Virtually every organization is a victim of cybercrime today. As the threat landscape evolves and proliferates, it’s necessary to prioritize the protection of data, customers’ privacy and brand reputation. Security directors must be prepared and equipped with the necessary tools to detect security events and address them accordingly at all times.
One of the most exciting things about last year’s Experience events was the unveiling of the Digital Experience Score (DX Score). Over the years we’ve worked tirelessly to improve digital employee experience (DEX) but until then we never had this one metric, the DX Score, that could tie it all together. Fast forward to today, and our customers now have this one source of truth to better track and compare progress with their peers.
Log file parsing is the process of analyzing log file data and breaking it down into logical syntactic components. In simple words - you’re extracting meaningful data from logs that can be measured in thousands of lines. There are multiple ways to perform log file parsing: you can write a custom parser or use parsing tools and/or software.
Massively scaling free-text search has always been the holy grail in big data. Many software firms now face the burgeoning challenge of searching through previously untapped data sources and the current trend is far surpassing the petabyte scale. Here at LogDNA we manage free-text search for thousands of customers with distinct traffic profiles across a multitude of Elasticsearch clusters.
Log files in Linux often contain information that can assist in tracking down the cause of issues hampering system or network performance. If you have multiple servers or levels of IT architecture, the number of logs you generate can soon become overwhelming. In this article, we’ll be looking at some ways to ease the burden of managing your Linux logs.
Stackery has launched a partner program currently centered around Systems Integrators. Here’s why.
Once you’ve hired a software engineer, it’s easy to feel like the recruiting process is over. However, the first few days and weeks of your new engineer’s experience are critical to their long term success and happiness at your startup. In this last part of our series on hiring software engineers as the CTO of a startup, we’ll talk about how we onboard software engineers at Blue Matador and the insights I’ve gained in this part of the CTO experience.
Last week, we spoke with a lot of folks at PagerDuty Summit, where we explored the power of error monitoring in a world that’s always on (or on-call). What a neat tweet. Throughout our conversations, one thing became clear: developers are seeking out increased efficiency — they want to minimize time to error detection and resolution. They want to know about issues, find the root cause, and fix them quickly so that they can move on to other things — like writing more code.
When incidents occur, the key to a fast resolution is seamless communication. Traditionally, folks would gather in a “war room” – a room with four walls that served as a gathering place for various teams to solve high-impact problems. As incident management modernizes, teams are more dispersed, and therefore need a higher-tech way to assemble. Opsgenie developed the Incident Command Center (ICC) with exactly this in mind.
At Codefresh we are all about collaboration and reusing existing standards instead of implementing proprietary solutions. A Codefresh pipeline is based on a series of Docker containers that act as individual steps. All Codefresh plugins are also just Docker images which means that extending a Codefresh pipeline is the same thing as writing a Dockerfile. Github has recently announced an integrated automation solution called Actions.
