Operations | Monitoring | ITSM | DevOps | Cloud

In the quest for business transformation and digital modernization, organizations have rapidly adopted devops frameworks, microservice architectures, serverless technologies, and containerized infrastructures. However, they have realized that legacy tools cannot adequately address the newer security and monitoring challenges associated with modernization. Sysdig’s mission is to make every cloud platform secure and reliable from source to run.

Innovation in DevSecOps must keep pace with the speed of the dynamic, volatile modern cybersecurity environment. Yesterday’s solution worked beautifully…yesterday. What has it done for me today? Continual iteration and speed are paramount, but they’re not without risks. As a SaaS provider, how do you know that the latest evolution of your product works at scale? How do you know that it works at all?

Efficiently retrieving Kubernetes metrics is the beginning of cluster performance optimization. Cluster metrics such as logs and resources descriptions are crucial as they map the health of your cluster. There’s a Kubernetes tool called K9s that lets you access your Kubernetes cluster metrics swiftly using short keys. K9s prioritizes aesthetics and performance as it displays its contents and functions in an aesthetically pleasing UI.

In every workplace, most work gets done at the most cluttered desks. Yet the business also requires an orderly front office to run efficiently. It’s much the same with your DevOps pipeline environments, as the rough and tumble process of innovating code must ultimately produce cleanly released applications. Continuous integration means that developers perform many builds each day, but few of those builds will advance to production repositories.

Streaming time series data from brokers and services that are on-premises or in the cloud to a cloud-based database is a resource-intensive process requiring third-party software and heavy customizations. Today we’re announcing InfluxDB Native Collectors to make it easy for developers to collect, process, and analyze data by subscribing directly to supported message brokers.

SAN FRANCISCO — August 23, 2022 – InfluxData, creator of the leading time series platform InfluxDB, today announced new serverless capabilities to expedite time series data collection, processing, and storage in InfluxDB Cloud. InfluxDB Native Collectors enable developers building with InfluxDB Cloud to subscribe to, process, transform, and store real-time data from messaging and other public and private brokers and queues with a click of a button.

Technology is the catalyst that propels business innovation. It’s the means of ridding inefficiency, delay, and inconsistency from business processes. Technology is the essential element of success for virtually every business in every industry. That’s why technology excellence ranks at the top of every business leader’s list of priorities. Maintaining the level and quality of technology service you need to be competitive comes with many challenges.

In this issue of the Calico Community Spotlight series, I’ve asked Burak Tahtacioglu from ParkLab Technology to share his experience with Kubernetes and Calico Open Source. Let’s take a look at how Burak started his Kubernetes journey, and the insights he gained from Calico Open Source. Q: Please tell us a little bit about yourself, including where you currently work and what you do there. I am a Sr. Software Developer in our Developer Experience team.

Back in May of this year, Verizon published its 15th annual Data Breach Investigation Report (DBIR) for 2022 which states that 82% of breaches involved the human element, whether it is the user of stolen credentials, phishing, misuse, or an error, people are the biggest contributors to security incidents and breaches. The past several months has also resulted in numerous phishing attacks via corporate email and SMS text messages.

Today’s cloud environments rely on microservices, service meshes, containers, and orchestration tools and are too complex for traditional tools to measure and monitor performance metrics effectively. The number of interdependent services—and the inherently ephemeral nature of cloud workloads—make it challenging to identify which metrics to monitor and issues to troubleshoot down to the root cause.