Operations | Monitoring | ITSM | DevOps | Cloud

Given the overwhelming importance of data to organizations, anything they can do to speed up troubleshooting problems in the databases they use is of great value. If a company can speed up or avoid troubleshooting, it frees up time they can invest in doing and building more with their data. Careful attention to database query construction and execution also pays similar dividends, as improved database performance helps organizations get more done faster.

This week Google unveiled a number of exciting announcements at its annual developers’ conference, Google I/O 2021. Announcements included Android 12 and several security and privacy features that are coming to its platforms. At Ivanti, we are particularly excited about what Google is doing to improve user security and privacy. The consistent theme of Google I/O was Secure by default, Private by design, and You’re in control.

Network Policy is a critical part of building a robust developer platform, but the learning curve to address complex real-world policies is not tiny. It is painful to get the YAML syntax right. There are many subtleties in the behavior of the network policy specification (e.g., default allow/deny, wildcarding, rules combination, etc.). Even an experienced Kubernetes YAML-wrangler can still easily tie their brain in knots working through an advanced network policy use case.

In this post we’ll explore the concepts of data lake, data hub and data lab. There are many opinions and interpretations of these concepts, and they are broadly comparable. In fact, many might say they’re synonymous and we’re just splitting hairs. But let’s look again carefully. We can discern some subtle trends in the way people are doing things, and find distinctions in these expressions.

This article will show how we kept cardinality under control with a few tweaks in the Telegraf configuration. If you’re not yet familiar with it, Telegraf is the native and open-source plugin-driver metrics collection agent of InfluxDB. As you may know, cardinality is the combination of measurements, tags, sets, fields, and values in a time-series database, and having high cardinality can be a challenge.

Over the past year, organizations worldwide have seen an increasing number of cyberattacks. Phishing and vulnerability exploits continue to be leading attack channels. The content adapts to the times (COVID-19-related phishing, for example), but the attack channels themselves are not new. Combating these attack types requires a focus on transforming security operations and response.

The HIPAA Journal reported that “2020 was the worst ever year for healthcare industry data breaches.” In the US alone, there were 642 reported data breaches in which the number of records stolen exceeded 500, and in total, nearly 29.3 million healthcare records were exposed.

I work as Director at ThoughtWorks in the database and DevOps space. I’ve been here for 20+ years and I vaguely remember my first project at ThoughtWorks in 1999 when we had just started using Agile software development practices. The basic challenge we faced was how to move database changes at the same pace as application code and keep them in sync so that deployments would work. At the time, we had to invent all the tools, processes, and techniques that we needed.

IT spending grew to an impressive $3.8 trillion in 2019. With 2020 giving enterprises a reality check on remote working, the spending on digital transformation is expected to grow even further. It goes without saying that IT is an integral part of any company, big or small. When the stakes are so high, there’s very little room for mistakes. However, we’re all humans and do make mistakes.

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.