Migrating to containerized microservices can enable significant savings on operations and cloud expenditures. However, those savings cannot be realized without a robust orchestration tier to manage application lifecycles, automate deployments, and enable scaling.
Kubernetes is the industry’s de-facto container orchestration framework because it provides all of those services and more. Since its 1.0 release in 2015, Kubernetes has matured into a complete application management platform and become so wildly popular that all major cloud providers now offer it as a managed service. From being used primarily for supporting stateless applications, Kubernetes has been increasingly popular to deploy (primarily non-relational) database workloads as well leveraging its increasingly sophisticated persistence data management and storage interfaces. However, these benefits come at the cost of operational complexity and a steep learning curve.
OpsGuru’s Kubernetes experts will help you plan, deploy, operate, and migrate to your Kubernetes platform of choice. We have deep experience in operating Kubernetes on all major cloud providers, as well as bare-metal. Our team consists of active Kubernetes community members and contributors that will save you time and money with their in-depth technical knowledge of the platform’s strengths, weaknesses and best practices.
While container orchestration (e.g. Kubernetes) is the key to realizing value from microservices, observability is the key to maintaining the health of your systems and the sanity of your operators. Prometheus shares much of the same pedigree as Kubernetes - having been created as an open-source implementation of Google’s internal monitoring system. Given that Kubernetes was designed as the successor to Google’s Borg and Prometheus as a reimplementation of Borgmon, it is no surprise that the two projects maintain a compelling symbiosis.
Prometheus’ simple operational model, efficient time-series database, and rich query language make it an excellent choice for monitoring most types of large systems. Prometheus is widely adopted for diverse workloads from ML and Big Data pipelines to data lakes, and even IoT applications.
In large systems, component failure is a rule. Your ability to achieve Service Level Objectives depends directly on your team’s visibility into the system. Whatever your platform of choice, our experts will help you design, build, optimize and operate a Prometheus system that minimizes your team’s time-to-resolution and maximizes their peace-of-mind.
Istio service mesh has been at the forefront of many people in the past little while, many people have heard about it, pondered on it, and been assessing if they should adopt it. As the industry increasingly moves to managed application platforms, like managed clouds and/or Kubernetes, many of the old bottlenecks to productivity are being moved. Where once automating the deployment of hundreds of components across a global infrastructure was only attempted by the largest engineering organizations. It is now one of the basic functions of any operations team. Instead, the bottleneck has moved to the more dynamic and complex worlds of service discovery and networking.
Now that we can achieve continuous deployment of hundreds of components, we need new tools for managing the communication between those components. As new components are released, existing services need to be made aware. As development practices mature, managing canary releases become more valuable. And when errors occur, the ability to define intelligent circuit-breakers, timeouts, and retry policies is essential.
These are the problems being addressed by the new class of infrastructure middleware known as Service Mesh. And while the problems themselves are not new, the scale at which they need to be solved has outgrown previous methods that often relied on manual intervention or, at best, statically defined mechanisms. Service meshes allow us to define dynamic communication, routing, and failure handling policies that improve the flexibility, operability, and resiliency of your systems.
While many solutions are being developed in the Service Mesh space. Istio is among a small number of mature products backed by significant efforts from companies like Google, Lyft, and IBM. This, combined with its close integration with Kubernetes and Prometheus, has made Istio our Service Mesh of choice for large-scale deployments.
Our team has designed and implemented service meshes that support millions of requests per second in throughput across hundreds of service components. When the time comes for your team to take the next step in their microservices journey, let us provide a roadmap to success.