Remember the customer who reported a hard-coded packet per second (PPS) limit in AWS? His use case was a reverse-proxy server to a very active database cluster, complete with heartbeats, keep-alive connections, and a heavy load of queries and traffic. When the network throughput was sustained for an hour or so, the throughput would drop despite increasing demand.
The Java programming language comes with advanced exception handling features that help programmers manage exceptional events. In Java, exceptions are either thrown by the compiler or occur during the execution of the program. Exceptions stop the normal flow of the program, so you need to handle them appropriately.
Magento is the largest open-source eCommerce platform in the world, used by more than 250,000 merchants. While Magento makes setting up a store easier, there is complexity with custom plugins and extensions, and custom site behavior. Sophisticated stores also introduce more opportunity for problems with errors, bugs, performance, and more. A critical production issue might not just cost you a sale, but also customer trust. Errors can affect your business in surprising ways.
Victory Square Technologies and Plug and Play Ventures invested in the Vancouver and California-based startup with participation from key angels in the enterprise and infrastructure space.
Have you been bitten by unexpected costs in the cloud? Whether you are all in with serverless, cloud-native services, on demand and reserved instances, or you build systems and applications with all those things, it is very likely you have had a bad experience with unexpected costs. Why is that? Let me ask you, what is your DevOps tool for observing cost?
Whether you’re the consumer or producer of an API, you’ve no doubt seen that good error handling can make debugging easier. And you may have noticed that error handling works best when everyone speaks the same language and has the same expectations. But what makes for good error handling? And how can we implement it and ensure consistency across our application?
Boston and Tel Aviv, October 24, 2018 — Logz.io, the leader in AI-powered log analysis, releases the first robust security application built on the open source ELK Stack, bringing powerful and scalable security monitoring and analysis directly into the DevOps workflow.
Facing the growing threat of cybercrime, and to answer compliance requirements, more and more organizations are looking at their DevOps and Operations teams to implement security. The term “security”, however, often triggers negative feelings among engineers. The reason for this is that security is associated with siloed, sequential and complicated processes — all roadblocks to fast development and deployment.
We founded Logz.io four years ago with a vision to provide a platform for engineers like us to operate the next generation of applications and infrastructure. As engineers, we experienced firsthand the challenges of running large-scale, open-source tools and the frustration of dealing with slow, proprietary tools which were not designed to support the rapidly changing technology stack we operated.
So much of our world has moved away from the slow and methodical, towards the agile and iterative. In transport, for example, everything is “on demand”, constantly changing and adaptable. The same is true for developers. With movements and philosophies such as CI/CD, everything is about moving quickly, yet smartly. Test automation is an integral part of this development philosophy.
