In todays IP-centric world, it’s becoming increasingly complex to support network-intensive adaptations like cloud adoption and bring your own device (BYOD) polices. As an IT admin, you’re responsible for scanning and tracking your IP resources to ensure that network devices and end users can be allocated unique IP addresses to access your network.
The CNCF’s KubeCon North America 2020 is the premier event for adopters and technologists to learn about and work with the Kubernetes community—and it’s coming up in just a few days. With so much to do and learn within a short period of time, it can be challenging to know where to focus your time. Now that we’re living in an age of all-virtual conferences, that challenge has only increased.
Amazon CloudFront is a content delivery network (CDN) that minimizes latency by caching your content on AWS edge locations around the world. With CloudFront real-time logging, you can understand how efficiently CloudFront is distributing your content and responding to requests. You can collect CloudFront real-time logs in Datadog—in addition to CloudFront metrics—to get deep visibility into the health and performance of your CloudFront distribution.
MarkLogic is a multi-model NoSQL database with support for queries across XML and JSON documents (including geospatial data), binary data, and semantic triples—as well as full-text searches—plus a variety of interfaces and storage layers. Customers include large organizations like Airbus, the BBC, and the U.S. Department of Defense. Because MarkLogic can process terabytes of data across hundreds of clustered nodes, maintaining a deployment is a complex business.
George Romero’s zombie classic, Dawn of the Dead, is the perfect analogy for a lot like the DevOps experience. Your cluster of services is like your Monroeville Mall. Your safe haven where you live and work for years on end, toiling away at survival. But who are the zombies? The answer isn’t always clear when you’re busy chasing down alerts at 2 AM.
Data-driven decision-making is a method based on identifying and analyzing critical metrics and figures to gain insights about key issues and produce a workable solution. An essential aspect of this decision-making process is monitoring analytics that serves to quantify the performance of interconnected systems and resources for enhanced performance visibility and informed decision-making.
HAProxy can run in two different modes: TCP or HTTP. When operating in TCP mode, we say that it acts as a layer 4 proxy. In HTTP mode, we say that it acts as a layer 7 proxy. To understand the difference, you must first learn about the Open Systems Interconnection (OSI) model, which helps IT pros conceptualize and explain where a piece of software fits in the context of a computer network.
Ask most people what they consider to be the core value of the AWS cloud, and they’ll probably include things like AWS’ scalability and flexibility. While this refers to their public cloud offerings, the same can be said about AWS Outposts—and maybe even more so.
On a day-to-day basis, both engineering and product management in software companies involves constant trade-offs. Everyone has a long backlog of tasks and needs to make decisions about what to prioritize on a daily, weekly, and monthly basis. Figuring out what to tackle first, what to put off for later, and what to say no to is critical both to managing daily workloads as well as to creating product roadmaps that reflect what customers want.
