The infrastructure and services running on public cloud platforms like Google Cloud Platform (GCP) and Amazon Web Services (AWS) produce massive volumes of logs every day. An organization’s log data provides details about their entire IT environment in real time, or at any point in time in history.

Today, virtually everyone who manages infrastructure or applications relies on logging to understand what is happening within their environments. But some teams do logging better than others. Although there is no one right – or wrong – approach to log management, there are a variety of logging mistakes that engineers commonly make when deciding what to log, how to log it, and how to work with their log data.

ChaosSearch activates your cloud object storage for analytics at scale via multi-API access, with no data movement, no sharding nor re-indexing, and no data retention trade-offs. To help engineers and IT leaders experience the power of ChaosSearch for themselves, we’ve made it easier than ever to get started with our free trial experience.

The cybersecurity talent shortage is real. As of December 2021, a job-tracking database from the U.S. Commerce Department showed nearly 600,000 unfilled cybersecurity positions. And a 2021 study found that 57% of cybersecurity professionals worked at organizations that have been directly impacted by the cybersecurity talent shortage. Even so, many organizations want to “shift security left” or build security best practices earlier into the software development lifecycle (SDLC).

IT is messy stuff. Enterprise applications and devices rely on a web of interdependent clouds, networks, and containers. IT operations (ITOps), development operations (DevOps), and cloud operations (CloudOps) engineers work hard to manage this mess. If they succeed, they create a stable, agile IT environment that makes their enterprise more productive. If they fail, their enterprise becomes less productive.

Does your team know how to use data analytics to their advantage? For the vast majority of companies, the answer may be “no.” According to Accenture, only 21% of people are confident in their data literacy skills, and just 32% of companies have realized tangible, measurable value from their data. While the definition of data literacy varies depending on who you ask, at its core, the term means equipping anyone in your organization to know how to use data in a business context.

This week, ChaosSearch announced some exciting news -- we're honored to have been named Most Likely to be the Next Boston Unicorn in Startup Boston’s first-ever Community Awards! The award celebrates companies that have made extraordinary achievements in the startup ecosystem in Boston, and represents grassroots recognition from tech entrepreneurs, employees, investors, journalists, and educators in the region.

IT leaders’ experiences with data lakes have been a roller coaster ride since their inception in 2010. To some, that roller coaster ride might resemble the canonical Hype Cycle graphic, trademarked by Gartner to show the maturity curve of technologies in a given category over time. This year’s Hype Cycle for Data Management report was just released, revealing that modern data lakes are poised to exit the Trough of Disillusionment and enter the Slope of Enlightenment in 2022.

Troubleshooting cloud services and infrastructure is an ongoing challenge for organizations of all sizes. As organizations adopt more cloud services and their cloud environments grow more complex, they naturally produce more telemetry data – including application, system and security logs that document all types of events. All cloud services and infrastructure components generate their own, distinct logs.

DevOps has become the dominant application development and delivery methodology today, embraced over traditional software development methods by teams striving for lightning-fast innovation and more frequent releases without compromising on quality, stability, or productivity.