In the vast ever-changing world of technology, Serverless and Faas are the two new categories of cloud computing services. Both FaaS and Serverless have helped organizations in saving money, refocusing developers’ time, relegating infrastructure management, and harnessing cloud technology. However, while both are treated as the same, there is a slight difference. Through this post, we will shed light on the similarities and differences between FaaS vs.
According to leading independent researchers teknowlogy | PAC, open source platforms – and Kubernetes in particular – are central to the future of digital factories. The PAC RADAR report offers a detailed market analysis of industrial digitalisation trends, and it predicts that Kubernetes-based platforms that bring together edge and cloud technologies will soon dominate the digital factory landscape.
Logz.io has a comprehensive API that allows you to send and query logs or metrics easily. Now, that process is getting even easier for infrastructure monitoring. Logz.io has added support for the open source grafana API. In other words, you can use the OSS grafana’s integration within Logz.io.
In this lesson, we’ll learn how we can use Elasticsearch Hadoop to process very large amounts of data. For our exercise, we’ll use a simple Apache access log to represent our “big data”. We’ll learn how to write a MapReduce job to ingest the file with Hadoop and index it into Elasticsearch.
Prometheus is the cornerstone of many monitoring solutions, and sooner or later, prometheus federation will appear on your radar. A well monitored application with flexible logging frameworks can pay enormous dividends over a long period of sustained growth. However, once you begin to scale your prometheus stack, it becomes difficult to keep up with your application’s demands. Prometheus is an extremely popular choice when it comes down to collecting and querying real-time metrics.
Modern day Security Information and Event Management (SIEM) tooling enterprise security technology combine systems together for a comprehensive view of IT security. This can be tricky, so we’ve put together a simple SIEM tutorial to help you understand what a great SIEM provider will do for you. A SIEM’s responsibility is to collect, store, analyze, investigate and report on log and other data for incident response, forensics and regulatory compliance purposes.
Availability and quality are the biggest differentiators when people opt for a service or product today. You should be aware of the impact of your customers alerting you to your own problems, as well as how to stop this from becoming the norm. To make sure you don’t become an organization known for its bugs, understanding the organizational changes required to deliver a stable service is key.
Cybersecurity Infrastructure Security Agency (CISA) released Alert (AA20-302A) on October 28th called “Ransomware Activity Targeting the Healthcare and Public Health Sector.” This alert details TTPs associated with ongoing and possible imminent attacks against the Healthcare sector, and is a joint advisory in coordination with other U.S. Government agencies.
Several weeks ago, my good friend Katie Nickels (Director of Intelligence at Red Canary extraordinaire) and I were chatting about Ransomware. She was super interested and passionate about some new uses of a ransomware variant named “Ryuk” (first detected in 2018 and named after a manga/anime character) [1]. I was, to be honest, much less interested. It turns out, as usual, Katie was right; this was a big deal (although as you will see, I’m right too… still dull stuff!).
With the promise of unprecedented potential, artificial intelligence (AI) and predictive analytics have permeated into every field of business. Due to their ability to help retail staff serve customers better, personalize video recommendations based on users’ preferences, reduce employee churn, and detect fraud and security threats, AI and predictive analysis are rapidly being adapted across industry verticals.
