Batch vs Stream Processing: When Do You Actually Need Real-Time Data?
A plain-English comparison of batch and stream processing, the real costs of going real-time, a decision checklist and the middle-ground options most teams overlook.
Distributed Denial of Service: an attack that floods a website or network with traffic from many sources to make it unavailable.
In a DDoS attack, an attacker uses many machines, often a botnet of compromised devices, to send overwhelming amounts of traffic or requests to a target. Legitimate users then experience slowdowns or cannot connect at all.
Attacks come in several types. Volumetric attacks try to saturate bandwidth, protocol attacks exhaust server or firewall resources, and application-layer attacks send seemingly normal requests, such as repeated page loads, that are expensive for the server to handle. Motives include extortion, activism, distraction from other intrusions, or simple disruption. Mitigation usually relies on specialized DDoS protection services, content delivery networks with large capacity, rate limiting, and traffic filtering that separates bots from real visitors.
A network of compromised computers or devices controlled remotely by an attacker, often used for spam, fraud, or DDoS attacks.
Content Delivery NetworkA geographically distributed network of servers that delivers web content from locations close to each user to improve speed.
Rate LimitingRestricting how many requests a user, device, or application can make to a service within a set time period.
A plain-English comparison of batch and stream processing, the real costs of going real-time, a decision checklist and the middle-ground options most teams overlook.
What a DDoS attack is, the 3 main attack types and the protection options that fit small and mid-size business websites and apps.
How API rate limiting works, the main algorithms (token bucket, leaky bucket, fixed and sliding windows), and how to handle 429 errors gracefully as an API consumer.