Observability is one of the most popular topics in technology at the moment, and that isn’t showing any sign of changing soon. Agentless log collection, automated analysis, and machine learning insights are all features and tools that organizations are investigating to optimize their systems’ observability. However, there is a new kid on the block that has been gaining traction at conferences and online: the Extended Berkeley Packet Filter, or eBPF. So, what is eBPF?

Python JSON logging has become the standard for generating readable structured data from logs. While logging in JSON is definitely much better than using the standard logging module, it comes with its own set of challenges. As your server or application grows, the number of logs also increases exponentially. It’s difficult to go through JSON log files, even if it’s structured, due to the sheer size of logs generated.

If you think log files are only necessary for satisfying audit and compliance requirements, or to help software engineers debug issues during development, you’re certainly not alone. Although log files may not sound like the most engaging or valuable assets, for many organizations, they are an untapped reservoir of insights that can offer significant benefits to your business.

It feels like cybersecurity is dominating the newsfeeds, doesn’t it? There is a reason. Cyberattacks and cybercrime have risen dramatically in the last five years. 2020 broke all records in terms of data loss and the number of cyberattacks. Between 2019 and 2020 ransomware attacks alone rose by 62%, the same year that the World Economic Forum identified cyberattacks and data theft as two of the biggest risks to the global economy.

Like many cool tools out there, this project started from a request made by a customer of ours. Having recently migrated to our service, this customer had ~30TB of historical logging data. This is a considerable amount of operational data to leave behind when moving from one SaaS platform to another. Unfortunately, most observability solutions are built around the working assumption that data flows are future-facing.

At Coralogix, we believe in giving companies the best of the best – that’s what we strive for with everything we do. With that, we are happy to share that Coralogix has received AWS DevOps Competency! Coralogix started working with AWS in 2017, and our partnership has grown immensely in the years since. So, what is our new AWS DevOps Competency status, and what does it mean for you?

Istio has quickly become a cornerstone of most Kubernetes clusters. As your container orchestration platform scales, Istio embeds functionality into the fabric of your cluster that makes monitoring, observability, and flexibility much more straightforward. However, it leaves us with our next question – how do we monitor Istio? This Istio log analysis guide will help you get to the bottom of what your Istio platform is doing.

Ask any DevOps engineer, and they will tell you about all the alerts they enable so they can stay informed about their code. These alerts are the first line of defense in the fight for Perfect Uptime SLA. With every good solution out there, you can find plenty of methods for alerting and monitoring events in the code. Each method has its own reasons and logic for how it works and why it’s the best option. But what can you do when you need to connect two opposing methodologies? You innovate!

At Payoneer, we use Coralogix to collect logs from all our environments from QA to PROD. Each environment has its own account in Coralogix and thus its own limit. Coralogix price modules are calculated per account. We as a company have our budget per account and we know how much we pay per each one. In case you exceed the number of logs assigned per account you will pay for the “extra” logs. You can see the exact calculation in this link.

Infrastructure as Code is an increasingly popular DevOps paradigm. IaC has the ability to abstract away the details of server provisioning. This tutorial will look at how Coralogix can be used with the popular IaC tool Terraform.