Operations | Monitoring | ITSM | DevOps | Cloud

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Pro Tips: Using Grafana in Quality Assurance

Quality assurance is a priority at Evolution Gaming, the world leader in live casino gaming, and as Andrejs Kalnacs, Lead Software Developer in Test, said during his GrafanaCon EU talk in March, Grafana has been a game changer. While Kalnacs and his team have found Grafana to be invaluable in many areas, here are three best practices they’ve learned throughout their journey.

Incident Response with AWS Systems Manager

The typical DevOps on-call engineer is responding to alerts, triaging based on service impact, troubleshooting high priority incidents, and taking action to remediate issues. Automation tools like AWS Systems Manager can be a big help in reducing some of the more repetitive work and allowing engineers to focus on the most important tasks.

Datadog's Lambda Layer: Monitor custom serverless metrics

To build applications in AWS Lambda, you often need to use third party libraries and packages in your function code. Previously, these packages had to be included in a function’s deployment package. Today, Amazon Web Services released a new feature called Layers to simplify this process for Lambda developers. Layers allow you to deploy common components that you can reuse across functions, such as machine learning models, SDKs, or instrumentation libraries.

Citrix Troubleshooting Requires Visibility

We are often asked to highlight how our technologies complement or coexist with Citrix Director & NetScaler MAS. Most customers utilize our technologies in a complementary way. Goliath Performance Monitor is purpose-built to proactively anticipate, troubleshoot and prevent end user experience issues in complex environments. We deliver this with embedded intelligence and automation that highlights what to monitor and how to monitor it.

Can You Trust Machine Learning In IT Operations?

Chronically understaffed and constantly stressed-out IT Ops and NOC teams are overwhelmed by today’s IT noise. Artificial Intelligence (AI) and Machine Learning (ML) can help these teams because ML (and AI) are exceptionally good at processing enormous volumes of very complex data in real-time, or near real-time, and surfacing actionable insights.

Google Lighthouse Audit

Lighthouse is an open-source quality testing tool built by Google. Normally run on command line or through browser DevTools, Lighthouse analyses a given url and performs a series of audits. Lighthouse tests on a number of broad categories, including: Performance, Progressive Web App (PWA), Accessibility, Best Practices, Search Engine Optimisation. Schedule a daily audit of your website or app with Google Lighthouse, the latest addition to our fantastic Intelligent Page Monitor tool.

SaaS Security: Securing Zenoss in a SaaS World

As enterprise IT organizations evaluate cloud-based services, security can be a primary concern — both in terms of the security of the customer data associated with the application as well as the potential for breaches of the customer’s IT environment. Zenoss takes a comprehensive approach to SaaS security, addressing it from both a product and process perspective, to ensure the integrity of monitoring operations.