Site Reliability Engineering, Observability, and the Tradeoffs of Modern Software
This blog post defines SRE by explaining SLOs and error budgets, highlighting the innovation vs. reliability tradeoff.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Your First Shipa Webhook - Microsoft Teams Integration
One more “ops” phoneme like DevOps is ChatOps; or conversation-based development/operations. ChatOps has been growing in popularity as communication platforms such as Slack is ingrained in our day-to-day engineering lives. A team lead once told me “if it didn’t happen in Slack, it didn’t happen” showing the emphasis of communication platforms as a system of record.
How to Deploy the Splunk OpenTelemetry Collector to Gather Kubernetes Metrics
With Kubernetes emerging as a strong choice for container orchestration for many organizations, monitoring in Kubernetes environments is essential to application performance. Kubernetes allows developers to develop applications using distributed microservices introducing new challenges not present with traditional monolithic environments. Understanding your microservices environment requires understanding how requests traverse between different layers of the stack and across multiple services.
21 Best APM Tools
If you are trying to compare all of the best solutions for application performance monitoring and management you may have found that it can be highly complicated to compare all of the available observability tools whilst also trying to keep within a reasonable budget.
Plugin Spotlight: Exec & Execd
Telegraf comes included with over 200+ input plugins that collect metrics and events from a comprehensive list of sources. While these plugins cover a large number of use cases, Telegraf provides another mechanism to give users the power to meet nearly any use case: the Exec and Execd input plugins. These plugins allow users to collect metrics and events from custom commands and sources determined by the user.
TL;DR InfluxDB Tech Tips - Visualizing Uptime with Flux deadman() Function in InfluxDB Dashboards
A common DevOps use case involves alerting when hosts stop reporting metrics, aka a deadman alert. This can be done using the monitor.deadman() Flux function. One can easily create a deadman (or threshold) check in the InfluxDB UI Alerts section or craft a custom task to alert as well. Check out InfluxDB’s Checks and Notifications system post for more details. It’s also possible to use the monitor.deadman() function directly in a dashboard cell.
What is an Observability Data Pipeline?
I can’t remember the last time I drove down highway 101 between San Francisco and the South Bay and didn’t see a billboard claiming to be the single tool to solve all of my data problems.
How To Uncover Personalization Opportunities Using Data Analytics
There's a lot of information and details which you can find about your website with the use of data analytics. Your website is like the virtual equivalent of a physical store. People come and go. Some of them buy, while some just look around. If you have a surveillance camera in your store, you'd have a record of who came in, what they did, and with the help of the receipts, what they bought.
Sponsored Post
Leveraging Your Integration Infrastructure
The investment your organization has made in integration infrastructure (i2) over the years was necessary as the organization and the IT infrastructure grew, but it has likely been considered a necessary evil by senior management. However now that investment can be leveraged in two important new ways.
Understand the scope of user impact with Watchdog Impact Analysis
Watchdog is Datadog’s machine learning and AI engine, which leverages algorithms like anomaly detection to automatically surface performance issues in your infrastructure and applications. Without any manual setup or configuration, Watchdog generates a feed of Alerts—on anomalies such as latency spikes, elevated error rates, and network issues in cloud providers—to help you reduce your mean time to detection.