President Joe Biden recently signed an executive order which made adhering to cybersecurity standards a legal requirement for federal departments and agencies. The move was not a surprise. It comes after a string of high-profile cyber-attacks and data breaches in 2020 and 2021. The frequency and scale of these events exposed a clear culture of lax cybersecurity practices throughout both the public and private sectors.

When building a microservices system, configuring events to trigger additional logic using an event stream is highly valuable. One common use case is receiving notifications when errors are seen in one of your APIs. Ideally, when errors occur at a specific rate or frequency, you want your system to detect that and send your DevOps team a notification. Since AWS APIs often use stateless functions like Lambdas, you need to include a tracking mechanism to send these notifications manually.

Salesforce was the first of many SaaS-based companies to succeed and see massive growth. Since they first started out in 1999, Software-as-a-Service (SaaS) tools have taken the IT sector and, well the world, by storm. For one, they mitigate bloatware by moving applications from the client’s computer to the cloud. Plus, the sheer ease of use brought by cloud-based, plug-and-play software solutions has transformed all sorts of sectors.

Amazon Web Services (AWS) introduced a preview of Timestream in November 2018 before releasing the full version in October 2020. AWS Timestream is a time series database that can process trillions of events daily. It is faster and less costly than relational databases offered by AWS for processing time-series information. In this article, we will look at what Timestream can do compared to some other AWS databases, and how to use Timestream to help monitor the health of your system.

Since Google first introduced Kubernetes, it’s become one of the most popular DevOps platforms on the market. Unfortunately, increasingly widespread usage has made Kubernetes a growing target for hackers. To illustrate the scale of the problem, a Stackrox report found that over 90% of respondents had experienced some form of security breach in 2020. These breaches were due primarily to poorly-implemented Kubernetes security.

Logging solutions are a must-have for any company with software systems. They are necessary to monitor your software solution’s health, prevent issues before they happen, and troubleshoot existing problems. The market has many solutions which all focus on different aspects of the logging problem. These solutions include both open source and proprietary software and tools built into cloud provider platforms, and give a variety of different features to meet your specific needs.

Cloudflare secures and ensures the reliability of your external-facing resources such as websites, APIs, and applications. It protects your internal resources such as behind-the-firewall applications, teams, and devices. This post will show you how Coralogix can provide analytics and insights for your Cloudflare log data – including traffic, performance, and security insights.

GraphQL is an open-source query and manipulation language to use for APIs. It contains server-side functionality and a query language for maintaining data interfaces. It was first created in 2012 by Facebook and publicly released in 2015. Since 2018, the GraphQL project has been hosted by the Linux Foundation and run by the GraphQL Foundation.

The wide-spread adoption of cloud infrastructure has proven to be highly beneficial, but has also introduced new challenges and added costs – especially when it comes to security. As organizations migrate to the cloud, they relinquish access to their servers and all information that flows between them and the outside world. This data is fundamental to both security and observability.