Microservices and containers have taken the tech industry by storm. Kubernetes is one of the tools that has evolved to manage these new aspects of software development. It is an open-source system for automating deployment, scaling, and management of containerized applications. One of the biggest challenges that organizations face when adopting Kubernetes is performing monitoring tasks in this dynamic environment.
Consider for a moment which fundamental pieces of technology enable the modern web. Odds are, you’re thinking about things like Javascript and HTTP—and yes, they are fundamental parts of the modern web. But, the often-overlooked component of this ecosystem that has truly enabled the web to scale to billions of users and transactions is load balancers.
As engineers, you and I have a responsibility to protect both our customers’ and our respective companies’ data. But unlike our office networks that adhere to strict security protocols and a well-defined perimeter, our home networks usually fall short. And now that most of us are at home waiting out the COVID-19 pandemic, it’s time to revisit of logging in and Elasticsearch security during while you work from home.
AWS S3 buckets are an indisputably powerful—and extremely well-organized—DevOps tool. Standing for “simple storage service,” the S3 is the lowest tier offered for AWS storage, but it is also the most indispensable. S3 buckets store data for immediate recall, the most active components in Amazon’s arsenal of storage options. They can store a variety of developer applications and up to five terabytes of data each.
Let Data Shed Some Light in the Midst of Uncertainty The burden the COVID-19 novel coronavirus has placed on the world is enormous. There’s a great thirst for information and clarity. So, we at Logz.io have decided to offer a Community COVID-19 Dashboard Project, so that everyone can better understand how the outbreak impacts the world and their region. We see that as a community effort.
Docker is an essential bridge in modern DevOps. Despite Kubernetes overtaking Docker on orchestrating containers, the Docker container itself remains the standard and likely will for the foreseeable future. We developed the Docker Metrics collector to operate as its own container that will run Metricbeat using the modules you are running in real time. Now, in addition to the Docker module, we are now releasing an AWS module for operations in the cloud.
We believe that small businesses are the backbone of the local economy and consider our suppliers as partners in our success. Unfortunately, the novel coronavirus/COVID-19 has brought tough times and economic disruption that could significantly change the global economy. So we at Logz.io decided that we can make a meaningful impact by supporting our suppliers and helping them to meet the challenges that this new era brings.
Security information and event management, or SIEM, has become part of the vocabulary of every organization. SIEM solutions gather events from multiple systems and analyze them—both in real time and through historical data. SIEM costs—as cyber security costs in general—can be high, but there is a tradeoff if you opt for the FOSS route (free and open source solutions).
Monitoring has been around since the dawn of computing. Recently, however, there’s been a revolution in this field. Cloud native monitoring has introduced new challenges to an old task, rendering former solutions unsuitable for the job. When working with cloud native solutions such as Kubernetes, resources are volatile. Services come and go by design, and that’s fine—as long as the whole system operates in a regular way.
In today’s era of microservices, containers, and containerized applications, software architecture is more complex. Kubernetes is king in this environment, orchestrating an army of Docker containers in more distributed environments.
