Building modern, cloud-native applications introduces new challenges to teams and organizations. As these systems grow and scale, struggles abound: inconsistent performance monitoring experiences across siloed tools, wasteful performance management practices with duplicated efforts, and mounting frustration from colleagues and customers. Surmounting these challenges requires multiple sources of data and truly unified observability.
We all know that observability is a must-have for operating systems in production. But we often neglect our own backyard — our software release process. We noticed we made that mistake here at Logz.io. We were wasting time and energy in handling failures in the CI/CD pipeline, and made our Developer-on-Duty (DoD) shifts tedious. That’s why it’s critical to incorporate your observability practices into your CI/CD pipeline.
The Cambridge English Dictionary defines a silo as “a part of a company, organization, or system that does not communicate with, understand, or work well with other parts.” Siloing can exist at various organizational levels: siloed departments, siloed teams within a department, and even siloed engineers within a team. In any industry, siloing can cause issues with alignment, communications, and overall delivery, but in fintech, there are additional risks.
From its inception as a powerhouse for logging, Elastic Observability has grown into a comprehensive solution for full-stack multi and hybrid-cloud observability. Given the increasing complexity of the cloud-native world, the major challenge for observability is twofold: getting deeper and more frictionless visibility at all levels of applications, services, and infrastructure, and making sense of the overwhelming amount of data that is available.
The United States is the #1 target for cybersecurity attacks in the world. 38% of targeted cybersecurity attacks so far in 2022 were aimed at the United States data and systems. That’s alarming. And we see it in the news almost every day. Solarwinds, Colonial Pipeline, The Pulse Secure VPN zero-day… There’s an increasing number of threats and attacks, to the tune of 15.1% year over year.
So, what is Universal Profiling™? Universal Profiling™ is fast emerging as an important component of observability. A standard feature inside hyperscalers since approximately 2010, the technology is slowly percolating into the wider industry. Universal Profiling™ allows you to see what your code is doing all the time, in production across a wide range of languages and can profile both user-space and kernel-space code.
Every security operations center (SOC) team is different, and for smaller teams, even small challenges can seem big. I started my career in cybersecurity as part of a smaller team, and eventually grew into a SOC role. During that time, I gained a good deal of knowledge about the dos and don’ts of what a small SOC team needs to do in order to be successful.
Every millisecond, humans generate significant volumes of data, from various IoT devices such as our wearable devices to daily activities such as internet surfing and tracking our workouts. Data continues to accumulate. Statista estimates that by 2025, the amount of data will have increased to 180 zettabytes. That's far too much information.
