Operations | Monitoring | ITSM | DevOps | Cloud

Data Obfuscation is a way of making data unreadable or unusable if data breach occurs. It is like providing security to the data by encrypting it or masking it in order to make it unreadable even when the hackers can do a successful data breach. Data breaching is very common these days and every organization must protect its own data. Even if we cannot stop the data breach completely, we can save the data we have by means of data obfuscation.

As a software engineer running applications in production, it is essential to monitor this environment to maintain the health of your applications. Production monitoring software and systems are used to improve observability so that you can better understand your operating environment and visualise performance issues easily.

A recent study from Juniper Research predicts the value of enterprise cybersecurity spend will continue to climb, exceeding $226 billion in 2027; up from $179 billion in 2022. This growth of 26% over the next five years reflects a rising awareness of vulnerabilities, not least of which is DDoS (Distributed Denial of Service) as a key driver behind the increasing spend.

GrafanaCONline 2022 wrapped up on Friday, and the big finish featured sessions that covered important changes in Grafana Labs technical documentation, Grafana Cloud’s role in activist engineering projects, and the benefits of load testing with k6. There was also a great success story out of East Africa, where a major bank switched to a business monitoring system with Grafana and improved its customer satisfaction and revenue.

The Cloud Native Computing Foundation published their Annual Report for 2021 which outlines the past year and what can be expected in the upcoming 6 months. Community leaders and 62,000 contributors on GitHub came together to report on initiatives and updates to create CNCF’s second annual report. So, here are the important updates from the Kubernetes Annual Report that we think you need to know.

Blocking access to certain URLs is a simple, effective strategy for protecting users and the network. But, in a world where new and increasingly sophisticated scams seem to appear almost weekly, the task of maintaining that list can become overly burdensome when performed manually. Torq offers a number of ways to automate URL blocklist management, reducing manual effort and speeding up response to new threats.

If you’re managing IT or infrastructure these days, you almost certainly depend on dozens of hosted services or cloud applications. From major cloud services like Amazon, Azure, or Google, to customer service tools and marketing platforms, your business depends on the uptime of others. Each of these services publishes a status page where they warn about maintenance, outages, and performance issues but can you keep track of all of those at the same time?

We're very excited to release AppSignal for Phoenix 2.1, which adds automatic instrumentation for LiveView through Telemetry. You can now receive performance and error insights for your LiveView, without manually instrumenting each of its methods.

In this post, we will address the common monitoring use case of filtering metrics within the observIQ OpenTelemetry (OTEL) collector. Whether the metrics are deemed unnecessary, or they are filtered for security concerns, the process is fairly straightforward. For our sample environment, we will use MySQL on Red Hat Enterprise Linux 8. The destination exporter will be to Google Cloud Operations, but the process is exporter agnostic.

Back in November 2020 Apple’s M1 chip was introduced and as the end users moved forward to M1 based Macs it became mandatory to build applications that are compatible with the new technology. The M1 chip has incredible improvements and features but I won’t cover them in this post.There are many resources on the internet covering this and I encourage you to explore them. In this post I will cover several challenges I tackled while setting up an M1 build.