds are that a software engineer today is really focused on one place: pre-prod. Short for “pre-production,” this is slang for an environment where software code operates in a prototype phase of its development lifecycle. Common sense would have one believe that this is a safe space, a workbench of sorts, where problems can be found and remediated.

Elevated connection churn can be a sign of an unhealthy distributed system. Connection churn refers to the rate of TCP client connections and disconnections in a system. Opening a connection incurs a CPU cost on both the client and server side. Keeping those connections alive also has a memory cost. Both the memory and CPU overhead can starve your client and server processes of resources for more important work.