With more and more endpoints accessing your network remotely, you should expect rapid increases in VPN connections and usage, as well as exponential usage of cloud-based services. There are numerous Splunk apps that can help you increase the monitoring of remote endpoints but let’s showcase Splunk Security Essentials (SSE).
Gunicorn is a popular application server for Python applications. It uses the Web Server Gateway Interface (WSGI), which defines how a web server communicates with and makes requests to a Python application. In production, Gunicorn is often deployed behind an NGINX web server. NGINX proxies web requests and passes them on to Gunicorn worker processes that execute the application.
The NiCE Oracle Management Pack enables advanced health and performance diagnostics for Oracle. Health and performance measurement is displayed directly in your Microsoft System Center console. NiCE integrations into SquaredUp dashboards and Cookdowns’ Easy Tune make it even easier to tune Oracle monitoring. Leverage your existing investment, reduce costs, save time and build efficiencies that will last beyond your expectations.
AI Ops is about enabling developers, program managers, service engineers, website reliability engineers etc. to efficiently build as well as run online services or applications at scale with AI & ML techniques. AI Ops is expected to help improve service quality. customer satisfaction, enhance technology productivity, and reduce cost. With hype all around the world regarding artificial intelligence, IT leaders are sceptical whether it will actually be useful to them or will it add to their costs.
Netdata contributors have greatly influenced the growth of our company and are essential to our success. The time and expertise that contributors volunteer are fundamental to our goal of helping you build extraordinary infrastructures. We highly value end-user feedback during product development, which is why we’re looking to involve you in progressing our machine learning (ML) efforts!
Most software architects and developers know that they need to monitor their systems. What often prevents them from implementing an effective monitoring solution is the plethora of choices they face. To set up a monitoring solution, you first have to decide what you want to monitor and how you want to monitor it. Then you have to settle for a collection and storage method. Next, you have to implement the interesting metrics in your system and start collecting them.
We have talked about it for a long time, but now it is here: The Icinga DB RC1 In case you managed to avoid all of the talk about it, Icinga DB is the replacement for our IDO (Icinga Data Output). What does this mean for you? It means SPEED. Especially for larger environments. So, what’s in the RC? It is basically a finished product. We want to give both you and us some time to test it out, find bugs and get comfortable with it.
Why is monitoring microservices so important? It’s because we work in a time where systems are complex, distributed across multiple microservices. For example, even a simple e-commerce app may have Ordering, Product Catalog, and Shipping services. Our tooling and practices sometimes struggle to keep up with such complexity.
You can evaluate the effectiveness of an advertising campaign as a whole. But in order to optimize it on an ongoing basis and get the most out of its budget, you need detailed data on the effectiveness of individual channels, creations, and locations. This is what UTM tags (or UTM codes) are for – parameters added to the landing page URL that don’t affect its display but allow the analytical package (e.g. Google Analytics) to record additional information about traffic sources.
Let’s start with a simple picture and a question. You are involved in the day-to-day running of a complex and hybrid cloud of IT systems and applications. These systems, technologies, applications, processes and other platforms perform a number of critical business functions.
