One of the benefits of deploying software on the cloud is allocating a variable amount of resources to your platform as needed. To do this, your platform must be built in a scalable way. The platform must be able to detect when more resources are required and assign them. One method of doing this is the Elastic Load Balancer provided by AWS. Elastic load balancing will distribute traffic in your platform to multiple, healthy targets. It can automatically scale according to changes in your traffic.

So, you’ve decided to go with ELK to centralize, manage, and analyze your logs. Wise decision. The ELK Stack is now the world’s most popular log management platform, with millions of downloads per month. The platform’s open source foundation, scalability, speed, and high availability, as well as the huge and ever-growing community of users, are all excellent reasons for this decision.

Those of us of a certain age know well the saying “Nobody got fired for buying IBM.” In the log analysis and security world, we’ve become lucky to get to the point where people are saying “Nobody gets fired for buying Splunk.” Our success in these areas has definitely created a perception for what products Splunk has and what we can offer to our customers. The problem is that most of these perceptions don’t capture the full power of Splunk.

On December 7, 2021, Amazon’s cloud services recently suffered a major outage that not only affected Amazon services, but also many third-party services we use day-to-day, including Netflix, Disney+, Amazon Alexa, Amazon deliveries and Amazon Ring. Causes for the outage, which began at 7:30 am PST and lasted nearly seven hours, were detailed in a Root Cause Analysis report published by AWS that shed light on factors that may have contributed to the extended length of the disruption.

We’re well into 2022, and it’s full steam ahead addressing challenges and moving IT and SRE projects to completion. Are you ready for the challenges ahead of you? Do you feel prepared to handle the work you know about…and the work that’s sure to come your way? Are you ready for the end-of-the-year budget planning process that will be here before you know it? To help, I’d like to share my learnings from 20+ years in IT.

2021 was a crazy year, to say the least, not only did we welcome our 2,000th customer, we announced our Series B AND Series C funding rounds, and on top of that, we launched Streamaⓒ – our in-stream data analytics pipeline. But this year, we’re going to top that! We’re eager to share that we are venturing into cybersecurity!

Many companies are looking to find a source of threat intelligence that can give them better visibility into the risks unique to their technology stack. While some may not be using threat intelligence, others may not be getting the value they could. Choosing and integrating threat intelligence sources into your cybersecurity monitoring is challenging, but you do need to keep some considerations in mind during the process.

Since our inception, Sumo Logic has been laser-focused on delivering real-time machine data analytics to accelerate digital transformation, while helping businesses effectively build, run, and secure their modern applications and infrastructure—in the cloud or in hybrid environments.

As an architect at SolarWinds, it's essential to work with our own monitoring tools as a form of quality control and source for innovation. As one of the largest players in the IT monitoring and management world, we're always thinking about ways to make it seamless for customers to work across our suite of tools. One of those tools I'll focus on today is SolarWinds® Loggly®—our log management and analytics product, which is also a part of our APM integrated experience.

This blog post discusses some of the best practices for balancing the costs of cloud traffic monitoring while maintaining a reasonable level of visibility. Progress Flowmon 12 has introduced the processing of native flow logs from Google Cloud and Microsoft Azure, plus it has enhanced support for Amazon Web Services (AWS) flow logs.