In the old days of pushing tin and cardboard -- i.e., servers and packaged software -- it was comparatively easy to land a deal, hand the account from sales executive to post-sales engineering/support, then move on to the next opportunity. Today, in the cloud-enabled world, there is no more tin (unless you are a cloud or platform provider) and no more software DVDs in boxes. Software-as-a-service (SaaS) offerings require different customer engagement.
Would you know if your website went down? What would a potential customer think if they tried to access your website and found that it was offline? Would they return for a second time? Almost all businesses maintain some sort of online presence, and even for companies with large IT teams, it is simply infeasible for an individual or team to manually monitor the status of a particular website.
Affiliate Marketing has been around for over 20 years, with the first affiliate program set up in1994 by PC Flowers ; Gifts to sell flowers online. This was followed a couple of years laterby Amazon who set up their own affiliate marketing program in 1996. Since then a vastarray of affiliate programs have gone online across the world, and today the AffiliateMarketing industry is estimated to be worth over US$12 Billion a year according to theInternational Advertising Bureau.
SQL performance tuning can be a tricky thing. We spend so much time focusing on our business logic, it’s easy to leave the database behind in the dust. But it’s important to keep the DB in mind to maintain quality performance. We need tools in our toolbox to tune our SQL performance. In this post, we map out six tips to help you tune SQL Server. Learn more and try Raygun free for 14 days.
Responsible for collecting various system and service metrics and forwarding them downstream to a backend storage system, the role metric collectors play in monitoring pipelines is crucial. Despite this fact, they often get left in the shadows cast by the beautiful frontend analysis tools like Kibana or Grafana. In the world of open source monitoring stacks, Metricbeat and Telegraf stand out as the most popular metric collectors. The truth is that they do much more than simply collect metrics.
If you have deployed a Java application in production, you’ve probably encountered a situation where the application suddenly starts to take up a large amount of CPU. When this happens, application response becomes sluggish and users begin to complain about slow response. Often the solution to this problem is to restart the application and, lo and behold, the problem goes away – only to reappear a few days later.
One of the great promises of serverless has always been that it would free developers to focus on writing code without having to give too much consideration to the underlying infrastructure. But the advantages presented by the instantly, infinitely scalable nature of serverless come with limitations and unique considerations that you need to take into account.
In the 20th century we were programmers. In the 21st century, developers. With the massification of telecommunications worldwide, operators began to help us in our work. That’s where the term DevOps (“developers” and “operations”) arose, which implies the concept of collaboration of both teams. But since change is the only constant, other practical considerations have forced us to see the entire forest instead of just a few trees.
Ever wondered what’s under the hood of your neighbors’ car, the situation in their wallet or the configuration of their serverless stack? Well wonder no more! Today we will bring you the statistics of Dashbird so you could compare your Lambda functions with others. Unfortunately, the car and the wallet thingy you should figure out on your own. Let’s start… (I hope you like charts)
